Mingyan Liu Mingyan Liu is the Alice L. Hunt Collegiate Professor of Engineering and Associate Dean for Academic Affairs at the University of Michigan's College of Engineering. He holds a joint appointment in the Department of Electrical Engineering and Computer Science (EECS). His research focuses on cybersecurity, optimal resource allocation, incentive design, and network performance modeling, with emphasis on strategic interactions in cyber-physical systems. Liu has pioneered work on cyber insurance mechanisms, adversarial machine learning, and federated learning security. Education B.S. in Electrical Engineering, Nanjing University of Aeronautics and Astronautics, China (1995) M.S. in Systems Engineering, University of Maryland, College Park (1997) Ph.D. in Electrical Engineering, University of Maryland, College Park (2000) Research Highlights Liu's research group has developed technologies commercialized through QuadMetrics, Inc. (acquired by FICO), creating the first global enterprise cybersecurity ratings system. His work bridges game theory, machine learning, and network science to address challenges in cyber risk quantification, incentive mechanisms for secure software development, and fair AI systems. Awards & Recognition Awarded the NSF CAREER Award (2002), multiple Crosby Research Awards (2003, 2014), IEEE Fellow (201?), and best paper awards at IPSN (2012) and DSAA (2014). His book *Embracing Risk: Cyber Insurance as an Incentive Mechanism for Cybersecurity* (2021) synthesizes his theoretical and applied work in cybersecurity economics. Professional Contributions Liu served on editorial boards of IEEE/ACM Transactions on Networking and ACM Transactions on Sensor Networks. His current efforts include MURI projects on AI-driven edge networks and NSF-funded work on federated learning privacy frameworks.









