Biography
Dr. Haobo Dong is an Associate Professor and PhD supervisor at the School of Future Technology, South China University of Technology (SCUT). He received his PhD in Energy Storage Technology from University College London (UCL) and MSc in Aerospace Engineering from Imperial College London. Before joining SCUT, he worked extensively on UK national research programs under the Faraday Institution, EPSRC, and STFC, focusing on intelligent monitoring and safety mechanisms in electrochemical energy systems. His research integrates fiber-optic sensing, ultrasonics, and artificial intelligence to achieve active safety monitoring and predictive diagnostics for next-generation batteries. By coupling in-situ sensing technologies with deep learning models, his group aims to establish digital twin frameworks that enable early fault prediction and autonomous intervention for energy storage systems.
E-mail: dhbhubble@scut.edu.cn
Personal Website
https://www.researchgate.net/profile/Haobo-Dong
Education
2018-2022 PhD in Energy Storage Technology, University College London (UCL), United Kingdom
2014-2018 MSc in Aerospace Engineering, Imperial College London, United Kingdom
Work Experience
2024–Present: Associate Professor & PhD Supervisor, School of Future Technology, SCUT
2018–2023: Research Fellow, Faraday Institution, UCL, and STFC (UK)
Research Interests
Fiber-optic and ultrasonic sensing for active safety monitoring of batteries
Multi-physical-field coupling and in-situ diagnostics for electrochemical systems
Deep learning and data-driven battery lifetime prediction
Digital twin and AI-assisted modeling for intelligent energy storage systems
Structural energy storage composites and hybrid energy systems for low-altitude vehicles
Research Projects
New Hybrid Energy Storage Systems for Building, Vehicle, Charging Station and Grid (Participate, Guangdong Provincial Zhujiang Project, 2024–2029)
Active Safety Monitoring and Ultrasonic Diagnostics for Battery Systems (PI, NSFC, 2026–2028)
Battery Safety and Lifetime Prediction (PI, Science and Technology Projects in Guangzhou, 2024–2026)
Selected Publications
Published over 35 papers in top-tier journals including Nature Communications, Energy & Environmental Science, Advanced Materials, J. Mater. Chem. A, Nanoscale, and ACS Energy Letters.
Proposed a hierarchical “inherent–passive–active” safety framework for electrochemical energy storage systems, integrating intrinsically safe aqueous electrolytes (inherent safety), mechanically and thermally robust gel–polymer separators (passive safety), and fiber–ultrasonic hybrid sensing networks for early fault prediction and active intervention (active safety). This comprehensive strategy establishes a full-process safety paradigm from materials to systems, enabling month-level early warning and dynamic response in large-scale batteries.
Established collaborations with UCL, Imperial College London, and Guangdong New Energy Storage National Research Institute to build an international innovation network for intelligent and safe energy systems.
