Electrical & Computer Engineering Scholarship Report 2016-2017

Engineering for Society

Boldly innovating to better our world

Chair’s Message | 1 Quick Facts | 2 Honors | 3 Our Faculty | 6

2016 | 2017 SCHOLARSHIP REPORT Electrical and Computer Engineering

WE ARE A LEADER IN EXPERIENTIAL EDUCATION AND INTERDISCIPLINARY RESEARCH, FOCUSED ON ENGINEERING FOR SOCIETY

We in the Department of Electrical and Computer Engineering are happy to provide you with our Annual Scholarship Report. This report highlights the research and accomplishments of our esteemed faculty in the past year, serving as a reminder of the real-world implications of the work being done here at Northeastern. There are a couple of exciting initiatives we would like to bring to your attention. In particular, the National Science Foundation named Associate Professor Tommaso Melodia director of research of the Project Office for the Platforms for Advanced Wireless Research initiative, also known as PAWR. PAWR will fund the research and development of multiple community-scale platforms supporting next-generation wireless communications networks across the U.S. Over the next seven years, the PAWR Project Office will oversee close to $100 million in investments from the National Science Foundation. Professor Edmund Yeh will lead Northeastern as a member of a group that was given a four-year, $10 million research project from the Defense Advanced Research Projects Agency. This group, Northeastern, MIT, and Raytheon BBN, will work hand-in-hand to research advance wireless communication technology. Lastly, COE Distinguished Professor David Kaeli received a $4.6 million, four-year award from the National Science Foundation to continue and expand the CyberCorpsÂŽ Scholarship for Service program. The renewal of this 2012 grant will allow the program to continue to prepare highly-qualified cybersecurity professionals for entry in the government workforce. We hope you can come see for yourself the exciting work being done in our wonderful department and college. Sincerely, Miriam Leeser Interim Chair of Electrical and Computer Engineering m.leeser@northeastern.edu

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QUICK FACTS — Electrical and Computer Engineering

324

22

240

masters students

doctoral students

24.8% FEMALE

18

YOUNG INVESTIGATOR Awards

28.3% FEMALE

53 TENURED/ TENURE-TRACK Faculty

NATIONAL SCIENCE FOUNDATION CAREER Awards

13

IEEE FELLOWS

$53

MILLION IN ACTIVE RESEARCH GRANTS

$17M ANNUAL FACULTY RESEARCH EXPENDITURES NSF 21% DOD/DARPA 18% DHS 27% NIH 7%

DOE 4% CORPORATE 12% FEDERAL/OTHER 11%

$17M

The department offers seven research concentrations and is either the lead or partner of seven federally-funded research centers.

QUICK FACTS — College of Engineering

13

MULTI-INSTITUTIONAL RESEARCH CENTERS funding by eight federal agencies

DHS DOE

HHS EPA

NSF

NSA NIH

ENGINEERING DEPARTMENTS Bioengineering Chemical Engineering Civil and Environmental Engineering Electrical and Computer Engineering Mechanical and Industrial Engineering

NIST 3566

UNDERGRADUATE students

NEW FALL UNDERGRADUATE students

2015 — 2016

665 729

173 TENURED/ TENURE-TRACK Faculty

3177

GRADUATE students

NEW FALL MS students 2015 — 2016

942 1178

40 NSF CAREER Awards

77 YOUNG INVESTIGATOR Awards 2

FACULTY HONORS AND AWARDS Professor Edmund Yeh received a $1 million, two-year National Science Foundation award for his project, entitled “Software Defined Network-Assisted Named Data Network for Data Intensive Experiments.” The project team will redesign the Large Hadron Collider (LHC) high energy physics program network. Northeastern is the lead on this multi-university initiative, working with the California Institute of Technology and Colorado State University. Professor Edmund Yeh will also lead Northeastern in a $10 million research project funded by DARPA, shared with Raytheon BBN and the Massachusetts Institute of Technology, as part of the Dispersed Computing Program. The research to advance wireless communication technology will build “software instantiations of algorithms and protocol stacks that leverage pervasive, physically dispersed computing platforms to boost application and network performance by orders of magnitude.”

Professor Yongmin Liu, jointly appointed in mechanical and industrial engineering, was awarded a $500K NSF CAREER Award for his project, entitled “Spin Plasmonics for Ultrafast All-Optical Manipulation of Magnetization in Hybrid Metal-Ferromagnet Structures.” Additionally, he was selected as part of the inaugural cohort of SPIE Defense and Commercial sensing Rising Researchers. Liu was also published in Advanced Materials for his paper, “Origami-Based Reconfigurable Metamaterials for Tunable Chirality.”

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Associate Professor Tommaso Melodia has been named the director of research of the Project Office for a National Science Foundation initiative called Platforms for Advanced Wireless Research, or PAWR, which will disburse over the next seven years nearly $100 million in investments from the NSF and more than 25 companies and industry associations to winning teams. The NSF will fund the Project Office with a five-year, $6.1 million award.

Northeastern University researchers, led by Associate Professor Taskin Padir, have been selected to partner with a consortium of universities, nonprofit institutions, local governments, and industry to launch a new independent robotics institute as part of the U.S. Department of Defense’s Manufacturing USA. The Advanced Robotics Manufacturing Institute, or ARM, project will bring together manufacturing companies and researchers to expand the companies’ robotics capabilities, including the development of nextgeneration robots, educational opportunities, and workforce training. Padir was also awarded a $200K National Science Foundation grant to design “Localization and Accountability Technology for Emergency Responders.” Associate Professor Kaushik Chowdhury was awarded the Presidential Early Career Award for Scientists and Engineers (PECASE). This is the highest honor given by the United States government to science and engineering professionals who are in the early stages of their research careers.

Professor Yun Raymond Fu was awarded a $390K grant from the Army Research Office for his project entitled “Images Assisted Video Recognition by Heterogeneous Knowledge Transfer.” Fu was also named a Fellow of the International Association for Pattern Recognition and member of the Association for Computing Machinery’s Future of Computing Academy.

Assistant Professor Stratis Ioannidis and Professor Edmund Yeh were awarded a $500K National Science Foundation grant for “Caching Networks with Optimality Guarantees.” The project provides distributed, adaptive, stochastic optimization protocols with optimality guarantees over arbitrary network topologies. Professors Stratis Ioannidis and Miriam Leeser have been awarded a $500K National Science Foundation grant to create a “Massively Scalable Secure Computation Infrastructure Using FPGAs.” Assistant Professor Jose MartinezLorenzo, jointly appointed with mechanical and industrial engineering, was awarded a $500K National Science Foundation CAREER Award for his project, entitled “4D mmWave Compressive Sensing and Imaging at One Thousand Volumetric Frames per Second.” One of the main applications of this system is finding security threats hidden under clothing, inside backpacks, or in public spaces, such as sports arenas.

Assistant Professor Mahshid Amirabadi was awarded a $240K grant from ARPA-E to develop “A New Class of Soft-Switching Capacitive-Link Universal Converters for Photovoltaic Application.” Focusing on commercial and utility-scale PV systems, the project will develop a new class of PV inverters that have the potential to radically increase the power density, lifetime, and efficiency while significantly reducing the costs associated with shipping, installation, repair, and replacement. Professor Dagmar Sternad, jointly appointed with the College of Science, was awarded a $500K collaborative NSF grant for her project, entitled “Towards Robots with Human Dexterity.” Assistant Professor Pau Closas has been given an Early Achievement Award by the Institute of Navigation (ION) “for mathematically profound contributions to the design of advanced navigation receivers and for efforts in disseminating GNSS technology.” Professor Hossein Mosallaei’s paper, titled “Turnable Two Dimensional Optical Beam Steering with Reconfigurable Indium Tin Oxide Plasmonic Reflectarry Metasurface,” was selected by the editors of the Journal of Optics to be included in the “Highlights of 2016” collection.

An article, titled “Improving Security Screening: A Comparison of Multistatic Radar Configurations for Human Body Imaging,” by College of Engineering Distinguished Professor Carey Rappaport, electrical and computer engineering (ECE), and Assistant Professor Jose Martinez Lorenzo, jointly appointed in ECE, was one of four featured articles on the cover of IEEE Antennas & Propagation. Vincent Harris, University Distinguished Professor and William Lincoln Smith Chair Professor, affiliated faculty in chemical engineering, received in collaboration with Quorvo an $8M grant (2017-2019) from the Defense Advanced Research Projects Agency for a project, “MAgnetics on GaN for Next GEneration T/R Systems (MAGNETS),” which involves the Integration of active and passive elements in GaN-based Transmit and receive modules. David Kaeli, College of Engineering Distinguished Professor and Agnes Chan of the College of Computer and Information Science, received a $4.6M fouryear renewal award from the National Science Foundation to continue and expand participation in the CyberCorps® Scholarship for Service (SFS) program, which prepares highlyqualified cybersecurity professionals for entry into the government workforce.

PATENTS Assistant Professor Aatmesh Shrivastava was awarded three patents for: “Low Input Voltage Boost Converter with Peak Inductor Current Control and Offset Compensated Zero Detection”; “Methods and Apparatus for a Single Inductor Multiple Output DC-DC Converter Circuit”; and “Low-Power Clock Source.” Professor Emeritus Carmine Vittoria, was awarded a patent for “Apparatus and Method of Measuring Permeability of a Sample Across which a DC Voltage is Being Applied.” COE Distinguished Professor Carey Rappaport, and Assistant Professor Jose Martinez-Lorenzo, jointly appointed with mechanical and industrial engineering, were awarded a patent for “Signal Processing Methods & Systems for Explosive Detection & Identification Using Electromagnetic Radiation.” Associate Professor Matteo Rinaldi was awarded two patents for “Nano- and Micro-Electromechanical Resonators.” Assistant Professor Mahshid Amirabadi was awarded a patent for “Sparse and Ultra-Sparse Partial Resonant Converters.”

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FACULTY BY RESEARCH AREAS

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21

COMMUNICATIONS AND SIGNAL PROCESSING

COMPUTER ENGINEERING, NETWORKS, AND ROBOTICS

Faculty

Dana Brooks Pau Closas Jennifer Dy Deniz Erdogmus Vinay Ingle Hanoch Lev-Ari Sarah Ostadabbas Purnima Ratilal-Makris Masoud Salehi Dagmar Sternad Milica Stojanovic

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Faculty MICROSYSTEMS AND DEVICES Hui Fang Yong-Bin Kim Nicol McGruer Marvin Onabajo Matteo Rinaldi Aatmesh Shrivastava Nian Sun Srinivas Tadigadapa

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Faculty POWER ELECTRONICS, SYSTEMS AND CONTROL Ali Abur Mahshid Amirabadi Bradley Lehman Bahram Shafai Eduardo Sontag Mario Sznaier Gilead Tadmor

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Faculty

Stefano Basagni Octavia Camps Kaushik Chowdhury Yunsi Fei Yun Raymond Fu Stratis Ioannidis David Kaeli Engin Kirda Mieczyslaw Kokar Miriam Leeser Xue Lin Fabrizio Lombardi Waleed Meleis Tommaso Melodia Ningfang Mi Taskin Padir Wil Robertson Gunar Schirner Hanumant Singh Devesh Tiwari Edmund Yeh

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Faculty ELECTROMAGNETICS AND OPTICS Charles DiMarzio Vincent Harris Yongmin Liu Edwin Marengo Jose Martinez Lorenzo Hossein Mosallaei Carey Rappaport Michael B. Silevitch

FACULTY ALI ABUR Professor, Electrical and Computer Engineering

PhD, Ohio State University, 1985 ece.neu.edu/people/abur-ali Power system monitoring, estimation and optimization, fault location, and identification in power grids Fellow, Institute of Electrical and Electronics Engineers

SELECTED PUBLICATIONS Y. Lin, A. Abur Enhancing Network Parameter Error Detection and Correction via Multiple Measurement Scans, IEEE Transactions on Power Systems, 32(3), 2017, 2417-2425 Y. Lin, A. Abur Highly Efficient Implementation for Parameter Error Identification Method Exploiting Sparsity, IEEE Transactions on Power Systems, 32(1), 2017, 734-742 A. Rouhani, A. Abur Observability Analysis for Dynamic State Estimation of Synchronous Machines, IEEE Transactions on Power Systems, 32(4), 2017, 3168-3175 C. Xu, A. Abur Robust Linear State Estimation Using Multi-Level Power System Models with Different Partitions, IEEE Manchester PowerTech, Manchester, UK, 2017, 1-5 G. Feng, A. Abur Fault Location Using Wide-Area Measurements and Sparse Estimation, IEEE Transactions on Power Systems, 31(4), 2016, 2938-2945 M. Gรถl, A. Abur A Fast Decoupled State Estimator for Systems Measured by PMUs, IEEE Transactions on Power Systems, 30(5), 2015, 2766-2771 M. Gรถl, A. Abur A Hybrid State Estimator for Systems With Limited Number of PMUs, IEEE Transactions on Power Systems, 30(3), 2015, 1511-1517

SELECTED RESEARCH PROJECTS Engineering Research Center for Ultra-Wide Area Resilient Electric Energy Transmission Network Co-Principal Investigator, National Science Foundation Zonal State Estimation for Large Interconnected Systems Principal Investigator, PJM Interconnection CRISP: Identification and Control of Uncertain, Highly Interdependent Processes Involving Humans with Applications to Resilient Emergency Health Response Co-Investigator, National Science Foundation

MAHSHID AMIRABADI Assistant Professor, Electrical and Computer Engineering

PhD, Texas A&M University, 2013 ece.neu.edu/people/amirabadi-mahshid Design, modeling and control of power converters, power electronics for renewable energy systems, microgrids, variable speed drives, and wireless power transfer Best Paper Award, Energy Conversion Congress and Exposition 2016; Best Paper Award, IEEE Energy Conversion Congress and Exposition 2016

SELECTED PUBLICATIONS M. Amirabadi Cuk-Based Universal Converters in Discontinuous Conduction Mode of Operation, IEEE Engergy Conversion Congress and Exposition, Milwaukee, WI, 2016, 1-7 S.A.KH. Mozaffari Niapour, M. Amirabadi Extremely Sparse Parallel AC-Link Universal Power Converters, IEEE Transactions on Industry Applications, 52(3), 2016, 2456-2466 M. Amirabadi A New Class of High-Power-Density Universal Power Converters, IEEE Energy Conversion Congress and Exposition, Montreal, QC, 2015, 2596-2602 M. Amirabadi, H.A. Toliyat, J. Baek Bidirectional Soft-Switching Series AC-Link Inverter, IEEE Transactions on Industry Applications, 51(3), 2015, 2312-2320 M. Amirabadi, J. Baek, H.A. Toliyat, W.C. Alexander Soft-Switching AC-Link Three-Phase AC-AC Buck-Boost Converter, IEEE Transactions on Industrial Electronics, 62, 2015, 3-14 M. Amirabadi, J. Baek, H.A. Toliyat Sparse AC-Link Buck-Boost Inverter, IEEE Transactions on Power Electronics, 29, 2014, 3942-2953

SELECTED RESEARCH PROJECTS A New Class of Modular Power Converters for Next-Generation Shipboard Power Systems Principal Investigator, Office of Nacal Research A New Class of Soft-Switching Capacitive-Link Universal Converters for Photovoltaic Application Principal Investigator, Advanced Research Projects Agency-Energy A Reliable PV Inverter for Reducing the Overall Cost of Residential PV Systems Principal Investigator, The Massachusetts Clean Energy Center

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FACULTY STEFANO BASAGNI Associate Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, University of Texas, Dallas, 2001 PhD, University of Milan, Italy, 1998 ece.neu.edu/people/basagni-stefano

PhD, Northeastern University, 1991 ece.neu.edu/people/brooks-dana

Wireless networks, ad hoc networks, underwater and terrestrial sensor networking, and protocol design and testing Distinguished Scientist of the Association for Computing Machinery

SELECTED PUBLICATIONS S. Basagni, V. Di Valerio, P. Gjanci, C. Petrioli Finding MARLIN: Exploiting Multi-Modal Communications for Reliable and Low-Latency Underwater Networking, In Proceedings of IEEE Infocom, Atlanta, GA, 2017, 1-9 M. Girolami, S. Basagni, F. Furfari, S. Chessa SIDEMAN: Service Discovery in Mobile Social Networks, Ad Hoc & Sensor Wireless Networks, 34(1), 2016, 1-39 Y. M. Aval, Y. Han, A. Tu, S. Basagni, M. Stojanovic, Y. Fei Testbed-Based Performance Evaluation of Handshake-Free MAC Protocols for Underwater Acoustic Sensor Networks, In Proceedings of MTS/IEEE OCEANS, Monterey, CA, 2016, 1-7 S. Basagni, C. Petrioli, D. Spenza CTP-WUR: The Collection Tree Protocol in Wake-Up Radio WSNs for Critical Applications, In Proceedings of IEEE ICNC 2016, Kauai, HI, 2016, 1-6 R.G. Cid-Fuentes, M.Y. Naderi, S. Basagni, K.R. Chowdhury, A. Cabellos-Aparicio, E. Alarcon On Signaling Power: Communications over Wireless Energy, In Proceedings of IEEE Infocom 2016, San Francisco, CA, 2016 D. Spenza, M. Magno, S. Basagni, L. Benini, M. Paoli, et al. Beyond Duty Cycling: Wake-Up Radio with Selective Awakenings for Long-Lived Wireless Sensing Systems, Proceedings of IEEE Infocom 2015, Hong Kong, China, April 26-30, 2015 L. Chen, J. Warner, P.L. Yung, D. Zhou, W. Heinzelman, I. Demirkol, U. Muncuk, K.R. Chowdhury, S. Basagni Reach2-Mote: A Range Extending Passive Wake-up Wireless Sensor Node, ACM Transactions on Sensor Networks 11, 4(64), 2015, 1-64

