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Electrical and Computer Engineering

Doctorate
Overview
Application Requirements
Faculty
Related Programs
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Application Deadlines
Fall: Jan 15
Spring: Sep 15
Summer: n/a
School/Department
Electrical and Computer Engineering
Contact
gradadmissions@tufts.edu
Format
On-campus
Commitment Options
Full-time
Part-time (Daytime)
Average Duration
3 - 5 years
Credits
Varies

Overview

With expert faculty, cutting-edge research, and innovative facilities, electrical and computer engineering doctoral students at Tufts have the opportunity and resources to make significant contributions to the field and become leaders in industry, government, and academia.

Program Highlights

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.

Past dissertations have explored solid-state materials with an emphasis on optoelectronic and solar energy applications, microwave devices and systems, microwave thermography, electromagnetics, antennas, plasma physics, small computers, microprocessor applications, computer architecture, multiprocessing, VLSI design, VLSI CAD, microelectronics, communications systems, information theory, signal processing, digital electronics, Fourier optics, coherence theory, image analysis, nonlinear optics, and circuit theory.

Career Outcomes

Tufts electrical and computer engineers go on to great things. Some are entrepreneurs, founding or working at start-ups. Others are pursuing careers at some of the world's leading technology companies, like Google, Amazon Robotics, Fitbit, Nest, and Intel, or have used their engineering education in different industries altogether, going to work for Fidelity Investments and the New York Stock Exchange.

Application Requirements

Applicants to the doctoral program in electrical and computer engineering 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.

  • Application Fee
  • Resume/CV
  • Personal Statement
  • Transcripts
  • Three letters of recommendation
  • GRE General Test scores are not required
  • Official TOEFL, IELTS, or Duolingo test scores (if applicable)
  • Portfolio (optional)

Tuition and Financial Aid

We recognize that attending graduate school involves a significant financial investment. Our team is here to answer your questions about tuition rates and scholarship opportunities.

Please contact us at gradadmissions@tufts.edu.

Faculty

faculty photo

Thomas Vandervelde

Professor and Chair of Electrical and Computer Engineering
Electrical and Computer Engineering
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.
faculty photo

Shuchin Aeron

Associate Professor
Electrical and Computer Engineering
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
faculty photo

Steven Bell

Assistant Teaching Professor
Electrical and Computer Engineering
Engineering education, embedded systems, camera systems and computational photography
faculty photo

Chorng Chang

Associate Professor
Electrical and Computer Engineering
Computer architecture, parallel processing, computer networking, hardware description languages, simulation and programmable logic design, engineering education.
faculty photo

Dante DeMeo

Research Assistant Professor
Electrical and Computer Engineering
thermophotovoltaics, optoelectronics, energy harvesting, nanofabrication
faculty photo

Marco Donato

Assistant Professor
Electrical and Computer Engineering
emerging technologies, non-volatile memories, SoC design, hardware for machine learning, noise modeling and reliability
faculty photo

Mark Hempstead

Professor
Electrical and Computer Engineering
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
faculty photo

Usman Khan

Professor
Electrical and Computer Engineering
Optimization and Control, Machine Learning, Signal Processing, Graph Theory, Decentralized Algorithms
faculty photo

Valencia Koomson

Associate Professor
Electrical and Computer Engineering
design of silicon-based mixed-mode VLSI systems (analog, digital, RF, optical), analog signal processing, and optoelectronic system-on-chip modeling and integration for applications in optical wireless communication and biomedical imaging
faculty photo

Sunil Kumar

President, Tufts University and Professor, Electrical and Computer Engineering
President's Office
Performance evaluation and control of manufacturing systems, service operations, and communications networks, Optimization methods and control theory
faculty photo

Ron Lasser

Professor of the Practice
Electrical and Computer Engineering
digital image processing, computer animation, swarm robotics, innovation, engineering method & design
faculty photo

Eric Miller

Professor
Electrical and Computer Engineering
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.
faculty photo

Aseema Mohanty

Clare Boothe Luce Assistant Professor
Electrical and Computer Engineering
nanophotonics, optical beam shaping, neuroengineering, chip-scale imaging and microscopy, quantum information systems Research Website: https://sites.tufts.edu/amohanty/
faculty photo

Karen Panetta

Professor and Dean of Graduate Education
Electrical and Computer Engineering
Signal processing; image processing; simulation modeling
faculty photo

Paul Simmonds

Associate Professor
Electrical and Computer Engineering
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
faculty photo

Sameer Sonkusale

Professor
Electrical and Computer Engineering
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
faculty photo

Mai Vu

Professor
Electrical and Computer Engineering
machine learning, applied optimization, wireless communications and networks, 5G/6G systems and techniques

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