巩珍珍
现就职于太原理工大学电子与信息工程学院。博士毕业于北京邮电大学信息与通信工程专业。曾作为访问学者访问弗吉尼亚理工、英国国王学院。研究方向包括智能边缘网络、信息新鲜度以及人工智能算法在物联网中的应用等。 工学博士，讲师
基于信息新鲜度的物联网智能优化研究
2012-2016 燕山大学 本科
2016-2025 北京邮电大学 博士
2026-至今 太原理工大学代表性论文：
1. Stochastic Online Learning for Mobile Edge Computing: Learning from Changes. IEEE Communications Magazine, 2019.
2. UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks. IEEE Internet of Things Journal, 2024
3. Cross-Domain Knowledge Transfer for Sustainable Heterogeneous Industrial Internet-of-Things Networks. Sensors, 2024.
4. Reliability-Guaranteed Uplink Resource Management in Proactive Mobile Networks for Minimal Latency Communications. IEEE Transactions on Wireless Communications, 2022.
5. Lifelong Learning for Minimising Age of Information in Internet of Things Networks. IEEE International Conference onCommunications (ICC), 2021.
6. Deep Reinforcement Learning-Based AoI-Minimal Trajectory Planning in UAV-Assisted Wireless Powered IoT Networks. IEEE Wireless Communications and Networking Conference (WCNC), 2021.
7. Deep Reinforcement Learning-Based Solution for Minimising the Alterable Urgency of Information in UAV-Enabled Industrial IoT Systems. IEEE Global Communications Conference (GLOBECOM), 2023
