Liang Zhang

Dr. Liang Zhang is an Assistant Professor in the Department of Engineering and Aviation Sciences at the University of Maryland Eastern Shore (UMES). He holds a Ph.D. in Electrical Engineering from New Jersey Institute of Technology (NJIT) and an M.S. in Information and Communication Engineering from the University of Science and Technology of China (USTC). His research focuses on machine learning, mobile edge computing, UAV communications, wireless communications, and IoT, with an emphasis on resource optimization and algorithm design.

Education:

• Ph.D., Electrical and Computer Engineering, NJIT (2014–2020)
• M.S., Information and Communication Engineering, USTC (2011–2014)
• B.S., Electronic Science and Technology, Huazhong University of Science and Technology (HUST)

Research Highlights:

Dr. Zhang has pioneered work on deep reinforcement learning algorithms for UAV-assisted edge computing, caching optimization, and latency reduction in IoT systems. His contributions include the BRIDGES testbed project at George Mason University (GMU), supported by a $2.5M NSF grant, and the development of QoE-optimized frameworks for wireless VR and airborne networks.

Awards & Recognition:

• Outstanding Dissertation Award (NJIT, 2023)
• Hashimoto Prize (NJIT, 2020)
• IEEE GLOBECOM Travel Grant (2016)
• Best Paper Award (IEEE ICNC, 2014)

Professional Contributions:

He has published 32 peer-reviewed articles and serves as a reviewer for IEEE journals. His work integrates machine learning with networking challenges, addressing practical issues like spectrum sharing in 5G, energy-efficient VM management, and dynamic resource allocation in optical networks.