于浩，工学博士，现任杭州市北京航空航天大学国际创新研究院准聘副教授。

主要研究方向

确定性网络，非陆地网络，6G网络，边缘智能，时间敏感网络

主要科研项目

ACCORION（EU H2020), CHRITY (EU H2020), 6G SANDBOX (EU SNS), 6G PATH (EU SNS)

发表论文

Journal 期刊论文：

1. C. Yang, H. Yu*, Y. Zheng, L. Feng, R. Ala-Laurinaho, K. Tammi, "A digital twin-driven industrial context-aware system: A case study of overhead crane operation," Journal of Manufacturing Systems, Volume 78, 2025, Pages 394-409.

2. M. Shokrnezhad, H. Yu, T. Taleb, R. Li, K. Lee, J. Song, "Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC)," in IEEE Network, 2024. (Early Access)

3. C. Yang, H. Yu*, Q. Guo, T. Taleb, J. C. Requena and K. Tammi, "Deterministic Networking Empowered Robotic Teleoperation," in IEEE Network, 2024. (early access)

4. H. Yu, T. Taleb, K. Samdanis and J. Song, "Towards Supporting Holographic Services over Deterministic 6G Integrated Terrestrial & Non-Terrestrial Networks," in IEEE Network, vol. 38, no. 1, pp. 262-271, Jan. 2024. (影响因子 : 9.3, 中科院二区)

5. C. Wang, H. Yu*, X. Li, F. Ma, X. Wang, T. Taleb, and V. C. M. Leung, "Dependency-Aware Microservice Deployment for Edge Computing: A Deep Reinforcement Learning Approach with Network Representation," in IEEE Trans. on Mobile Computing, early access, 2024. (IF: 7.7, 中科院二区Top期刊)

6. K. Dong, H. Yu*, V. Sergiy, and T. Taleb, “Beamforming Design for Integrated Sensing, Computation Over-the-Air, and Communication in Internet of Robotic Things”, in IEEE Internet of Things Journal, 2024, early access. (IF: 8.2, 中科院一区Top期刊)

7. Ming Zhao, Hao Yu*, and Tarik Taleb, "Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6G Mobile Networks," in IEEE Trans. on Mobile Computing, early access, 2024. (IF: 7.7, 中科院二区Top期刊)

8. Y. He, G. Han, A. Li, T. Taleb, C. Wang and H. Yu, "A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks," in IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 5150-5161, May 2024. (影响因子: 7.9, 中科院二区)

9. Y. Chen, Y. Sun, H. Yu and T. Taleb, "Joint Task and Computing Resource Allocation in Distributed Edge Computing Systems via Multi-Agent Deep Reinforcement Learning," in IEEE Transactions on Network Science and Engineering, vol. 11, no. 4, pp. 3479-3494, July-Aug. 2024. (影响因子 : 6.6, 中科院二区)

10. F. Liu, H. Yu, J. Huang, and T. Taleb, “Joint Service Migration and Resource Allocation in Edge IoT System Based on Deep Reinforcement Learning,” in IEEE Internet of Things Journal, vol. 11, no. 7, pp. 11341-11352, 1 April1, 2024. (IF: 8.2, 中科院一区Top期刊)

11. R. Wang, J. Zhang, S. Yan, C. Zeng, H. Yu, Z. Gu, B. Zhang, T. Taleb, and Y. Ji, "Suspect fault screen assisted graph aggregation network for intra-/inter-node failure localization in ROADM-based optical networks," IEEE/OSA Journal of Optical Communications and Networking, vol. 15, C88-C99 (2023). (影响因子: 5, 中科院二区Top期刊)
    

12. H. Yu, T. Taleb and J. Zhang, "Deep Reinforcement Learning-Based Deterministic Routing and Scheduling for Mixed-Criticality Flows," in IEEE Transactions on Industrial Informatics, vol. 19, no. 8, pp. 8806-8816, Aug. 2023. (影响因子: 12.3, CCF C, 中科院一区Top期刊)

13. H. Yu, M. Shokrnezhad, T. Taleb, R. Li, and J. Song, "Towards 6G-based Metaverse: Supporting Highly-Dynamic Deterministic Multi-User Extended Reality Services," in IEEE Network, vol. 37, no. 4, pp. 30-38, July/August 2023. (影响因子 : 9.3, 中科院二区)

14. Q. Guo, R. Gu, H. Yu, T. Taleb, and Y. Ji, "Probabilistic-Assured Resource Provisioning with Customizable Hybrid Isolation for Vertical Industrial Slicing," in IEEE Transactions on Network and Service Management, vol. 20, no. 2, pp. 1660-1675, June 2023. (影响因子: 5.3, 中科院二区)

15. H. Yu, T. Taleb and J. Zhang, "Deterministic Latency/Jitter-Aware Service Function Chaining Over Beyond 5G Edge Fabric," in IEEE Transactions on Network and Service Management, vol. 19, no. 3, pp. 2148-2162, Sept. 2022. (影响因子 : 5.3, CCF C, 中科院二区)

