World-recognized research across the broad spectrum of electrical and computer engineering while being dedicated to the education and mentoring of undergraduate and graduate students
New University-Wide Research Institutes
Aligned with Northeastern's vision for interdisciplinary, collaborative discovery, the Department of Electrical and Computer Engineering is leading two new university-wide research institutes, including the Institute for the Wireless Internet of Things, and the Institute for Experiential Robotics.
World Renowned Co-op Program
Sofia Vanessa Benitez Quevedo, BS, electrical engineering, completed three co-ops near and far including iRobot as a systems engineer, Flex in California working on emerging tech on the internet of things, and Starry, a start up in Boston using cutting-edge technology for the next generation.
Getting a Competitive Edge on Co-op
Noah Lichtenstein, BS, computer engineering and computer science, says the integrated way of learning and experience with co-op will allow him to jump in to a job when he graduates. So far he’s had a co-op at Starry, an internet startup, and Amazon Robotics as a firmware engineer, and feels this experience will give him a decent leg up.
University Distinguished and William Lincoln Smith Chair Professor Vincent Harris, electrical and computer engineering, has been named a 2020-21 Jefferson Science Fellow.
ECE Professor Miriam Leeser’s paper on “FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks” won Best Paper for the 2020 year in ACM Transactions on Reconfigurable Technology and Systems.
ECE/BioE Professor Eduardo Sontag gave the opening keynote talk on “Some Control Theory Ideas in Systems and Synthetic Biology” virtually at the 2020 European Control Conference at St Petersburg, Russia.
ECE Associate Professor Kaushik Chowdhury, Assistant Professor Pau Closas, Professor Deniz Erdogmus, Professor Tommaso Melodia, and Assistant Professor Yanzhi Wang received $1M funding from DARPA for their project titled Signal Processing in Neural Networks (SPiNN) for Wireless IoT.