Research

Research of Intelligent Computing & Networking (ICN) Lab

Areas of Interest

  • AI for network systems, focusing on self-operations of low-power wide area networks, 5G, and next-generation networks using reinforcement learning (RL) algorithms.
  • Green communication systems and networks, aimed at developing energy-efficient IoT solutions for diverse environments such as green buildings, industrial applications, and environmental monitoring systems.
  • Optimal computing and networking, with an emphasis on designing efficient load-balancing algorithms for resource management across cloud computing, edge computing, and quantum computing networks.

Publications

Opening

  • Hiring GRA students: I am currently looking for Master/Ph.D students: willing to work in the area of Cloud Networks, Software Defined Networks, Internet of Things, and Cyber-Physical Systems. If interested, please send your CV to me at alee146@kennesaw.edu.
  • Requirements: (1) A good programming skill with C++, Java, or Python is needed. (2) Knowledge of computer networks is most welcome. (3) Take the MS or Ph.D. thesis model in CS under my supervision.
  • Implementation tools: ns-3 (ns-2), CloudSim, mininet, Opendaylight, OpenStack