Mohammad Hossein Manshaei

I am a Professor of Computer Science at Hunter College and the City University of New York Graduate Center. My research interests include Generative AI for wireless systems and security, game-theoretic modeling in AI systems, network security and IoT, computational biology, AI in finance, and blockchain and cryptocurrency. My work connects theoretical foundations with practical applications in cybersecurity, networking, and intelligent systems.

Prior to joining CUNY, I was a Research Assistant Professor at the University of Arizona and a visiting faculty member at Florida International University. I also served as an Associate Professor at the Isfahan University of Technology, where I led the Game Theory and Mechanism Design Research Laboratory.

Earlier in my career, I was a senior researcher and lecturer at EPFL, led by Prof. Jean-Pierre Hubaux, from 2006 to 2011. I received my B.Sc. in Electrical Engineering (Control) and M.Sc. in Communication Engineering from Isfahan University of Technology, Iran, in 1997 and 2000, respectively. I later obtained an M.S. in Computer Science from the University of Nice Sophia-Antipolis in 2002. After graduating with honors, I was awarded a French government fellowship to pursue my Ph.D. at INRIA, where I completed my doctoral studies in computer networks and distributed systems in 2005 under the supervision of Dr. Thierry Turletti.

News

• March 2026 – Invited to serve on the Program Committee of IEEE CNS 2026.

• Feb 2026 – Our paper MAGE-ID: A Multimodal Generative Framework for Intrusion Detection Systems was accepted at IEEE ICNC 2026.

• November 2025 – Our paper TF-GAN: Topology-Aware Generative Adversarial Network for Financial Time Series Forecasting was accepted at ACM ICAIF 2025.

• June 2025 – Our research project on cybersecurity was awarded funding through a Google Cybersecurity Grant. (Read more)

• May 2025 – Delivered a keynote speech at the S4IoT Conference in Kuwait on Transforming Wireless Networks and IoT Security with Generative AI at the Edge.

• Jan 2025 – Our paper Empowering Persian LLMs for Instruction Following: A Novel Dataset and Training Approach, presented at the Workshop on Language Models for Low-Resource Languages (LoResLM 2025), received the Best Paper Award.