Huiwen Yu
Supervisor of Doctorate Candidates
Personal Profile —————

Prior to joining Fudan University, Prof. Huiwen Yu worked as a postdoc in Professor Richard D. Braatz's group at the Massachusetts Institute of Technology (MIT). Prof. Huiwen Yu earned his Ph.D. from the University of Copenhagen under the supervision of Professor Rasmus Bro, during which he also spent a visiting period at Harvard University. Prof. Huiwen Yu currently serves as a Tenure-Track Associate Professor at the Research Institute of Intelligent Complex Systems, Fudan University, where he leads several important scientific projects...

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Personal Profile

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Prior to joining Fudan University, Prof. Huiwen Yu worked as a postdoc in Professor Richard D. Braatz's group at the Massachusetts Institute of Technology (MIT). Prof. Huiwen Yu earned his Ph.D. from the University of Copenhagen under the supervision of Professor Rasmus Bro, during which he also spent a visiting period at Harvard University. Prof. Huiwen Yu currently serves as a Tenure-Track Associate Professor at the Research Institute of Intelligent Complex Systems, Fudan University, where he leads several important scientific projects. He has been honored with a place on the "World Young Scientists List" by the World Young Scientists Forum and holds the MIT Kaufman Teaching Certificate for excellence in pedagogy. 


Prof. Huiwen Yu has also served on the editorial boards of several journals, including:

  • PM (IF: 5.2, ranked 12/85 in Biochemical Research Methods) — Associate Editor and Editorial Board Member;

  • Meta-Radiology (IF: 13.3, ranked 5/217 in Radiology, Nuclear Medicine & Medical Imaging of WoS, top 3%; and 14/210 in Computer Science & Artificial Intelligence of WoS, top 7%) — Youth Editorial Board Member;

  • Journal of Pharmaceutical Analysis (IF: 11.2, ranked 15/356 in Pharmacology & Pharmacy of WoS, top 5%) — Youth Editorial Board Member;

  • Journal of Analysis and Testing (IF: 9.4; ranked 6/110 in Analtical Chemistry of WoS, top 5%) — Youth Editorial Board Member.

Additionally, he serves as a committee member of the Medical Genomics and Bioinformatics Committee of the China Medicine Education Association.


Prof. Huiwen Yu's research primarily focuses on data-knowledge hybrid-driven statistical modeling and computational theories, methods, model and algorithms for intelligent analysis of complex systems, along with their interdisciplinary applications. Particularly, he has research interests on tensor computation, multiway/high-dimensional data analysis, complex high-order system modeling, intelligent optimization algorithms, chemometrics and medical statistics, as well as their interdisciplinary applications.


Over the past five years, Prof. Huiwen Yu has published nearly 30 papers in journals including Advanced Science, Applied Soft Computing, and Chemometrics and Intelligent Laboratory Systems etc. These publications feature ESI Highly Cited Papers, Wiley Top Cited Articles, and Wiley Top Viewed Articles. He has also been invited to deliver oral presentations at some international conferences, including the International Congress on Industrial and Applied Mathematics (ICIAM, Tokyo, Japan) and the AIChE Annual Meeting (San Diego, USA) etc.


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