Electrical Engineering

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Office of Graduate Admissions
Bendetson Hall
Medford, MA 02155
(617) 627-3395

Electrical and Computer Engineering (M.S. and Ph.D.)

The Department of Electrical and Computer Engineering is a growing interdisciplinary department with a focus on research and education in a wide variety of sub-disciplines, ranging from image and signal processing to nanoscale engineering.

Microwave and Wireless Engineering (Certificate)

In addition to continued needs for microwave and wireless engineers within the context of military applications, recent years have seen an explosion of demand for these skills in the commercial sector as well. With the availability of relatively inexpensive microwave components and improved digital communications, these opportunities have few limits. Radar, satellite, wireless radio and optical communication, and collision avoidance radar are just a few areas, which utilize microwave technology. The Microwave and Wireless Certificate program is open to students with a bachelor's degree in electrical engineering or physics or with equivalent preparation, including a background in general physics and intermediate circuit theory.

Bioengineering (M.S.)

The Signal and Systems track of the Bioengineering Master's program educates biotechnology engineers in (1) analysis and processing of signals with an emphasis on biomedical image processing and image formation and (2) design, control and synthesis of systems for biotechnology (e.g. development of miniaturized devices, circuits and systems, controller design for bioreactors).


Eric Miller, headshot
Eric Miller
Department Chair and Professor
Ph.D. , Massachusetts Institute of Technology
Physics-Based Signal and Image Processing and Inverse Problems, Applications Explored Include Medical Imaging and Image Analysis, Environmental Monitoring and Remediation, Landmine and Unexploded Ordnance Remediation, Homeland Security, and Automatic Target Detection and Classification
Shuchin Aeron, headshot
Shuchin Aeron
Assistant Professor
Ph.D. , Boston University
Technical foci: Statistical Signal Processing (SSP), Inverse Problems, Compressed Sensing, Information Theory, Convex optimization, Machine learning; Application areas: SSP algorithms for geophysical signal processing, Compressed Sensing architectures and evaluation, video and Image data acquisition and processing, bioengineering-metabolic networks
Mohammed Nurul Afsar
Ph.D. , University of London
Precision microwave, millimeter, submillimeter, terahertz, infrared wave; Solid, liquid & gaseous state physics, spectroscopy; Theoretical studies of polymeric, glassy, amorphous and chemical vapor deposition (CVD) grown materials, ceramic and semiconductor materials, thin films, liquids and fluids, electronic, biological and magnetic materials; Microwave Integrated Circuits for wireless
Chorng Hwa Chang, headshot
Chorng Hwa Chang
Associate Professor
Ph.D. , Drexel University
Computer Architecture, Parallel Processing, Computer Networking, Hardware Description Languages, Simulation and Programmable Logic Design, Engineering Education
Kevin Grossklaus, headshot
Kevin Grossklaus
Research Assistant Professor
Ph.D. , University of Michigan
Optoelectronics, thin film deposition, energy materials, materials characterization, III-V semiconductors
Mark Hempstead
Mark Hempstead
Associate Professor
Ph.D. , Harvard University
Computer Architecture, Computer Systems, Power-Aware Computing, Embedded Systems, Mobile Computing
Jeffrey Hopwood
Ph.D. , Michigan State University
Microwave Circuit Design for Microplasma Generation, Microplasma-Based Environmental Sensors and Other Microsystem Applications, Plasma Diagnostic Methods, Characterization and Modeling
Alan Hoskinson
Research Assistant Professor
Ph.D. , University of Wisconsin
Applications of Atmospheric-Pressure Plasmas, Spectroscopic Plasma Diagnostics, Plasma Modeling, Thin Film Deposition
Usman Khan
Assistant Professor
Ph.D. , Carnegie Mellon University
Robotics, Signal Processing, Sensing in The Context of Distributed Estimation and Control Algorithms, Distributed, Iterative Algorithms in Random Environments
Valencia Joyner Koomson
Associate Professor
Ph.D. , University of Cambridge
Design of Silicon-Based Mixed-Mode VLSI Systems (Analog, Digital, RF, Optical), Analog Signal Processing, Optoelectronic System-on-Chip Modeling and Integration for Applications in Optical Wireless Communication and Biomedical Imaging
Ronald Lasser
Professor of the Practice
Ph.D. , Carnegie Mellon University
Digital Image Processing, Computer Animation, Swarm Robotics, Innovation, Engineering Method & Design
Karen Panetta
Professor and Associate Dean
Ph.D. , Northeastern University
Image and Signal Processing for Security and Medical Applications, Modeling and Simulation, Multimedia
Douglas Preis
Ph.D. , Utah State University
Signal Analysis, Digital Signal Processing, Audio Engineering, Electromagnetic Theory
Sameer Sonkusale
Ph.D. , University of Pennsylvania
Integrated Circuits for Sensors and Instrumentation, Nanoelectrochemical Systems on Silicon, CMOS Image Sensors for Scientific Imaging, Analog to Information Converters, Active Metamaterial Circuits and Systems, Terahertz Integrated Circuits, Metamaterials and Plasmonics
Aleksandar Stanković
Ph.D. , Massachusetts Institute of Technology
Analytical and Experimental Work Involving Modeling, Control, and Estimation in Electric Energy Processing, Power Electronics, Power Systems, and Electric Drives
Brian Tracey
Professor of the Practice and Research Assistant Professor
Ph.D. , Massachusetts Institute of Technology
Imaging Techniques and Image Processing, Computational Acoustics and Acoustical Signal Processing, Biomedical Signal Processing and Medical Device Development
Thomas Vandervelde
Associate Professor
Ph.D. , University of Virginia
Semiconductor Mechanics and Photonics
Mai Vu
Associate Professor
Ph.D. , Stanford University
Cognitive and Cooperative Communications, Energy-Efficient Communications, Wireless Communications, Network Information Theory, Statistical Signal Processing, Convex Optimization and Applications

Applicants to the graduate program are expected to have a degree at the level of bachelor's or master's in electrical or computer engineering, or a related discipline such as computer science, physics, or mathematics.

All applicants to the Master of Science program are required to select a thesis or non-thesis track on the online application. Applicants selecting the non-thesis track are required to indicate if they would like to apply to the coursework non-thesis track or the project-based non-thesis track in their personal statement. For more information on the distinction between the program options, please be in touch with the department directly.

Application deadlines:

Spring: September 15
Fall: January 15
GRE General Test scores required.

For more information, visit the Department of Electrical and Computer Engineering

For questions about this program, including scholarships and assistantships, please contact the graduate program director.
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School of Engineering
Tufts University
200 College Avenue
Medford, MA 02155
Office: 617-627-3217