个人简介：
冉泳屹，男，工学博士，重庆邮电大学副教授、文峰青年百人，博士/硕士生导师。分别于2008年和2014年在中国科学技术大学获得学士和博士学位。2014年至2016年在中国科学技术大学任职博士后研究员，2016年至2017年在美国马萨诸塞大学洛厄尔分校任职博士后研究员，2017年至2019年在新加坡南洋理工大学任职Research Fellow。主要研究方向为深度强化学习、随机优化与控制、卫星互联网、绿色数据中心、热管理与节能等。在IEEE/ACM权威期刊和会议IEEE TSC、IEEE TPDS、IEEE TVT、IEEE Globecom、IEEE ICC、IEEE ICDCS等上发表论文40余篇，英文专著章节1章，中文译著1本，拥有已授权发明专利7项，获得3次国际期刊/会议最佳论文奖。主持国家自然科学基金区域联合重点项目课题、国家自然科学基金青年基金、重庆市自然科学基金面上项目、重庆市教委科学技术研究计划青年项目、重庆市“留创计划”项目、中国博士后科学基金面上项目等科研项目。担任智能通信与复杂软件系统重庆市高校工程研究中心副主任、重庆市电子学会人工智能专委会委员。担任多个国际会议Chair，如ICCC 2025 Special Session Chair、WCSP 2025 Symposium Chair、IEEE CIT Workshop Chair等，长期担任IEEE JSAC、IEEE TWC、IEEE TCOM、IEEE TSC、IEEE TMM等国际知名期刊审稿人。入选2021年重庆市留学人员回国创业创新支持计划和2022年度第八批苏州市苏州湾科技领军人才。指导学生获得中国国际大学生创新大赛(原互联网+)产业赛道市赛金奖2项、国赛铜奖2项，蓝桥杯国赛二等奖、三等奖2项等。
博/硕士招生（通信学院）：
[1]. 博士生：0810 信息与通信工程（学术博士）
[2]. 硕士生：0810 信息与通信工程（学术硕士）；085402 通信工程（含宽带网络、移动通信等）（专业硕士）
招生要求：
[1]. 掌握至少一门编程语言：Python、Matlab、C语言等
[2]. 修读过相关课程：线性代数、概率统计、机器学习等
[3]. 良好的英语基础，能够阅读英文文献，有一定的写作功底
[4]. 加分项：本科成绩优异；开朗、积极、沟通能力强；参加过ACM竞赛、数模建模等
教育经历：
[1]. 2008.9-2014.6 中国科学技术大学 | 工学博士学位
[2]. 2004.9-2008.6 中国科学技术大学 | 工学学士学位
工作经历：
[1]. 2019.2-2020.12 新加坡南洋理工大学 | Research Fellow
[2]. 2017.8-2018.8 美国马萨诸塞大学Lowell分校 | Postdoctoral Research Associate
[3]. 2014.7-2016.8 中国科学技术大学 | 博士后
科研项目：
[1]. 国家自然科学基金, 区域联合重点项目，计算、存储、传输一体化的未来智能网络研究，2024-01至 2027-12，在研，课题主持
[2]. 国家自然科学基金，青年基金，融合数字孪生的数据中心能耗建模与优化，2021-01至2023-12，结题，主持
[3]. 重庆市教委科学技术研究计划，青年项目，融合超分辨率的卫星视联网超高清视频传输优化研究，2025-07至2028-06，在研，主持
[4]. 重庆市自然科学基金，面上项目，基于多视角图神经网络的卫星星座动态路由机制研究， 2021-07 至 2024-06，结题，主持
[5]. 重庆市“留创计划”，创新资助(启动)，基于参数化强化学习的数据中心节能机制研究，2021年度，结题，主持
[6]. 中国移动横向项目，数据中心大数据平台，2020-11至2023-11，结题，主持
[7]. 马上消费经融横向项目，智慧视频弱网视频传输质量优化，2023-8至2024-2，结题，主持
[8]. 重庆邮电大学启动基金，面向低轨卫星的高效组网与内容分发机制研究，2020-09 至 2023-09，在研，主持
[9]. 博士后面上基金一等资助，未来网络中多媒体自适应传输建模与控制，2015-10至2017-05，结题，主持
教改项目：
[1]. 重庆市教委一般项目，新工科背景下垂直领域大模型创新创业人才培养模式探索，2025-07至2027- 06，在研，主持
[2]. 重庆市教委一般项目，面向数字信息通信技术( DICT)产业创新创业能力培养的课程建设与教学方法改革，2024-07至2026-06，在研，主研（排名2）
[3]. 重庆邮电大学一般项目，生成式 AI 干扰下程序设计类课程教学评价体系改革与实践，2025-08至2027- 07，在研，主持
期刊论文（部分，*表示通信作者）：
[1]. Yongyi Ran, Hui Yin, Tongyao Sun, Xin Zhou, Jiangtao Luo and Shuangwu Chen, "D3T: Dual-Timescale Optimization of Task Scheduling and Thermal Management for Energy Efficient Geo-Distributed Data Centers," in IEEE Transactions on Parallel and Distributed Systems, vol. 37, no. 1, pp. 230-246, Jan. 2026. (中科院一区)
[2]. Tao Zhang, Yuxing Wei, Dong Jin, Shuangwu Chen, Yongyi Ran and Xiaobin Tan, "FAESR: Fine-Grained Rate Adaptation for Energy-Aware Super Resolution in Mobile Panoramic Video Streaming," in IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 1451-1465, 2026. (中科院一区TOP)
[3]. Tianwen Zhu, Yongyi Ran, Xin Zhou and Yonggang Wen, "A Survey on Intelligent Predictive Maintenance (IPdM) in the Era of Fully Connected Intelligence," in IEEE Communications Surveys & Tutorials, vol. 28, pp. 633-671, 2026. (中科院一区TOP)
[4]. Feng Tan, Xue Li, Yunlong Luo, Yongyi Ran and Jiangtao Luo, "Neighboring-Satellite Beam Coordination Framework Based on Satellite Autonomous Control," in IEEE Internet of Things Journal, vol. 12, no. 19, pp. 39939-39954, 1 Oct.1, 2025. (中科院二区TOP)
