个人资料：
姓名：赖俊升
职称：英才教授/博士生导师
学科专业：电气工程
通讯地址：天津大学电气自动化与信息工程学院14教学楼119室
电子信箱： cslai@tju.edu.cn
主要经历：
(1) 2025.06-至今 天津大学 电气自动化与信息工程学院 电气工程系，英才教授，博士生导师
(2) 2024.08-2025.05 英国伦敦大学布鲁内尔电气与电子工程系，长聘副教授，博士生导师
(3) 2020.01-2024.07 英国伦敦大学布鲁内尔电气与电子工程系，长聘助理教授，博士生导师
(4) 2018.03-2019.12 英国利兹大学工程学院，博士后研究员
(5) 2013.10-2018.02 英国牛津大学工程科学系能源与电力组，哲学博士
(6) 06/2016 – 09/2016, 06/2017 – 10/2017 香港理工大学电机及电气工程系，研究助理
(7) 2010.09-2013.07 英国伦敦大学布鲁内尔电气与电子工程系，本科（一等荣誉）
主要研究方向：
(1) 电力市场
(2) 需求侧管理
(3) 交通电气化
(4) 微电网控制与优化
(5) 能源经济技术分析等
主要科研项目：
(1) 2025.06-2028.05国家自然科学基金海外优青项目“智慧城市多微网优化技术研究”，300万，项目负责人
(2) 2023.01-2025.12 国家自然科学基金青年科学基金项目“基于天气画像和地基云图的光伏功率超短期预测研究”, 62206062, 30万，项目负责人
(3) 2021.09-2024.12 英国工程和自然科学研究委员会博士培训合作项目“电动汽车电池-超级电容器管理系统的开发“，2601057，30,000英镑, 项目负责人
(4) 2022.04-2022.07 英国工程和自然科学研究委员会脱碳交通电气化网络（DTE）“理解电动汽车普及过程中多样性提升的挑战与路径”，EP/S032053/1, 9,967英镑，项目共同负责人
(5) 2021.01-2021.12 英国商业、能源及产业战略部绿色复苏挑战基金（Green Recovery Challenge Fund）， “印度城市公共交通及中型公共交通电气化的战略与行动计划”， UKPACTGRCF EUM151 CEPT, 357,122英镑, 项目共同负责人
(6) 2024.05-2025.04 英国研究与创新（UKRI）创新署（Innovate UK）“基于人工智能的智能节能推荐系统”，10097909，69,677英镑，项目共同负责人
(7) 2023.09-2024.09 甲骨文科研基金“面向大规模电动汽车充电的车网互动辅助服务的新型计算平台设计与开发“, 3146375, 12,200英镑，项目负责人
(8) 2023.05-2024.05 IEEE TAB CoS标准协会自由基金“智慧城市锂离子电池安全在线监测与火灾预警的新标准及项目授权申请相关活动,” R11P7 /R12P16, 19,860 美金，项目负责人
(9) 2022.04-2022.12 IEEE TAB CoS标准协会自由基金“IEEE P2814标准及智慧城市项目授权申请相关活动”，R7P1，9,150 美金，项目负责人
(10) 2022.04-2023.03 英国文化教育协会“英国—沙特电动汽车强化教育与研究网络,” 69,375英镑，项目共同负责人
(11) 2021.02-2021.07 英国工程和自然科学研究委员会脱碳交通电气化网络（DTE）, “面向快速充电基础设施与大规模电池储能的配电网优化运行的数据驱动方法”EP/S032053/1, £21,161，项目负责人
顾问服务
· 2022.06-2022.07 OneFusion AI公司“英国未来数据中心规划的能源使用调查与分析”，5,514英镑, 项目负责人
· 2020.10-2020.11 Namene Solar公司“在英国构建并网光伏与电池储能系统的财务模型”，6,166英镑，项目负责人
代表性论著、学术著作：
学术论著：
(1) C. S. Lai, L. L. Lai, and Q. H. Lai, Smart energy for transportation and health in a smart city, Wiley IEEE Press, ISBN 978-1-119-79033-4, 2023.