SELECTED RESEARCH PROJECTS Cross Layer Approach to 5G: Models and Protocols Principal Investigator, MathWorks, Inc. Development of the Northeastern University Marine Observatory NETwork Principal Investigator, National Science Foundation Platforms for Advanced Wireless Research Project Office Co-Principal Investigator for Platform Implementation, National Science Foundation

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DANA BROOKS

Biomedical signal and image processing, medical imaging, statistical signal processing, inverse problems, electrocardiography, bio-optical imaging, magnetic resonance imaging, transcranial neuromodulation, estimation of protein conformations from x-ray scattering, regularization, and optimization Søren Buus Outstanding Research Award, College of Engineering; Outstanding Mentor Award, College of Engineering

SELECTED PUBLICATIONS S. Guler, M. Dannhauer, B. Erem, R. Macleod, D. Tucker, S. Turovets, P. Luu, D. Erdogmus, D.H. Brooks Optimization of Focality and Direction in Dense Electrode Array Transcranial Direct Current Stimulation (tDCS), Journal of Neural Engineering, 13(3), 2016, 36020-36033 B. Erem, R. Martinez Orellana, D.E. Hyde, J.M. Peters, F.H. Duffy, P. Stovicek, S.K. Warfield, R.S. MacLeod, G. Tadmor, D.H. Brooks Extensions to a Manifold Learning Framework for Time-Series Analysis on Dynamic Manifolds in Bioelectric Signals, Physical Review E, 93, 2016, 042218 A.E. Onut, M, Akcakaya, J.P. Bardhan, D. Erdogmus, D.H. Brooks, L. Makowski Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture from Small Angle X-Ray Scattering Intensity Measurements, IEEE Transactions on Signal Processing, 63(20), 2015, 5383-5394 S. Kurugol, K. Kose, B. Park, J.G. Dy, D.H. Brooks, M. Rajadhyaksha Automated Delineation of Dermal-Epidermal Junction in Reflectance Confocal Microscopy Image Stacks of Human Skin, Journal of Investigative Dermatology, 135(3), 2014 B. Erem, J. Coll-Font, R. Martinez-Orellana, P. Stovicek, D. Brooks Using Transmural Regularization and Dynamic Modeling for non-Invasive Cardiac Potential Imaging of Endocardial Pacing with Imprecise Thoracic Geometry, IEEE Transactions on Medical Imaging, 3(3), 2014, 726-738

SELECTED RESEARCH PROJECTS Center for Integrative Biomedical Computing Principal Investigator, National Institutes of Health Automated Image Guidance for Diagnosing Skin Cancer with Confocal Microscopy Co-Investigator, National Institutes of Health Collaborative Research: US-German Research Proposal Optimization of Human Cortical Stimulation Principal Investigator, National Science Foundation

FACULTY OCTAVIA CAMPS

KAUSHIK CHOWDHURY

Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

Associate Professor, Electrical and Computer Engineering

PhD, University of Washington, 1992 ece.neu.edu/people/camps-octavia

PhD, Georgia Institute of Technology, 2009 ece.neu.edu/people/chowdhury-kaushik

Robust computer vision; image processing; and machine learning

Dynamic spectrum access, energy harvesting sensor networks, 5G technology, intra-body communication, and protocol design for wireless

SELECTED PUBLICATIONS O. Camps, M. Gou, T. Hebble, S. Karanam, O. Lehmann, Y. Li, R. Radke, Z. Wu, F. Xiong From the Lab to the Real World: Re-Identification in an Airport Camera Network, IEEE Transactions on Circuits and Systems for Video Technology, 27(3), 2017, 540-553 M. Gou, S. Karanam, W. Liu, O. Camps, R.J. Radke A Large-Scale Multi-Camera Person Re-Identification Dataset, Workshop on Target Re-Identification and Multi-Target Camera Tracking in Conjunction with Computer Vision and Pattern Recognition, 2017 X. Zhang, Y. Wang, M. Sznaier, O. Camps Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold, IEEE Conference on Computer Vision and Pattern Recognition, 2016, 4498-4507 Y. Wang, O. Camps, M. Sznaier, B. Roig Solvas Jensen Bregman LogDet Divergence Optimal Filtering in the Manifold of Positive Definite Matrices, 9911, 2016, 221-235 M. Gou, X. Zhang, A. Rates-Borras, S. Asghari-Esfeden, O. Camps, M. Sznaier Person Re-Identification in Appearance Imparied Scenarios, British Machine Vision Conference, 2016 C. Dicle, B. Yilmaz, O. Camps, M. Sznaier Solving Temporal Puzzles, IEEE Conference on Computer Vision and Pattern Recognition, 2016, 5896-5905 Y. Cheng, Y. Wang, M. Sznaier, O. Camps Subspace Clustering with Priors via Sparse Quadratically Constrained Quadratic Programming, IEEE Conference on Computer Vision and Pattern Recognition, 2016, 5204-5212

SELECTED RESEARCH PROJECTS Dynamic Invariants for Video Scenes Understanding Principal Investigator, National Science Foundation Robust Identification of a Class of Structured Systems with High Dimensional Outputs and Applications Co-Principal Investigator, National Science Foundation

ONR Director of Research Early Career Award 2016; Chair of the IEEE Technical Committee on Simulation; National Science Foundation CAREER Award 2015

SELECTED PUBLICATIONS P. Nguyen, U. Muncuk, A. Ashok, K.R. Chowdhury, et al. Battery-Free Identification Token for Touch Sensing Devices, ACM Conference on Embedded Networked Sensor Systems (SenSys), Stanford, CA, 2016 R. Doost-Mohammady, M.Y. Naderi, K.R. Chowdhury Performance Analysis of CSMA/CA based Medium Access in Full-Duplex Wireless Communications, IEEE Transactions on Mobile Computing, 15(6), 2016, 1457-1470 M. Swaminathan, F.S. Cabrera, J.S. Pujol, U. Muncuk, G. Schirner, K.R. Chowdhury Multi-Path Model and Sensitivity Analysis for Galvanic Coupled Intra-Body Communication through Layered Tissue, IEEE Transactions on Biomedical Circuits and Systems, 10(2), 2016, 339-351 M. Swaminathan, U. Muncuk, K.R. Chowdhury Topology Optimization for Galvanic Coupled Wireless Intra-Body Communication, IEEE International Conference on Computer Communications (INFOCOM), San Francisco, 2016 R.G. Cid-Fuentes, M.Y. Naderi, S. Basagni, K.R. Chowdhury, A. Cabellos-Aparicio, E. Alarcรณn On Signaling Power: Communications Over Wireless Energy, IEEE International Conference on Computer Communications (INFOCOM), San Francisco, 2016 S. De, D. Mishra, K.R. Chowdhury Charging Time Characterization for Wireless RF Energy Transfer, IIEEE Transactions on Circuits and Systems II, 64(4), 2015, 362-366

SELECTED RESEARCH PROJECTS Cross Layer Approach to 5G Communications Co-Principal Investigator, MathWorks End-to-end Protocol Designs that Address the Challenges of Distributed Dynamic Spectrum Access Networks Principal Investigator, Office of Naval Research CAREER: IDEA: Integrated Data and Energy Access for Wireless Sensor Networks Principal Investigator, National Science Foundation

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FACULTY PAU CLOSAS Assistant Professor, Electrical and Computer Engineering

PhD, Universitat Politècnica de Catalunya, 2009 ece.neu.edu/people/closas-pau Statistical and array signal processing; estimation and detection theory; Bayesian inference; stochastic filtering; robust statistics; and game theory, with applications to positioning systems; wireless communications, and mathematical biology Duran Farell for Technological Research; EURASIP Best PhD Thesis Award; 2016 Institute of Navigation Early Achievements Award

SELECTED PUBLICATIONS J. Curran, M. Paonni, M. Navarro, S. Pfletschinger, P. Closas, M. Anghileri Coding Aspects of Secure GNSS Receivers, Proceedings of the IEEE, 104(6), 2016, 1271-1287 J. Vilà-Valls, P. Closas, Á. García-Fernández Uncertainty Exchange Through Multiple Quadrature Kalman Filtering, IEEE Signal Processing Letters, 23(12), 2016, 1825-1829 M.G. Amin, P. Closas, A. Broumandan, J.L. Volakis Vulnerabilities, Threats, and Authentication in Satellite-Based Navigation Systems [Scanning the Issue], Proceedings of the IEEE, 104(6), 2016, 1169-1173 J. Vilà-Valls, P. Closas, C. Fernández-Prades, J.A. López-Salcedo, G. Seco-Granados Adaptive GNSS Carrier Tracking Under Ionospheric Scintillation: Estimation vs Mitigation, IEEE Communications Letters, 19(6), 2015, 961-964 D. Dardari, P. Closas, P. Djuric Indoor Tracking: Theory, Methods, and Technologies, IEEE Transactions on Vehicular Technology, 64(4), 2015, 1263-1278 X. Liu, M. Liang, Y. Morton, P. Closas, T. Zhang, Z. Hong Performance Evaluation of MSK and OFDM modulations for Future GNSS Signals, GPS Solutions, 18(2), 2014, 13 A. Moragrega, P. Closas, C. Ibars Supermodular Game for Power Control in TOA-Based Positioning, IEEE Trans. on Signal Processing, 61(12), 2013, 3246-3259 P. Closas, C. Fernández-Prades, J. Vilà-Valls Multiple Quadrature Kalman Filtering, IEEE Transactions on Signal Processing, 60(12), 2012, 6125-6137 P. Closas, C. Fernández-Prades, J.A. Fernández-Rubio A Bayesian Approach to Multipath Mitigation in GNSS Receivers, IEEE Journal of Selected Topics in Signal Processing, 3(4), 2009, 695-706

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CHARLES DIMARZIO Associate Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering, Mechanical and Industrial Engineering

PhD, Northeastern University, 1996 ece.neu.edu/people/dimarzio-charles Optics, microscopy, coherent detection, interaction of light and sound waves, hyperspectral imaging, diffusive optical tomography and ultrasound, landmine detection, magneto-optic sensors, multimodel imaging, and activities include: computer modeling, designing, building and testing of hardware, and processing the resulting data

SELECTED PUBLICATIONS J.L. Hollmann, R. Horstmeyer, C. Yang, C.A DiMarzio Diffusion Model for Ultrasound-Modulated Light, Journal of Biomedical Optics, 19(3), 2014, 035005 J.L. Hollmann, R. Horstmeyer, C. Yang, C.A. DiMarzio Analysis and Modeling of an Ultrasound-Modulated Guide Star to Increase the Depth of Focusing in a Turbid Medium, Journal of Biomedical Optics, 18(2), 2013, 025004 Z. Lai, J. Kerimo, Y. Mega, C.A. DiMarzio Stepwise Multiphoton Activation Fluorescence Reveals a New Method of Melanin Detection, Journal of Biomedical Optics, 18(6), 2013, 061225 Z.R. Hoffman, C. DiMarzio Structured Illumination Microscopy Using Random Intensity Incoherent Reflectance, Journal of Biomedical Optics, 2013

SELECTED RESEARCH PROJECTS Coded-Illumination Fourier Ptychography for High-content Multimodal Imaging Principal Investigator, National Science Foundation

FACULTY JENNIFER DY

DENIZ ERDOGMUS

Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

Associate Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Purdue University, 2001 ece.neu.edu/people/dy-jennifer

PhD, University of Florida, 2002 ece.neu.edu/people/erdogmus-deniz

Machine learning, data mining, statistical pattern recognition, computer vision, and image processing

Brain computer interfaces, cognitive and interactive systems, nonlinear and statistical signal processing, information theory, and machine learning

National Science Foundation CAREER Award

SELECTED PUBLICATIONS S.M. Brown, A. Webb, R.S. Mangoubi, J.G. Dy A Sparse Combined Regression-classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores, Twenty-ninth AAAI Conference on Artificial Intelligence, 2015 J. Ross, P. Castaldi, M. Cho, J.G. Dy Dual Beta Process Priors for Latent Cluster Discovery in Chronic Obstructive Pulmonary Disease, ACM SIGKDD Knowledge Discovery and Data Mining, 2014 D. Niu, J.G. Dy, M.I. Jordan Iterative Discovery of Multiple Alternative Clustering Views, IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7), 2014, 1340-1353 Y. Yan, R. Rosales, G. Fung, J.G. Dy Active Learning from Crowds, Proceedings of the 28th International Conference on Machine Learning (ICML), 2011, 1161-1168 Y. Guan, J.G. Dy, M.I. Jordan A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection, Proceedings of the 28th International Conference on Machine Learning (ICML), 2011, 1073-1080 M. Masaeli, G. Fung, J.G. Dy From Transformation-Based Dimensionality Reduction to Feature Selection, Proceedings of the 27th International Conference on Machine Learning (ICML), 2010, 751-758 Y. Yan, R. Rosales, G. Fung, M. Schmidt, J.G. Dy, et al. Modeling Annotator Expertise: Learning When Everybody Knows a Bit of Something, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS), 9, 2010, 932-939

SELECTED RESEARCH PROJECTS Automated Image Guidance for Diagnosing Skin Cancer With Confocal Microscopy Principal Investigator, National Institutes of Health Genetic Epidemiology of COPD Co-Principal Investigator, National Institutes of Health Spatio-Temporal Extremes and Associations Marine Adaptation and Survivorship under Climate Change and Rising Ocean Temperatures Principal Investigator, National Science Foundation

National Science Foundation CAREER Award; Søren Buus Outstanding Research Award, College of Engineering; College of Engineering Faculty Fellow

SELECTED PUBLICATIONS B.S. Oken, U. Orhan, B. Roark, D. Erdogmus, A. Fowler, A. Mooney, B. Peters, M. Miller, M. Fried Oken BrainComputer Interface with Language ModelEEG Fusion for Lockedin Syndrome, Neurorehabilitation and Neural Repair, 28(4), 2014, 387-394 A. Fowler, B. Roark, U. Orhan, D. Erdogmus, M. Fried-Oken Improved Inference and Autotyping in EEGbased BCI Typing Systems, ASSETS 2013, Bellevue, WA, Oct 2013 H. Nezamfar, U. Orhan, S. Purwar, K. Hild, B. Oken, D. Erdogmus Decoding of Multichannel EEG Activity from the Visual Cortex in Response to Pseudorandom Binary Sequences of Visual Stimuli, International Journal of Imaging Systems and Technology, 21(2), 2011, 139-147 Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, K.E. Hild II A Framework for Rapid Visual Image Search using Singletrial Brain Evoked Responses, Neurocomputing, 74, 2011, 2041-2051 D. Erdogmus BCI: A Timely Opportunity for Projectbased Learning, National Academy of Engineering Frontiers in Engineering Education Workshop, Irvine, California, Dec 2010

SELECTED RESEARCH PROJECTS CAREER: Signal Models, Channel Capacity, and Information Rate for Noninvasive Brain Interfaces Principal Investigator, National Science Foundation Automated Classification of Retinopathy of Prematurity using Machine Learning Investigator, National Institutes of Health Strengthening Human Adaptive Reasoning and Problem Solving (SHARP) Co-Principal Investigator, Intelligence Advanced Research Projects Activity The Rehabilitation Engineering Research Center on Augmentative and Alternative Communication Co-Principal Investigator, U.S. Department of Education

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FACULTY HUI FANG Assistant Professor, Electrical and Computer Engineering

PhD, University of California, Berkeley, 2014 ece.neu.edu/people/fang-hui Nano-electronics, bio-electronics, materials surfaces and interfaces

SELECTED PUBLICATIONS H. Fang, K.J. Yu, C. Gloschat, Z. Yang, E. Song, C.-H. Chiang, J. Zhao, S.M. Won, S. Xu, M. Trumpis, Y. Zhong, S.W. Han, Y. Xue, D. Xu, S.W. Choi, G. Cauwenberghs, M. Kay, Y. Huang, J. Viventi, I.R. Efimov, J.A. Rogers Capacitively Coupled Arrays of Multiplexed Flexible Silicon Transistors for Long-Term Cardiac Electrophysiology, Nature Biomedical Engineering, 1, 2017, 0038 K.J. Seo, Y. Qiang, I. Bilgin, S. Kar, C. Vinegoni, R. Weissleder, H. Fang Transparent Electrophysiology Microelectrodes and Interconnects from Metal Nanomesh, ACS Nano, 11, 2017, 4365-4372 H. Fang, J. Zhao, K. Yu, E. Song, A.B. Farimani, C.H. Chiang, X. Jin, Y. Xue, D. Xu, W. Du, K.J. Seo, Y. Zhong, Z. Yang, S. Won, G. Fang, S.W. Choi, S. Chaudhuri, Y. Huang, M. Ashraful Alam, J. Viventi, N.R. Aluru, J.A. Rogers Ultra-thin, Transferred Layers of Thermally Grown Silicon Dioxide as Biofluid Barriers for Bio-Integrated Flexible Electronic Systems, PNAS, 113, 2016, 11682-11687 K.J. Yu, D. Kuzum, S.-W. Hwang, B.H. Kim, H. Juul, N.H. Kim, S.M. Won, K. Chiang, M. Trumpis, A.G. Richardson, H. Cheng, H. Fang, et. al. Bioresorbable Silicon Electronics for Transient Spatiotemporal Mapping of Electrical Activity from the Cerebral Cortex, Nature Materials, 15, 2016, 782-791 H. Fang, C. Battaglia, C. Carraro, S. Nemsak, B. Ozdol, J. S. Kang, H.A. Bechtel, S.B. Desai, et. al. Strong Interlayer Coupling In Van Der Waals Heterostructures Built From Single-Layer Chalcogenides, Proceedings of the National Academy of Sciences, 111, 2014, 6198-6202 H. Fang, H.A. Bechtel, E. Plis, M. C. Martin, S. Krishna, E. Yablonovitch, A. Javey Quantum of Optical Absorption in Two-Dimensional Semiconductors, Proceedings of the National Academy of Sciences,110, 2013, 11688-11691 H. Fang, M. Tosun, G. Seol, T-C. Chang, K. Takei, J. Guo, A. Javey Degenerate n-Doping of Few-Layer Transition Metal Dichalcogenides by Potassium, Nano Letters, 13, 2013, 1991-1995 H. Fang, S. Chuang, T. C. Chang, K. Takei, T. Takahashi, A. Javey High-performance Single Layered WSe2 p-FETs with Chemically Doped Contacts, Nano Letters, 12, 2012, 3788-3792

