Professor Hanxiong LI
PhD-EE(Auckland), ME-EE(TUDelft), BE-Aerospace(NUDT), IEEE Fellow
Chair Professor of Intelligent Manufacturing
Education
| Ph.D | University of Auckland, New Zealand, 1997 |
| M.E. | Delft University of Technology, The Netherlands, 1991 |
| B.E. | National University of Defence Technology, Hunan, China, 1982 |
Working Experience
- Chair professor (2022), Department of ADSE, City University of Hong Kong
- Professor (2008), Associate Professor (2002), Assistant Professor (2000), RAP(1997), Department of MEEM, City University of Hong Kong
- Senior Process Engineer, ASM Assembly Automation Ltd, Hong Kong, 1997
- Research Engineer, University of Auckland, New Zealand (1993-1997)
- Research Associate, Delft University of Technology, The Netherlands (1991-1992)
- Project Manager, China International Trust & Investment Co (CITIC), Beijing, China, (19987-1988)
- Software Engineer, Peking Analysis Center (military service), China, (1982-1987)
Awards & Honor
- Top 2% most highly cited scientists in the world by the Stanford University since 2021
- Featured as “Top 1000 Scientists” according to Top Scientists Ranking for Computer Science & Electronics prepared by Guide2Research in 2020 and 2021
- Outstanding supervisor award, City University of Hong Kong (2017, 2020)
- CityU President’s award for outstanding performance (2016)
- IEEE Fellow (2011)
- Distinguished Expert by China Federation of Returned Overseas （中國僑聯特聘專家） (2011- )
- Distinguished Expert by Hunan Government, China （湖南省特聘專家） (2010- )
- Awarded Distinguished Expert in Thousand Talents Program （千人計劃） (2010-2015)
- Awarded Chang Jiang Scholar （長江學者） by Ministry of Education, China (2006-2009)
- Awarded China National Science Fund for Distinguished Young Scholars （海外傑青） in 2004
Professional Members and Service
- Associate Editor, IEEE Transactions on Systems, Man & Cybernetics - systems, (2016- )
- Associate Editor, IEEE Transactions on Systems, Man & Cybernetics - part B, (2002-2016)
- Associate Editor, IEEE Transactions on Industrial Electronics (2009-2015)
- Editorial board, Control Engineering (2004- )
- Editorial board, Frontiers of Mechanical Engineering in China (2008- )
Research Experience and Accomplishment
Recent Grant
Research Impact Fund: “Integrative Study on Needleless (Wire) Electrospinning for Massive Production”, (R1040-25F), $4,529,860, 7/2026 - 7/2029
Books
- Feng Y, Li HX and Wang YN (2026) Spatio-Temporal Abnormality Diagnosis for Industrial Distributed Parameter Systems-Model-based and Data-driven Perspectives, Springer, ISBN: 978-981-95-3749-5
- Li HX & Lu XJ (2014), System Design and Control Integration for Advanced Manufacturing, John Wiley & Sons, Inc, October 2014, ISBN: 978-1-118-82226-5
- Li, H.X. & Qi CK (2011), Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems, Springer, ISBN: 978-94-007-0740-5
Representative papers in the past 10 years
- Zhao YR, Li HX & Feng Y (2026) “Residual-Enhanced Fuzzy State-Space Modeling for Real-Time Temperature Monitoring of Battery Thermal Processes”, IEEE Transactions on Transportation Electrification, 12(1), 1666-1675
- Liang TY & Li HX (2025) “Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data”, IEEE Transactions on Pattern Analysis & Machine Intelligence, 47(8), 6215-6227
- Deng HP & Li HX (2024) “Physics-Informed Spatial Fuzzy System and Its Applications in Modeling”, IEEE Trans on Fuzzy Systems, 32(10), 5951-5962
- Wei P & Li HX (2023) "Spatiotemporal Entropy for Abnormality Detection and Localization of Li-ion Battery Packs", IEEE Transactions on Industrial Electronics, 7(12), 12851-12859
- Zhang X, Li HX & Chung Henry, (2022) “Setup-Independent Sensing Architecture With Multiple UHF RFID Sensor Tags”, IEEE Internet of Things Journal, 9(2), 1243-1251
- Zhou Y, Li HX, Deng H, & Xie SL (2021), “Dual Separation-based Spatio-temporal Modeling Methodology for Battery Thermal Process Under Non-homogeneous Boundary Conditions”, IEEE Transactions on Transportation Electrification, 7(4), 2260-2268
- Wang Z, Li HX & Chen CL (2020) “Reinforcement Learning-Based Optimal Sensor Placement for Spatiotemporal Modeling”, IEEE transactions on cybernetics, 50(6), 2861-2871
- Wang Z & Li HX (2019) “Incremental Spatiotemporal Learning for Online Modeling of Distributed Parameter Systems”, IEEE Transactions on Systems, Man and Cybernetics: Systems, 49(12), 2612-2622
- Shan XY, Li HX, et al (2018) “Integrated sensing/model based online estimation of jet dispensing”, IEEE Trans. on Components, Packaging and Manufacturing Technology, 8(2), 300-309
- Li HX & Shi HT (2017), “Control for intelligent manufacturing- a multiscale challenge”, Engineering, 3(5), 608-615
- Li HX, Wang Y & Zhang G (2017) “Probabilistic Fuzzy Classification for Stochastic Data”, IEEE Transactions on Fuzzy Systems, 25(6), 1391-1402
- Xiao TF & Li HX (2017) “Eigenspectrum-Based Iterative Learning Control for a Class of Distributed Parameter System”, IEEE Transactions on Automatic Control, 62(2), 824-836
- Wang ML, Li HX, Chen X & Chen Y (2016) "Deep Learning based Model Reduction for Distributed Parameter Systems", IEEE Transactions on Systems, Man and Cybernetics: Systems, 46(12), 1664-1674
- Liu Z & Li HX (2015), “Extreme learning machine based spatiotemporal modeling of Lithium-ion battery thermal dynamics”, Journal of Power Sources, 277(12), 228-238
- Li HX & Qi CK (2010) “Modeling of Distributed Parameter Systems for Applications - A Synthesized Review from Time-Space Separation”, Journal of Process Control, 20(8), 891-901
Last modified on 28 April, 2026