职称：助理教授
研究方向：边缘智能与分布式机器学习、AI原生无线网络、多模态智能计算、通信感知与计算一体化研究，以及在智慧出行、智能交通和工业自动化中的应用
Email：qiaomhan@fyust.edu.cn
韩俏梅，女，福耀科技大学计算与人工智能学院助理教授，2025年获加拿大西安大略大学电气与计算机工程专业博士学位。研究方向包括边缘智能与分布式机器学习、AI原生无线网络、多模态智能计算、通信感知与计算一体化研究，以及在智慧出行、智能交通和工业自动化中的应用。相关成果发表于 IEEE Transactions on Mobile Computing、IEEE INFOCOM、IEEE ICC 等国际高水平期刊和会议。曾在西安大略大学承担《实时嵌入式系统》《控制系统》《网络：原理、协议与体系结构》等课程的助教工作，并担任IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, Expert Systems With Applications, Knowledge-Based Systems等国际期刊审稿人。
教育背景
2025年6月, 加拿大西安大略大学, 博士;
2020年6月, 大连理工大学, 硕士;
2017年6月, 大连理工大学, 学士。
科研相关工作经历
2026-02至今，福耀科技大学，计算与人工智能学院，助理教授。
已发表学术论文
[1]. Q. Han, X. Wang, and W. Shen. "Communication-Dependent Computing Resource Management for Concurrent Task Orchestration in IoT Systems," IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 14297-14312, 2024.
[2]. Q. Han, X. Wang, W. Shen and Y. Shi. "AdaFML: Adaptive Federated Meta Learning with Multi-Objectives and Context-Awareness in Dynamic Heterogeneous Networks," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 9, no. 2, pp. 1428-1440, 2025.
[3]. Q. Han, X. Wang, W. Shen. "Distributed Link Heterogeneity Exploitation for Attention-Weighted Robust Federated Learning in 6G Networks," in Proceedings of the IEEE Conference on Computer Communications (IEEE INFOCOM), Vancouver, BC, Canada, 2024, pp. 1-6.
[4]. Q. Han, X. Wang, and W. Shen. "Hypergraph-Aided Dynamic Model Splitting in 6G-Enabled Collaborative Edge Computing with Meta Reinforcement Learning," in IEEE International Conference on Communications (IEEE ICC), Montreal, QC, Canada, 2025, pp. 1-6.
[5]. Y. Shi, Q. Han, W. Shen, and X. Wang. "A Multi-Layer Collaboration Framework for Industrial Parks with 5G Vehicle-to-Everything Networks." Engineering, vol. 6, no. 7, pp. 818-831,2021.
[6]. Y. Shi, Q. Han, W. Shen, and H. Zhang. "Potential Applications of 5G Communication Technologies in Collaborative Intelligent Manufacturing." IET Collaborative Intelligent Manufacturing, 2019, 4 (1): 109-116.
[7]. Z. Zhang, Q. Han, Y. Li, Y. Wang, and Y. Shi. "An Evolutionary Multiagent Framework for Multiobjective Optimization," Mathematical Problems in Engineering, vol. 1, pp. 9147649, 2020.
[8]. Y. Shi, N. Lin, Q. Han, T. Zhang, and W. Shen. "A Method for Transportation Planning and Profit Sharing in Collaborative Multi-Carrier Vehicle Routing," Mathematics, vol. 8, no. 10, pp. 1788, 2020.
[9]. J. Gao, X. Zheng, F. Gao, X. Tong, and Q. Han. "Heterogeneous Multitype Fleet Green Vehicle Path Planning of Automated Guided Vehicle with Time Windows in Flexible Manufacturing System, " Machines, vol. 10, no. 3, pp. 197, 2022.
[10]. Y. Shi, Y. Liu, Y. Qi, and Q. Han. "A Control Method with Reinforcement Learning for Urban Un-signalized Intersection in Hybrid Traffic Environment," Sensors, vol. 22, no. 3, pp. 779, 2022.
担任IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, Expert Systems With Applications, Knowledge-Based Systems等国际期刊审稿人。
