Department Directory
8 Items found
Najme Ebrahimi
Assistant Professor,
Electrical and Computer Engineering Broadband, energy-efficient, reconfigurable, and high data rate RF, mm-wave, and THz integrated circuits and systems; and security, connectivity, and localization of IoTs
Yonina Eldar
Professor and Joseph E. Aoun Chair,
Electrical and Computer Engineering Our research focuses on building radically resource-aware sensing systems that sense only what matters - systems that diagnose, monitor, protect, and connect. By uniting physics, hardware, signal processing, and artificial intelligence, our group develops intelligent, interpretable, and sustainable sensing technologies that improve human life and strengthen security.
This vision, which we call Green Intelligence, seeks to redefine the relationship between information, energy, and purpose: sensing not for maximal data, but for maximal insight and information.
Our group conducts research at the intersection of artificial intelligence, sensing, signal processing, and biomedical engineering, with a strong emphasis on real-world impact in healthcare, communications, and defense.
Ehsan Elhamifar
Affiliated Faculty,
Electrical and Computer Engineering - e.elhamifar@northeastern.edu
- 617.373.6535
Deniz Erdogmus
COE Distinguished Professor,
Electrical and Computer Engineering Statistical signal and image analysis, machine learning, neural interfaces, biomedical data analysis, human-intent inference for CPS
- D.Erdogmus@northeastern.edu
- 617.373.3021
Ozlem Ergun
COE Distinguished Professor and Associate Chair for Graduate Affairs,
Mechanical and Industrial Engineering Design and management of large-scale networks, supply chain design and resilience, collaboration and crowdsourcing in logistics, humanitarian logistics
- o.ergun@northeastern.edu
- 617.373.6254
Michael Everett
Assistant Professor,
jointly appointed in Electrical and Computer Engineering & Khoury College of Computer Sciences Robotics, motion planning, control theory, neural network verification, reinforcement learning