Spanning All Sub-disciplines
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
Academic and Research Innovation
Experiential Learning
Experiential learning is the heart of a Northeastern education--in the classroom, in the lab, and in the real-world while on co-op.
BS, MS, and PhD Degrees
Top-Tier Research
Pursue your path alongside highly accomplished faculty across eight research areas and 10-plus ECE-led interdisciplinary research centers and institutes, including some of the most innovative facilities in the nation.
Interdisciplinary Research
Vibrant Community
Join a welcoming and engaged community in the hub of innovation with industry at your fingertips, including the top hospitals in the world, as well as a range of student organizations, and a network of faculty, alumni, and industry professionals.
Student Groups and MoreSpotlight Stories
Fellows of the Association for Computing Machinery
ECE Distinguished/Khoury Professor Yun Raymond Fu and William Lincoln Smith Professor Tommaso Melodia were named Fellows of the Association for Computing Machinery. Fu for contributions to representation learning, computer vision, face and gesture recognition and Melodia for contributions to open radio access network architectures and AI-native wireless networks.
Engineering in Action
Making Notable Advancements in Neuro-Engineering
Spencer Lake Jacobs-Skolik, BS electrical and computer engineering, shares his experience leading research, becoming a published author, and earning a Goldwater Scholarship – all as an undergraduate. Learn how Northeastern University’s College of Engineering provides research opportunities you can’t find anywhere else, and how those experiences prepare passionate students for successful careers.
Co-op for a Wireless World
Sara Garcia Sanchez, PhD, electrical engineering, came to Northeastern University from Spain to study wireless communications in a high-level international environment. In addition to cutting-edge research, her experimental work brought her to a co-op with IBM, studying the use of the extremely high-frequency Millimeter Wave Band for sensing and communication.
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.
Recent News
Sturdier Motion Sensors Built to Survive Shock and Vibration
Research conducted by ECE Associate Professor Cristian Cassella, Assistant Professor Benyamin Davaji, Professor Matteo Rinaldi, and ECE/MIE Professor David Horsley titled “Toward Enhanced Inertial Sensing via Dynamically Soft Topological States in Piezoelectric Microacoustic Metamaterials” was published in Advanced Functional Materials.
Innovative Magnonic Resonator Design Advances Compact and Energy-Efficient Microwave Signal Platforms
ECE Assistant Professor Xufeng Zhang’s research on “Generation of ultra-broadband frequency comb in strongly bistable nonlinear magnonic resonator” was published in Nature Communications.
Trump administration bans Chinese humanoid robots
ECE Professor Ravinder Dahiya was featured in the Fox Live interview “Trump administration bans Chinese humanoid robots.”
Improving Quantum Computing Reliability and Scalability Through Modular Error Correction
ECE Associate Professor Hessam Mahdavifar and COS/ECE Assistant Professor Ivana Dimitrova were awarded a DOE grant for “Hierarchically Coupled Quantum LDPC Codes for Modular Quantum Computing.”