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YUNSI FEI Professor, Electrical and Computer Engineering

PhD, Princeton University, 2004 ece.neu.edu/people/fei-yunsi Computer architecture, embedded systems, hardware-oriented security, design automation, mobile computing, and underwater sensor networks National Science Foundation CAREER Award; College of Engineering Faculty Fellow

SELECTED PUBLICATIONS P. Luo, K. Athanasiou, Y. Fei, T. Wahl Algebraic Fault Analysis of SHA-3, IEEE Design, Automation and Test in Europe Conference & Exhibition, Lausanne, Switzerland, 2017 Z. Juang, Y. Fei, D.R. Kaeli A Novel Side-Channel Timing Attack on GPUs, ACM Great Lake Symposium on VLSI, 2017 B. Jiang, Y. Fei A PHEV Power Managment Cyber-Physical System for On-Road Applications, IEEE Transactions on Vehicular Technolgy, 66(7), 2017, 5797-5807 C. Luo, Y. Fei, A.A. Ding Side-Channel Power Analysis of XTS-AES, IEEE Design, Automation & Test in Europe, Lausanne, Switzerland, 2017 B. Jiang, Y. Fei Vehicle Speed Prediction by Two-Level Data Driven Models in Vehicular Networks, IEEE Transactions on Intelligent Transport Systems, 18(7), 2017, 1793-1801 Y. Han, Y. Fei, A.A. Ding A Stochastic MAC Protocol with Randomized Power Control for Underwater Sensor Networks, IEEE International Conference on Sensing, Communication and Networking, London, UK, 2016

SELECTED RESEARCH PROJECTS TWC: Medium: Automating Countermeasures and Security Evaluation Against Software Side-Channel Attacks Principal Investigator, National Science Foundation Embedded Hardware-based Security and Side Channel Analysis Principal Investigator, Analog Devices MRI: Development of a Testbed for Side-channel Analysis and Security Evaluation-TeSCASE Principal Investigator, National Science Foundation STARSS: Side-Channel Analysis and Resiliency Targeting Accelerators Co-Principal Investigator, National Science Foundation and Semiconductor Research Corporation

FACULTY YUN RAYMOND FU

VINCENT G. HARRIS

Associate Professor, Electrical and Computer Engineering; jointly appointed, Computer and Information Science

University Distinguished Professor, William Lincoln Smith Professor, Electrical and Computer Engineering; affiliated faculty, Chemical Engineering

PhD, University of Illinois, 2008 ece.neu.edu/people/fu-yun

PhD, Northeastern University, 1990 ece.neu.edu/people/harris-vincent

Machine learning and computational intelligence, social media analytics, human-computer interaction, and cyberphysical systems

Design and processing of advanced materials with emphasis on high frequency device applications for radar, communication, and sensing

Office of Naval Research Young Investigator Award; Army Research Office Young Investigator Award; International Neural Network Society’s Young Investigator Award; Søren Buus Outstanding Research Award; Grainger Foundation Frontiers of Engineering Award

SELECTED PUBLICATIONS S. Li, Y. Fu Learning Balanced and Unbalanced Graphs via Low-Rank Coding, IEEE Transactions on Knowledge and Data Engineering (T-KDE), 27(5), 2015, 1274-1287 Y. Fu Human-Centered Social Media Analytics, Springer, 2014 Y. Kong, Y. Jia, Y. Fu Interactive Phrases: Semantic Descriptions for Human Interaction Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(9), 2014, 1775-1788 Y. Fu Low-Rank and Sparse Modeling for Visual Analysis, Springer, 2014 K. Li, Y. Fu Prediction of Human Activity by Discovering Temporal Sequence Patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 2014, 1644-1657

SELECTED RESEARCH PROJECTS Pinpoint Geolocation Using Multi-Source Multi-Dimensional Big Data from Social Media Principal Investigator, Naval Postgraduate School Deep Structures Boosted Self-Organized Behavior Pattern Learning for Anomaly Detection Principal Investigator, Office of Naval Research Wireless Sensing of Speech Kinematics & Acoustics for Remediation Co-Principal Investigator, National Science Foundation Intention Sensing Through Video-Based Imminent Activity Prediction Principal Investigator, Army Research Office Methods for Multimedia Search and Retrieval by Fusing Data Across Various Sources or Domains Principal Investigator, MIT Lincoln Laboratory Multimodal Speech Translation for Assistive Communication Co-Principal Investigator, National Institutes of Health Sensing and Modeling Behavior in Response to Environmental Changes Principal Investigator, Air Force Office of Scientific Research

Fellow, American Association for the Advancement of Science, Distinguished Scientist Award, The Materials, Minerals, and Metals Society; Fellow, Institute of Electrical and Electronics Engineers; Fellow, American Physical Society; Fellow, Institute of Physics; Fellow, Institute of Engineering and Technology; Institute of Metal Research’s Lee Hsun Lecture Award; Fulbright Senior Fellow; Søren Buus Outstanding; Research Award, College of Engineering

SELECTED PUBLICATIONS A.S. Sokolov, M. Geiler, V.G. Harris Broadband Ferromagnetic Resonance Linewidth Measurement by a Microstripline Transmission Resonator, Applied Physics Letters, 108(17), 2016 P. Taheri, R. Barua, J. Hsu, M. Zamanpour, Y. Chen, V.G. Harris Structure, Magnetism, and Magnetostrictive Properties of Mechanically Alloyed Fe 81 Ga 19, Journal of Alloys and Compounds, 661, 2016, 306-311 X. Wu, S. Yan, W. Liu, Z. Feng, Y. Chen, V.G. Harris Influence of Particle Size on the Magnetic Spectrum of NiCuZn Ferrites for Electromagnetic Shielding Applications, Journal of Magnetism and Magnetic Materials, 401, 2016, 1093-1096 M. Bi, X. Wang, H. Lu, L. Deng, K.J. Sunday, M.L. Taheri, V.G. Harris Magnetic and Microwave Properties of Amorphous FeCoNbBCu Thin Films, Journal of Applied Physics, 119(2), 2016 F. Chen, X. Wang, Y. Nie, Q. Li, J. Ouyang, Z. Feng, Y. Chen, V.G. Harris Ferromagnetic Resonance Induced Large Microwave Magnetodielectric Effect in Cerium Doped Y3Fe5O12 Ferrites, Scientific Reports, 6, 2016, 28206 Z. Su, Q. Li, X Wang, B. Hu, Z. Feng, Y. Chen, V.G. Harris Room Temperature Magnetoelectric Effect of YFeO3-Y3Fe5O12 Ferrite Composites, Journal of Alloys and Compounds, 656, 2016, 465-469

SELECTED RESEARCH PROJECTS Accelerated Development of Magnetodielectrics Having Equivalent Permeability and Permittivity for RF Applications Principal Investigator, Rogers Corp Magnetodielectric Heterostructures and Composites Principal Investigator, Rogers Corp Nonlinear Properties of Ferrite Materials Principal Investigator, Raytheon

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FACULTY VINAY INGLE

STRATIS IOANNIDIS

Associate Professor, Electrical and Computer Engineering

Assistant Professor, Electrical and Computer Engineering

PhD, Rensselaer Polytechnic Institute, 1981 ece.neu.edu/people/ingle-vinaykumar

PhD, University of Toronto, 2009 ece.neu.edu/people/ioannidis-stratis

Multidimensional signal processing and hyperspectral imaging

Distributed systems, networking, machine learning, big data, and privacy

SELECTED PUBLICATIONS

SELECTED PUBLICATIONS

V. Ingle, J. Proakis Digital Signal Processing Using MATLAB, Cengage Learning, Fourth Edition, 2017 N. Bosowski, V. Ingle, D. Manolakis Generalized Linear Models for Count Time Series, International Conference on Acoustics, Speech and Signal Processing, New Orleans, 2017 R. Herrero, V. Ingle Backward and Forward Linear Prediction Applied to Ultraspectral Image Processing—Effects on Rate Distortion, Signal Image and Video Processing, 10(4), 2016, 639-646 M. Pieper, D. Manolakis, E. Truslow, T. Cooley, M. Brueggeman, A. Weisner, J. Jacobson, V. Ingle In-Scene LWIR Downwelling Radiance Estimation, SPIE 9976, Imaging Spectrometry XXI, 99760E, 2016 E. Truslow, S. Golowich, D. Manolakis, V. Ingle Performance Metrics and Evaluation of Chemical Identification Systems, Optical Engineering, SPIE , 55(2), 2016 R. Herrero, V. Ingle Preprocessing and Compression of Hyperspectral Images Captured On-Board UAVs, Conference on Unmanned/ Unattended Sensors and Sensor Networks, SPIE Security and Defence, Edinburgh, 2016

D. Koutra, A. Dighe, S. Bhagat, U. Weinsberg, S. Ioannidis, C. Faloutsos, J. Bolot PNP: Fast Path Ensemble Method for Movie Design Knowledge Discovery and Data Mining, KDD, 2017 S. Ioannidis, E. Yeh Adaptive Caching Networks with Optimality Guarantees, International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS), Antibes San Juan Les Pins, 2016 K. Nayak, X.S. Wang, S. Ioannidis, U. Weinsberg, N. Taft, E. Shi GraphSC: Parallel Secure Computation Made Easy, Symposium on Security and Privacy (S&P), San Jose, CA, 2015 A. Karbasi, S. Ioannidis, L. MassouliĂŠ From Small-World Networks to Comparison-Based Search, IEEE Transactions on Information Theory (IT), 2015

SELECTED RESEARCH PROJECTS Anamoly Detection in Sequential Image Frames using Low-Rank Modeling Principal Investigator, Massachusetts Institute of Technology Lincoln Lab Joint Exploitation of LIDAR and Hyperspectral Imagery Principal Investigator, Massachusetts Institute of Technology Lincoln Lab Machine Learning Algorithms for Anamoly Detection in Sequential Image Frames Principal Investigator, Massachusetts Institute of Technology Lincoln Lab Performance Modeling and Prediction for LWIR Hyperspectral Target Detection Systems Principal Investigator, Massachusetts Institute of Technology Lincoln Lab Signal Processing of Long Wave Hyperspectral Imagery Principal Investigator, Massachusetts Institute of Technology Lincoln Lab

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SELECTED RESEARCH PROJECTS Assistive Integrative Support Tool for Retinopathy of Prematurity Principal Investigator, National Science Foundation Caching Networks with Optimality Guarantees Principal Investigator, National Science Foundation Massively Scalable Secure Computation Infrastructure Using FPGAs Principal Investigator, National Science Foundation Privacy-Preserving Data Mining over FPGAs in the Datacenter Principal Investigator, Google Faculty Research Award

FACULTY DAVID KAELI COE Distinguished Professor, Electrical and Computer Engineering; affiliated faculty: Bioengineering, Computer and Information Science

PhD, Rutgers University, 1992 ece.neu.edu/people/kaeli-david Computer architecture; GPUs; heterogeneous computing; performance analysis; security and information assurance; hardware reliability and recovery; Big Data analytics; workload characterization Fellow, Institute of Electrical and Electronics Engineers; Distinguished Scientist, Associate of Computing Machinery; Distinguish Professor, Heterogeneous Systems Architecture Foundation; National Science Foundation CAREER Award

SELECTED PUBLICATIONS A. Jadidi, M. Arjomand, M. Tavana, D. Kaeli, M. Kandemir, C. Das Exploring the Potential for Collaborative Data Compression and Hard-Error Tolerance in Resistive Memories, 47th IEEE/ IFIP International Conference on Dependable Systems and Networks, 2017 X. Gong, Z. Chen, A.K. Ziabari, R. Ubal, D. Kaeli TwinKernels: An Execution Model to Improve GPU Hardware Scheduling at Compile Time, Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017, 39-49 Z.-H. Jiang, Y. Fei, D. Kaeli A Complete Key Recovery Timing Attack on a GPU, Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2016, 394-405

SELECTED RESEARCH PROJECTS Engineering Strong, Highly Conductive Nanotube Fibers via Fusion Co-Principal Investigator, National Science Foundation Exploring Analysis of Environment and Health Through Multiple Alternative Clustering Co-Principal Investigator, National Science Foundation Leveraging Intra-Chip/Inter-Chip Silicon Photonic Networks for Designing Next-Generation Accelerators Principal Investigator, National Science Foundation Multi-Agent Modeling Framework for Mitigating Distributed Disruptions in Critical Supply Chains Co-Principle Investigator, National Science Foundation Puerto Rico Testsite for Exploring Environmental Contamination Threats Co-Principal Investigator, National Institutes of Environmental Health Sciences Side-Channel Analysis and Resiliency Targeting Accelerators Principle Investigator, National Science Foundation and Semiconductor Research Corporation

YONG-BIN KIM Professor, Electrical and Computer Engineering

PhD, Colorado State University, 1996 ece.neu.edu/people/kim-yong-bin Integrated circuit design and for nanoelectronics and nano technology, high speed system integration for signal processing and communication applications, bio-chip and bio-sensor interface circuit design, electronic neuron circuit design, low power adaptive robot controller circuit design; high performance and low power VLSI design, systemon-chip (soc), and Physical VLSI CAD

SELECTED PUBLICATIONS G. Jeon, Y.-B. Kim A 4Gb/s Half-Rate DFE with Switched-Cap and IIR Summation for Data Correction, IEEE International Symposium on Circuits and Systems, Baltimore, MD, 2017, 2392-2395 G. Jeon, Y.-B. Kim Switched Capacitor and Infinite Impulse Response Summation for a Quad-Rate DFE 4Gb/s Data Rate, ACM GLSVLSI Conference, Banff, Alberta, Canada, 2017, 439-442 H. Zhu, W. Yang, G. Engel, Y.-B. Kim A Two-Parameter Calibration Technique Tracking Temperature Variations for Current Source Miamatch in DACs, IEEE Transactions on Circuits and Systems II, 64(4), 2017, 387-391 W. Wei, K. Namba, F. Lombardi, Y.-B. Kim A Novel Scheme for Tolerating Single Event/Multiple Bit Upsets (SEU/MBU) in Non-Volatile Memories, IEEE Transactions on Computers, 65(3), 2016, 781-790 Y. Choi, Y.-B. Kim A Novel On-Chip Impedance Calibration Method for LPDDR4 Interface Between DRAM and AP/SoC, Association for Computing Machinery GLSVLSI Conference, 2016, 215-219 H. Zhu, R. Kapusta, Y.-B. Kim Noise Reduction Technique Through Bandwidth Switching for Switched-Capacitor Amplifier, IEEE Transactions on Circuits and Systems 1(TCAS1), 62(7), 2015, 1707-1715 I. Jung, Y.-B. Kim A 12-bit 32MS/s SAR ADC Using Built-In Self Calibration Technique to Minimize Capacitor Mismatch, 2014 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems(DFT), August 3-6, Amsterdam, Netherlands, 2014, 275-279

SELECTED RESEARCH PROJECTS Semi-Self Calibration of High Speed Transceiver for DRAM Interface Principal Investigator, Hynix Semiconductor Compact and Power Efficient Integrated Voltage Tunable RF Multiferroic Inductors with Wide Tunable Inductance Principal Investigator, Winchester Technology

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FACULTY ENGIN KIRDA Professor, Electrical and Computer Engineering; jointly appointed, Computer and Information Science

PhD, Technical University of Vienna, 2002 ece.neu.edu/people/kirda-engin Malware analysis and detection; web security; social network security; reverse engineering; intrusion detection

SELECTED PUBLICATIONS M. Weissbacher, W. Robertson, E. Kirda, C. Kruegel, G. Vigna ZigZag: Automatically Hardening Web Applications Against Client-Side Validation Vulnerabilities, In USENIX Security Symposium, Washington DC, 2015 C. Mulliner, W. Robertson, E. Kirda Hidden GEMs: Automated Discovery of Access Control Vulnerabilities in Graphical User Interfaces, In IEEE Symposium on Security and Privacy (S&P), San Jose, CA, 2014 S. Le Blonde, A. Uritesc, C. Gilbert, Z. Leong Chua, P. Saxena, E. Kirda Look at Targeted Attacks Through the Lense of an NGO, In USENIX Security Symposium, San Diego, CA, 2014 K. Onarlioglu, C. Mulliner, W. Robertson, E. Kirda PrivExec: Private Execution as an Operating System Service, In IEEE Symposium on Security and Privacy (S&P), San Francisco, CA, 2013 L. Bilge, E. Kirda, C. Kruegel, M. Balduzzi EXPOSURE: Finding Malicious Domains Using Passive DNS Analysis, In Network and Distributed Systems Security Symposium (NDSS) San Diego, CA, 2011

SELECTED RESEARCH PROJECTS Continuum: Finding Space and Time Vulnerabilities in Java Programs Co-Principal Investigator, Defense Advanced Research Projects Agency DarkDroid: Exposing the Dark Side of Android Marketplaces Principal Investigator, Defense Advanced Research Projects Agency Firmalice: Modeling and Identifying Malice in Firmware Principal Investigator, Defense Advanced Research Projects Agency TWC: Medium: Collaborative: Automated Reverse Engineering of Commodity Software Co-Principal Investigator, National Science Foundation ZIGZAG: Secure Execution of Client-Side Web Application Components Principal Investigator, Office of Naval Research

MIECZYSLAW KOKAR Professor, Electrical and Computer Engineering

PhD, Wroclaw University of Technology, 1973 ece.neu.edu/people/kokar-mieczyslaw Cognitive radio; software engineering-selfcontrolling software; information fusion

