陶梅霞特聘教授

址:SEIEE Building 5-301A

话:+862134207494

箱:mxtao@sjtu.edu.cn

研究中心:无线通信技术研究所

个人主页:http://iwct.sjtu.edu.cn/personal/mxtao/index.html

个人简介

特聘教授、博导, 国家杰青,IEEE Fellow,长期从事无线通信与网络的基础理论和前沿技术研究。1999年获复旦大学电子工程系学士学位,2003年获香港科技大学电子电气工程系博士学位。曾于2004-2007年在新加坡国立大学电子与计算机工程系先后担任教员和助理教授。2008起加入上海交通大学。近年主要研究通信、计算和AI的深度融合。共发表IEEE期刊论文120余篇、国际会议论文140余篇。获上海市自然科学一等奖、IEEE通信学会马可尼论文奖、IEEE通信学会海因里希赫兹论文奖、IEEE/CIC ICCC 2015及WCSP 2022、2012最佳论文等奖励。获上海市巾帼创新领军人物、中国电子学会十佳优秀科技工作者、上海市五一劳动奖章、IEEE通信学会亚太区杰出青年研究者等荣誉称号多次担任IEEE Trans. on Wireless Communications、IEEE Trans. on Communications、IEEE Journal of Selected Areas in Communications, IEEE Communications Letters、IEEE Communications Magazine等期刊的编委或客座编委。目前是IEEE TWC指导委员会成员、中国电子学会信息论分会副主任委员。主持科技部重点研发计划课题、基金委重点、面上等项目。

研究领域
无线通信与网络
研究方向


边缘智能、语义通信、通感算一体化、多天线、智能信道建模


获奖情况

- IEEE WCSP 2022 Best Paper Award
- IEEE Fellow 2019
- IEEE ComSoC Marconi Prize Paper Award 2019
- IEEE ComSoC Hertz Prize Paper Award 2013
- IEEE/CIC  ICCC 2015 Best Paper Award
- IEEE WCSP 2012 Best Paper Award


- 上海市巾帼创新领军人物(上海市三八红旗手标兵)2022

- 上海市自然科学一等奖(排名第一) 2021

- 中国电子学会十佳优秀科技工作者 2021

- 中国电子学会科技奖(自然科学)二等奖 2018

- 上海高校青年教师教学竞赛工科组一等奖 2014

- 上海市教育系统巾帼建功标兵 2013


授课
EST3306 通信原理 (全英文授课),国家级一流本科课程,负责人

科研项目
  1. 国家自然科学基金委员会, 重点项目, 62431014, 低空信道智能建模与预测推理, 2025-01 至 2029-12,主持
  2. 国家自然科学基金委员会, 国家杰出青年科学基金, 62125108, 移动计算通信融合网络, 2022-01-01 至 2026-12-31, 主持
  3. 国家自然科学基金委员会, 专项项目, 61941106, 空地一体化无线信息网络与通信融合信息理论研究, 2020-01-01 至 2022-12-31, 参与
  4. 国家重点研究计划项目, 2020YFB1406802, 基于广播网与5G移动网融合的额超高清全媒体内容协同分发关键技术研究, 2020-11 至 2023-10, 主持
学术兼职
重要论文
  1. Meixia Tao, Yong Zhou, Yuanming Shi, Jianmin Lu, Shuguang Cui, Jianhua Lu, and Khaled B. Letaief, "Federated Edge Learning for 6G: Foundations, Methodologies, and Applications," Proceedings of the IEEE,  2024, DOI 10.1109/JPROC.2024.3509739.
  2. Yiqiu Wang, Meixia Tao, Shu Sun, "Cramér-Rao Bound Analysis and Beamforming Design for Integrated Sensing and Communication with Extended Targets," IEEE Trans. Wireless Commu. 2024 DOI 10.1109/TWC.2024.3435864
  3. Tong Wu, Zhiyong Chen, Dazhi He, Liang Qian, Yin Xu, Meixa Tao, and Wenjun Zhang, “CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,” IEEE Trans. Wireless Commu., vol. 23, no. 9, Sept 2024
  4. Yufei Bo, Yiheng Duan, Shuo Shao, and Meixia Tao, “Joint Coding-Modulation for Digital Semantic Communications via Variational Autoencoder,” IEEE Trans. Communications, vol. 72, no. 9, Sept. 2024
  5. Xuan Zhang, Shu Sun, Meixia Tao, Qin Huang, and Xiaohu Tang, “Multi-satellite cooperative networks: joint hybrid beamforming and user scheduling design”, IEEE Trans. Wireless Commu, vol. 23, no. 7, July 2024
  6. Junyi Yang, Weifeng Zhu, Meixia Tao and Shu Sun, “Hierarchical Beam Alignment for Millimeter-Wave Communication Systems: A Deep Learning Approach,” IEEE Transactions on Wireless Communications, vol. 23, no. 4, April 2024
  7. Hongwei Zhang, Shuo Shao, Meixia Tao, Xiaoyan Bi, Khaled B. Letaief, "Deep Learning-Enabled Semantic Communication Systems With Task-Unaware Transmitter and Dynamic Data," IEEE Journal on Selected Areas in Commuications, vol. 41, no. 1, Jan. 2023.
  8. Naifu Zhang and Meixia Tao, "Gradient statistics aware power control for over-the-air federated learning," IEEE Trans. on Wireless Communications, vol. 20, no. 8, Aug. 2021
  9. Zhe Zhang and Meixia Tao, "Deep learning for wireless coded caching with unknown and time-variant content popularity," IEEE Trans. on Wireless Communications, vol. 20, no. 2, Feb. 2021
  10. Meixia Tao, Deniz Gunduz, Fan Xu, and Joan S. Pujol Roig, "Content Caching and Delivery in Wireless Radio Access Networks," IEEE Trans. on Communications, vol. 67, no. 7, July 2019 (Invited Paper)