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.
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.
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.
Professor and Chair of 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.
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
Precision microwave, millimeter, terahertz, and submillimeter wave, far-infrared, and infrared wave measurement techniques and instrumentation; millimeter and submillimeter wave sources, detectors, and systems; solid, liquid, and gaseous state physics, spectroscopy, material characterization and studies, complex dielectric permittivity, and complex magnetic permeability measurements of dielectric and magnetic materials; and 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.
Assistant Teaching Professor
Engineering education, embedded systems, camera systems and computational photography
Computer architecture, parallel processing, computer networking, hardware description languages, simulation and programmable logic design, engineering education.
Research Assistant Professor
thermophotovoltaics, optoelectronics, energy harvesting, nanofabrication
emerging technologies, non-volatile memories, SoC design, hardware for machine learning, noise modeling and reliability
Research Assistant Professor
Electronic Materials; Semiconductor Materials; Semiconductor Devices; Materials Characterization; Thin-film Deposition; Optical Properties Electronic Materials; Photonic Materials; Nanofabrication; Electron Microscopy
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
microwave circuit design for microplasma generation, microplasma-based environmental sensors and other microsystem applications, plasma diagnostic methods, characterization, and modeling
Optimization and Control, Machine Learning, Signal Processing, Graph Theory, Decentralized Algorithms
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
Professor of the Practice
digital image processing, computer animation, swarm robotics, innovation, engineering method & design
Signal and image processing, tomographic image formation and object characterization, inverse problems, regularization, statistical signal and imaging processing, and computational physical modeling. Applications explored include medical imaging and image analysis, environmental monitoring and remediation, landmine and unexploded ordnance remediation, and automatic target detection and classification.
Clare Boothe Luce Assistant Professor
nanophotonics, optical beam shaping, neuroengineering, chip-scale imaging and microscopy, quantum information systems
Research Website: https://sites.tufts.edu/amohanty/
Professor and Dean of Graduate Education
Signal processing; image processing; simulation modeling
Flexible bioelectronics, Biomedical microdevices, 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, active metamaterial devices, circuits, and systems, terahertz devices and circuits
Alvin H. Howell Endowed Professor in Electrical Engineering
modeling, control, and estimation in electric energy processing, power electronics, power systems, and electric drives
wireless communications, millimeter wave communications, 5G/6G systems and techniques, energy-efficient communications, machine learning techniques, applied convex optimization