SELECTED PUBLICATIONS Y. Chen, J. Moskal, M.M. Kokar, K. Chowdhury A Comparison of OWL and XML Based Approaches to Representing Cognitive Radio Functions, Wireless Innovation Forum Conference on Wireless Communications Technologies and Software Defined Radio, 2016, 174-181 V. Roman, J.J. Moskal, M.M. Kokar, R.P. Guesman, R.B. Normoyle, D.H. Scheidt Reusability of Knowledge for Deriving Latent Situational Information in EW Scenarios, Military Communications Conference, IEEE, 2016 L. Lechowicz, M.M. Kokar Cognitive Radio: Interoperability Through Waveform Reconfiguration, Artech House, Norwood, MA, 2015 Y. Chen, M.M. Kokar, J. Moskal, D. Suresh Mapping Spectrum Consumption Models to Cognitive Radio Ontology for Automatic Inference, Wireless Innovation Forum Conference on Wireless Communications Technologies and Software Defined Radio, Wireless Innovation Forum, 2015, *Best paper award D. Suresh, M.M. Kokar, J. Moskal, Y. Chen Updating CRO to CRO2, In Wireless Innovation Forum Conference on Wireless Communications Technologies and Software Defined Radio, Wireless Innovation Forum, 2015 B.E. Ulicny, J.J. Moskal, M.M. Kokar, K. Abe, J. Smith Inference and Ontologies, In A. Kott, C. Wang, and R. F. Erbacher, editors, Cyber Defense and Situational Awareness, Springer, 2014, 167-199 L. Grande, M. Sherman, H. Zhu, M.M. Kokar, J. Stine IEEE DySPAN 1900.5 Efforts To Support Spectrum Access Standardization, 2013 IEEE Military Communications Conference (MILC OM 2013), San Diego, 2013 B. Ulicny, J. Moskal, M.M. Kokar Situational Awareness from Social Media, Proceedings of the Eighth Conference on Semantic Technologies for Intelligence, Defense, and Security, Fairfax, VA, 2013, 87-92 S. Li, M.M. Kokar Flexible Adaptation in Cognitive Radios, Springer, Springer New York Heidelberg Dordrecht London, 2012

SELECTED RESEARCH PROJECTS Converged Collaborative Elements for RF Task Operations Principal Investigator, DARPA

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FACULTY MIRIAM LEESER Professor and Interim Chair, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Cambridge University, 1988 ece.neu.edu/people/leeser-miriam Accelerators for compute intensive applications: reconfigurable hardware and graphics processing units (GPUs); applications including biocomputing, machine learning, softwaredefined radio; uses and implementations of computer arithmetic

SELECTED PUBLICATIONS M. Sabbagh, M. Uecker, A.J. Powell, M. Leeser, M.H. Moghari Cardiac MRI Compressed Sensing Image Reconstruction with a Graphics Processing Unit, International Symposium on Medical Information and Communication Technology (ISMICT), 2016 R. Subramanian, B. Drozdenko, E. Doyle, R. Ahmed, M. Leeser, K.R. Chowdhury High-level System Design of IEEE 802.11b StandardCompliant Link Layer for MATLAB-Based SDR, IEEE Access, 4, 2016, 1494-1509 B. Drozdenko, M. Zimmermann, T. Dao, K. Chowdhury, M. Leeser Modeling Considerations for the Hardware-Software Co-Design of Flexible Modern Wireless Transceivers, 22nd International Conference on Field Programmable Logic and Applications (FPL), 2016 X. Fang, M. Leeser Open-Source Variable-Precision Floating-Point Library for Major Commercial FPGAs, ACM Transactions on Reconfigurable Technology Systems, 9(3), 2016 N. Moore, M. Leeser, L. Smith King Kernel Specialization Provides Adaptable GPU Code for Particle Image Velocimetry, IEEE Transactions on Parallel and Distributed Systems, 26(4), 2015, 1049-1058 M. Leeser, S. Mukherjee, J. Brock Fast Reconstruction of 3D Volumes from 2D CT Projection Datawith GPUs, Biomed Central Research Notes, 7(528), 2014 X. Wang, M. Leeser VFloat: A Variable Precision Fixed and Floating-Point Library for Reconfigurable Hardware, ACM Transactions on Reconfigurable Technology and Systems, 3(3), 2010, 1-34 X. Wang, M. Leeser K-means Clustering for Multispectral Images Using Floating point Divide, IEEE Symposium on Field-programmable Custom Computing Machines (FCCM), 2007, 151-162

SELECTED RESEARCH PROJECTS Ensuring Reliability and Portability of Scientific Software for Heterogeneous Architectures Co-Principal Investigator, National Science Foundation Hardware/Software Implementations of WiFi and LTE Communications Principal Investigator, Mathworks

BRAD LEHMAN Professor, Electrical and Computer Engineering

PhD, Georgia Institute of Technology, 1992 ece.neu.edu/people/lehman-bradley Power electronics; dc-dc converters; pulse width modulation; motion control; electric motor drives; analog circuits; control theory; differential equations; time delays; nonlinear systems and control; industrial control IEEE Modeling and Control Technical Achievement Award of the IEEE Power Electronics Society; IEEE Standards Medallion

SELECTED PUBLICATIONS W. Huang, B. Lehman Analysis and Verification of Inductor Coupling Effect in Interleaved Multiphase dc-dc Converters, IEEE Transactions on Power Electronics, 31(7), 2016, 5004-5017 W. Huang, B. Lehman A Compact Coupled Inductor for Interleaved Multiphase DC-DC Converters, IEEE Transactions on Power Electronics, 31(10), 2016, 6770-6775 D.O. Neacsu, Y. Zheng, B. Lehman An SD Card Flash-Memory-Based Implementation of a Multioptimal Three-Phase PWM Generator, IEEE Transactions on Power Electronics, 31(1), 2016, 39-51 S. Chen, P. Li, R. Ball, J.-F. de Palma, B. Lehman Analysis of a Switched Impedance Transformer-Type Nonsuperconducting Fault Current Limiter, IEEE Transactions on Power Electronics, 30(4), 2015, 1925-1936 J. Zhang, B.M. Hodge, S. Lu, H.F. Hamann, B. Lehman, J. Simmons, E. Campos, V. Banunarayanan, J. Black, J. Tedesco Basline and Target Values for Regional and Point PV Power Forecasts: Toward Improved Solar Forecasting, Solar Energy, 122, 2015, 804-819 G. Spagnuolo, G. Petrone, B. Lehman, C.A. Ramos Paja, Y. Zhao, M.L. Orozco Gutierrez Control of Photovoltaic Arrays: Dynamical Reconfiguration for Fighting Mismatched Conditions and Meeting Load Requests, IEEE Industrial Electronics Magazine, 9(1), 2015, 62-76 Y. Zhao, R. Ball, J. Mosesian, J.F. de Palma, B. Lehman Graph-Based Semi-Supervised Learning for Fault Detection and Classification in Solar Photovoltaic Arrays, IEEE Transactions on Power Electronics, 30(5), 2015, 2848-2858

SELECTED RESEARCH PROJECTS A Multi-Model Machine Learning-Solar Forecasting Technology Principal Investigator, United States Department of Energy Advanced 100W Solar Blanket for Squad Power Principal Investigator, Department of Defense

16

FACULTY HANOCH LEV-ARI Professor, Electrical and Computer Engineering

PhD, Stanford University, 1984 ece.neu.edu/people/lev-ari-hanoch Adaptive filtering; statistical signal processing; spectrum analysis and estimation; networked dynamic state estimation Fellow, Institute of Electrical and Electronics Engineers

SELECTED PUBLICATIONS P. Hajiyani, H. Lev-Ari, A.M. Stankovic Mitigating Bad Data and Measurement Delay in Nonlinear Dynamic State Estimation, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, 2016 P. Ren, H. Lev-Ari, A. Abur Robust Continuous-Discrete Kalman Filter for Estimating Machine States with Model Uncertainties, 19th Power Systems Computation Conference (PSCC), Genoa, Italy, 2016 P. Argyropoulos, H. Lev-Ari, A. Abur Subband Transmission Line Modeling for Robust Power System Transient Simulation, IEEE PES General Meeting, Denver, 2015 P.E. Argyropoulos, H. Lev-Ari Wavelet Customization for Improved Fault Location Quality in Power Networks, IEEE Transactions on Power Delivery, 30(5), 2015, 2215-2223 B. Yan, H. Lev-Ari, A.M. Stankovic Robust Continuous-Discrete Kalman Filter for Time-Stamped Delay Mitigation in Networked Estimation and Control Systems, 46th North American Power Symposium, Pullman, 2014 L. Peng, H. Lev-Ari Estimating the Autocorrelation Function of an Arbitrarily TimeVariant System Response, IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, May 2013, 6249-6253

SELECTED RESEARCH PROJECTS Center for Ultra-Wide-Area Resilient Electric Energy Transmission Networks (CURENT) Co-Principal Investigator, National Science Foundation Advanced Cyber-Physical Models for Estimation and Control in Naval Power and Energy Systems Principal Investigator, Office of Naval Research

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XUE LIN Assistant Professor, Electrical and Computer Engineering

PhD, University of Southern California, 2016 ece.neu.edu/people/lin-xue Near-threshold computer for low-power embedded systems; high-performance and mobile cloud computing systems; machine learning and computing in (embedded) cyber-physical systems

SELECTED PUBLICATIONS Q. Xie, X. Lin, Y. Wang, S. Chen Performance Comparisons Between 7nm Finfet and Conventional Bulk CMOS Standard Cell Libraries, IEEE Transaction Circuits and Systems II, 62(8), 2015, 761-765 Y. Wang, X. Lin, M. Pedram A Near-Optimal Model-Based Control Algorithm for Households Equipped with Residential Photovoltaic Power Generation and Energy Storage Systems, IEEE Transaction Sustainable Energy, 2015, 1-10 X. Lin, Y. Wang, Q. Xie, M. Pedram Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment, IEEE Transaction Services Computing, 8(2), 2014, 175-186 Y. Wang, X. Lin, M. Pedram A Stackelberg Game-Based Optimization Framework of the Smart Grid with Distributed PV Power Generations and Data Centers, IEEE Transaction Energy Conversion, 29(4), 2014, 978-987 Y. Wang, X. Lin, Y. Kim, Q. Xie, M. Pedram, N. Chang Single-Source, Single Destination Charge Migration in Hybrid Electrical Energy Storage Systems, IEEE Transaction VLSI Systems, 22(12), 2014, 2752-2765 X. Lin, Y. Wang, M. Pedram, J. Kim, N. Chang Designing Fault-Tolerant Photovoltaic Systems, IEEE Design & Test (MDAT), 31(3), 2014, 76-84

SELECTED RESEARCH PROJECTS A Framework of Simultaneous Acceleration and Storage Reduction on Deep Neural Networks Using Structured Matrices Principal Investigator, National Science Foundation

FACULTY YONGMIN LIU Assistant Professor, joint faculty appointment in Mechanical and Industrial Engineering and Electrical and Computer Engineering

PhD, University of California, Berkeley, 2009 mie.neu.edu/people/liu-yongmin Nano optics; nanoscale materials and engineering; nano devices; plasmonics; metamaterials; applied physics NSF CAREER Award, Office of Naval Research Young Investigator Award; SPIE Rising Researcher; 3M Non-Tenured Faculty Award

SELECTED PUBLICATIONS Z.J. Wang, L.Q. Jing, K. Yao, Y.H. Yang, B. Zheng, C.M. Soukoulis, H.S. Chen, Y.M. Liu Origami-Based Reconfigurable Metamaterials for Tunable Chirality, Advanced Materials, 2017 K. Yao, Y.M. Liu Controlling Electric and Magnetic Resonances for Ultracompact Nanoantennas with Tunable Directionality, ACS Photonics, 3, 2016, 953-963 Z.J. Wang, K. Yao, M. Chen, H. Chen, Y.M. Liu Manipulating Smith-Purcell Emission with Babinet Metasurfaces, Physical Review Letters, 117(15), 2016, 157401 W.L. Gao, F.Z. Fang, Y.M. Liu, S. Zhang Chiral Surface Waves Supported by Biaxial Hyperbolic Metamaterials, Light: Science and Applications, 2015, e238 C.L. Zhao, Y.M. Liu, Y.H. Zhao, N. Fang, T.J. Huang Reconfigurable Plasmofluidic Lens, Nature Communications, 4(2350), 2013, 1-8 Y.M. Liu, S. Palomba, Y. Park, T. Zentgraf, X.B. Yin, X. Zhang Compact Magnetic Antennas for Directional Excitation of Surface Plasmons, Nano Letters, 12(9), 2012, 4853-4858 Y.M. Liu, X. Zhang Metamaterials: A New Frontier of Science and Technology, Chemical Society Reviews, 40, 2011, 2494-2507 T. Zentgraf, Y.M. Liu, M.H. Mikkelsen, J. Valentine, X. Zhang Plasmonic Luneburg and Eaton Lenses, Nature Nanotechnology, 6, 2011, 151-155 J. Yao, Z. Liu, Y.M. Liu, Y. Wang, C. Sun, G. Bartal, et al. Optical Negative Refraction in Bulk Metamaterials of Nanowires, Science, 321(5891), 2008, 930

SELECTED RESEARCH PROJECTS CAREER: Spin Plasmonics for Ultrafast All-Optical Manipulation of Magnetization in Hybrid Metal-Ferromagnet Structures Principal Investigator, National Science Foundation Reconfigurable Metamaterials for Beam Steering, Imaging and Sensing at Infrared Frequencies Principal Investigator, Office of Naval Research

FABRIZIO LOMBARDI ITC Endowed Professor, Electrical and Computer Engineering

PhD, University of London, 1982 ece.neu.edu/people/lombardi-fabrizio Fault-tolerant computing; VLSI CAD; testing, configurable computing, distributed systems Fellow, Institute of Electrical and Electronics Engineers; Søren Buus Outstanding Research Award, College of Engineering

SELECTED PUBLICATIONS H. Jiang, C. Shen, J. Han, F. Lombardi, P. Jonker Adaptive Filter Designs Using Stochastic Circuits, IEEE International Symposium on Very-Large-Scale Integration, Pittsburgh, 2016, 122-127 K. Namba, F. Lombardi A Coding Scheme for Write Time Improvement of Phase Change Memory (PCM) Systems, IEEE Transactions on Multi-Scale Computing Systems, 2(4), 2016, 291-296 H.A.F. Almurib, F. Lombardi, T. Nandha Kumar Current-Based Testing, Modeling and Monitoring for Operational Deterioration of a Memristor-Based LUT, Journal of Electronic Testing Theory and Applications, 32(5), 2016, 587-599 W. Liu, L. Chen, W. Wang, F. Lombardi, M. O’Neill Design and Analysis of Inexact Floating-Point Adders, IEEE Transactions on Computers, 65(1), 2016, 308-314 S. Zare, S. Somu, C. Vittoria, F. Lombardi Field Sensors and Tunable Devices Using Magnetoelectric Hexaferrite on Silicon Substrates, IEEE Transactions on Electron Devices, 63(8), 2016, 3229-3235 K. Namba, F. Lombardi High-Speed Parallel Decodable Single-Error Correcting (SEC) Codes, IEEE Transactions on Device and Material Reliability, 16(1), 2016, 30-37 L. Chen, J. Han, W. Liu, F. Lombardi On the Design of Approximate Restoring Dividers for ErrorTolerant Applications, IEEE Transactions on Computers, 65(8), 2016, 2522-2533 X. Cui, D.Wenwen, F. Lombardi, W. Liu A Parallel Decimal Multiplier Using Hybrid Binary Coded Decimal (BCD) Codes, Proceedings of the IEEE International Symposium on Arithmetics, San Jose, 2016, 150-155 P. Zhu, J. Han, Y. Guo, F. Lombardi Reliability and Criticality Analysis of Communication Networks by Stochastic Computation, IEEE Network Magazine, 30(6), 2016, 70-76 K. Namba, F. Lombardi Single Multiscale-Symbol Error Correction Codes for Multiscale Storage Systems, IEEE Transactions on Computers, 65(6), 2016, 2005-2009

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FACULTY EDWIN MARENGO Associate Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Northeastern University, 1997 ece.neu.edu/people/marengo-fuentes-edwin Theoretical and applied electromagnetics, theoretical and applied optics, scattering theory, wave inverse problems, noniterative inverse scattering, physics-based signal processing and imaging, change detection theory and applications, compressive sensing, electromagnetic information theory, analysis and design of optical and quantum holographic detectors National Science Foundation CAREER Award

SELECTED PUBLICATIONS J. Tu, E.A. Marengo Generalized Likelihood Ratio Test Change Detection with Optical Theorem Constraint, Journal of the Optical Society of America A, 33, 2016, 2225-2236 E.A. Marengo, J. Tu Generalized Optical Theorem in the Time Domain, Progress in Electromagnetics Research B, 65, 2016, 1-18 E.A. Marengo, J. Tu Optical Theorem Detectors for Active Scatterers, Waves in Random and Complex Media, 25, 2015, 682-707 E.A. Marengo Nonuniqueness of Optical Theorem Detectors, Journal of the Optical Society of America A, 32, 2015, 1936-1942 E.A. Marengo Inverse Diffraction Theory and Computation of Minimum Source Regions of Far Fields, Mathematical Problems in Engineering, 513953, 2014, 1-18 E.A. Marengo, J. Tu Optical Theorem for Transmission Lines, Progress in Electromagnetics Research B, 61, 2014, 253-268 E.A. Marengo A New Theory of the Generalized Optical Theorem in Anisotropic Media, IEEE Transactions on Antennas and Propagation, 61, 2013, 2164-2179

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JOSE MARTINEZ LORENZO Assistant Professor, Mechanical and Industrial Engineering; jointly appointed, Electrical and Computer Engineering