[5]. Feng Tan, Xue Li, Yongyi Ran and Jiangtao Luo, "Cooperative Beam Management for Neighboring LEO Satellites Without Ground Control," in IEEE Transactions on Vehicular Technology, vol. 74, no. 12, pp. 19843-19848, Dec. 2025. (中科院二区)
[6]. Ruili Zhao, Jun Cai, Jiangtao Luo, Junpeng Gao and Yongyi Ran, "Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin Empowered LEO Satellite Networks," in IEEE Transactions on Wireless Communications, vol. 24, no. 6, pp. 5084-5098, June 2025. (中科院一区TOP)
[7]. Yongyi Ran, Yajie Ding, Shuangwu Chen, Jizhao Lei and Jiangtao Luo, "Fully-Distributed Dynamic Packet Routing for LEO Satellite Networks: A GNN-Enhanced Multi-Agent Reinforcement Learning Approach," in IEEE Transactions on Vehicular Technology, vol. 74, no. 3, pp. 5229-5234, March 2025. (中科院二区)
[8]. Yongyi Ran, Feng Tan, Shuangwu Chen, Jizhao Lei and Jiangtao Luo, "Towards Beam Hopping and Power Allocation in Multi-Beam Satellite Systems with Parameterized Reinforcement Learning," in IEEE Transactions on Vehicular Technology, vol. 73, no. 9, pp. 14050-14055, Sept. 2024. (中科院二区TOP)
[9]. Yongyi Ran, Han Hu, Yonggang Wen and Xin Zhou, "Optimizing Energy Efficiency for Data Center Via Parameterized Deep Reinforcement Learning," in IEEE Transactions on Services Computing, vol. 16, no. 2, pp. 1310-1323, 1 March-April 2023. (中科院一区)
[10]. Yongyi Ran, Xin Zhou, Han Hu and Yonggang Wen, "Optimizing Data Centre Energy Efficiency via Event-Driven Deep Reinforcement Learning," in IEEE Transactions on Services Computing, vol. 16, no. 2, pp. 1296-1309, 1 March-April 2023. (中科院一区)
[11]. Guoliang Xu, Feng Tan, Yongyi Ran*, Yanyun Zhao and Jiangtao Luo, "Joint Beam-Hopping Scheduling and Coverage Control in Multibeam Satellite Systems," in IEEE Wireless Communications Letters, vol. 12, no. 2, pp. 267-271, Feb. 2023. (中科院二区)
[12]. Junxia Wang, Jiangtao Luo, Yongyi Ran*, Junchao Yang, Kai Liu and Song Guo, "Towards Predictive Forwarding Strategy in Vehicular Named Data Networking," in IEEE Transactions on Vehicular Technology, vol. 72, no. 3, pp. 3751-3763, March 2023. (中科院二区TOP)
[13]. Guoliang Xu, Yanyun Zhao, Yongyi Ran*, Ruili Zhao and Jiangtao Luo, "Spatial Location Aided Fully-Distributed Dynamic Routing for Large-Scale LEO Satellite Networks," in IEEE Communications Letters, vol. 26, no. 12, pp. 3034-3038, Dec. 2022. (中科院三区)
[14]. Yongyi Ran, Jian Yang, Shuben Zhang, Hongsheng Xi, "Dynamic IaaS Computing Resource Provisioning Strategy with QoS Constraint," in IEEE Transactions on Services Computing, vol. 10, no. 2, pp. 190-202, March-April 1, 2017. (中科院一区)
会议论文：
[1]. Qinghua Li, Qichen Liu, Yongyi Ran*, Tongyao Sun, Shuangwu Chen and Jiangtao Luo, "DeepCCHP: Intelligent Comprehensive Optimization of Energy Consumption and Carbon Emission for Data Center CCHP Systems," 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE 2024), Shanghai, China, 2024, pp. 1451-1459, 2024.
