معرفی
Mushu Li is an Assistant Professor in the Department of Computer Science and Engineering at Lehigh University, specializing in machine learning for communications and networking, intelligent IoT, and next-generation wireless networks. She holds a Ph.D. in Electrical and Computer Engineering from the University of Waterloo (2021), an M.A.Sc. from Toronto Metropolitan University, and a B.Eng. from the University of Ontario Institute of Technology.
Education:
- Ph.D., Electrical and Computer Engineering, University of Waterloo
- M.A.Sc., Electrical and Computer Engineering, Toronto Metropolitan University
- B.Eng., Electrical Engineering, University of Ontario Institute of Technology
Research Interests: Her work focuses on AI-driven networking, edge computing, 6G systems, and digital twin technology. Key areas include resource management in cooperative networks, quality-of-experience optimization for XR services, and secure-edge AI frameworks. Her contributions address challenges in wireless communication efficiency, IoT integration, and autonomous systems.
Publications Trends: Recent work emphasizes digital twin applications for resource allocation, edge AI for real-time systems, and 6G infrastructure innovations. Over 15 articles (2023–2025) explore themes like QoE-aware video streaming, federated learning optimization, and autonomous vehicle networking.
Awards: No awards explicitly listed in the provided text.
Advising & Grants: While no specific grants or advisees are mentioned, her research portfolio suggests active engagement in collaborative projects involving industry and academic partners. Grant details may be available via her lab or institutional portals.
Labs/Teams: Not explicitly detailed here, but her work aligns with Lehigh’s research groups in edge computing and wireless networks.