PhD, University of Vigo, 2005 ece.neu.edu/people/martinez-lorenzo-jose-angel Devices, circuits and sensing; antenna analysis, modeling, design, and optimization; subsurface scattering analysis; computational methods of electromagnetics; novel radar system specification and design; explosives detection

SELECTED PUBLICATIONS I.A. Osaretin, M.W. Shields, J.A. Martinez-Lorenzo, W.J. Blackwell A Compact 118-GHz Radiometer Antenna for the Micro-sized Microwave Atmospheric Satellite, IEEE Antennas & Wireless Propagation Letters, 13, 2014, 1533-1536 Y. Rodriguez-Vaqueiro, C. Rappaport, J.A. Martinez-Lorenzo, et al. Fourier-Based Imaging for Multistatic Radar Systems, IEEE Transactions on Microwave Theory and Techniques, 62(8), 2014, 1798-1810 Y. Alvarez, J.A. Martinez-Lorenzo, C. Rappaport, et al. On the Combination of SAR and Model Based Techniques for High-Resolution Real-Time Two-Dimensional Reconstruction, IEEE Transactions on Antennas and Propagation, 62(10), 2014, 5180-5189 Y. Rodriguez-Vaqueiro, J.A. Martinez-Lorenzo On the use of Passive Reflecting Surfaces and Compressive Sensing Techniques for Detecting Security Threats at Standoff Distances, International Journal on Antennas and Propagation, 248351, 2014, 1-8

SELECTED RESEARCH PROJECTS Advanced Algorithm Development for Multiband GPR Radar Detection of Buried Mines Co-Principal Investigator, US Army Night Vision and Electronic Sensors Directorate Advanced Imaging and Detection of Security Threats using Compressive Sensing Principal Investigator, Department of Homeland Security Advanced Mechanical-Electromagnetic Applications for next Generation Environmental Monitoring Principal Investigator, National Oceanic and Atmospheric Administration Multi-Modality Electromagnetic Detection and Localization of Implanted Explosives Using Ultra low Field MRI and Nuclear Quadrupole Resonance Co-Principal Investigator, Defense Advanced Research Projects Agency

FACULTY NICOL MCGRUER

WALEED MELEIS

Professor, Electrical and Computer Engineering; affiliated faculty: Mechanical and Industrial Engineering, Bioengineering

Associate Professor and Associate Chair, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Michigan State University, 1983 ece.neu.edu/people/mcgruer-nicol

PhD, University of Michigan, 1996 ece.neu.edu/people/meleis-waleed

MEMS, NEMS, RF MEMS; nanotechnology; micro/nanofabrication; microsystems; microrelay; nanoswitch; microspectrometer; microfluidics; organic FETs, organic solar cells Søren Buus Outstanding Research Award, College of Engineering

SELECTED PUBLICATIONS S.D. Berger, N.E. McGruer, G.G. Adams Simulation of Dielectrophoretic Assembly of Carbon Nanotubes Using 3D Finite Element Analysis, Nanotechnology, 26(15), 2015, e155602 A. Basu, R.P. Hennessy, G.G. Adams, N.E. McGruer Hot Switching Damage Mechanisms in MEMS Contacts— Evidence and Understanding, Journal of Micromechanics and Microengineering, 24, 2014, e105004 Y.-C. Wu, N. McGruer, G.G. Adams Adhesive Slip Process Between a Carbon Nanotube and a Substrate, Journal of Physics D: Applied Physics, 46, 2013, e175305 R.P. Hennessy, A. Basu, G.G. Adams, N. McGruer Hot-Switched Lifetime and Damage Characteristics of MEMS Switch Contacts, Journal of Micromechanics and Microengineering, 23(5), 2013, e055003 H. Pan, Y.-C. Wu, G.G. Adams, G.P. Miller, N. McGruer Interfacial Shear Stress Between Single-Walled Carbon Nanotubes and Gold Surfaces With and Without an Alkanethiol Monolayer, Journal of Colloid and Interface Science, 407, 2013, 133-139 C. Pramanik, Y. Li, A. Singh, W. Lin, J.L. Hodgson, J.B. Briggs, S. Ellis, P. Müller, N.E. McGruer, G.P. Miller Water Soluble Pentacene, Journal of Materials Chemistry C, 1, 2013, 2193-2201 P. Ryan, Y.-C. Wu, S. Somu, G. Adams, N. McGruer Single Walled Carbon Nanotube Electromechanical Switching Behavior with Shoulder Slip, Journal of Micromechanics and Microengineering, 21, 2011, e045028

SELECTED RESEARCH PROJECTS PLASMID (Plasmonic Microelectromechanical Infrared Digitizer), Zero-Power Sensor Co-Principal Investigator, Defense Advanced Research Projects Agency Zero Power Sensors (ZePS), RF Wake-up Co-Principal Investigator, Defense Advanced Research Projects Agency

Combinatorial optimization; algorithm design and analysis; scheduling; large-scale machine learning; parallel computing COE Fostering Engineering Innovation in Education Award; Black Engineering Student Society Professor Appreciation Award; Invited to represent Northeastern at the National Academy of Engineering’s Frontiers of Engineering Education Symposium; College of Engineering Outstanding Teacher Award; Martin W. Essigmann Outstanding Teaching Award, College of Engineering; Eta Kappa Nu Professor of the Year Award; Center for Innovative Course Design Teaching Award, EdTech

SELECTED PUBLICATIONS W. Li, F. Zhou, W. Meleis, K. Chowdhury Dynamic Generalization Kanerva Coding in Reinforcement Learning for TCP Congestion Control Design, Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems, Sao Paolo, Brazil, 2017 J. Radford, A. Pilny, A. Reichelmann, B. Keegan, B. Welles, J. Hoye, K. Ognyanova, W. Meleis, D. Lazer Volunteer Science: An Online Laboratory for Experiments in Social Psychology, Social Psychology Quarterly, 79(4), 2016 L. Hayward, S. Ventura, M. Mahanna, W. Meleis Inter-Professional Collaboration between Physical Therapy, Speech Language Pathology and Engineering Faculty and Students to Address Global Pediatric Rehabilitation Needs: A Case Report, Journal of Physical Therapy Education, 30(4), 2016 C. Wu, W. Li, W. Meleis, Rough Sets-Based Prototype Optimization in KanervaBased Function Approximation, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2015 J. Radford, B. Keegan, J. Hoye, C. Karbeyaz, K. Ognyanova, B. Foucault Welles, W. Meleis, D. Lazer Conducting Massively Open Online Social Experiments with Volunteer Science, International AAAII Conference on Web and Social Media, 2015 L. Sallaway, S. Magee, J. Shi, F. Quivira, K. Tgavalekos, D. Brooks, S, Muftu, W. Meleis, R. Moore, D. Kopans, K-T, Wan Detecting Solid Masses in Phantom Breast Using Mechanical Indentation, Experimental Mechanics, 54(6), 2014, 935-942 J. Tai, J. Zhang, J. Li, W. Meleis, N. Mi ArA: Adaptive Resource Allocation for Clouds under Burst Workloads, Proceedings of the IEEE International Performance Computing and Communications Conference, Orlando, Florida, 2011, 1-8

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FACULTY TOMMASO MELODIA

NINGFANG MI

Associate Professor, Electrical and Computer Engineering

Associate Professor, Electrical and Computer Engineering

PhD, Georgia Institute of Technology, 2007 ece.neu.edu/people/melodia-tommaso

PhD, College of William and Mary, 2009 ece.neu.edu/people/mi-ningfang

Modeling, optimization, and experimental evaluation of wireless networked systems; networked implantable medical systems; multimedia sensor networks; secure tactical cognitive radio networks; underwater networks; mobile cloud computing

Capacity planning; MapReduce/Hadoop scheduling; cloud computing; resource management; performance evaluation; workload characterization; simulation; virtualization

National Science Foundation CAREER Award

National Science Foundation CAREER Award; IBM Faculty Award; Air Force Office of Scientific Research Young Investigator Award

SELECTED PUBLICATIONS Z. Guan, T. Melodia CU-LTE: Spectrally-Efficient and Fair Coexistence Between LTE and Wi-Fi in Unlicensed Bands, Proceedings of AIEEE Conference on Computer Communications (INFOCOM), San Francisco, CA, 2016 G.E. Santagati, T. Melodia U-Wear: Software-Defined Ultrasonic Networking for Wearable Devices, Proceedings of ACM Conference on Mobile Systems, Services and Applications (MOBISYS), Florence, Italy, May 2015, 1-16 Z. Guan, G.E. Santagati, T. Melodia Ultrasonic Intra-Body Networking: Interference Modeling, Stochastic Channel Access and Rate Control, Proceedings of the IEEE Conference on Computer Communications, Hong Kong, 2015, 1-9 S. Pudlewski, N. Cen, Z. Guan, T. Melodia Video Transmission Over Lossy Wireless Networks: A CrossLayer Perspective, IEEE Journal of Selected Topics in Signal Processing, 9(1), 2015, 6-21 E. Demirors, G. Sklivanitis, G.E. Santagati, T. Melodia, et al. Design of a Software-Defined Underwater Acoustic Modem with Real-Time Physical Layer Adaptation Capabilities, Proceedings of the International Conference on Underwater Networks and Systems, 2014, 1-8

SELECTED RESEARCH PROJECTS PAWR: Platforms for Advanced Wireless Research Director of Research, National Science Foundation NeTS: Small: Beyond Separate-then-centralize: A Cellular Operating System to Optimize Software-defined 5G Wireless Networks Principal Investigator, National Science Foundation CAREER: Towards Ultrasonic Networking for Implantable Biomedical Devices Principal Investigator, National Science Foundation Small:Towards Real-time Video Streaming in the Internet of Underwater Things Principal Investigator, National Science Foundation Toward Maximal Spectral-Efficiency Networking Principal Investigator, Air Force Research Laboratory

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SELECTED PUBLICATIONS H. Gao, Z. Yang, J. Bhimani, T. Wang, J. Wang, N. Mi, B. Sheng AutoPath: Harnessing Parallel Execution Paths for Efficient Resource Allocation in Multi-Stage Big Data Frameworks, The 26th International Conference on Computer Communications and Networks, Vancouver, Canada, 2017 J. Bhimani, N. Mi, M. Leeser, Z. Yang FiM: Performance Prediction for Parallel Computation in Iterative Data Processing Applications, IEEE International Conference on Cloud Computing, Honolulu, Hawaii, 2017 Y. Yao, J. Wang, B. Sheng, C.C. Tan, N. Mi Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters, IEEE Transactions on Cloud Computing, 5(2), 2017, 344-357 Z. Yang, M. Awasthi, M. Ghosh, N. Mi A Fresh Perspective on Total Cost of Ownership Models for Flash Storage in Datacenters, 8th IEEE International Conference on Cloud Computing Technology and Science, Luxembourg, 2016 J. Tai, D. Liu, Z. Yang, X. Zhu, J. Lo, N. Mi Improving Flash Resource Utilization at Minimal Management Cost in Virtualized Flash-Based Storage Systems, IEEE Transactions on Cloud Computing (TCC), 1, 2015, 1-14 Y. Yao, J. Tai, B. Sheng, N. Mi LsPS: A Job Size-Based Scheduler for Efficient Assignments in Hadoop, IEEE Transactions on Cloud Computing (TCC), 99, 2014, 1-14

SELECTED RESEARCH PROJECTS AFOSR YIP: Creating an Integrated Management Layer to Administer Heterogeneous Resources in Dynamic Workflow Clusters Principal Investigator, Air Force Office of Scientific Research CAREER: Capacity Planning Methodologies for Large Clusters with Heterogeneous Architectures and Diverse Applications Principal Investigator, National Science Foundation

FACULTY HOSSEIN MOSALLAEI Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, University of California, Los Angeles, 2001 ece.neu.edu/people/mosallaei-hossein Electromagnetics and optics, quantum systems, nanoscale materials and metamaterials, nanoantennas, THz-IR Devices, multiscale computation and mathematical-numerical models

SELECTED PUBLICATIONS

MARVIN ONABAJO Assistant Professor, Electrical and Computer Engineering

PhD, Texas A&M University, 2011 ece.neu.edu/people/onabajo-marvin Design of analog, radio frequency, and mixed-signal integrated circuits; built-in test and calibration techniques for systems-on-achip; on-chip temperature sensors for thermal monitoring and built-in testing National Science Foundation CAREER Award; Martin Essigman Outstanding Teaching Award, College of Engineering

S. Jafar-Zanjani, M.M. Salary, H. Mosallaei Metafabrics for Thermoregulation and Energy-Harvesting Applications, ACS Photonics, 4(4), 2017, 915-927 A. Forouzmand, H. Mosallaei Real-Time Controllable and Multi-Functional Metasurfaces Utilizing Indium Tin Oxide Materials: A Phased Array Prospective, IEEE Transactions on Nanotechnology, 16(2), 2017, 296-306 A. Forouzmand, H. Mosallaei Shared Aperture Antenna for Simultaneous Two-Dimensional Beam Steering at Near-Infrared and Visible, Journal of Nanophotonics, 11(1), 2017, 010501 M.M. Salary, A. Forouzmand, H. Mosallaei Model Order Reduction of Large-Scale Metasurfaces Using a Hierarchical Dipole Approximation, ACS Photonics, 4(1), 2016, 63-75 J. Cheng, H. Mosallaei Truly Achromatic Optical Metasurfaces: A Filter Circuit Theory Based-Design, JOSA B, 32(10), 2015, 2115-2121 J. Cheng, D. Ansari, H. Mosallaei Wave Manipulation with Designer Dielectric Metasurfaces, Optics Lett, 39(21), 2014, 6285-6288

SELECTED PUBLICATIONS

SELECTED RESEARCH PROJECTS

SELECTED RESEARCH PROJECTS

Designer Solids Nanoantennas and Material Principal Investigator, Army Research Office MURI, Multiscale Mathematical Modeling and Design Realization of Novel 2D Functional Materials Co-Principal Investigator, Army Research Office Nanoantennas for Engineering Waves on the Surface Principal Investigator, Air Force Office of Scientific Research

CAREER: Low-Power Transceiver Design Methods for Wireless Medical Monitoring Principal Investigator, National Science Foundation Integrated Self-Calibrated Analog Front-end for Biopotential and Bioimpedance Measurements Principal Investigator, National Science Foundation

C.-H. Chang, S.A. Zahari, K. Wang, L. Xu, I. Farah, M. Onabajo An Analog Front-End Chip with Self-Calibrated Input Impedance for Monitoring of Biosignals via Dry ElectrodeSkin Interfaces, IEEE Transactions on Circuits and Systems I: Regular Papers, 2017 L. Xu, C.-H. Chang, M. Onabajo A 0.77mW 2.4GHz RF Front-end with -4.5dBm In-Band IIP3 Through Inherent Filtering, IEEE Microwave and Wireless Components Letters, 26(5), 2016, 352-354 H. Chauhan, V. Kvartenko, R. Coxe, T. Weber, M. Onabajo An Optimization Platform for Digital Predistortion of Power Amplifiers, IEEE Design & Test, 33(2), 2016, 49-58 C.-J. Park, M. Onabajo, H.M. Geddada, A.I. Karsilayan, J. Silva-Martinez Efficient Broadband Current-Mode Adder-Quantizer Design for Continuous-Time Sigma-Delta Modulators, IEEE Transactions on Very Large Scale Integration Systems, 23(9), 2015, 1920-1930 H. Chauhan, Y. Choi, M. Onabajo, I. Jung, Y.-B. Kim Accurate and Efficient On-Chip Spectral Analysis for Built-In Testing and Calibration Approaches, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 22(3), 2014, 497-506

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FACULTY SARAH OSTADABBAS Assistant Professor, Electrical and Computer Engineering

PhD, University of Texas at Dallas, 2014 ece.neu.edu/people/ostadabbas-sarah Machine learning/pattern recognition; computer vision, affective computing, human-machine interaction

SELECTED PUBLICATIONS

TASKIN PADIR Associate Professor, Electrical and Computer Engineering; affiliated faculty Mechanical and Industrial Engineering

PhD, Purdue University, 2004 ece.neu.edu/people/padir-taskin Humanoid robots, dexterous manipulation, model-based robot design, humansupervised robot autonomy, medical cyber- physical systems

B. Rezaei, X. Huang, J. Yee, S. Ostadabbas Long-Term Non-Contact Tracking of Caged Rodents, IEEE International Conference on Acoustics, Speech and Signal Processing, 2017 A. Farnoosh, M. Nourani, S. Ostadabbas Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing, Machine Learning in Health Care, 2017 B. Rezaei, J. Lowe, J. Yee, S. Porges, S. Ostadabbas Non-Contact Automatic Respiration Monitoring in Restrained Rodents, IEEE International Conference of the Engineering in Medicine and Biology Society, 2016 S. Ostadabbas, S.N. Housley, N. Sebkhi, K. Richards, D. Wu, Z. Zhang, M.G. Rodriguez, L. Warthen, C. Yarbrough, S. Balagaje, A.J. Butler, M. Ghovanloo Tongue-Controlled Robotic Rehabilitation: A Feasibility Study in People with Stroke, Journal of Rehabilitation Research and Development (JRRD), 53(6), 2016, 989-1006 S. Ostadabbas, N. Sebkhi, M. Zhang, S. Rahim, L.J. Anderson, F. Lee, M. Ghovanloo A Vision-Based Respiration Monitoring System for Passive Airway Resistance Estimation, IEEE Transactions on Biomedical Engineering (TBME), 2016 S. Ostadabbas, M. Ghovanloo, A.J. Butler Developing A Tongue Controlled Exoskeleton for a Wrist Tracking Exercise: A Preliminary Study, Journal of Medical Devices (JMD), 9, 2015 S. Ostadabbas, M. Nourani, R. Yousefi, M. Pompeo A Knowledge-Based Modeling for Plantar Pressure Image Reconstruction, IEEE Transactions on Biomedical Engineering (TBME), 61(10), 2014, 2538-2549

