Associate Research Fellow at Zhejiang University, China.
Dr. Shipeng Chu is an Associate Research Fellow and Master’s Supervisor at the College of Civil Engineering and Architecture, Zhejiang University, China. He holds a Ph.D. in Municipal Engineering and specializes in water distribution systems, hydraulic modeling, and system optimization. Dr. Chu has published over 30 peer-reviewed journal articles, including 34 SCI-indexed papers in high-impact journals such as Water Research and Water Resources Research. His work is backed by 35 patents and several consultancy projects focusing on smart water management and infrastructure resilience. Dr. Chu’s innovations in water supply pipeline robotics and multi-source system integration are instrumental to smart city development, contributing to urban sustainability, safety, and efficiency. He is a strong candidate for the Smart Cities Award.
🌍 Professional Profile:
Scopus
Google scholar
🏆 Suitability for the Smart Cities Award :
Dr. Shipeng Chu exemplifies innovation and practical impact in the realm of smart urban infrastructure, making him highly suitable for the Smart Cities Award. His research on water distribution systems integrates advanced hydraulic modeling, real-time monitoring, and AI-driven optimization—key technologies for smart city development. With over 30 SCI-indexed publications and 35 patents, Dr. Chu has significantly advanced intelligent water management. His consultancy work includes developing robotic pipeline cleaning systems and multi-source water security frameworks, directly contributing to urban resilience and resource efficiency. By bridging academic research with real-world implementation, Dr. Chu supports the creation of sustainable, adaptive, and smart municipal systems. His work aligns perfectly with the goals of modern smart cities seeking safe, efficient, and scalable infrastructure solutions.
🎓 Education :
Dr. Shipeng Chu earned his Ph.D. in Municipal Engineering from Zhejiang University, where he now serves as Associate Research Fellow and Master’s Supervisor. His academic foundation was built through rigorous training in civil and municipal infrastructure systems, focusing on the challenges of urban water supply, distribution networks, and hydraulic systems optimization. His doctoral work laid the groundwork for the development of innovative solutions in real-time monitoring, demand estimation, and fault detection in water systems—critical components in smart city frameworks. Through interdisciplinary collaboration and technical training, Dr. Chu has continued to expand his knowledge in urban water systems, data-driven modeling, and engineering resilience, making his educational background highly suitable for leading technological innovations in smart urban infrastructure.
🏢 Work Experience :
Dr. Shipeng Chu brings substantial academic and practical experience to the field of smart city water infrastructure. As an Associate Research Fellow at Zhejiang University, he has led and participated in three significant research projects focusing on water supply systems, real-time hydraulic modeling, and system-wide optimization. His industrial consultancy includes the design of robotic solutions for pipeline maintenance and the development of interconnected water supply systems for complex urban environments. With over 30 journal publications and 35 patents, Dr. Chu is recognized for translating research into practice. His collaborative work with government and municipal stakeholders showcases his ability to implement large-scale, smart water management systems, reinforcing his role as a key contributor to sustainable urban development.
🏅 Awards and Honors :
Dr. Shipeng Chu has established himself as a prominent innovator in urban water system engineering. His research has received significant academic recognition, with citations totaling over 280 (Scopus h-index: 11). He has been honored for his contributions to municipal engineering through successful national and municipal research projects. His technological outputs, including 35 published patents, underscore his inventive approach to solving real-world water distribution challenges. Dr. Chu has been invited to contribute to multiple high-impact journals, including Water Research (IF: 11.2) and Water Resources Research. His leadership in consultancy projects aimed at improving water security and smart monitoring systems has further cemented his status as a leading researcher and a valuable nominee for smart city innovation awards.
🔬 Research Focus :
Dr. Shipeng Chu’s research centers on smart water distribution systems, with special emphasis on online hydraulic modeling, real-time nodal demand estimation, and burst detection through sensor cooperation. He is at the forefront of integrating artificial intelligence and adaptive modeling into urban water networks to enhance efficiency, sustainability, and resilience. His recent innovations include robotic systems for pipeline cleaning and multi-source water supply security frameworks. By merging theoretical advancements with practical implementations, Dr. Chu’s work directly supports smart city initiatives by promoting safe, data-driven, and scalable water infrastructure. His research not only improves existing systems but also lays the groundwork for future intelligent water networks, positioning him as a pivotal contributor to the evolution of smart urban environments.
📊 Publication Top Notes:
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Optimized DMA partition to reduce background leakage rate in water distribution networks
Authors: T. Zhang, H. Yao, S. Chu, T. Yu, Y. Shao
Journal: Journal of Water Resources Planning and Management, 147(10), 04021071
Citations: 39
Year: 2021
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Degradation of estriol by chlorination in a pilot-scale water distribution system: Kinetics, pathway and DFT studies
Authors: F. Dong, C. Li, X. Ma, Q. Lin, G. He, S. Chu
Journal: Chemical Engineering Journal, 383, 123187
Citations: 31
Year: 2020
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Leakage localization using pressure sensors and spatial clustering in water distribution systems
Authors: X. Li, S. Chu, T. Zhang, T. Yu, Y. Shao
Journal: Water Supply, 22(1), 1020–1034
Citations: 24
Year: 2022
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Efficient degradation of aqueous carbamazepine by bismuth oxybromide-activated peroxide oxidation
Authors: T. Zhang, S. Chu, J. Li, L. Wang, R. Chen, Y. Shao, X. Liu, M. Ye
Journal: Catalysts, 7(11), 315
Citations: 23
Year: 2017
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An improved genetic algorithm for optimal layout of flow meters and valves in water network partitioning
Authors: Y. Shao, H. Yao, T. Zhang, S. Chu, X. Liu
Journal: Water, 11(5), 1087
Citations: 20
Year: 2019