(2) C. S. Lai, K. F. Tsang, and Y. Wang, Electrification of smart cities, Electronics, MDPI, ISBN: 978-3-0365-3964-5, April 2022. DOI: 10.3390/books978-3-0365-3963-
(3) C. S. Lai and G. Locatelli, “Techno-economic appraisal for large-scale energy storage systems” Prabhansu and N. Kumar, Emerging trends in energy storage systems and industrial applications, Academic Press, ISBN: 978-0-323-90521-3, 2023.
(4) C. S. Lai, “Chapter 2: Techno-economic feasibility analysis and levelized cost of solar photovoltaic electricity,” J. Ren (Editors), Photovoltaic sustainability and management, AIP Publishing, ISBN: 978-0-7354-2312-1, 2021. DOI: 10.1063/9780735423152
(5) C. S. Lai, F. Xu, M. McCulloch and L. L. Lai, "Application of distributed intelligence to industrial demand response," C.-C. Liu, S. McArthur and S.-J. Lee (Editors), Smart grid handbook, Wiley, ISBN: 978-1-118-75548-8, July 2016.
Web of Science 高被引论文（* 通讯作者）
(1) X. Ji, C. S. Lai, G. Zhou, Z. Dong*, D. Qi*, and L. L. Lai, “A flexible memristor model with electronic resistive switching memory behavior and its application in spiking neural network,” IEEE Transactions on NanoBioscience, vol. 22, 2022, p. 52-62. (Sept/Oct 2023, Biology and Biochemistry).
(2) H. Khaloie, F. Vallee, C. S. Lai*, J-F. Toubeau, N. D. Hatziargyriou, “Day-ahead and intraday dispatch of an integrated biomass-concentrated solar system: A multi-objective risk-controlling approach,” IEEE Transactions on Power Systems, vol. 37, 2022 p. 701-714. (Jan/Feb 2022, Engineering).
(3) C. S. Lai, G. Locatelli*, “Economic and financial appraisal of novel large-scale energy storage technologies,” Energy, vol. 214, 2021, p. 118954. (Jan/Feb 2022, Engineering).
(4) C. S. Lai, G. Locatelli*, A. Pimm, X. Wu, L. L. Lai*, “A review on long-term electrical power system modeling with energy storage,” Journal of Cleaner Production, vol. 208, 2021, p. 124298. (Jan/Feb 2022, Engineering).
(5) X. Xu, Y. Jia*, Y. Xu, Z. Xu, S. Chai, C. S. Lai, “A multi-agent reinforcement learning based data-driven method for home energy management,” IEEE Transactions on Smart Grid, vol. 11, 2020, pp. 3201-3211. (May/June 2023, Engineering).
(6) C. S. Lai* and M. D. McCulloch, “Levelized cost of electricity for solar photovoltaic and electrical energy storage,” Applied Energy, vol. 190, 2017, pp. 191-203. (Jan/Feb 2022, Engineering).
学术论文节选：
(1) C. Wang, B. Cheng, X. He, L. Xi, N. Yang, Z. Zhao, C. S. Lai, and L. L. Lai, “Integrated underfrequency load shedding strategy for islanded microgrids integrating multiclass load-relate factors,” IEEE Transactions on Smart Grid, July 2025, DOI: 10.1109/TSG.2025.3586757 (Early Access)
(2) S. Zhou, S. Ni, Y. Han, Z. Dong, and C. S. Lai, “Adaptive electricity consumption forecasting approach for universal environments,” Scientific Reports, 2025, 15 (1), 24400.
(3) C. Wang, Y. Liu, Y. Zhang, L. Xi, N. Yang, Z. Zhao, C. S. Lai, and L. L. Lai, “Strategy for optimizing the bidirectional time-of-use electricity price in multi-microgrids coupled with multilevel games,” Energy, 323, 135731.
(4) C. S. Lai, B. Fong, and L. L. Lai, “Guest editorial: Introduction to the special section on technology management in smart cities infrastructure and applications,” IEEE Engineering Management Review, vol. 53, 2025, pp. 8-11.
(5) F. Huang, T. Chen, X. Zhang, C. Wang, W. Chang, Y. Liu, Z. Zhao, C.S. Lai, and L.L. Lai, “Integrated emergency control strategy for single/three-phase hybrid microgrid group coupling load correlation factors and under-frequency load shedding,” Electric Power Systems Research, 242, 2025, p.111481.
