基本信息

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王瑞坤，北京邮电大学博士（信息与通信工程专业），青岛科技大学副教授，主持青岛市自然科学基金青年项目1项，参与国家重点研发计划课题/青年科学家项目/国家自然科学基金面上项目等多个项目；在国内外高水平学术期刊和重要学术会议发表论文20余篇。

学习研究经历

• 2015/09–2019/06  青岛农业大学，理学与信息科学技术学院，通信工程专业，学士

• 2019/09–2024/11  北京邮电大学，信息与通信工程学院，信息与通信工程专业，博士

• 2023/03–2024/05  米兰理工大学，电子、信息与生物工程系，信息工程专业，国家公派联合培养博士

• 2025/01 - 至今    青岛科技大学，信息科学技术学院，副教授

主要研究方向

人工智能、通信网络、海洋/水下通信等。欢迎通信、信息、计算机、人工智能等专业通信报考课题组研究生，每年招生计算机科学与技术（学硕）和电子信息（专硕）1-2名。

获奖及荣誉称号

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代表性奖项

• 2024.11，北京邮电大学优秀博士学位论文奖（1/1）

• 2023.10，European Conference on Optical Communications (ECOC)最佳学生论文奖提名（1/7）

• 2024.11，Asia Communications and Photonics Conference (ACP) 最佳论文奖（4/6）

教科研项目

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• 青岛市自然科学基金青年项目，高维度ROADM光网络中故障分析模型与定位技术研究，2025/07-2027/06，10万元，在研，主持

论文论著专利

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代表性论文

期刊论文

[1] R. Wang, Q. Zhang, J. Zhang, Z. Gu, M. Ibrahimi, H. Yu, B. Zhang, F. Musumeci, Y. Ji and M. Tornatore,“Multi-Failure Localization in High-Degree ROADM-based Optical Networks using Rules-Informed Neural Networks,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 5, pp. 1738-1754, May 2025.

[2] Q. Zhang, O. Ayoub, R. Wang*, E. Viadana, F. Musumeci, and M. Tornatore, “Survivable Virtual Network Mapping against Double-Link Failures Based on Virtual Network Capacity Sharing and Spare Slice Sharing,” IEEE Transactions on Network and Service Management, 2025. 【*corresponding author】

[3] R. Wang, Z. Gu, J. Zhang, M. Ibrahimi, B. Zhang, F. Musumeci, M. Tornatore and Y. Ji, “Digital-Twin-assisted Meta Learning for Failure Localization in ROADM-based Optical Networks,” IEEE/OSA Journal of Optical Communications and Networking, vol. 16, no. 7, pp. C11-C19, July 2024.

[4] 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, no. 7, pp. C88-C99, July 2023.

[5] R. Wang, J. Zhang, Z. Gu, S. Yan, Y. Xiao and Y. Ji, “Edge-enhanced graph neural network for DU-CU placement and lightpath provision in X-Haul networks,” IEEE/OSA Journal of Optical Communications and Networking, vol. 14, no. 10, pp. 828-839, October 2022.

会议论文

[6] R. Wang, J. Zhang, Q. Zhang, B. Zhang, Z. Gu, A. Attarpour, Y. Ji, and M. Tornatore. 2024. Poster: Flexible Scheduling of Network and Computing Resources for Distributed AI Tasks. In ACM SIGCOMM 2024 Conference (ACM SIGCOMM’24), August 4–8, 2024, Sydney, NSW, Australia. ACM, Sydney, NSW, Australia.

[7] R. Wang, J. Zhang, M. Ibrahimi, Z. Gu, Y. Xiao, F. Musumeci, M. Tornatore, and Y. Ji, “Network for AI: Communication-Efficient Federated Learning with MST-based Scheduling and Multi-Aggregation over Optical Networks,” 2024 Optical Fiber Communications Conference and Exhibition (OFC), San Diego, CA, USA, 2024.

[8] R. Wang, J. Zhang, F. Musumeci, B. Zhang, Z. Gu, M. Tornatore and Y. Ji,“Meta-Learning-based Failure Localization with Digital-Twin-enabled Multi-Mirror Models in Optical Networks,” 2023 European Conference on Optical Communication (ECOC),Glasgow, Scotland, 2023.

[9] R. Wang, J. Zhang, S. Yan, C. Zeng, H. Yu, Z. Gu, B. Zhang, T. Taleb, and Y. Ji,“Suspect Fault Screening Assisted Graph Aggregation Network for Intra-/Inter-Node Failure Localization in ROADM-based Optical Networks,”2022 European Conference on Optical Communication (ECOC), Basel, Switzerland, 2022.

[10] R. Wang, J. Zhang, Z. Gu, Z. Chen and Y. Ji,“Neural Architecture Search-enabled Deep Reinforcement Learning for Slice Deployment in a Converged Optical-Wireless Access Network,” 2021 Asia Communications and Photonics Conference (ACP), Shanghai, China, 2021.

特邀报告

[11] 王瑞坤，“高维度光交换的细粒度故障定位技术”，光通信技术与光学信息处理及应用学术会议，南通，江苏，2025 年 4 月 11 日.

[12] R. Wang,“AI-Driven Optical Networks: From Traditional Machine Learning to Emerging Large AI Models”, 16th International Conference on Information Optics and Photonics (CIOP 2025), Xian, China, 10-14 August, 2025. (Incoming, 25 min Invited Talk)