ECE Department
Thomas Vandervelde, Chair of ECE Department
https://engineering.tufts.edu/ece/people/faculty/thomas-vandervelde
Research/Areas of Interest
Interaction of light with matter, physics of nanostructures and interfaces, metamaterials, material science, plasmonics, and surfactants, semiconductor photonics and electronics, epitaxial crystal growth, materials and devices for energy and infrared applications.
Vandervelde has extensive research experience in optoelectronics and photonics. He studies the interaction of light with matter and the physics of nanostructures (semiconductor photonics and electronics) and interfaces, with special interest in the area of energy materials.
Education
- Ph.D., University of Virginia, Charlottesville, United States, 2004
- M.A., University of Virginia, Charlottesville, United States, 2003
- B.S., University of Massachusetts Amherst, Amherst Center, United States, 1999
Shuchin Aeron
https://engineering.tufts.edu/ece/people/faculty/shuchin-aeron
Research/Areas of Interest
data science, statistical signal processing, inverse problems, compressed sensing, information theory, convex optimization, machine learning, algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing
Education
- PhD, Boston University, Boston, United States, 2009
- MS, Boston University, Boston, United States, 2004
- B.Tech, Indian Institute of Technology, India, 2002
- Post Doctoral Research Scientist, Schlumberger Doll Research, Cambridge, United States, 2011
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Marco Donato
https://engineering.tufts.edu/ece/people/faculty/marco-donato
Research/Areas of Interest
emerging technologies, non-volatile memories, SoC design, hardware for machine learning, noise modeling and reliability
Education
- B.Sc. in Electrical Engineering, Università di Roma La Sapienza, Rome, Italy, 2008
- M.Sc. in Electrical Engineering, Università di Roma La Sapienza, Rome, Italy, 2010
- Ph.D. in Electrical Sciences and Computer Engineering, Brown University, Providence, United States, 2016
Mark Hempstead
https://engineering.tufts.edu/ece/people/faculty/mark-hempstead
Research/Areas of Interest
computer architecture, computer systems, power-aware computing, embedded systems, mobile computing, computer systems for machine learning, workload characterization, quantum computing, learning sciences and computer systems for human subjects research
Education
- Ph.D., Harvard University, Cambridge, United States
- S.M., Harvard University, Cambridge, United States
- B.S. Summa Cum Laude, Tufts University, Medford, United States
Usman Khan
https://engineering.tufts.edu/ece/people/faculty/usman-khan
Research/Areas of Interest
Optimization and Control, Machine Learning, Signal Processing, Graph Theory, Decentralized Algorithms
Education
- Ph.D., Carnegie Mellon University, United States, 2009
- M.S., University of Wisconsin–Madison, Madison, United States, 2004
- B.S., University of Engineering and Technology Lahore, Lahore, Pakistan, 2002
Valencia Koomson
https://engineering.tufts.edu/ece/people/faculty/valencia-koomson
Research/Areas of Interest
Biomedical instrumentation, AI-powered wearable devices, biophotonics,
optoelectronic integrated systems, health informatics, human-centered
design, health equity research
Education
- Ph.D., University of Cambridge, Cambridge, United Kingdom, 2003
- M.Phil., University of Cambridge, United Kingdom, 2000
- M.Eng., Massachusetts Institute of Technology, Cambridge, United States, 1999
- B.S., Massachusetts Institute of Technology, Cambridge, United States, 1998
Yingjie Lao
https://engineering.tufts.edu/ece/people/faculty/yingjie-lao
Research/Areas of Interest
trusted AI, hardware security, electronic design automation, VLSI architectures for machine learning and emerging cryptographic systems, and AI for healthcare and biomedical applications.
Education
- Doctor of Philosophy, University of Minnesota, Twin Cities, Minneapolis, United States, 2015
- B.S., Zhejiang University, China, 2009,
Eric Miller
https://engineering.tufts.edu/ece/people/faculty/eric-miller
Research/Areas of Interest
Statistical- and physics-based signal and image modeling and processing, tomographic image formation and object characterization, and inverse problems. Applications explored include human performance assessment, materials science, airport security, medical imaging, environmental monitoring and remediation, unexploded ordnance remediation, and automatic target detection and classification.