(6) P. Quintanilla*, A. Elhalwagy, L. Duan, S. M. Soltani, C. S. Lai, P. Foroudi, M. N. Huda, and M. Nandy, “Artificial intelligence and robotics in the hydrogen lifecycle: A systematic review,” International Journal of Hydrogen Energy, vol. 113, 2025, pp.801-817.
(7) C. Wang, Y. Liu, Y. Zhang, L. Xi, N. Yang, Z. Zhao, C. S. Lai, and L. L. Lai, “Strategy for optimizing the bidirectional time-of-use electricity price in multi-microgrids coupled with multilevel games,” Energy, vol. 323, 2025, p.135731.
(8) Y. Yuan, Y. Wang, and C. S. Lai, “Multi-attribute data-driven flight departure delay prediction for airport system using deep learning method,” Aerospace, vol. 12, 2025, p.246.
(9) Z. Zhang, Z. Li, C. S. Lai, R. Wu, X. Li, J. Lin, X. Ren, and H. Qiao, “Joint optimization of data urgency and freshness in wireless body area networks for enhanced eHealth monitoring,” IEEE Transactions on Consumer Electronics, 2025. DOI: 10.1109/TCE.2025.3544917
(10) Z. Zhang, H. Zhang, L. Zhou, Z. Li, W. Wang, S. Chu, W. Chang, C. Wang, Z. Zhao, C. S. Lai, and L. L. Lai “Island partition strategy based on entropy method-set pair analysis for microgrids,” IEEE Access, vol. 13, 2025, pp.25765-25782.
(11) Z. Zhang, X. Ren, C. S. Lai, R. Wu, J. Lin, and Z. Li, “Adaptive resource scheduling algorithm for multi-feature optimization in personalized wireless body area networks,” IEEE Transactions on Consumer Electronics, vol. 71, Feb. 2025, pp. 352-366.
(12) Z. Dong, C. Hu, L. Zhu, X. Ji, and C. S. Lai, “A dual-pathway driver emotion classification network using multi-task learning strategy: a joint verification,” IEEE Internet of Things Journal, vol. 12, May 2025, pp. 14897-14908.
(13) C. Wang, M. Wang, A. Wang, X. Zhang, J. Zhang, H. Ma, N. Yang, Z. Zhao, C. S. Lai, and L.L. Lai, “Multiagent deep reinforcement learning-based cooperative optimal operation with strong scalability for residential microgrid clusters,” Energy, vol. 314, 2025 p. 134165.
(14) Y. Wang, J. Li, Y. Yuan, and C. S. Lai, “Optimizing urban air mobility: a ground-connected approach to select optimal eVTOL takeoff and landing sites for short-distance intercity travel,” IEEE Open Journal of Vehicular Technology, vol. 6, 2024, pp. 216-239. (Invited paper)
(15) Y. Wang, J. Li, Y. Yuan, and C. S. Lai, “Joint optimization of cost and scheduling for urban air mobility operation based on safety concerns and time-varying demand,” Aerospace, vol. 11, 2024, p. 861.
(16) X. Ren, C. S. Lai*, Z. Guo, and G. Taylor, “Eco-driving with partial wireless charging lane at signalized intersection: a reinforcement learning approach,” IEEE Transactions on Consumer Electronics, vol. 70, 2024, pp. 6547-6559.
(17) Y. Yuan, X. Jiang, P. Zhang, and C. S. Lai, “Short-term high-speed rail passenger flow prediction by integrating ensemble empirical mode decomposition with multivariate grey support vector machine,” Engineering Applications of Artificial Intelligence, vol. 136, 2024, p.109005.
(18) X. Ji, Y. Chen, J. Wang, G. Zhou, C. S. Lai, and Z. Dong, “Time-frequency hybrid neuromorphic computing architecture development for battery state-of-health estimation,” IEEE Internet of Things Journal, vol. 11, 2024, pp. 39941-39957.
(19) Z. Dong, S. Gu, S. Zhou, M. Yang, C. S. Lai, M. Gao, and X. Ji*, “Periodic segmentation transformer-based internal short circuit detection method for battery packs,” IEEE Transactions on Transportation Electrification, vol. 11, 2025, pp. 3655-3666.
