深圳技术大学人工智能学院助理教授，2024年博士毕业于不列颠哥伦比亚大学，曾在三星北美研究院和华为诺亚方舟实验室（加拿大） 从事研究工作。研究兴趣涵盖分布式学习、深度强化学习、移动边缘计算网络资源调度、以及生物医学影像处理，重点探索 AI 原生 6G 网络、联邦学习调度、隐私保护与大模型高效推理等方向。

欢迎对大语言模型、强化学习、分布式系统、边缘智能等主题感兴趣的学生、博士后、合作学者或产业伙伴联系(mamanyou@sztu.edu.cn)，共同开展研究、论文合作或应用落地项目。

Hello, my name is Manyou Ma. I am currently an assistant professor at the School of Big Data and Internet, Shenzhen Technology University. I received my Ph.D. in 2024 from the University of British Columbia (UBC). My research interests include distributed learning, deep reinforcement learning, network resource allocation for mobile edge computing, and biomedical imaging. For more information, please visit my GitHub page manyouma.github.io.

一、教育经历

2018 - 2024，加拿大不列颠哥伦比亚大学（UBC），博士

2014 - 2015，加拿大不列颠哥伦比亚大学（UBC），硕士

2009– 2013，加拿大麦吉尔大学（McGill University），学士

二、工作经历

2025/06 - 至今，深圳技术大学，助理教授

2024/10 - 2025/06，华为加拿大研究院诺亚方舟实验室，高级研究员

2021/07 - 2022/01，三星北美研究院蒙特利尔AI中心，实习生

2020/02– 2021/07，加拿大罗杰斯通信公司，实习生

三、主要研究领域

分布式学习，深度强化学习，移动边缘计算网络资源调度，生物医学影像

四、 主要成果

[1] M. Ma, V. W.S. Wong, and R. Schober, “Channel-aware Joint AoI and Diversity Optimization for Client Scheduling in Federated Learning with Non-IID Datasets,’’ IEEE Transactions on Wireless Communications, vol. 23, no. 6, pp. 6295–6311, Jun. 2024 (中科院一区top).

[2] M. Ma and V. W.S. Wong, “Age of Information Driven Cache Content Update Scheduling for Dynamic Contents in Heterogeneous Networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 12, pp. 8427–8441, Dec. 2020 (中科院一区top).

[3] M. Ma and V.W.S. Wong and R. Schober, “AoI-Driven Client Scheduling for Federated Learning: A Lagrangian Index Approach,” Proc. of IEEE International Conference on Communications (ICC), Rome, Italy, May 2023.

[4] M. Ma and D. Wu and Y. Xu and J. Li and S. Jang and X. Liu and G. Dudek, “Coordinated Load Balancing in Mobile Edge Computing Network: a Multi-Agent DRL Approach,” Proc. of IEEE International Conference on Communications (ICC), Seoul, Korea, May 2022.

[5] M. Ma, R. Rohling, and L. Lampe, “Speed of sound estimation for dual-stage virtual source ultrasound beamforming using point scatterers,” in Proc. of SPIE Medical Imaging, Orlando, Florida, USA, Feb. 2017.