Welcome to the Intelligence, Information and Decision Lab (IID Lab) @ SIST-ShanghaiTech! Our mission is to bridge theory and practice by conducting interdisciplinary research related to intelligent decision making under incomplete information, including theories, models, algorithms, analysis, and implementation, using state-of-the-art mathematical and information techniques.
We are generally interested in the following fields (see Research for recent highlights):
Lab Members
Faculty
Current Postgraduate Students
Ph.D. Students
Master Students
Alumni
Ph.D
Master
Selected Undergraduate
Longxiulin Deng, from CS@ ShanghaiTech University, Research Assistant 2019-2020, Next Hop: CS PhD Student of Cornell University.
Group News
December 2021: Xin Gao, Jianfeng Hou, Jingye Wang, and Yinxu Tang received the honor of Merit Student! Congratulations!
December 2019: Paper ‘‘Systematic Topology Design for Large-Scale Networks: A Unified Framework’’accepted to INFOCOM 2020! With Shannon-style thinking and reverse/forward engineering mentality, by adopting Ramanujan theorems and cross disciplinary domain knowledge, we solved a very important open problem: ‘‘how to systematically design large-scale network topologies’’.
Useful Links for the Group
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