范文浩，博士，北京邮电大学电子工程学院，长聘副教授，博士生导师

研究方向：长期致力于信息通信网络资源管控技术研究，近年来重点关注云边端协同网络、边缘智能网络、通感算智融合网络、天地一体化网络、物联网、网络安全等领域

学术成果：在本领域有影响力的学术期刊和会议上发表论文近百篇，其中，以第一、二作者（兼通讯作者）在IEEE Transactions会刊、IoT-J、SCIS等国内外知名学术期刊上发表论文，第一作者论文入选ESI高被引（全球前1%）论文；获授权发明专利五十余项；第一作者于国家级出版社出版专著一部

科研项目：主持/参与国家自然科学基金、国家863计划、国家重点研发计划/国家重大科技专项、国家十三五科技计划、装发预研、广东省扬帆计划/科技计划、北京市自然科学基金联合基金、青海省重点研发与转化计划等国家/省部级项目/课题，以及中国电子科技集团、中国移动、国家电网等校企合作项目；获北邮青年科技创新人才支持计划、青年创新人才培育项目等资助

科研获奖：获2021年度中国电子学会科技进步二等奖，2021年度中国人工智能学会技术发明二等奖，2018年度广东省优秀科技成果奖，2017年度中国电子学会科技进步一等奖

教育教学：担任国家一流本科专业“电子科学与技术”副主任，第三批全国高校黄大年式教师团队成员，承担多项教改项目、高新课程建设项目，担任多项大创项目指导教师；入选2023年中国通信学会硕士学位论文激励计划（原优秀硕士学位论文）指导教师，校级和院级优秀硕士学位论文指导教师；指导研究生多次获国家奖学金，校级优秀毕业生等荣誉

近期学术期刊论文（第一、二作者）：

[1] (TMC) MADRL-Based Model Partitioning, Aggregation Control, and Resource Allocation for Cloud-Edge-Device Collaborative Split Federated Learning, IEEE Transactions on Mobile Computing, 2025. [Link]

[2] (TCC) Joint Adaptive Aggregation and Resource Allocation for Hierarchical Federated Learning Systems Based on Edge-Cloud Collaboration, IEEE Transactions on Cloud Computing, 2025. [Link]

[3] (TMC) Hybrid Deep Reinforcement Learning-Based Task Offloading for D2D-Assisted Cloud-Edge-Device Collaborative Networks, IEEE Transactions on Mobile Computing, 2024. [Link]

[4] (TNSM) MEC Network Slicing: Stackelberg-Game-Based Slice Pricing and Resource Allocation With QoS Guarantee, IEEE Transactions on Network and Service Management, 2024. [Link]

[5] (T-ITS) Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge Computing With Flexible RSU-RSU Cooperation, IEEE Transactions on Intelligent Transportation Systems, 2024. [Link]

[6] (TMC) Time-Slotted Task Offloading and Resource Allocation for Cloud-Edge-End Cooperative Computing Networks, IEEE Transactions on Mobile Computing, 2024. [Link]

[7] (TMC) Blockchain-Secured Task Offloading and Resource Allocation for Cloud-Edge-End Cooperative Networks, IEEE Transactions on Mobile Computing, 2023. [Link]

[8] (IoT-J) Resource Matching for Blockchain-Assisted Edge Computing Networks, IEEE Internet of Things Journal, 2023. [Link]

[9] (T-ITS) Joint Task Offloading and Resource Allocation for Vehicular Edge Computing Based on V2I and V2V Modes, IEEE Transactions on Intelligent Transportation Systems, 2023. [Link]

[10] (TVT) Joint Task Offloading and Resource Allocation for Quality-Aware Edge-Assisted Machine Learning Task Inference, IEEE Transactions on Vehicular Technology, 2023. [Link]

[11] (IoT-J) Joint DNN Partition and Resource Allocation for Task Offloading in Edge-Cloud-Assisted IoT Environments, IEEE Internet of Things Journal, 2023. [Link]

[12] (TVT) Game-Based Task Offloading and Resource Allocation for Vehicular Edge Computing with Edge-Edge Cooperation, IEEE Transactions on Vehicular Technology, 2023. [Link]

[13] (TMC) Collaborative Service Placement, Task Scheduling, and Resource Allocation for Task Offloading with Edge-Cloud Cooperation, IEEE Transactions on Mobile Computing, 2022. [Link]

[14] (TII) DNN Deployment, Task Offloading, and Resource Allocation for Joint Task Inference in IIoT, IEEE Transactions on Industrial Informatics, 2022. [Link]

[15] (IoT-J) Joint Task Offloading and Resource Allocation for Accuracy-Aware Machine-Learning-Based IIoT Applications, IEEE Internet of Things Journal, 2022. [Link]

[16] (TWC) Joint Task Offloading and Service Caching for Multi-Access Edge Computing in WiFi-Cellular Heterogeneous Networks, IEEE Transactions on Wireless Communications, 2022. [Link]

[17] (TVT) Joint Task Offloading and Resource Allocation for Multi-Access Edge Computing Assisted by Parked and Moving Vehicles, IEEE Transactions on Vehicular Technology, 2022. [Link]

[18] (TCC) A Truthful Combinatorial Auction Mechanism towards Mobile Edge Computing in Industrial Internet of Things, IEEE Transactions on Cloud Computing, 2022. [Link]

[19] (TVT) Joint DNN Partition and Resource Allocation Optimization for Energy-Constrained Hierarchical Edge-Cloud Systems, IEEE Transactions on Vehicular Technology, 2022. [Link]

[20] (IoT-J) Game-based Multitype Task Offloading among Mobile-Edge-Computing-Enabled Base Stations, IEEE Internet of Things Journal, 2021. [Link]