Biography

Yuchen Liu is an assistant professor in the Department of Computer Science at NC State University. He received his Ph.D. degree from the Georgia Institute of Technology. His research covers broad areas of networking, AI/machine learning, computing, and communication, spanning wireless networking and systems, mobile computing, machine learning for data and networks, new communication paradigms, optimization and algorithms. Yuchen also seeks to develop novel software and testbeds for the evaluations of computer networks with enhanced efficiency and run-time scalability. All research topics are investigated using theory, algorithms, simulation, and experimental techniques, which aim to increase the intelligence, capacity, and robustness of next-generation network and computer systems that support emerging applications on mobile edges, and enable the freedom experience via untethered and smart connectivity for work, entertainment, social connections, health, etc.

Research Areas

  • Artificial Intelligence and Intelligent Agents
  • Cyber Security
  • Cyber-Physical Systems
  • Networking and Performance Evaluation
  • Scientific and High Performance Computing

Education

PhD, 2022, Georgia Institute of Technology, USA

Awards

  • NVIDIA Academic Grant Program Award (2025)
  • NCSU Carla Savage Award (2025)
  • Best Paper Award Runner-up – IEEE International Performance Computing and Communications Conference (2024)
  • Best Paper Award Runner-up – IEEE/IFIP Networking (2024)
  • Best Paper Award – IEEE International Conference on Computer Communications and Networks (ICCCN) (2023)
  • Best Paper Award – ACM International Symposium on Mobility Management and Wireless Access (MobiWac) (2022)
  • Best Paper Award – IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN) (2022)
  • Best Paper Award Second Place – IEEE Conference on Local Computer Networks (LCN) (2020)
  • Best Paper Award Finalist – ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (MSWiM) (2019)

Publications

Avaliable at Homepage.