Faculty and Staff Directory


Or Search By Letter: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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.

Deniz Erdogmus


COE Distinguished Professor, 
Electrical and Computer Engineering

Signal Processing & Machine Learning; Human-Centric Foundational & Physical AI; AI for Health, Quality-of-Life, and Clinical Innovation; AI for Scientific Discovery & Engineered Systems

Ozlem Ergun


COE Distinguished Professor and Associate Chair for Graduate Affairs, 
Mechanical and Industrial Engineering

Network optimization, logistics and transportation, resilient supply chain and infrastructure systems design and operations, health, humanitarian, and emergency response systems, digital platforms

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