16. H. Yu, T. Taleb, J. Zhang and H. Wang, "Deterministic Latency Bounded Network Slice Deployment in IP-Over-WDM Based Metro-Aggregation Networks," in IEEE Transactions on Network Science and Engineering, vol. 9, no. 2, pp. 596-607, 1 March-April 2022. (影响因子 : 6.6, 中科院二区)

17. H. Yu, F. Musumeci, J. Zhang, M. Tornatore, L. Bai and Y. Ji, "Dynamic 5G RAN slice adjustment and migration based on traffic prediction in WDM metro-aggregation networks," in IEEE/OSA Journal of Optical Communications and Networking, vol. 12, no. 12, pp. 403-413, December 2020. (IF: 5, 中科院一区Top期刊)

18. H. Yu, F. Musumeci, J. Zhang, M. Tornatore and Y. Ji, "Isolation-Aware 5G RAN Slice Mapping Over WDM Metro-Aggregation Networks," in IEEE/OSA Journal of Lightwave Technology, vol. 38, no. 6, pp. 1125-1137, 15 March15, 2020. (影响因子 : 4.7, 中科院二区)

Conference 会议论文：

1. Q. Guo, Z. Ming, H. Yu, Y. Chen, and T. Taleb, “Profit-Aware Proactive Slicing Resource Provisioning with Traffic Uncertainty in Multi-Tenant FlexE-over-WDM Networks”, in Proc. IEEE ICC, Denver, CO, USA, Jun. 2024.

2. Z. Ming, H. Yu, and T. Taleb, “User Request Provisioning Oriented Slice Anomaly Prediction and Resource Allocation in 6G Networks”, in Proc. IEEE ICC, Denver, CO, USA, Jun. 2024.

3. Y. Chen, H. Yu, Q. Guo, S. Zhao, and T. Taleb “Dynamic Edge AI Service Management and Adaptation via Off-Policy Meta-Reinforcement Learning and Digital Twin”, in Proc. IEEE ICC, Denver, CO, USA, Jun. 2024.

4. H. Yu, Z. Ming, C. Wang, T. Taleb, "Network Slice Mobility for 6G Networks by Exploiting User and Network Prediction," in Proceeding of ICC 2023, Roma, Italy, 2023.

5. C. Wang, B. Jia, H. Yu, X. Li, X. Wang, and T. Taleb, “Deep Reinforcement Learning for Dependency-aware Microservice Deployment in Edge Computing,” GLOBECOM 2022, Rio de Janeiro, Brazil, 2022, pp. 5141-5146.

6. C. Wang, B. Jia, H. Yu, L. Chen, K. Cheng, and X. Wang, “Attention-aided Federated Learning for Dependency-Aware Collaborative Task Allocation in Edge-Assisted Smart Grid Scenarios,” 2022 IEEE/CIC International Conference on Communications in China (ICCC), Sanshui, Foshan, China, 2022, pp. 856-861.

7. C. Su, J. Zhang, H. Yu, T. Taleb and Y. Ji, "Time-Aware Deterministic Bandwidth Allocation Scheme for Industrial TDM-PON," 2022 European Conference on Optical Communication (ECOC), Basel, Switzerland, 2022, pp. 1-4.

8. H. Ma, J. Zhang, Z. Gu, H. Yu, T. Taleb and Y. Ji, "DeepDefrag: Spatio-Temporal Defragmentation of Time-Varying Virtual Networks in Computing Power Network based on Model-Assisted Reinforcement Learning," 2022 European Conference on Optical Communication (ECOC), Basel, Switzerland, 2022, pp. 1-4.

9. H. Yu, T. Taleb and J. Zhang, "Deterministic Service Function Chaining over Beyond 5G Edge Fabric," 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 1-6.

10. H. Yu, F. Musumeci, Y. Xiao, J. Zhang, M. Tornatore and Y. Ji, "DU/CU Placement for C-RAN over Optical Metro-Aggregation Networks," 2019 IEEE Optical Networking Design and Modelling, Athens, 2019.

11. H. Yu, J. Zhang, M. Tornatore and Y. Ji, "Energy-Efficient Lightpath Reconfiguration in a Decomposed-AWGR-Based Passive WDM Fronthaul," 2018 European Conference on Optical Communication (ECOC), Rome, 2018, pp. 1-3.

12. H. Yu, J. Zhang, D. Song, X. Huang, Y. Ji, Demonstration of Lightpath Reconfiguration for BBU Aggregation in the SDN-Enabled Optical Fronthaul Networks, 2017 European Conference on Optical Communication (ECOC), M.2.A.4, Sep. 2017.

个人主页

Google Scholar

• [1]. 2011.9 -- 2015.6

  北京邮电大学       信息与通信工程       本科(学士)       学士学位

• [2]. 2016.9 -- 2020.10

  北京邮电大学       信息与通信工程       研究生(博士)毕业       博士学位

• [1]. 2024.1 -- 2024.12

  ICTFicial Oy, Finland      高级研究员

• [2]. 2022.1 -- 2023.12

  奥卢大学      无线通信中心（CWC-NS）      博士后研究员

• [3]. 2021.1 -- 2021.12

  阿尔托大学      电子信息工程      博士后研究员