Li Xiao

Roles & Affiliations: Professor at Michigan State University's Department of Computer Science and Engineering (CSE), College of Engineering. Member of the Experimental Laboratory for Advanced Networking and Systems (eLANS).
Education: Ph.D. in Computer Science, College of William and Mary (2002).

Research Interests: Distributed systems, wireless networks (including sensor/mesh networks), cognitive radio networks, system resource management, experimental algorithms, and security. Current projects focus on wireless systems design, AI-enhanced networks, and security vulnerabilities in wireless systems.

Publications: Over 100 peer-reviewed papers in top venues like INFOCOM, MobiCom, and IEEE Transactions. Recent work focuses on adversarial attacks in audio systems, 5G/4G vulnerabilities, and novel wireless protocols. Key contributions include security frameworks for cellular emergency services and neural network-based demodulation techniques.

Awards: Best Paper Awards at Sensys 2021 and CCS 2022, AT&T Security Award (2022). Recognized for innovative work in network security and system design.

Grants & Labs: Funded by NSF, DARPA, NIH, and industry partners (Microsoft, IBM). Leads eLANS lab focused on both theoretical advancements and practical deployments in wireless systems.