(20) L. Duan, G. Taylor, and C. S. Lai*. "Solar–hydrogen-storage integrated electric vehicle charging stations with demand-side management and social welfare maximization," World Electric Vehicle Journal, vol. 15, 2024, p. 337. (Editor's Choice Article)
(21) S. Zhou, J. Wang, C. S. Lai, Y. Yuan*, and Z. Dong, “Multi-view adaptive probabilistic load forecasting combing Bayesian Autoformer Network,” Journal of Electronics & Information Technology, vol. 46, 2024, pp. 4432-4440.
(22) Z. Dong, M. Yang, J. Wang, H. Wang, C. S. Lai, and X. Ji*, “PFFN: A parallel feature fusion network for remaining useful life early prediction of lithium-ion battery,” IEEE Transactions on Transportation Electrification, vol. 11, 2025, pp. 2696-2706.
(23) M. Farrag, C. S. Lai*, M. Darwish, and G. Taylor, “Improving the efficiency of electric vehicles: advancements in hybrid energy storage systems,” Vehicles, vol. 6, 2024, pp. 1089-1113.
(24) C. Wang*, J. Zhang, A. Wang, Z. Wang, N. Yang, Z. Zhao, C. S. Lai, and L. L. Lai, “Prioritized sum-tree experience replay TD3 DRL-based online energy management of a residential microgrid,” Applied Energy, vol. 368, 2024, p. 123471.
(25) C. Wang*, Z. Wang, S. Chu, H. Ma, N. Yang, Z. Zhao, C. S. Lai, and L. L. Lai “A two-stage underfrequency load shedding strategy for microgrid groups considering risk avoidance,” Applied Energy, vol. 367, 2024, p. 123343.
(26) L. Duan, Y. Yuan, G. Taylor, and C. S. Lai*, “Game-theory-based design and analysis of a peer-to-peer energy exchange system between multi-solar-hydrogen-battery storage electric vehicle charging stations,” Electronics, vol. 13, 2024, p. 2392.
(27) Z. Li, X. Peng*, W. Cui, Y. Xu, J. Liu, H. Yuan, C. S. Lai, and L. L. Lai* “A novel scenario generation method of renewable energy using improved VAEGAN with controllable interpretable features,” Applied Energy, vol. 363, 2024, p. 122905.
(28) J. Wang, Y. Chen, X. Ji, Z. Dong*, M. Gao, and C. S. Lai “Metaverse meets intelligent transportation system: an efficient and instructional visual perception framework,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, Oct. 2024, pp. 14986-15001.
(29) X. Ji, Z. Dong*, G. Zhou, C. S. Lai*, and D. Qi, “MLG-NCS: Multimodal local–global neuromorphic computing system for affective video content analysis,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, Aug. 2024, pp. 5137-5149.
(30) X. Ji, Z. Dong*, L. Zhu, C. Hu, and C. S. Lai*, “An efficient human activity recognition in-memory computing architecture development for healthcare monitoring,” IEEE Journal of Biomedical and Health Informatics, 2024. DOI: 10.1109/JBHI.2024.3392648 (Early Access)
(31) P. Zhao, W. Zhang, J. Chen, X. Zhang, Z. Zhan, C. S. Lai*, and S. E. Peng, “A novel optimization method of carbon reduction strategies implementation for industrial parks,” Frontiers in Energy Research, vol. 12, 2024, p. 1272679.
(32) J. Wang, X. Zhang, Y. Han, C. S. Lai, Z. Dong*, G. Ma, and M. Gao, “MDGN: Circuit design of memristor-based denoising autoencoder and gated recurrent unit network for lithium‐ion battery state of charge estimation,” IET Renewable Power Generation, vol. 18, 2024, pp. 372-383.
(33) Y. Yuan, Y. Wang, X. Jiang*, and C. S. Lai*, “An innovative multi-objective rescheduling system for mitigating pandemic spread in aviation networks,” Clean Technologies, vol. 6, 2024, pp. 77-92.
(34) L. Huang, H. Li, C. S. Lai*, A. F. Zobaa, B. Zhong, Z. Zhao, and L. L. Lai*, “Electric vehicle cluster scheduling model for distribution systems considering reactive-power compensation of charging piles,” Energies, vol. 17, 2024, p. 2541.
(35) J. Chen. D. Chen, X. Han, Z. Li, W. Zhang, and C. S. Lai*, “State-of-health estimation of lithium-ion battery based on constant voltage charging duration,” Batteries, vol. 9, 2023, p. 565.
