崔曙光
校长学勤讲座教授
博士(斯坦福大学)
工学硕士(麦克马斯特大学)
工学学士(北京邮电大学)
崔曙光教授,加拿大皇家科学院院士、加拿大工程院院士,全球高被引学者,IEEE Fellow,深圳市杰出人才培养计划首批入选人,深圳市决策咨询委员会成员。崔教授于2005年在美国斯坦福大学获得博士学位,先后在UC Davis等多所美国大学任教至讲座教授。2018年加入香港中文大学(深圳),先后担任理工学院执行院长、校长学勤讲座教授、深圳市未来智联网络研究院院长、港中深-京东集团人工智能联合实验室主任,广东省未来智联网络重点实验室主任。崔教授当前的科研成果主要集中在通信网络与AI技术的深度融合。他已在国际一流期刊和会议上发表了近400篇论文,曾担任多个IEEE国际会议的主席和程序委员会主席,IEEE旗舰期刊的指导委员会成员、主席,IEEE无线技术委员会的主席。他在2012年获得IEEE信号处理协会最佳论文奖,2013年当选IEEE Fellow,2014 年入选IEEE通信协会杰出讲师、汤森路透全球高被引科学家名单、ScienceWatch全球最具影响力科学家名单。 崔教授在2020至2022年还获得IEEE ICC最佳论文奖,IEEE ICIP最佳论文列表,IEEE GLOBECOM最佳论文奖,中国ICT创新应用奖,IEEE WCNC最佳论文奖,CCF Chinagraph首个图形开源数据集奖,中国电子学会自然科学一等奖,中国通信学会技术发明一等奖。在2023年,崔教授获得IEEE马可尼最佳论文奖,IEEE WTC无线技术成就奖,并当选新一届IEEE Transactions on Mobile Computing(CCF-A核心期刊)主编,是中国大陆工作的学者首次担任。在2024年,崔教授荣获2023年度国家自然科学二等奖。
代表性文章:
- M. Chen, H. V. Poor, W. Saad, and S. Cui “Convergence Time Optimization for Federated Learning over Wireless Networks,” IEEE Transactions on Wireless Communications, 2020. (Highly Cited Paper)
- S. Zhang, S. Cui, and Z. Ding, “Hypergraph based Image Processing,” 2020 IEEE International Conference on Image Processing (ICIP), Oct. 2020. (Paper Award Finalist)
- Y. Hu, M. Chen, W. Saad, H. V. Poor, and S. Cui, “Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks,” IEEE GLOBECOM, Taiwan, Dec. 2020. (IEEE Globecom Best Paper Award)
- Y. Ma, Y. Gao, C. Fu, W. Rong, Z. Xiong, and S. Cui, "TV White Space Spectrum Analysis Based on Machine Learning," Journal of Communications and Information Networks, Vol. 4, No. 2, pp. 68-80. Jun. 2019. (Best Paper Award)
- C. Liu, C. Guo, Y. Yang, M. Chen, H. V. Poor, and S. Cui, "Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC\RF Systems,"IEEE Wireless Communications and Networking Conference (WCNC), Nanjing,China, March 2021. (Best Paper Award)
- M. Chen, Z. Yang, W. Saad, C. Yin, H. V. Poor, S. Cui, “A Joint Learning and Communications Framework for Federated Learning over Wireless Networks,” IEEE Transactions on Wireless Communications, 2020. (Marconi Prize Paper Award)
- M. Chen, N. Shlezinger, H. V. Poor, Y. C. Eldar, and S. Cui, "Communication-efficient federated learning," Proceedings: National Academy of Sciences of the United States of America (PNAS), vol. 118, no. 17, Apr. 2021.
- X. Cao, F. Wang, J. Xu, and Shuguang Cui, “Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing,” IEEE Internet of Things Journal, Vol. 6, No. 3, pp. 4188-4200, June 2019. (Highly Cited Paper)
- Z. Wang, L. Liu, S. Cui, “Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis,” IEEE Transactions on Wireless Communications, Vol. 19, No. 10, pp. 6607-6620, Oct. 2020 (Highly Cited Paper)