The Intelligent Complex Systems Team at the Fudan University Center for Applied Mathematics builds upon the university's distinguished tradition in interdisciplinary research, focusing on 'multidimensional intelligent complex systems integrating next-generation intelligent computing, cyberspace, and physical environments.' The team emphasizes three key research directions: development of novel algorithms, seamless integration between virtual computing spaces and physical environments, and autonomous dynamic evolution of systems.

Centered on advancing the theory and applications of complex systems, the team conducts systematic and innovative interdisciplinary research at the interface of mathematics and other fields through combined data-driven and mechanism-driven approaches. Their work aims to: discover new phenomena, mechanisms, and control strategies in system evolution; and develop core algorithms and technologies to enable integration, intelligent adaptation, and scalable implementation of diverse intelligent complex systems.

The team is led by Professor LIN Wei and includes the following members (in alphabetical order by pinyin surname): LENG Siyang, QIN Bowei, SUN Yi, YANG Wei, YU Yuguo, ZHU Qunxi, ZHOU Shijie

Team Leader

Prof. Wei LIN

Dual-appointed Professor at the Yau Mathematical Sciences Center (Shanghai Mathematics Center) and Leading Scientist at the Shanghai AI Laboratory.

Prof. Lin’s research spans applied mathematics, modern biomathematics, AI theory & methods, and complex systems & applications.

He received his Ph.D. from Fudan University and completed his postdoctoral training at York University (Canada). His academic leadership is reflected in key roles such as Vice Chair of the Biomathematics Committee (Chinese Mathematical Society), Vice Chair of the Mathematical Life Sciences Committee (CSIAM), and President of the Shanghai Society for Nonlinear Science.

Prof. Lin has published in prestigious journals including PNAS, Physical Review Letters, Nature Communications, Nature Physics, National Science Review, IEEE Transactions, and SIAM Journals, as well as top-tier AI conferences like NeurIPS, ICLR, and AAAI. His honors include the ICCM Best Paper Award, the V. Afraimovich Prize (for outstanding young scholars in nonlinear physics), the Huo Yingdong Young Faculty Award (Second Class), the Shanghai Natural Science Award (First Class), and the Baosteel Excellent Teacher Award.

He has been recognized with competitive grants such as the National Science Fund for Distinguished Young Scholars, the Excellent Young Scientists Fund, and serves as the Lead Principal Investigator of the National Key R&D Program. Additional distinctions include the New Century Excellent Talents Program (MOE), Shanghai Rising-Star (Tracking) Scholar, and Shanghai Dawn Scholar.

Team Members

LENG Siyang, Junior Researcher selected for the National Young Talent Program. Dr. Leng's research focuses on complex system dynamics and intelligent algorithms.

QIN Bowei, Junior Associate Researcher specializing in modern biomathematics methods and complex dynamical systems.

SUN Yi, Senior Engineer conducting research in database technologies and big data intelligent computing.

YANG Wei, Senior Engineer working on collective dynamics and multi-scale intelligent complex systems.

YU Yuguo, Professor and 'Oriental Scholar' whose research spans computational neuroscience and brain-inspired intelligent complex systems.

ZHU Qunxi, Junior Researcher studying the mathematical theory of AI, algorithms and their applications.

ZHOU Shijie, Junior Researcher selected for the National Young Talent Program. Dr. Zhou's research focuses on nonlinear stochastic dynamics and neural complex system modeling.

Current Research Topics：

• Intelligent Fundamental Theories of Complex Systems

  Emergence, Reduction Principles, and Infinite-Dimensional Neural Network Dynamics

• Modeling, Computing and Regulation of Complex Systems-Dynamics

  Driven System Reconstruction, Predictive Evolution, and Rhythm Control

• Mathematical-Intelligent Engineering Applications

  Intelligent Decision-Making in Smart Transportation, Aerospace Systems, and Public Health