Rate My Professor Farshad Khorrami

Farshad Khorrami is a Professor of Electrical and Computer Engineering at the NYU Tandon School of Engineering and Affiliated Faculty in the Engineering Division at New York University, Abu Dhabi. He received his Bachelor of Science degrees in Mathematics in 1982 and Electrical Engineering in 1984, Master of Science in Mathematics in 1984, and Doctor of Philosophy in Electrical Engineering in 1988, all from The Ohio State University. As Director of the Control/Robotics Research Laboratory, established in 1989, Khorrami has directed extensive research efforts. He is Co-Founder and Co-Director of the Center for Artificial Intelligence and Robotics since 2021 and serves as Co-Primary Investigator at NYU Abu Dhabi's Center for Artificial Intelligence and Robotics, which focuses on AI and robotics applications including multi-agent systems, planning, navigation, perception, deep learning for safety, human-machine interfaces, and more. Khorrami is also a faculty member of the Center for Advanced Technology in Telecommunications.

His research interests include nonlinear control and large-scale systems, robotics and automation, unmanned autonomous vehicles, cybersecurity, machine learning with applications to robotics and cybersecurity, multi-agent systems, and cyber-physical systems security. An IEEE Fellow, Khorrami has authored key works such as the book Modeling and Adaptive Nonlinear Control of Electric Motors (Springer, 2003, with P. Krishnamurthy and H. Melkote), Decentralized adaptive control of a class of large-scale interconnected nonlinear systems (IEEE Transactions on Automatic Control, 1997, with S. Jain), A dynamic high-gain design for prescribed-time regulation of nonlinear systems (Automatica, 2020, with P. Krishnamurthy and M. Krstic), and Cybersecurity for control systems: A process-aware perspective (IEEE Design & Test, 2016, with P. Krishnamurthy and R. Karri). He holds 15 issued US patents and has led funded projects including the TRAPS initiative from the U.S. Department of Energy ($1.94 million), EnIGMA AI agent for cybersecurity (presented at ICML 2025), and Ransomware 3.0 research, supported by NSF, Army Research Office, and NYU Abu Dhabi centers.