北京雁栖湖应用数学研究院 北京雁栖湖应用数学研究院

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关于我们
院长致辞
理事会
协作机构
参观来访
人员
管理层
科研人员
博士后
来访学者
行政团队
学术研究
研究团队
公开课
讨论班
招生招聘
教研人员
博士后
学生
会议
学术会议
工作坊
论坛
学院生活
住宿
交通
配套设施
周边旅游
新闻
新闻动态
通知公告
资料下载
清华大学 "求真书院"
清华大学丘成桐数学科学中心
清华三亚国际数学论坛
上海数学与交叉学科研究院
BIMSA > Workshop on the physics of complex systems
Workshop on the physics of complex systems
Many physical, biological, engineering, and societal processes can be explained as complex systems, characterized by a large number of interacting degrees of freedom. The theoretical and computational tools for dissecting complex systems are founded on the physical principles, cross-pollinated by mathematics, statistics, ecology, evolutionary game theory, and graph theory. This mini-workshop aims to expose the faculty, post-doctors, and students to a selection of topics at the forefront of complex systems research.

Bios
Dr. R. Wu is Research Fellow at Beijing Institute of Mathematical Sciences and Applications and Zeng Siming Chair Professor at Tsinghua University Yau Mathematical Sciences Center. He is Fellow of American Statistical Association (ASA) and Fellow of American Association for the Advancement of Science (AAAS). Dr. Wu’s research interest centers on statistical modeling of complex systems, especially via interdisciplinary cross-pollination. He develops FunGraph to trace how each cell telegraphs to every other cell across tissues in an organism. His work on statistical research has been recorded in 450 peer-reviewed scholarly journals and four monographs published by Springer, CRC/Chapman Hall, and Elsevier.

Dr. Cannistraci is a theoretical engineer and computational innovator. He is a Professor in the Tsinghua Laboratory of Brain and Intelligence (THBI) and an adjunct professor in the Department of Computer Science and in the Department of Biomedical Engineering at Tsinghua University. He directs the Center for Complex Network Intelligence (CCNI) in THBI, which seeks to create pioneering algorithms at the interface between information science, physics of complex systems, complex networks and machine intelligence, with a particular focus in brain/life-inspired computing for big data analysis. These computational methods are often applied to precision biomedicine, neuroscience, social and economic science. His website: https://brain.tsinghua.edu.cn/en/info/1010/1003.htm.

Professor Jie Wu received a Ph.D. degree from the University of Rochester in 1995. He was a former tenured professor of National University of Singapore. In December 2021, he joined BIMSA. His research interests are algebraic topology and applied topology. His main achievements in mathematics are to establish the fundamental relations between homotopy groups and the theory of braids, and the fundamental relations between loop spaces and modular representation theory of symmetric groups. In terms of applied topology, he has obtained various important results on topological approaches to data science. He has published over 100 academic papers in high quality journals. In 2007, he won the National Science Award of Singapore.
组织者
吴杰 , 邬荣领
日期
2023年06月08日 至 08日
位置
Weekday Time Venue Online ID Password
周四 10:00 - 15:00 A3-2-303 ZOOM 09 230 432 7880 BIMSA
北京雁栖湖应用数学研究院
CONTACT

No. 544, Hefangkou Village Huaibei Town, Huairou District Beijing 101408

北京市怀柔区 河防口村544号
北京雁栖湖应用数学研究院 101408

Tel. 010-60661855
Email. administration@bimsa.cn

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