Education
- Ph.D in Electrical Engineering, Massachusetts Institute of Technology, Cambridge, United States, 1994
- S.M. in Electrical Engineering, Massachusetts Institute of Technology, Cambridge, United States, 1992
- S.B. in Electrical Engineering, Massachusetts Institute of Technology, Cambridge, United States, 1990
Aseema Mohanty
https://engineering.tufts.edu/ece/people/faculty/aseema-mohanty
Research/Areas of Interest
nanophotonics, optical beam shaping, neuroengineering, chip-scale imaging and microscopy, quantum information systems
Research Website: https://sites.tufts.edu/amohanty/
Education
- Doctor of Philosophy, Cornell University, USA, 2017
- Bachelor of Science, Mass Institute of Technology, USA, 2011
Karen Panetta
https://engineering.tufts.edu/ece/people/faculty/karen-panetta
Research/Areas of Interest
Signal processing; image processing; simulation modeling
Karen Panetta's research focuses on developing efficient algorithms for simulation, modeling, and signal and image processing for security and biomedical applications.
Education
- Ph.D., Northeastern University, Boston, United States
- M.S., Northeastern University, Boston, United States
- B.S., Boston University, Boston, United States
Paul Simmonds
https://engineering.tufts.edu/ece/people/faculty/paul-simmonds
Research/Areas of Interest
Experimental development of novel semiconductor nanostructures for quantum information sciences.
Tailoring crystal symmetry and strain at the nanoscale to produce next generation optoelectronic devices.
AREAS OF RESEARCH EXPERTISE
• MBE growth, chamber maintenance, and system support.
• Low-temperature, high-field magnetoresistance quantized carrier/spin transport (quantum Hall
effects, Shubnikov-de Haas oscillations, 1D quantized conductance, 0.7 structure, etc.).
• Atomic force microscopy (AFM), transmission electron microscopy (TEM), X-ray diffraction (XRD)
and photoluminescence (PL), Raman spectroscopy, ellipsometry, Rutherford back scattering, etc.
• Cleanroom-based micro/nanofabrication including photo- and e-beam-lithography, metallization,
and device packaging
Education
- Doctor of Philosophy, Univ of Cambridge, GBR, 2008
- Master of Science, Univ of Essex, GBR, 2002
- Bachelor of Science, Univ of Durham/England, GBR, 1999
Sameer Sonkusale
https://engineering.tufts.edu/ece/people/faculty/sameer-sonkusale
Research/Areas of Interest
Bioelectronics, Biomedical microdevices, Wearables, Ingestibles, Biomedical circuits and systems, micro and nano fabrication, lab-on-chip microsystems, global health and precision medicine, CMOS image sensors for scientific imaging, analog to information converters, analog computing, brain inspired machine learning, active metamaterial devices, circuits, and systems, terahertz devices and circuits.
Education
- Ph.D., University of Pennsylvania, Philadelphia, United States, 2003
- MS, University of Pennsylvania, Philadelphia, United States, 1999
- BE (Honors), Birla Institute of Technology and Science, Pilani, India, 1996
Mai Vu
https://engineering.tufts.edu/ece/people/faculty/mai-vu
Research/Areas of Interest
machine learning, applied optimization, wireless communications and networks, 5G/6G systems and techniques
She leads Tufts LiNKS, the Laboratory for communIcations in NetworKed Systems, which conducts research in wireless systems, signal processing, and networked communications. She and her group have published extensively in the areas of 5G and beyond systems, machine learning in communications, millimeter-wave communications, cooperative and cognitive communications, MIMO capacity and pre-coding, and energy-efficient communications.
Education
- Ph.D. in Electrical Engineering, Stanford University, United States, 2006
- MS in Electrical Engineering, Stanford University, USA, 2006
- M.S.E. in Electrical Engineering, University of Melbourne, Melbourne, Australia, 1999
- B.E. in Computer Engineering, RMIT University, Australia, 1997