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Benben Jiang Associate Professor I am an Associate Professor in the Department of Automation at Tsinghua University, where I currently serve as Deputy Director of the Institute of Systems Engineering. Prior to the current position, I was a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT) from 2016 to 2020. I received the B.Eng. in automation from Zhejiang University in 2010 and the Ph.D. in control science and engineering from Tsinghua University in 2015. Dr. Jiang is a recipient of the 2016 Prize in Informatics/Computer Science from the Dimitris Chorafas Foundation, Switzerland, and received the 2022 Intelligent Computing Innovators of China from the DeepTech. My research interests include artificial intelligence driven computational energy methodologies, trustworthy machine learning and their applications. Our group constantly looks for highly self-motivated postdoc candidates with backgrounds in artificial intelligence, machine learning, control theory, energy, etc. Outstanding postdoc candidates are encouraged to directly email your interests with resume/CV to bbjiang@tsinghua.edu.cn. Outstanding undergraduates/graduates interested in research with our group are also welcome to email your resume/CV. For postdocs, please check HERE for Shuimu Tsinghua Scholar Program; For international students, scholarship information can be accessed HERE. |
News
Realistic fault detection of li-ion battery via dynamical deep learning published in Nature Communications
Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel published in Nature
Benben Jiang is invited to give a keynote speech at the 10 Breakthrough Technologies themed summit hosted by MIT Technology Review China
NSFC funds the group's research in the intelligent battery management theory and method using machine learning and electrochemical knowledge
National Key Research & Development Program funds the group's research in the intelligent data analytics and fault diagnosis for smart cloud manufacturing platform
Xizhe receives Outstanding Undergraduate Thesis Award, Tsinghua University
The cover of Joule highlights Benben Jiang's joint research with MIT and Stanford researchers in Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols
Tsinghua-Toyota Joint Research Program funds the group's research in prediction and optimization of lithium metal electrolyte using machine learning and physical model
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Yuhan Hao, Qiugang Lu, Xizhe Wang, Benben Jiang. Adaptive model-based reinforcement learning for fast charging optimization of Lithium-ion batteries. IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2023.3257299, 2023.
Benben Jiang, William E. Gent, Fabian Mohr, Supratim Das, Marc D. Berliner, Michael Forsuelo, Hongbo Zhao, Peter M. Attia, Aditya Grover, Patrick K. Herring, Martin Z. Bazant, Stephen J. Harris, Stefano Ermon, William C. Chueh, Richard D. Braatz. Bayesian learning for rapid prediction of lithium-ion battery cycling protocols. Joule, 2021. (Tsinghua Press Release) (Cover Article)
Kristen Severson, Peter Attia, Norman Jin, Nicholas Perkins, Benben Jiang, Zi Yang, Michael H. Chen, Muratahan Aykol, Patrick K. Herring, Dimitrios Fraggedakis, Martin Z. Bazant, Stephen J. Harris, William C. Chueh, Richard D. Braatz. Data-driven prediction of battery cycle life before capacity degradation. Nature Energy, 4: 383¨C391, 2019. (Cover Article)
Hongbo Zhao, Haitao Dean Deng, Alexander E. Cohen, Jongwoo Lim, Yiyang Li, Dimitrios Fraggedakis, Benben Jiang, Brian D. Storey, William C. Chueh, Richard D. Braatz, Martin Z. Bazant. Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel. Nature 621, 289¨C294, 2023.
Guijun Ma, Songpei Xu, Benben Jiang, Cheng Cheng, Xin Yang, Yue Shen, Tao Yang, Yunhui Huang, Han Ding, Ye Yuan. Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning. Energy & Environmental Science, 2022.
Benben Jiang, Xizhe Wang. Constrained Bayesian optimization for minimum-time charging of Lithium-ion batteries. IEEE Control Systems Letters. 6, 1682¨C1687, 2022.
Marc D. Berliner, Hongbo Zhao, Supratim Das, Michael Forsuelo, Benben Jiang, William C. Chueh, Martin Z. Bazant, and Richard D. Braatz. Nonlinear identifiability analysis of the porous electrode theory model of lithium-ion batteries. Journal of The Electrochemical Society, 168, 090546, 2021.
Benben Jiang, Qiugang Lu. Fault detection in industrial systems using maximized divergence analysis approach. IEEE Access, 10, 60674¨C60681, 2022.
Benben Jiang, Bofan Zhu. Dynamic Bhattacharyya bound-based approach for fault classification in industrial Processes. IEEE Transactions on Industrial Informatics, 18, 397¨C404, 2021.
Qiugang Lu, Benben Jiang*, Eranda Harinath. Fault diagnosis in industrial processes by maximizing pairwise Kullback-Leibler divergence. IEEE Transactions on Control Systems Technology, 29, 780¨C785, 2019.
Benben Jiang, Marc Berliner, Kun Lai, Patrick Asinger, Hongbo Zhao, Patrick Herring, Martin Z. Bazant, Richard D. Braatz. Fast charging design for Lithium-ion batteries via Bayesian optimization. Applied Energy, 307, 118244, 2022.
Xizhe Wang, Benben Jiang. Multi-objective optimization for fast charging design of lithium-ion batteries using constrained Bayesian optimization. Journal of Power Sources, 584, 233602, 2023.
Jingzhao Zhang*, Yanan Wang*, Benben Jiang*, Haowei He, Shaobo Huang, Chen Wang, Yang Zhang, Xuebing Han, Dongxu Guo, Guannan He, and Minggao Ouyang, Realistic fault detection of Li-ion battery via dynamical deep learning, Nature Communications, 14, 5940, 2023. (*equal contribution)
Publications
Ruixue Liu*, Guannan He*, Xizhe Wang, Dharik Mallapragada, Hongbo Zhao, Yang Shao-Horn, Benben Jiang. A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles. Nature Communications, 15, 280, 2024. (Tsinghua Press Release)
Professional Services
TC member, IFAC Technical Committee on Chemical Process Control
TC member, IEEE IES Technical Committee on Data-Driven Control and Monitoring
TC member, IEEE CSS Technical Committee on Process Control
Guest Editors, Machines; Frontiers in Chemical Engineering; Results in Control and Optimization
Reviewer for Science Advances, Joule, Automatica, IEEE TCST, IEEE TASE, IEEE TII, IEEE CDC, ACC, IFAC World Congress, etc.
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Awards
¡¤ Intelligent Computing Innovators of China, DeepTech, 2022
¡¤ Outstanding Reviewer, Journal of Process Control, 2018
¡¤ Informatics and Computer Science Prize, Dimitris Chorafas Foundation, Switzerland, 2016
¡¤ Outstanding Doctoral Dissertation, Tsinghua University, 2015
¡¤ Promising Young Researcher Prize, Department of Automation, Tsinghua University, 2015
Group Members
Postdoc
Ruixue Liu (2021)
Pengjiang Wang (2022)
Lei Wang (2023)
PhD Students
Yixing Wang (2021)
Arslan Yong Zhao (2022)
Xizhe Wang (2022)
Xiaobin Song (2023)
Zeyuan Liu (2023)
Pengyu Chen (Incoming)
Spencer Jia (Visiting student from McGill University)
Yi Zhang (Visiting student from Queen's University)
Undergraduate Students
Qiang Gao (2020)
Kun Lai (2020)
Tianyi Chen (2021)
Zhenghua Ma (2021)
Jiahao Ma (2021)
Suning Huang (2022)
Yuhan Hao (2022)