Kalenian Award for Entrepreneurial Spirit, HEART: Humans Empowered with Assistive Robot Technologies; Romeo L. Moruzzi Young Faculty Award for Innovation in Undergraduate Education

SELECTED RESEARCH PROJECTS

Accessible Testing on Humanoid-Robot-R5 and Evaluation of NASA Administered (ATHENA) Space Robotics Challenge Principal Investigator, National Aeronautics and Space Administration Autonomy and Navigation for Advanced UUVs Principal Investigator, Massachusetts Seaport Economic Development Council Collaborative Research: Cooperative Control of Humanoid Robots for Remote Operations in Nuclear Environments Principal Investigator, Department of Energy LocATER: Localization and Accountability Technology for Emergency Responders Principal Investigator, National Science Foundation

Compressive Sensing for In-Shoe Pressure Monitoring Principal Investigator, Mathworks Microgrant Decoding Situational Empathy: A Graph Theoretic Approach Towards Introducing a Quantitative Empathy Measure Principal Investigator, Northeastern Tier 1 Grant

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SELECTED PUBLICATIONS D. Sinyukov, T. Padir CWave: High-Performance Single-Source Any-Angle Path Planning on a Grid, IEEE International Conference on Robotics and Automation, Singapore, 2017 V. Dimitrov, J. Vazquez, T. Padir LocATER: Localization and Accountability Technologies for Emergency Responders, IEEE International Symposium on Technologies for Homeland Security, Boston, MA, 2017 M. DeDonato, F. Polido, K. Knoedler, B.P.W. Babu, N. Banerjee, C.P. Bove, X. Cui, R. Du, P. Franklin, J.P. Graff, P. He, A. Jaeger, L. Li, D. Berenson, M.A. Gennert, S. Feng, C. Liu, X. Xinjilefu, J. Kim, C.G. Atkeson, X. Long, T. Padir Team WPI-CMU: Achieving Reliable Humanoid Behavior in the DARPA Robotics Challenge, J. Field Robotics, 34, 2017, 381-399 T. Padir, H. Yanco, R. Platt Towards Cooperative Control of Humanoid Robots for Handling High-Consequence Materials in Gloveboxes, Waste Management Symposia, Robotics & Remote Systems-Nuclear Environments: Hardware- Next Gen Systems Track, Phoenix, AZ, 2017 X. Long, M. Wonsick, V. Dimitrov, T. Padir Task-Oriented Planning Algorithm for Humanoid Robots Based on a Foot Repositionable Inverse Kinematics Engine, IEEE-RAS International Conference on Humanoid Robots (Humanoids), Cancun, Mexico, 2016

SELECTED RESEARCH PROJECTS

FACULTY CAREY RAPPAPORT COE Distinguished Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Massachusetts Institute of Technology, 1987 ece.neu.edu/people/rappaport-carey Bioelectromagnetics, microwave tissue imaging, electromagnetic breast cancer detection and treatment, cardiac ablation therapy, microwave assisted balloon angioplasty, catheter-based sensing. Antennas, electromagnetic computation, subsurface sensing and imaging, explosives detection, security system conceptualization and design Fellow and Distinguished Lecturer, Institute of Electrical and Electronics Engineers; Søren Buus Outstanding Research Award, College of Engineering

SELECTED PUBLICATIONS G. Ghazi, C. Rappaport, J.A. Martinez-Lorenzo Improved SAR Imaging Contour Extraction Using Smooth Sparsity-Driven Regularization, IEEE Antennas and Wireless Propagation Letters, 15(2), 2016, 266-269 B. Gonzalez-Valdes, Y. Alvarez, S. Mantzavinos, C.M. Rappaport, F. Las-Heras, J.A. Martinez-Lorenzo Improving Security Screening: A Comparison of Multistatic Radar Configurations for Human Body Imaging, IEEE Antennas and Propagation Magazine, 58(4), 2016, 35-47 B. Gonzalez-Valdes, Y. Alvarez, Y. Rodriguez-Vaqueiro, A. Arboleya-Arboleya, A. Garcia-Pino, C. Rappaport, F. Las-Hera, J.A. Martinez-Lorenzo Millimeter Wave Imaging Architecture for the On-the-Move Whole Body Imaging, IEEE Transactions on Antennas and Propagation, 64(6), 2016, 2328-2338 C. Rappaport, B. Gonzalez-Valdes, Multistatic Nearfield Imaging Radar for Portal Security Systems Using a High Gain Toroidal Reflector Antenna, European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal, 2015, *best paper award Y. Alvarez, Y. Rodriguez-Vaqueiro, B. Gonzalez-Valdes, C. Rappaport, F. Las-Heras, J.A. Martinez-Lorenzo Three-Dimensional Compressed Sensing-Based MillimeterWave Imaging, IEEE Transactions on Antennas and Propagation, 63(12), 2015, 5868-5873

SELECTED RESEARCH PROJECTS Awareness and Localization of Explosive-Related Threats (ALERT) Co-Principal Investigator, Department of Homeland Security Improved Millimeter Wave Radar AIT Characterization of Concealed Low-Contrast Body-Bourne Threats Principal Investigator, Department of Homeland Security

PURNIMA RATILAL-MAKRIS Associate Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Massachusetts Institute of Technology, 2002 ece.neu.edu/people/ratilal-makris-purnima Remote sensing; underwater acoustics; acoustical oceanography; bioacoustics; ultrasound imaging; nonlinear scattering; wave propagation in random media; signal, image and array processing; statistical inference theory Presidential Early Career Award for Scientists and Engineers; Office of Naval Research Young Investigator Award

SELECTED PUBLICATIONS Z. Gong, A.D. Jain, D. Tran, P. Ratilal, et al. Ecosystem Scale Acoustic Sensing Reveals Humpback Whale Behavior Synchronous with Herring Spawning Processes and Re-Evaluation Finds No Effect of Sonar on Humpback Song Occurrence in the Gulf of Maine in Fall 2006, PLoS ONE, 9(10), 2014, e104733 D. Tran, W. Huang, A. Bohn, D. Wang, N. Makris, P. Ratilal, et al. Using a Coherent Hydrophone Array for Observing Sperm Whale Range, Classification, and Shallow-Water Dive Profiles, The Journal of the Acoustical Society of America, 135(6), 2014, 3352-3363 Z. Gong, D. Tran, P. Ratilal Comparing Passive Source Localization and Tracking Approaches With a Towed Horizontal Receiver Array in an Ocean Waveguide, The Journal of the Acoustical Society of America, 134, 2013, 3705-3720 Z. Gong, T. Chen, P. Ratilal, N. Makris Temporal Coherence of the Acoustic Field Forward Propagated Through a Continental Shelf with Random Internal Waves, The Journal of the Acoustical Society of America, 134, 2013, 3476-3485 D. Tran, M. Andrews, P. Ratilal Probability Distribution for Energy of Saturated Broadband Ocean Acoustic Transmission: Results from Gulf of Maine 2006 Experiment, Journal of the Acoustical Society of America, 132, 2012, 3659-2672 M. Andrews, Z. Gong, P. Ratilal Effects of Multiple Scattering, Attenuation and Dispersion in Waveguide Sensing of Fish, Journal of the Acoustical Society of America, 130, 2011, 1253-1271

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FACULTY MATTEO RINALDI Associate Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, University of Pennsylvania, 2010 ece.neu.edu/people/rinaldi-matteo Understanding and exploiting the fundamental properties of micro/ nanomechanical structures and advanced nanomaterials to engineer new classes of micro and nanoelectromechanical systems (M/NEMS) with unique and enabling features applied to the areas of chemical, physical and biological sensing and low power reconfigurable radio communication systems IEEE Sensors Council Early Career Award; National Science Foundation CAREER Award; Defense Advanced Research Projects Agency Young Faculty Award

SELECTED PUBLICATIONS C. Cassella, Y. Hui, Z. Qian, G. Hummel, M. Rinaldi Aluminum Nitride Cross-Sectional Lamé Mode Resonators, IEEE/ASME Journal of Microelectromechanical Systems, 25(2), 2016, 275-285 C. Cassella, G. Chen, Z. Qian, G. Hummel, M. Rinaldi Cross-sectional Lamé Mode Ladder Filters for UHF Wideband Applications, IEEE Electron Device Letters, 37, 2016, 681-683 Y. Hui, J. S. Gomez-Diaz, Z. Qian, A. Alu’, M. Rinaldi Plasmonic Piezoelectric Nanomechanical Resonator for Spectrally Selective Infrared Sensing, Nature Communications, 7, 2016, 11249 Z. Qian, F. Liu, Y. Hui, S. Kar, M. Rinaldi Graphene as a Massless Electrode for Ultra-High-Frequency Piezoelectric Nano Electro Mechanical Systems, Nano Letters, 15(7), 2015, 4599-4604

SELECTED RESEARCH PROJECTS Microelectromechanical Resonant Circulator (MIRC) Principal Investigator, DARPA MTO SPAR program Plasmonic Microelectromechanical Infrared Digitizer (PLASMID) Principal Investigator, DARPA MTO N-Zero program Zero Power Sensors (ZePS) Principal Investigator, DARPA MTO N-Zero program CAREER: Nano Electro Mechanical Resonant Sensing Platform for Chip Scale, High Resolution and Ultra-Fast Terahertz Spectroscopy and Imaging Principal Investigator, National Science Foundation Intrinsically Switchable and Programmable MEMS Filter Array Principal Investigator, Defense Advanced Research Projects Agency

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WILLIAM ROBERTSON Assistant Professor, Computer & Information Science; jointly appointed, Electrical and Computer Engineering

PhD, University of California, Santa Barbara, 2009 ece.neu.edu/people/robertson-wil Trustworthy computing architectures; web security; statistical machine learning for anomaly detection; malware analysis using adversarial program analysis; reverse engineering; intrusion detection

SELECTED PUBLICATIONS A. Ozcan, C. Mulliner, W. Robertson, E. Kirda, et al. BabelCrypt: The Universal Encryption Layer for Mobile Messaging Applications, Proceedings of the International Conference on Financial Cryptography and Data Security (FC), Isla Verde, PR, 2015, 1-15 M. Weissbacher, W. Robertson, E. Kirda, C. Kruegel, G. Vigna ZigZag: Automatically Hardening Web Applications Against Client-Side Validation Vulnerabilities, Proceedings of the USENIX Security Symposium, Washington DC, 2015, 737-752 C. Mulliner, W. Robertson, E. Kirda Hidden GEMs: Automated Discovery of Access Control Vulnerabilities in Graphical User Interfaces, Proceedings of the IEEE Symposium on Security and Privacy (Oakland), San Jose, CA, 2014, 1-14 M. Weissbacher, T. Lauinger, W. Robertson Why is CSP Failing? Trends and Challenges in CSP Adoption, Proceedings of the International Symposium on Research in Attacks, Intrusions, and Defenses (RAID), Gothenburg, 2014, 1-22 K. Onarlioglu, C. Mulliner, W. Robertson, E. Kirda PrivExec: Private Execution as an Operating System Service, Proceedings of the IEEE Symposium on Security and Privacy (Oakland), San Francisco, CA, 2013, 1-16

SELECTED RESEARCH PROJECTS Automated Inference of High-Level Program Structure Principal Investigator, Office of Naval Research Continuum: Finding Space and Time Vulnerabilities in Java Programs Principal Investigator, Defense Advanced Research Projects Agency DarkDroid: Exposing the Dark Side of Android Marketplaces Co-Principal Investigator, Defense Advanced Research Projects Agency Firmalice: Modeling and Identifying Malice in Firmware Co-Principal Investigator, Defense Advanced Research Projects Agency Multi-Disciplinary Preparation of Next Generation Information Assurance Practitioners Co-Principal Investigator, National Science Foundation

FACULTY MASOUD SALEHI

GUNAR SCHIRNER

Associate Professor, Electrical and Computer Engineering

Associate Professor, Electrical and Computer Engineering

PhD, Stanford University, 1979 ece.neu.edu/people/salehi-masoud

PhD, University of California, Irvine, 2008 ece.neu.edu/people/schirner-gunar

Error correcting codes; information theory; digital communications

SELECTED PUBLICATIONS M. Sadeghzadeh, M. Maleki, M. Salehi, H.R. Bahrami Large Scale Analysis of Physical Layer Security in Multi-User Wireless Networks, Proceedings of the IEEE International Conference on Communications (ICC), Paris, France, 2017 K. Firouzbakht, G. Noubir, M. Salehi Linearly Constrained Bimatrix Games in Wireless Communications, IEEE Transactions on Communications, 64, 2016, 429-440 K.-L. Huang, V.C. Gaudet, M. Salehi A Hybrid ARQ Scheme Using LDPC Codes with Stochastic Decoding, Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015, 1-4 N. Yang, M. Salehi A Family of Orthogonal Full Rate Differential Space Time Block Code Systems, Proceedings of the IEEE Military Communications Conference (MILCOM), Baltimore, MD, October 6-8, 2014, 569-574 J.G. Proakis, M. Salehi Fundamentals of Communication Systems, Second Edition Pearson, 2014 K. Firouzbakht, G. Noubir, M. Salehi On the Performance of Adaptive Packetized Wireless Communication Links Under Jamming, IEEE Transactions on Wireless Communications, 13(7), 2014, 3481-3495 K.-L. Huang, V. Gaudet, M. Salehi Output Decisions for Stochastic LDPC Decoders, Proceedings of the 48th Annual Conference on Information Sciences and Systems, Princeton, New Jersey, 2014, 1-5 K. Firouzbakht, G. Noubir, M. Salehi Packetized Wireless Communication Under Jamming, a Constrained Bimatrix Game, Proceedings of the IEEE Global Communications Conference (GLOBECOM), 2014, 740-745 K. Firouzbakht, G. Noubir, M. Salehi Quadratic Program Solution of Communication Links Under Jamming, Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014, 1011-1015 O. Vahabzadeh, M. Salehi A Novel Two-User Cooperation Scheme for Cooperative Communications Based on Protograph-Based Low-Density Parity-Check (LDPC) Codes, Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013, 1-4

Embedded computer systems; novel architectures for embedded vision; cyberphysical systems; system-level design and methodologies; hardware/software co-design

SELECTED PUBLICATIONS H. Tabkhi, G. Schirner A Joint SW/HW Approach for Reducing Register File Vulnerability, ACM Transactions on Architecture and Code Optimization (ACM TACO), 2015 N. Teimouri, H. Tabkhi, G. Schirner Revisiting Accelerator-Rich CMPs: Challenges and Solutions, Proceedings of the 52nd Annual Design Automation Conference (DAC), San Francisco, CA, 84, 2015 H. Tabkhi G. Schirner Application-Guided Power Gating Reducing Register File Static Power, IEEE Transactions on Very Large Scale Integration (TVLSI), 22(12), 2014, 2513-2526 J. Zhang, G. Schirner Automatic Specification Granularity Tuning for Design Space Exploration, Design Automation and Test in Europe (DATE), Dresden, Germany, 2014, 1-6 H. Tabkhi, R. Bushey, G. Schirner Function-Level Processor (FLP): A High Performance, Minimal Bandwidth, Low Power Architecture for Market-Oriented MPSoCs, IEEE Embedded Systems Letters, 2014 H. Tabkhi, R. Bushey, G. Schirner Function-Level Processor (FLP): Raising Efficiency by Operating at Function Granularity for Market-Oriented MPSoCs, IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), Zurich, Switzerland, 2014 G. Schirner, M. Gรถtz, A. Rettberg, M. Zanella, F.J. Rammig Embedded Systems: Design, Analysis and Verification, 403, Springer, 2013 G. Schirner, D. Erdogmus, K. Chowdhury, T. Padir The Future of Human-in-the-Loop Cyber-Physical Systems, IEEE Computer, 46(1), 2013, 36-45

SELECTED RESEARCH PROJECTS Collaborative Research: Holistic Design Methodology for Automated Implementation of Human-in-the-loop Cyber-physical Systems Principal Investigator, National Science Foundation Power Efficient Emerging Heterogeneous Platforms Principal Investigator, National Science Foundation

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FACULTY BAHRAM SHAFAI Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

Assistant Professor, Electrical and Computer Engineering

PhD, George Washington University, 1985 ece.neu.edu/people/shafai-bahram

PhD, University of Virginia, 2014 ece.neu.edu/people/shrivastava-aatmesh

Control Systems; digital signal processing; robust and optimal control Associate Editor, Editorial Board and Program Chair of ISIAC-WAC; Senior Member, Institute of Electrical and Electronics Engineers

SELECTED PUBLICATIONS B. Shafai, S. Nazari, A. Oghbaee Positive Unknown Input Observer Design for Positive Linear Systems, Proceedings 19th International Conference on System Theory, Control and Computing (ICSTCC), Cheile Gradistei, Romania, 2015, 360-365 B. Shafai, M. Saif Proportional-Integral Observer in Robust Control, Fault Detection, and Decentralized Control of Dynamic Systems, Control and Systems Engineering, Springer International Publishing, 2015, 13-43 S.M.M. Alavi, M. Saif, B. Shafai Accurate State Estimation in DC-DC Converters Using a Proportional Integral Observer (PIO), Proceedings of 23rd IEEE International Symposium on Industrial electronics (ISIE), 2014, 1304-1309 R. Ghadami, B. Shafai Distributed Observer-Based LQR Design for Multi-agent Systems, Proceeding of ISIAC, World Automation Congress, Kona, HI, 2014, 520-526 P. Brunet, B. Shafai Identification of Loudspeakers Using Fractional Derivatives, Journal of the Audio Engineering Society, 62(7/8), 2014, 505-515 B. Shafai, A Oghbaee Positive Observer Design for Fractional Order Systems, Proceeding of ISIAC, World Automation Congress, Kona, HI, 2014, 531-537 B. Shafai, A Oghbaee Positive Quadratic Stabilization of Uncertain Linear System, Proceeding of IEEE Multi-conference on Systems and Control, CAA, Antibes, France, 2014, 1412-1417 B. Shafai, A. Oghbaee, T. Tanaka Positive Stabilization with Maximum Stability Radius for Linear Time-Delay Systems, 2014 IEEE 53rd Annual Conference on Decision and Control, 2014, 1948-1953 R. Ghadami, B. Shafai Decomposition-Based Distributed Control for Continuous-Time Multi-Agent Systems, IEEE Transactions on Automatic Control, 58(1), 2013, 258-264

