Received multiple NSF grants to develop a programmable wireless architecture, improve the high-performance GPU cluster to support multidisciplinary research and education, and investigate resilient quantum learning systems; published work on integrated cyber-physical resiliency for power grids; presented research on adversarial manipulation of learning in differential games at IEEE CNS; received Distinguished Research Award for junior faculty from Fordham University Research Council.
Research Experience
Serves as an Assistant Professor in the Department of Computer and Information Sciences at Fordham University; is a Fordham-NYU and Fordham-IBM fellow; actively looking for self-motivated PhD students in research projects on trustworthy AI, reinforcement learning, quantum AI, and cyber-physical systems security and resilience.
Education
Received his PhD in Electrical Engineering from New York University (NYU), Tandon School of Engineering in 2020.
Background
Research interests include: Cyber-Physical Systems, Security and Resilience, Game and Decision Theory, Learning and Optimization, AI (e.g., Reinforcement Learning), Quantum AI and Quantum System Security, Smart Energy Systems. Profile: He is an Assistant Professor in the Department of Computer and Information Sciences at Fordham University, and is also affiliated with the Fordham Center for Cybersecurity.
Miscellany
Open to contact from master's and undergraduate students interested in gaining research experience in the areas of AI, smart cities, and cybersecurity.