王睿航

研究领域
信息物理系统 (Cyber-Physical System)， 科学机器学习（SciML）， 数字孪生（Digital Twin）， 数据中心（Data Center）

研究概况
本人博士毕业于新加坡南洋理工大学，拥有“计算机-物理”交叉学科教育背景，专注研究物理AI赋能信息物理系统（如智算数据中心）智能化管理。本人已在相关领域的多个顶级会议和期刊发表数十篇论文，研究成果在学术界分别获得 2025 ACM SIGEnergy 博士论文奖，2022年国际信息物理系统大会（IEEE/ACM ICCPS）最佳论文提名奖，技术方案在业界被多个数据中心采纳。

研究课题
新加坡国家基金委：DCWiz：数据中心数字化转型的云AI平台，2021.06-2024.11，参与
新加坡国家基金委：绿色云服务，2024.03-2027.03，参与
     奖励与荣誉
1、国际计算机协会ACM SIGEnergy，优秀博士论文奖，2025
2、第13届国际信息物理系统大会（ACM/IEEE ICCPS），最佳论文提名奖，2022
3、优秀硕士论文奖，天津大学，2019

学术成果
      1. 会议论文：
Minghao Li, Ruihang Wang, Rui Tan, Yonggang Wen. Phythesis: Physics-Guided Evolutionary Industrial Scene Synthesis for Data Center Design via LLMs. The 17th ACM International Conference on Future and Sustainable Energy Systems (e-Energy), June 22-25, 2026, Banff, Canada. Inaugural ACM Sustainability Week.
Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan. Phyllis: Physics-Informed Lifelong ReinforcementLearning for Data Center Cooling Control. The 14th ACM International Conference on Future Energy Systems} (e-Energy) June 20-23, 2023, Orlando, Florida, USA. ACM FCRC 2023.DO1: 10.1145/3575813.3595189.
Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen, Rui Tan. Toward Model-Assisted Safe Reinforcement Learningfor Data Center Cooling Control: A Lyapunov-based Approach. The 14th ACiM International Conference on Future EnergySystems (e-Energy), June 20-23, 2023, Orlando, Florida, USA. ACM FCRC 2023. DO1: 10.1145/3575813.3597343.
Zhiwei Cao, Ruihang Wang, Xin Zhou, and Yonggang Wen. Reducio: Model Reduction for Data Center Predictive DigitalTwins via Physics-Guided Machine Learning. The 9th AC International Conference on Systems for Energy-Eficient Buildings, Cities, and Transportation (BuildSys), Nov 6-9, 2022, Boston, USA. DOl: 10.1145/3563357.3564050
Ruihang Wang, Xinyi Zhang, Xin Zhou, Yonggang Wen, Rui Tan. Toward Physics-Guided Safe Deep Reinforcement Learnincfor Green Data Center Cooling Control. The 13th ACM/lEEE International Conference on Cyber-Physical systems (lCCPs)May 4-6, 2022, Milan, ltaly. Dol: 10.1109/1CCPS54341.2022.00021.(Acceptance ratio: 25/88=28%) [ToP 4 Best Paper Award Finalist]
Ruihang Wang, Xin zZhou, Linsen Dong, Yonggang Wen, Rui Tan, Li chen, Guan Wang, Feng Zeng. Kalibre: Knowledge.based Neural Surrogate Model Calibration for Data Center Digital Twins. The 7th ACM international Conference onSystems for Energy-Efficient Built Environments (BuildSys), November 16-19, 2020, Yokohama, Japan. DOl.10.1145/3408308.3427982

2.期刊论文：
Qingang Zhang, Wenjun Long, Ruihang Wang, Zhiwei Cao, Zhaoyang Wang, Yuejun Yan, Yonggang Wen. CAPER: Dual-Level Physics-Data Fusion with Modular Metamodels for Reliable Generalization in Predictive Digital Twins. Applied Energy, Volume 398, 15 November 2025. DOl:https://doi.org/10.1016/japenergy.2025.126393126393.
Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen, Rui Tan. Adaptive Capacity Provisioning for Carbon-Aware Data Centers: A Digital Twin-based Approach. lEEE Transactions on Sustainable Computing (lEEE TSUSC). Accepted, in press.
Ruihang Wang, Deneng Xia, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan. Green Data Center Cooling Control via Physics-Guided Safe Reinforcement Learning, ACM Transactions on Cyber-Physical Systems (ACM TCPS). Vol. 8, No. 2, Article No: 1, pp.1-26, May 2024. DOl: 10.1145/3582577
Ruihang Wang, Deneng Xia, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan. Toward Data Center Digital Twins via Knowledge-Based Model Calibration and Reduction, ACM Transactions on Modeling and Computer Simulation (ACM TOMACS). Vol. 33, No.4, Article No: 11, pp.1-24, 0ctober 2023. DOl: 10.1145/3604283
Xin Zhou, Ruihang Wang, Yonggang Wen, Rui Tan. Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning. lEEE Network. Vo. 35, No.6, pp.255-262, November/December 2021. DOl.10.1109/MNET.011.2100101.
Ruihang Wang, jing Zhao, Ye Sun, Hui Yu, Ning Zhou, Hongxia Zhang, Dagong Jia. Wearable Respiration Monitoring using an In-line Few-mode Fiber Mach-Zehnder Interferometric Sensor. Biomedical Optics Express, Vol. 11, No. 1, pp316-329, January 2020.DOl: 10.1364/BOE.376782