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AATMESH SHRIVASTAVA

Self-powered and ultra-low power circuits and system; energy-harvesting and powerfirst system/computer architecture; internetof-things; ultra-low power bio-medical and neural circuits and systems; exascale computing; high reliability system design

SELECTED RESEARCH PROJECTS N. Shafiee, S. Tewari, B. Calhoun, A. Shrivastava Infrastructure Circuits for Lifetime Improvement of Ultra-Low Power IoT Devices, IEEE Transactions on Circuits and Systems 1: Regular Papers, PP(99), 2017, 1-13 N.E. Roberts, K. Craig, A. Shrivastava, S. Wooters, Y. Shaksheer, D. Wentzloff, B.H. Calhoun A 236nW-56.5dBm Sensitivity Bluetooth Low-Energy Wakeup Receiver with Energy Harvesting in 65nm CMOS, IEEE Solidstate Circuits Conference (ISSCC), 2016 A. Shrivastava, D. Akella, B.H. Calhoun A 1.5nW, 32.768kHz XTAL Oscillator Operational from 0.3V Supply, IEEE Journal of Solid-state Circuits, 51(3), 2016, 686-696 A. Roy, A. Klinefelter, F.B. Yahya, X. Chen, P. Gonzalez, D. Akella, J. Boley, K. Craig, M. Faisal, S. Oh, N.E. Roberts, Y. Shakhsheer, A. Shrivastava, D. Vasudevan, D.D. Wentzloff, B.H. Calhoun A 6.45ÎźW Self-Powered SoC with Integrated Energy-Harvesting Power Management and ULP Asymmetric Radios for Portable Biomedical Systems, IEEE Transactions on Biomedical Circuits and Systems, 9(6), 2015, 862-874 *Invited paper to the special issue on International Solid State Circuits Conference 2015 A. Shrivastava, N.E. Roberts, O.U. Khan, D.D. Wentzloff, B.H. Calhoun A 10mV-Input Boost Converter with Inductor Peak Current Control and Zero Detection for Thermoelectric and Solar Energy Harvesting with 220mV Cold-start and -14.5dBm, 915MHz RF Kick-Start, IEEE Journal of Solid-State Circuits, 2015 *Invited paper to the special issue on Custom Integrated Circuits Conference 2014 A. Shrivastava, K. Craig, N.E. Roberts, D. Wentzloff, B.H. Calhoun A 32nW Bandgap Reference Voltage Operational from 0.5V Supply for Ultra-Low Power Systems, IEEE Solid-State Circuits Conference (ISSCC), 2015

SELECTED RESEARCH PROJECTS A Temperature Sensor Network to Study Public Health and Community Resilience Impacts of Heat Waves at Micro-Spatial Levels in the Town of Brookline Contact Principal Investigator, Northeastern University

FACULTY MICHAEL B. SILEVITCH Robert D. Black Professor, COE Distinguished Professor, Electrical and Computer Engineering; affiliated faculty, Civil and Environmental Engineering; Director, CenSSIS

PhD, Northeastern University, 1971 ece.neu.edu/people/silevitch-michael Subsurface sensing and imaging systems, detection of explosives related anomalies, engineered system development and engineering leadership Life Fellow, Institute of Electrical and Electronics Engineers; 2015 National Academy of Engineering Gordon Prize, for developing an innovative method to provide graduate engineers with the necessary personal skills to become effective engineering leaders

SELECTED RESEARCH PROJECTS ALERT: Awareness and Localization of Explosives Related Threats, A Department of Homeland Security Center of Excellence. ALERT seeks to conduct transformational research, technology and educational development for effective characterization, detection, mitigation and response to the explosives-related threats facing the country and the world Director and Principal Investigator, Department of Homeland Security CenSSIS: Center for Subsurface Sensing and Imaging Systems, Gordon-CenSSIS, a graduated NSF Engineering Research Center, was created to develop new technologies to detect hidden objects, and to use those technologies to meet real-world subsurface challenges in areas as diverse as noninvasive breast cancer detection and underground pollution assessment Director and Principal Investigator, National Science Foundation Research and Development of Reconstruction Advances in CT Based Object Detection Systems Principal Investigator, Department of Homeland Security

HANUMANT SINGH Professor, Electrical and Computer Engineering; jointly appointed, Marine and Environmental Sciences

PhD, Massachusetts Institute of Technology, 1995 ece.neu.edu/people/singh-hanumant Robotic sensors, systems, platforms, and algorithms including high resolution optical and acoustic sensing; underwater vehicles (AUV, ROV, towed and manned vehicles), unmanned surface vehicles, and unmanned aerial systems; system architectures for navigation, docking and power; and the interactions between these subsystems

SELECTED PUBLICATIONS C. Murphy, J. Walls, T. Schneider, H. Singh, et al. CAPTURE: A Communications Architecture for Progressive Transmission via Underwater Relays with Eavesdropping, IEEE Journal of Oceanic Engineering, 39(1), 2014, 1-13 H. Singh, W. Freeman, et al. Camouflaging an Object from Many Viewpoints, Proceedings of the 2014 Computer Vision and Pattern Recognition Conference, 1-8 K.E. Smith, H. Singh, H., et al. Discovery of a Recent, Natural Whale Fall on the Continental Slope Off Anvers Island, Western Antarctic Peninsula, Deep Sea Research Part I: Oceanographic Research Papers, 90, 2014, 76-80 G. Williams, J. Wilkinson, T. Maksym, H. Singh, C. Kunz, et al. Mapping Ice Thickness and Extreme Deformation of Antarctic Sea Ice from an Autonomous Underwater Vehicle, Nature Geoscience, 8, 2014, 61-67 M. Yi Cheung, J. Leighton, U. Mitra, H. Singh, F.S. Hover Performance of Bandit Methods in Acoustic Relay Positioning, Proceedings of the 2014 Automatic Control Conference, 2014, 4708-4714 C. Kunz, H. Singh Map Building Fusing Acoustic and Visual Information Using Autonomous Underwater Vehicles, Journal of Field Robotics, 30(5), 2013, 1556-4967 H. Singh, K. Nakamura, M. Jakobssen, T. Shank, et al. Effusive and Explosive Volcanism on the UltraslowSpreading Gakkel Ridge, 85°E, Geochemistry, Geophysics, Geosystems,13(10), 2012

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FACULTY EDUARDO SONTAG University Distinguished Professor, Electrical and Computer Engineering; jointly appointed, Bioengineering (starting January 2018)

Professor, Biology; jointly appointed: Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, University of Florida, 1977 ece.neu.edu/people/sontag-eduardo

PhD, University of Connecticut, 1995 ece.neu.edu/people/sternad-dagmar

Feedback control theory, systems biology, cancer, and biomedicine IEEE Control Systems Field Award; IFAC Fellow; AMS Fellow; SIAM Fellow; IEEE Fellow; Reid Prize in Applied Mathematics, SIAM

SELECTED PUBLICATIONS E.D. Sontag A Dynamical Model of Immune Responses to Antigen Presentation Predicts Different Regions of Tumor or Pathogen Elimination, Cell Systems, 4, 2017, 1-11 E.D. Sontag Dynamic Compensation, Parameter Identifiability, and Equivariances, PLoS Computational Biology, 13, 2017, 1005447 S. Barish, M.F. Ochs, E.D. Sontag, J.L. Gevertz Evaluating Optimal Therapy Robustness by Virtual Expansion of a Sample Population, with a Case Study in Cancer Immunotherapy, Proceedings of the National Academy of Sciences, 114, 2017, 6277-6286 F. Menolascina, R. Rusconi, V.I. Fernandez, S.P. Smriga, Z. Aminzare, E.D. Sontag, R. Stocker Logarithmic Sensing in Bacillus Subtilis Aerotaxis, Nature Systems Biology and Applications, 3, 2017, 16036 J. K. Kim, E.D. Sontag Reduction of Multiscale Stochastic Biochemical Reaction Networks Using Exact Moment Derivation, PLoS Computational Biology, 13(6)m, 2017, 1005571 E.V. Nikolaev, E.D. Sontag Quorum-Sensing Synchronization of Synthetic Toggle Switches: A Design Based on Monotone Dynamical Systems Theory, PLoS Computational Biology, 12, 2016, e1004881

SELECTED RESEARCH PROJECTS Theory-Based Engineering of Biomolecular Circuits in Living Cells Co-Principal Investigator, Air Force Office of Scientific Research Model-Guided Discovery and Optimization of Navy-Relevant CellBased Sensors Co-Principal Investigator, Office of Naval research Design Principles of Molecular Computing Using Engineered Enzymes Co-Principal Investigator, National Science Foundation Self-Modifying and Fast Analog Molecular Computing with Designed Enzymes Co-Principal Investigator, DARPA

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DAGMAR STERNAD

Motor control and learning, variability and stability, virtual rehabilitation, dynamic modeling, rhythmic and discrete movements as primitives for action Klein Lectureship Award; Distinguished Lecturer on Life and the Sciences of Complexity, Center for the Ecological Study of Perception and Action

SELECTED PUBLICATIONS S.W. Park, H. Marino, S. Charles, D. Sternad, N. Hogan Moving Slowly is Hard for Humans: Limitations of Dynamic Primitives, Journal of Neurophysiology, 118(1), 2017, 69-83 P. Stein, E.L. Saltzman, K.G. Holt, D. Sternad Is Failed Predictive Control a Risk Factor for Focal Dystonia?, Motor Disorders, 31(12), 2016, 1772-1777 C.J. Hasson, Z. Zhang, M.O. Abe, D. Sternad Neuromotor Noise is Malleable by Amplification of Perceived Error, PLoS Computational Biology, 2016 M.E. Huber, N. Kuznetsov, D. Sternad Persistence of Reduced Neuromotor Noise in Long-term Motor Skill Learning, Journal of Neurophysiology, 116(6), 2016, 2922-2935

SELECTED RESEARCH PROJECTS Collaborative Research: Towards Robots with Human Dexterity Principal Investigator, National Science Foundation Collaborative Research: Challenging the Cognitive-control Divide Principal Investigator, National Science Foundation Predictability in Complex Object Control Principal Investigator, National Institutes of Health Quantification of Predictive Motor Impairments in Individuals with ASD Principal Investigator, National Institutes of Health CRCNS US-German-Israeli Collaborative Research Proposal: Hierarchical Coordination of Complex Actions. Principal Investigator, National Science Foundation Multi-Center Trial of Augmented Sensory Feedback in Children with Dyskinetic CP Co-Investigator, National Institute of Health

FACULTY MILICA STOJANOVIC Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Northeastern University, 1993 ece.neu.edu/people/stojanovic-milica Wireless communications and networks, underwater acoustic transmission, statistical system characterization, adaptive signal processing Distinguished Technical Achievement Award, IEEE Ocean Engineering Society; Fellow, Institute of Electrical and Electronics Engineers

SELECTED PUBLICATIONS R. Ahmed, M. Stojanovic Joint Power and Rate Control for Packet Coding over Fading Channels, IEEE Journal of Oceanic Engineering, 42(3), 2016, 697-710 Y. Aval, S.K. Wilson, M. Stojanovic Capacity of Acoustic Channels and Practical Power-Allocation Strategies, IEEE Journal of Oceanic Engineering, Special Issue on Underwater Communications, 40(4), 2015, 785-795 Y. Aval, M. Stojanovic Differentially Coherent Multichannel Detection of Acoustic OFDM Signals, IEEE Journal of Oceanic Engineering, 40(2), 2015, 251-268 P. Qarabaqi, M. Stojanovic Statistical Characterization and Computationally Efficient Modeling of a Class of Underwater Acoustic Channels, IEEE Journal of Oceanic Engineering, Special Issue on Underwater Communications, 38(4), 2013, 701-717 S. Yerramalli, M. Stojanovic, U. Mitra Partial FFT Demodulation: A Detection Method for Doppler Distorted OFDM Systems, IEEE Transactions on Signal Processing, 60(11), 2012, 5906-5918 J. Heidemann, M. Stojanovic, M. Zorzi Underwater Sensor Networks: Applications, Advances, and Challenges, Philosophical Transactions of the Royal Society A, 2012, 158-175

SELECTED RESEARCH PROJECTS NeTS: Large: Collaborative Research: Exploration and Exploitation in Actuated Communication Networks Principal Investigator, National Science Foundation Intelligent Coordination and Adaptive Classification for Naval Autonomous Systems Principal Investigator, Office of Naval Research MRI: Development of the Northeastern University Marine Observatory NETwork (NU MONET) Co-Principal Investigator, National Science Foundation

NIAN SUN Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Stanford University, 2002 ece.neu.edu/people/sun-nian-xiang Magnetic, ferroelectric and magnetoelectric materials; RF/microwave magnetic and magnetoelectric devices design, fabrication and testing; materials properties at RF/ microwave frequency; range self-assembly of magnetic nanostructures Fellow, Institute of Physics; Fellow, Institute of Engineering and Technology; Office of Naval Research Young Investigator Award; National Science Foundation CAREER Award; Søren Buus Outstanding Research Award, College of Engineering

SELECTED PUBLICATIONS Z. Zhou, M. Trassin, Y. Gao, Y. Gao, D. Chen,...N.X. Sun Probing Electric Field Control of Magnetism Using Ferromagnetic Resonance, Nature Communications, 6, 2015, 6082 T. Nan, Y. Hui, M. Rinaldi, N.X. Sun Self-biased 215MHz Magnetoelectric NEMS Resonator for Ultra-sensitive DC Magnetic Field Detection, Scientific Reports, 3, 2013, 1985 M. Liu, Z. Zhou, T. Nan, B.M. Howe, G.J. Brown, N.X. Sun Voltage Tuning of Ferromagnetic Resonance with Bistable Magnetization Switching in Energy-Efficient Magnetoelectric Composites, Advanced Materials, 25(10), 2013, 1435-1439 J. Lou, M. Liu, D. Reed, Y. Ren, N.X. Sun Giant Electric Field Tuning of Magnetism in Novel Multiferroic FeGaB/Lead Zinc Niobate Lead Titanate Heterostructures, Advanced Materials, 21(46), 2009, 4711-4715 S.X. Wang, N.X. Sun, M. Yamaguchi, S. Yabukami Sandwich Films: Properties of a New Soft Magnetic Material, Nature, 407, 2000, 150-151

SELECTED RESEARCH PROJECTS Integrated Thermoelectric Materials and Devices Principal Investigator, Analog Devices, Incorporated Multiferroic Materials for RF Applications Principal Investigator, Defense Advanced Research Projects Agency Nanofabricated Neural Probes with Ultra-sensitive Integrated Compact RF NEMS Magnetoelectric Sensors for Electromagneto-brain Activity Mapping Principal Investigator, Keck Foundation Novel Multiferroic Heterostructures for Translational Compact and Power Efficient Voltage Tunable Devices Principal Investigator, National Science Foundation Power Efficient Voltage Tunable Spin Hall Nano Oscillators with Multiferroic Heterostructures Principal Investigator, Air Force Research Laboratory Sensitive and Selective Chemical Sensor Using MolecularlyImprinted Single Layer Graphene Principal Investigator, Air Force

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FACULTY MARIO SZNAIER Dennis Picard Trustee Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, University of Washington, 1989 ece.neu.edu/people/sznaier-mario Robust control; reduced order models; videobased control; applications to dynamics in imaging and video processing; information extraction from high volume data streams IEEE Control Systems Society Distinguished Member Award

SELECTED PUBLICATIONS B. Yilmaz, C. Lagoa, M. Sznaier An Efficient Atomic Norm Minimization Approach to Identification of Low Order Models, 2013 IEEE 52nd Annual Conference on Decision and Control, 2013, 5834-5839 M. Ayazoglu, B. Yilmaz, M. Sznaier, O. Camps Finding Causal Interactions in Video Sequences, IEEE International Conference on Computer Vision, Sydney, 2013 C. Dicle, O. Camps, M. Sznaier The Way They Move: Tracking Multiple Targets with Similar Appearance, IEEE International Conference on Computer Vision, Sydney, Australia, 2013 K. Bekiroglu, M. Sznaier, C. Lagoa, B. Shafai Vision Based Control of an Autonomous Blimp with Actuator Saturation Using Pulse Width Modulation, Proceedings of the 2013 IEEE International Conference on Control Applications, 2013, 1036-1041 Y. Cheng, Y. Wang, M. Sznaier Worst Case Optimal Estimators for Switched Linear Systems, Proceedings of the 52nd IEEE Conference on Decision and Control, 2013, 4036-4041

SELECTED RESEARCH PROJECTS Robust Identification and Model (in) Validation of Switched Hammerstein/Wiener Systems and Applications Principal Investigator, National Science Foundation

SRINIVAS TADIGADAPA Professor and Chair of Electrical and Computer Engineering (starting January 2018)

PhD, Cambridge University, 1994 ece.neu.edu/people/tadigadapa-srinvas Sensor Devices and Smart Sensor Systems realized through interdisciplinary field of microelectromechanical systems (MEMS); including the design, optimization, fabrication, testing, and networking of such transducers; fabrication of novel micro and nano-sensors and actuators by integrating non-traditional materials using silicon planar microfabrication techniques and exploring phenomenon at the micro-nano interfaces; development of sustainable sensing solutions for biomedical applications including investigation of robust magnetic technologies for interfacing to the brain IEEE Fellow; Alexander von Humboldt Fellowship in Germany; Walton Fellowship, Science Foundation of Ireland; Fellow of the Institute of Physics, London; Life-Fellow of the Cambridge Philosophical Society; Founding Editor-in-Chief of IEEE Sensors Letters Journal