(36) G. Zhou, Y. Zhao, C. S. Lai, and Y. Jia*, “A profitability assessment of fast-charging stations under vehicle-to-grid smart charging operation,” Journal of Cleaner Production, vol. 428, 2023, p. 139014.
(37) M. Yan, Z. Li, C. S. Lai*, Z. Zhao, A. F. Zobaa, L. L. Lai, and Z. Shi, “Energy management considering multiple power markets and microgrid storage,” Frontiers in Energy Research, 2023. DOI: 10.3389/fenrg.2023.1285270.
(38) L. Duan, Z. Guo, G. Taylor, and C. S. Lai* “Multi-objective optimization for solar-hydrogen-battery-integrated electric vehicle charging stations with energy exchange,” Electronics, vol. 12, 2023, p. 4149.
(39) J. Wang, Y. Chen, X. Ji, Z. Dong*, M. Guo, and C. S. Lai, “Vehicle-mounted adaptive traffic sign detector for small-sized signs in multiple working conditions,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, Jan. 2024, pp. 710-724.
(40) Z. Zhao, X. Luo*, J. Wu, J. Xie, S. Gong, Q. Ni, C. S. Lai, and L. L. Lai*, “Model reduction for grid-forming hybrid renewable energy microgrid clusters based on multi-timescale characterization,” IEEE Transactions on Smart Grid, vol. 15, March 2023, pp. 1227-1242.
专利：
(1) 一种太阳能空调，发明专利，专利号：CN 102116514 B
(2) 一种可扩展的多微网环境下的分布式电力交易方法，发明专利，专利号：CN 110826940 B
(3) 一种阀控铅酸蓄电池无线监测系统，发明专利，专利号：CN 211478577 U
(4) 一种能源分配方法、装置、设备及存储介质，发明专利，申请号：CN 111047153 A
主要讲授课程：
英国伦敦大学布鲁内尔期间
(1) Devices and Circuits电路与器件（本科生）
(2) Reliability Engineering可靠性工程（本科生）
(3) Electronic Systems电子系统（本科生）
(4) Digital Systems Design数字系统设计（本科生）
(5) Electricity Market and Economics电力市场与经济（硕士生）
(6) Power Systems Analysis电力系统分析（硕士生）
英国牛津大学期间
（7）B12 Electronic Devices电子器件（本科生，实验课）
主要学术成就、奖励及荣誉：
(1) 2025：IEEE SMC Early Career Award
(2) 2024：IET Energy Conversion and Economics优秀审稿人
(3) 2025：IEEE Chester W. Sall Memorial Best Paper Award (第一位), IEEE Transactions on Consumer Electronics
(4) 2024：IEEE Transactions on Consumer Electronics Forum最佳论文 （第一位）
(5) 2024：IEEE 最活跃 SMC 系统科学与工程技术委员会，Co-Chair of Intelligent Power and Energy Systems Technical Committee
(6) 2024：IEEE Transactions on Consumer Electronics最佳副主编
(7) 2023：IET Energy Conversion and Economic杰出副主编
(8) 2022：IEEE SMC Meritorious Service Award
(9) 2022：IET International Travel Award
(10) 2022: 英国高等教育学院会士（FHEA，Advance HE）
(11) 2021：特许工程师（CEng）英国工程委员会
(12) 2020：IEEE高级会员
(13) 2020: IEEE International Smart Cities Conference最佳论文奖
(14) 2018：Renewable and Sustainable Energy Reviews 杰出审稿人
(15) 2015：百名牛津剑桥博士创业中国行(第一届) 欧美同学会
其他（社会兼职等）：
(1) 2025.04至今： IEEE Transactions on Consumer Electronics 高级主编
(2) 2023.10-2025.12: IEEE SMC eNewsletter副主编
(3) 2023.11-2025.10: Associate Editor of AIMS Electronics and Electrical Engineering副主编
(4) 2023.07-2025.03: IEEE Transactions on Consumer Electronics副主编
(5) 2022.12至今IEEE Transactions on Systems, Man, and Cybernetics: Systems副主编
(6) 2022.05至今Frontiers in Energy Research (Smart Grids) 副主编
(7) 2020.03至今IET Energy Conversion and Economics副主编
