| Distinguished Professor, Ph.D. Supervisor Director, Research Institute of Intelligent Complex Systems, Fudan University Dean, Office of Academic Affairs, Fudan University Professor, School of Mathematical Sciences, Fudan university Professor, Shanghai Center for Mathematical Sciences Vice Dean, School of Data Science, Fudan University Director, Center for Computational Systems Biolog, Fudan university |
Biography
Dr. Wei Lin received the Ph.D. degree in applied mathematics from Fudan University, Shanghai, China, in January 2003, with specialization in nonlinear dynamical systems.Dr. Lin has been a Full Professor in applied mathematics at Fudan University since December 2009. Currently, he is serving as the Dean of the Office of Educational Administration of Fudan University, the Dean of the Research Institute of Intelligent Complex Systems, and the Director of the Centre for Computational Systems Biology, Fudan University, China. From 2008 to 2013, he held a Staff Scientist position at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China. From 2008 to 2023, he served as the Vice Dean of the School of Mathematical Sciences, of the ISTBI, and of the School of Data Science, and severed as the Vice Director of the MOE Frontiers Center for Brain Science. He is now the Vice Chair and General Secretary of the Shanghai Society of Nonlinear Sciences, the Board Member of the International Physics and Control Society, the Associate Editor of the International Journal of Bifurcation and Chaos and of the RESEARCH, the member of Editorial Advisory Board of CHAOS, and the Editor of CSF. His current research interests include bifurcation and chaos theory, stability and oscillations in hybrid systems, stochastic systems and complex networks, data assimilation, causality analysis, and their applications to systems biology and artificial intelligence. He has had more than 90 publications in peer-reviewed journals including those top ones, such as, Physical Review Letters, Nature Physics, Nature Communications, PNAS, IEEE Transactions and SIAM Journals.Dr. Lin received the Outstanding Young Scholar Fund and the Excellent Young Scholar Fund from NSFC, respectively, in 2019 and in 2013, was the Chief Scientist for the National Key R&D Program of China. He received the Best Paper Award of ICCM2019, the First Prize of Shanghai Natural Science Award (Winner no.2) and was a Highly Cited Chinese Researcher in General Engineering according to Elsevier.
Education Experience
September 1998 – January 2003 Ph.D. (Advisor: Professor Jiong Ruan) Institute of Mathematics, Fudan University, Shanghai, China
September 1994 – July 1998 B.Sc. Department of Mathematics, Fudan University, Shanghai, China
Professional Experience
March 2023 – Present Dean, Office of Educational Administration, Fudan University, Shanghai, China
January 2022 – March 2023 Vice Dean, School of Data Science, Fudan University, Shanghai, China
July 2020 – Present Dean, Research Institute of Intelligent Complex Systems (IICS), Fudan University, Shanghai, China
October 2019 – March 2023 Vice Director, MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
October 2019 – Present Deputy Director, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
December 2018 – Present Full Professor (Tenured), Applied Mathematics, Shanghai Center of Mathematical Sciences, Shanghai, China
March 2016 – January 2022 Deputy Dean, Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China
January 2017 – Present Director, Centre for Computational Systems Biology, Fudan University, Shanghai, China
December 2009 – Present Full Professor, Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai, China (Obtained the qualification of supervising Ph.D. students in Dec. 2010/Promoted to Professional and Technical Level II in Feb. 2018)
March 2008 – January 2017 Deputy Director, Centre for Computational Systems Biology, Fudan University, Shanghai, China
January 2008 – June 2017 Vice Dean, School of Mathematical Sciences, Fudan University, Shanghai, China
April 2005 – November 2009 Associate Professor, Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai, China (Obtained the qualification of supervising M.Sc. students in Dec. 2005)
February 2003 – March 2005 Lecturer, Applied Mathematics, Department of Mathematics, Fudan University, Shanghai, China
Selected Publications
1. Zhaoyue Zhong, Wei Lin*, Bo-Wei Qin*. Modulating biological rhythms: A noncomputational strategy harnessing nonlinearity and decoupling frequency and amplitude. Physical Review Letters 131, 138401 (2023).
2. Shijie Zhou, Wei Lin*, Xuerong Mao, and Jianhong Wu. Generalized invariance principles for stochastic dynamical systems and their applications. IEEE Transactions on Automatic Control (Regular Paper), published in Early Access (2023).
3. Jingdong Zhang, Qunxi Zhu*, Wei Yang*, and Wei Lin* SYNC: Safety-aware neural control for stabilizing stochastic delay-differential equations. The Eleventh International Conference on Learning Representations (ICLR 2023, poster).
4. Xiong Ying, Si-Yang Leng, Huan-Fei Ma, Qing Nie, Ying-Cheng Lai, and Wei Lin*. Continuity scaling: A rigorous framework for detecting and quantifying causality accurately. RESEARCH 2022, 9870149 (2022) [Best Paper Award 2022].
5. Jiawen Hou, Huanfei Ma, Dake He, Jie Sun, Qing Nie*, and Wei Lin*. Harvesting random embedding for high-frequency change-point detection in temporal complex systems. National Science Review 9, nwab228 (2022).
6. Bo-Wei Qin*, Lei Zhao, and Wei Lin*. A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators. Nature Communications 12, 5894 (2021).
7. Qunxi Zhu*, Yao Guo*, and Wei Lin*. Neural delay differential equations, The Ninth International Conference on Learning Representations (ICLR 2021, poster).
8. Siyang Leng, Huanfei Ma, Jürgen Kurths, Ying-Cheng Lai, Wei Lin*, Kazuyuki Aihara*, Luonan Chen*. Partial cross mapping eliminates indirect causal influences. Nature Communications 11, 2632 (2020).
9. Huanfei Ma, Siyang Leng, Kazuyuki Aihara*, Wei Lin*, and Luonan Chen*. Randomly distributed embedding making short-term high-dimensional data predictable. Proceedings of the National Academy of Sciences of the United States of America 115, E9994-E10002 (2018).
10. Yongzheng Sun, Siyang Leng, Ying-Cheng Lai, Celso Grebogi, and Wei Lin*. Closed-loop control of complex networks: A trade-off between time and energy. Physical Review Letters 119, 198301. (2017).