[2]. Yue Li, Jiangtao Luo, Yongyi Ran and J. Pi, "DeepISL: Joint Optimization of LEO Inter-Satellite Link Planning and Power Allocation via Parameterized Deep Reinforcement Learning," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, pp. 3977-3982, 2023.
[3]. Wenshu Huang, Yongyi Ran*, J. Rao, J. Luo and S. Chen, "Queue-Learning-Based QoE Optimization for Super-Resolution-Assisted Adaptive Video Streaming," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, pp. 140-145, 2023.
[4]. Yongyi Ran, Tao Zhang, Wenshu Huang, Shaohua Xia, and Jiangtao Luo. "ISAW: Intelligent Super-Resolution-Assisted Adaptive WebRTC Video Streaming," in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking (MobiCom 2023). Association for Computing Machinery, New York, NY, USA, Article 101, 1–3, 2023.
[5]. Guoliang Xu, Yanyun Zhao, Yongyi Ran*, Ruili Zhao and Jiangtao Luo, "Towards Spatial Location Aided Fully-Distributed Dynamic Routing for LEO Satellite Networks," GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, pp. 1570-1575, 2022.
[6]. Ruili Zhao, Yongyi Ran*, Jiangtao Luo and Shuangwu Chen, "Towards Coverage-Aware Cooperative Video Caching in LEO Satellite Networks, " GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 1893-1898, 2022.
[7]. Jiahao Pi, Yongyi Ran*, Hao Wang, Yanyun Zhao, Ruili Zhao and Jiangtao Luo, "Dynamic Planning of Inter-Plane Inter-Satellite Links in LEO Satellite Networks," ICC 2022 - IEEE International Conference on Communications, pp. 3070-3075, 2022.
[8]. Hao Wang, Yongyi Ran*, Lei Zhao, Junxia Wang, Jiangtao Luo and Tao Zhang, "GRouting: Dynamic Routing for LEO Satellite Networks with Graph-based Deep Reinforcement Learning," 2021 4th International Conference on Hot Information-Centric Networking (HotICN), pp. 123-128, 2021.
[9]. Lei Zhao; Yongyi Ran*; Hao Wang; Junxia Wang; Jiangtao Luo; Towards Cooperative Caching for Vehicular Networks with Multi-level Federated Reinforcement Learning, 2021 IEEE International Conference on Communications (ICC 2021), Montreal, Canada, 2021.
[10]. Yongyi Ran, Han Hu, Xin Zhou and Yonggang Wen, DeepEE: Joint Optimization of Job Scheduling and Cooling Control for Data Center Energy Efficiency Using Deep Reinforcement Learning [C]. In the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019), Dallas, U.S. 2019.
[11]. Yongyi Ran, Xiaoban Wu, Peilong Li, Chen Xu, Yan Luo, and Liang-Min Wang. Equery: Enable event-driven declarative queries in programmable network measurement. In IEEE/IFIP Network Operations and Management Symposium (NOMS’18), Taipei, Taiwan, April 2018.
[12]. Yongyi Ran, X. Wu, P. Li, and Y. Luo, "Dynamic Virtual Measurement Function Scheduling in Software-oriented Measurement Environment," in IEEE ICC 2017 SAC Symposium SDN \& NFV Track (ICC'17 SAC-11 SDN\&NFV), Paris, France, pp. 3207-3212, May 2017.
[13]. Yongyi Ran, Bowen Yang, Weizhe Cai, Jian Yang, Hongsheng Xi “Cost-Efficient Provisioning Strategy for Multiple Services in Distributed Clouds”, 2016 International Conference on Cloud Computing Research and Innovation (ICCCRI 2016), Singapore, 2016. (最佳论文奖)
授权发明专利：
[1]. 一种基于多智能体强化学习的多数据中心协同节能方法，冉泳屹，汪昊，雒江涛，赵雷，胡一健，中国，ZL2021103 33237.1
[2]. 多层联邦深度强化学习的车联边缘协作缓存方法及系统, 冉泳屹，赵雷，雒江涛，李灵，中国，ZL2021103 07403.0.
[3]. 一种基于网内缓存和逐跳确认的可靠组播方法，冉泳屹，杨坚，林远龙，岳阳，孙龙，杨博文，奚宏生，专利号：ZL201510130232.3
[4]. 一种基于CFD构建数据中心数字孪生体的方法及系统，冉泳屹，赵雷，雒江涛，汪昊，胡一健，中国，ZL202110129584.2
[5]. 一种基于多智能体强化学习的LEO星间链路的动态规划方法，冉泳屹， 皮嘉豪，李沁钰， 雒江涛，中国，ZL202210536205.6
[6]. 基于队列学习和超分辨率的超高清视频传输系统与方法, 冉泳屹, 黄文舒, 雒江涛, 中国，ZL202210736122.1
[7]. 一种低轨卫星网络能效感知路由优化方法和系统，冉泳屹，李粤，雒江涛，中国，ZL202210779907.7
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