SELECTED PUBLICATIONS D. Gaddes, W. Brian Reeves, S. Tadigadapa A Calorimetric Biosensing System for Quantification of Urinary Creatinine, ACS Sensors, 2017 E. Freeman, J. Harper, N. Goel, I. Gilbert, J. Unguris, S. Schiff, S. Tadigadapa Improving The Magnetoelectric Performance of Metglas/Pzt Laminates by Annealing in Magnetic Field, Smart Materials & Structures, 2017 D. Kim, J. Kelly, N. Samarth, S. Tadigadapa Microfabricated Testbench Designed to Measure Thermal and Thermoelectric Properties of Low-Dimensional Materials, Journal of Microelectromechanical Systems, 2017 H. Min, W. Zhang, C. Ashraf, D. Allara, A.C.T. Van Duin, S. Tadigadapa Modified Random Sequential Adsorption Model For Understanding Kinetics of Proteins Adsorption at a Liquid-Solid Interface, Langmuir, 2017 D. Gaddes, H. Jung, A. Pena-Francesch, G. Dion, S. Tadigadapa, W.J. Dressick, M.C. Demirel Self-Healing Textile: Enzyme Encapsulated Layer-By-Layer Structural Proteins, ACS Applied Materials & Interfaces, 8(31), 2016, 20371–20378

SELECTED RESEARCH PROJECTS Implantable Brain Microelectromechanical Magnetic Sensing and Stimulation (MEMS-MAGSS) Co-Principal Investigator, National Institutes of Health

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FACULTY GILEAD TADMOR Professor, Electrical and Computer Engineering; affiliated faculty, Bioengineering

PhD, Weizmann Institute of Science, 1984 ece.neu.edu/people/tadmor-gilead Control systems; dynamical systems; low order modeling and estimation in complex systems; medical imaging

SELECTED PUBLICATIONS V. Troshin, A. Seifert, D. Sidilkover, G. Tadmor Proper Orthogonal Decomposition of Flow-Field in NonStationary Geometry, Journal of Computational Physics, 311, 2016, 329-337 B. Erem, R. Martinez Orellana, D.E. Hyde, J.M. Peters, F.H. Duffy, P. Stovicek, S.K. Warfield, R.S. MacLeod, G. Tadmor, D.H. Brooks Extensions to a Manifold Learning Framework for Time Series Analysis on Dynamic Manifolds in Bioelectric Signals, Physical Review E, 93, 2016, 042218 K. Aleksic-RoeĂ&#x;ner, R. King, O. Lehmann, G. Tadmor, et al. On the Need of Nonlinear Control for Efficient Model-based Wake Stabilization, Theoretical and Computational Fluid Dynamics, 28(1), 2014, 23-49 L. Mirkin, T. Shima, G. Tadmor Sampled-Data H2 Optimization of Systems with I/O Delays via Analog Loop Shifting, IEEE Transactions on Automatic Control, 59, 2014, 787-791 M. Schlegel, B.R. Noack, P. Jordan, A. Dillman, G. Tadmor, et al. On Least-Order Flow Representations of Aerodynamics and Aeroacoustics, Journal of Fluid Mechanics, 697, 2012, 367-398 S. Laxminarayan, G. Tadmor, et al. Modeling Habituation in Rat EEG Evoked Responses via a Neural Mass Model with Feedback, Biological Cybernetics, 105, 2011, 371-397 A. Cavalieri, G. Daviller, P. Comte, P. Jordan, G. Tadmor, et al. Using Large Eddy Simulation to Explore Sound-Source Mechanisms in Jets, Journal of Sound and Vibration, 330, 2011, 4098-4113

EDMUND YEH Professor, Electrical and Computer Engineering

PhD, Massachusetts Institute of Technology, 2001 ece.neu.edu/people/yeh-edmund Future internet architecture, cross-layer design and optimization of wireless networks, wireless network science, network economics, wireless sensor networks, network information theory and coding, smart power grids Alexander von Humboldt Fellowship; Best Paper Award, IEEE International Conference on Communications; Army Research Office Young Investigator Program Award; Senior Member of the Institute of Electrical and Electronics Engineers; Secretary, IEEE Information Theory Society

SELECTED PUBLICATIONS E. Yeh, R.A. Berry Throughput Optimal Control of Cooperative Relay Networks, IEEE Transactions on Information Theory, 53(10), 2007, 3827-3833 R.A. Berry, E. Yeh Cross-Layer Wireless Resource Allocation, IEEE Signal Processing Magazine, 21(5), 2004, 59-68 E. Yeh, A.S. Cohen Throughput and Delay Optimal Resource Allocation in Multiaccess Fading Channels, Proceedings of the International Symposium on Information Theory (ISIT), Yokohama, Japan, 2003, 245 L. Zhang, D. Estrin, J. Burke, V. Jacobson, E. Yeh, et al. Named Data Networking (NDN) Project, Technical Report ndn0001, PARC, 2010 A. Bedekar, S. Borst, K. Ramanan, P. Whiting, E. Yeh Downlink Scheduling in CDMA Data Networks, Global Telecommunications Conference, Rio De Janeiro, Brazil, 1999, 2653-2657

SELECTED RESEARCH PROJECTS Modeling, Analysis and Control for Robust Interdependent Networks Co-Principal Investigator, Defense Threat Reduction Agency NeTS: Small: Collaborative Research: Large Scale Networks and Information Flow: From Emergent Behavior to Algorithm Design Principal Investigator, National Science Foundation Scalable Distributed and Dynamic Forwarding and Caching Algorithms for Named Data Networks Principal Investigator, Cisco Systems, Incorporated

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SELECTED PhD THESES Brad J. Courville

Velin Dimitrov

PhD 2017, Electrical and Computer Engineering; Advisor, David Kaeli

PhD 2017, Electrical and Computer Engineering; Advisor, Taskin Padir

IMPROVED SIMULATION OF THE NVIDIA KEPLER MEMORY HIERARCHY THROUGH MICROBENCHMARKING

MODEL-BASED ROBOT CONTROL IN HUMAN-INTHE-LOOP CYBER PHYSICAL SYSTEMS

In this dissertation we utilize microbenchmarks to highlight a number of microarchitectural properties of an NVIDIA Kepler GPU. The goal is to develop an understanding of the memory access timings and cache parameters present in the Kepler memory hierarchy. This knowledge is then integrated into the Multi2sim Kepler model to improve simulation accuracy. These enhancements improve the timing accuracy of the MultiSim Kepler model by an average of 10.8% and a maximum of 26.8% with for memory intensive benchmarks when compared to physical hardware. See full dissertation at coe.neu.edu/17/BradJCourville

In this dissertation we present a shared control architecture to enable the systematic design, modeling, and implementation of elements necessary for effective integration of robots in HiLCPS, with examples of systems in assistive, disaster, and space robotics. The implementation of shared control concepts in wheeled ground vehicles and bipedal humanoid robots are described in detail with emphasis on the challenges and problems encountered in their successful implementation. Additionally, contributions to the NASA RASC-AL Robo Ops Challenge, NASA Sample Return Robot Challenge, DARPA Robotics Challenge, and NASA Space Robotics Challenge are noted as examples of conducting research within the confines of competitive challenges. We identify common methods and concepts between the different applications of HiLCPS and show their progression and adaptation for different crossdomain implementations. See full dissertation at coe.neu.edu/17/VelinDimitrov

Emrecan Demirors

Benjamin Drozdenko

PhD 2017, Electrical Engineering; Advisor, Tommaso Melodia

PhD 2017, Computer Engineering; Advisor, Miriam Leeser

RECONFIGURABLE ARCHITECTURES FOR RF AND UNDERWATER ACOUSTIC WIRELESS NETWORKS

ENABLING PROTOCOL COEXISTENCE : HARDWARE-SOFTWARE CODESIGN OF WIRELESS TRANSCEIVERS ON HETEROGENEOUS COMPUTING ARCHITECTURES

This dissertation will then discuss the design, implementation, and experimental evaluation of a new high-rate software-defined acoustic modem (SDAM) with real-time adaptation capabilities for UW-A communications. The proposed SDAM offers (i) higher data rates compared to existing commercial and experimental acoustic modems and (ii) capability of reconfiguring its physical layer in real time under rapidly varying environmental conditions. The performance of the proposed SDAM was evaluated in both water tank and lake environments. See full dissertation at coe.neu.edu/17/EmrecanDemirors

This dissertation introduces new Field Programmable Gate Array (FPGA)-based design techniques to receive multiple protocols on the same computing platform. Our methods incorporate tunable parameters, such as FIR filter length and number of bits per fixed-point word, to explore design tradeoffs regarding clock cycle, resource utilization, power consumption, and detection accuracy. This research separates the physical (PHY) layer receive chains into a set of building blocks, including rate transition, pattern detection, and Orthogonal Frequency Division Multiplexing (OFDM) demodulation. This research introduces a practical resampling technique to accommodate several protocol rates while taking FPGA resource utilization into account. See full dissertation at coe.neu.edu/17/BenjaminDrozdenko

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SELECTED PhD THESES Sheng Li

Fanny Nina Paravecino

PhD 2017, Computer Engineering; Advisor, Yun Fu

PhD 2017, Computer Engineering; Advisor, David Kaeli

ROBUST DATA REPRESENTATIONS FOR VISUAL LEARNING

CHARACTERIZATION AND EXPLOITATION OF NESTED PARALLELISM AND CONCURRENT KERNEL EXECUTION TO ACCELERATE HIGH PERFORMANCE APPLICATIONS

This dissertation aims to address the challenges in processing noisy visual data captured in real world. The proposed robust data representations have shown promising performance in a wide range of visual learning tasks, such as image clustering, face recognition, human motion segmentation, and multimodal classification. See full dissertation at coe.neu.edu/17/ShengLi

In this thesis, we present novel approaches to characterize application behavior that can exploit nested parallelism and concurrent kernel execution introduced on recent GPU architectures. To identify bottlenecks that can be improved through the exploitation of nested parallelism and concurrent kernel execution, we proposed a set of metrics for a range of GPU kernels. See full dissertation at coe.neu.edu/17/FannyNinaParavecino

Payden Wells McBee

Stephanie White Quinn

PhD 2017, Electrical and Computer Engineering; Advisor, Jennifer G. Dy

PhD 2017, Electrical and Computer Engineering; Advisor, Michael B. Silevitch

EXPLORING FEATURE SETS FROM SATELLITE IMAGERY IN SOCIO-ECONOMIC PREDICTIONS IN SUB-SAHARAN AFRICA

ENERGY GLEANING TO INCREASE THE EFFICIENCY OF 2-AXIS TIME-POSITION TRACKING PHOTOVOLTAIC ARRAYS UNDER VARIABLY CLOUDY SKIES

In this thesis, we use information from remote sensing to provide that insight into stability. Remote sensing provides an avenue of analyzing regions in which other data collection methods may otherwise prove too dangerous or expensive. Our analysis concerns social science questions of neighborhoods in Sub-Saharan African countries. Specifically, we examine and derive feature sets from satellite imagery in order to improve the classification accuracy of survey questions concerning economic well-being and crime in Botswana, Kenya, and Zimbabwe. Using feature selection techniques on our current library, we determine that features relating to edge density and vegetation are most pertinent to the predictive capabilities of multiple classifiers. See full dissertation at coe.neu.edu/17/PaydenWellsMcBee

This dissertation derives and validates a simple formula for directly calculating the optimal tilt angle of a 2-axis time-position tracking PV array under varying sky conditions. By modifying the conventional tilt angle as the sky conditions change, the tracking PV array can glean the additional small amounts of irradiation that are overlooked and unused on cloudy days. The validity of this formula was verified using 36 months of weather data from an installation in the northeastern United States where clear skies occur about 40% of the time. Simulations indicated that modifying the conventional tracking angles in response to changing cloud cover results in 2.26% increase in collected insolation and 2.33% increase in AC energy over a 36-month period when compared with conventional 2-axis timeposition tracking. See full dissertation at coe.neu.edu/17/StephanieWhiteQuinn

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SELECTED PhD THESES Alireza Rouhani

Su Sheng

PhD 2017, Electrical Engineering; Advisor, Ali Abur

PhD 2017, Electrical Engineering; Advisor, Brad Lehman

ROBUST DYNAMIC STATE ESTIMATION IN POWER SYSTEMS

PHOTOVOLTAIC NANOGRID: PARALLEL OPERATING INVERTERS AND ENERGY MANAGEMENT FLOW

This dissertation introduces an UKF based DSE which is named Constrained Iterated Unscented Kalman Filter (CIUKF). One of the main features of the proposed DSE is that it is capable to identify the unknown parameters of the synchronous generators such as inertia constants and transient reactances while estimating the dynamic state variables of the synchronous generator.

This thesis first presents the design of a lightweight, compact and high reliability modified sine wave inverter. The inverter is integrated with foldable photovoltaic (PV) panel, maximum power point tracking (MPPT) charger and rechargeable battery to construct a portable PV nanogrid that can supply both DC and AC loads, for campers, hikers and especially soldiers on the move. This dissertation proposes methods to safely parallel the modified sine wave inverters without adding filtering inductors or capacitors. The methods merge approaches used to parallel pure sine wave inverters with methods sometimes used to parallel DC-DC converters. The developed approaches are then extended to parallel cascaded H-bridge multilevel inverters.

See full dissertation at coe.neu.edu/17/AlirezaRouhani

See full dissertation at coe.neu.edu/S17/SuSheng

G. Enrico Santagati

Ramanathan Subramanian

PhD 2017, Computer Engineering; Advisor, Tommaso Melodia

PhD 2017, Electrical and Computer Engineering; Advisor, Kaushik Chowdhury

ULTRASONIC NETWORKING TECHNOLOGIES FOR THE INTERNET OF IMPLANTABLE AND WEARABLE THINGS This dissertation discusses the design and development of wireless networking technologies for implantable and wearable devices based on ultrasonic communications. Wirelessly networked systems of implantable and wearable medical devices endowed with sensors and actuators will be the basis of many innovative, sometimes revolutionary therapies. However, biological tissues are composed primarily of water, and radiofrequency (RF) electromagnetic waves, which are the physical basis of currently used wireless technologies like Wi-Fi and Bluetooth, do not propagate well in water and heat body tissues. Additionally, RF communications can be easily jammed or eavesdropped, raising important privacy and security red flags, and a risk for the patient. See full dissertation at coe.neu.edu/17/GEnricoSantagati

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AN EXPERIMENTAL INVESTIGATION OF HOT SWITCHING CONTACT DAMAGE IN RF MEMS SWITCHES This dissertation addresses several challenges in the design of medium access protocols for short-range wireless networks that can operate in distinct spectrum band(s). The publicly available code base, protocols, analytical models, algorithms and the insights resulting from simulation-based case studies will help researchers in significantly reducing the development time and effort. This will enable future reliable link layer designs and architecting robust network of radios, paving the way for the emergence of far-reaching wireless applications. See full dissertation at coe.neu.edu/17/RamanathanSubramanian

SELECTED PhD THESES Meenupriya Swaminathan

Jing Yang

PhD 2017, Electrical and Computer Engineering; Advisor, Kaushik Chowdhury

PhD 2017, Electrical and Computer Engineering; Advisor, Yong-Bin Kim

WIRELESS INTRA-BODY COMMUNICATION FOR IMPLANTABLE AND WEARABLE BODY DEVICES USING GALVANIC COUPLING

CLOCK DISTRIBUTION ON STANDING WAVE WITH CMOS ACTIVE INDUCTOR LOADING

This dissertation addresses the unique challenges pertaining to signal propagation through human tissue and takes experimentally proven steps towards practical intra-body networking. The tissue channel models, algorithms, protocols and safety guidelines devised can be integrated to build continuous, safe and energy efficient intra-body wireless communication that connects multiple implants and wearables to external world, paving way for the emergence of revolutionary medical applications. See full dissertation at coe.neu.edu/17/MeenupriyaSwaminathan

In this thesis, we extend the idea of clock distribution with inductive loading further by applying CMOS active inductor as inductive loading. Compared to passive inductor design, active inductor can potentially achieve tunable design with reduced area overhead and high Q value. Moreover, it is compatible with CMOS technology process and easily integrated into chipsets. The thesis first presents a global clock distribution design by generating standing wave oscillations along inductively loaded micro-strip lines. Transmission line modeling is setting up and analyzed. An improved X-tree clock topology is employed and cross-coupled pair (CCP) is used to reduce loss on transmission line. See full dissertation at coe.neu.edu/17/JingYang

Xin Xie PhD 2017, Electrical Engineering; Advisor, Carol Livermore

HIGH PERFORMANCE MICRO ACTUATORS FOR TACTILE DISPLAYS In this work, a new type of tactile actuator is designed, modeled, implemented, and characterized. The technologies needed to create these actuators are created as well. In these actuators, the small, in-plane motions from an extensional actuator are converted and amplified by a scissor mechanism into larger, out-of-plane motions that are suitable for tactile sensing by human finger pads. These actuators offer the possibility of providing large displacement and high force from a limited device area that is comparable to the resolution of human finger pads. The design, fabrication and characterization of several technology generations of MEMS-enabled, vibrational tactile actuators are presented. In the first generation, flexural hinges created by additive manufacturing and in photodefinable epoxy are used to implement the jointed scissor architecture. In the second generation, a downscaled architecture is created by implementing flexural hinges in a more compact geometry and a laminated architecture. See full dissertation at coe.neu.edu/17/XinXie

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DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING 409 Dana Research Center Northeastern University 360 Huntington Avenue Boston, MA 02115 P 617.373.4159 F 617.373.8970

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COVER IMAGE Anthony Bisculco, E’18, electrical engineering, works on a radar device in the Sica Lab in the Egan Research Center.