Lin Gao (高林)
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Lin Gao
Professor
IEEE Senior Member (2016)
Email: gaol[at]hit.edu.cn or gaolin021[at]hotmail.com My Profiles: [IEEEXplore], [Google Scholar], [CV] Homepage: http://faculty.hitsz.edu.cn/gaolin |
Lin Gao (S'08-M'10-SM'16) is a Full Professor at Harbin Institute of Technology, Shenzhen, China. He received Ph.D. degree in Electronic Engineering (Advisors: Prof. Xinbing Wang and Prof. Youyun Xu) from Shanghai Jiao Tong University (SJTU) in 2010, and worked as a Postdoc Research Fellow (Advisor: Prof. Jianwei Huang) in the Network Communications and Economics Lab (NCEL) at The Chinese University of Hong Kong (CUHK) during 2010-2015. He received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2016. His main research interests are in the interdisciplinary area between game theory and AI, with applications in wireless communications, mobile computing, and networking. Openings: We have openings for both Postdoc researchers and PhD students in the interdisciplinary research of mobile computing, artificial intelligence, and game theory. Research topics include but are not limited to Artificial General Intelligence (AGI), Large Language Models (LLM), Mobile Edge Computing (MEC), Deep Reinforcement Learning (DRL), Federated Learning (FL), and Game Theory. |
Recent News
- New [2025.08] The book "Mobile Data Services Embracing Flexibility in Time, Location, and User Identity" is published at Springer Briefs in Computer Science, Springer.
- New [2025.07] The paper "An Overlapping Coalition Game Approach for Collaborative Block Mining and Edge Task Offloading in MEC-assisted Blockchain Networks" is accepted by IEEE Transactions on Mobile Computing (TMC).
- New [2025.05] The paper "Spectral Co-Clustering Based Wireless Network Decomposition for Resource Scheduling" received the Best Paper Award of IEEE WiOpt 2025.
- New [2025.04] The paper "QoE-Aware Offloading and Resource Allocation for MEC-Empowered AIGC Services" is accepted by IEEE Transactions on Mobile Computing (TMC).
- New [2025.04] The paper "An Overview on Economic Analysis of Internet of Everything" is accepted by IEEE Communications Surveys and Tutorials (IF:46.7).
- More News ...