Rate My Professor Farshad Khorrami

Farshad Khorrami is a Professor of Electrical and Computer Engineering at NYU Tandon School of Engineering and serves as Affiliated Faculty in the Engineering Division at New York University, Abu Dhabi. He received his Doctor of Philosophy in Electrical Engineering from The Ohio State University in 1988, Master of Science in Mathematics in 1984, Bachelor of Science in Electrical Engineering in 1984, and Bachelor of Science in Mathematics in 1982, all from The Ohio State University. Joining New York University in September 1988 as an assistant professor in the Department of Electrical and Computer Engineering, he progressed to full professor. Khorrami is an IEEE Fellow, recognized for contributions to adaptive nonlinear control and large-scale systems. He directs the Control/Robotics Research Laboratory (CRRL) at NYU Tandon and is co-founder and co-director of the Center for Artificial Intelligence and Robotics (CAIR) at NYU Abu Dhabi since 2021, alongside principal investigators Anthony Tzes and Yann LeCun. CAIR focuses on AI and robotics research in areas such as multi-agent systems, planning and navigation, deep learning for safety and resiliency, and human-machine interfaces.

Khorrami's research interests encompass nonlinear control and large-scale systems, robotics and automation, unmanned autonomous vehicles, cyber-physical systems security, machine learning applications to robotics and cybersecurity, and multi-agent systems. He authored the book Modeling and Adaptive Nonlinear Control of Electric Motors with P. Krishnamurthy and H. Melkote, published by Springer in 2003. Khorrami holds 15 issued US patents and has led funded projects including the $1.94 million U.S. Department of Energy grant for the Tracking Real-time Anomalies in Power Systems (TRAPS) project in 2022, as well as grants from the National Science Foundation, Army Research Office, and others. Recent contributions include the Ransomware 3.0 paper on self-composing and LLM-orchestrated ransomware (arXiv, 2025) and the EnIGMA AI agent for autonomous cybersecurity challenge-solving, presented at the International Conference on Machine Learning (ICML) 2025. His work advances resilient autonomous systems and cybersecurity in critical infrastructure.