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Symmetry restoration and quantum Mpemba effects in chaotic andlocalization sy...
Quantum Gases 2024
Stories of Fermions in an Optical Box
Contractive Unitary and Classical Shadow Tomography
报告题目:
Towards a Unified Theory of Communications & Control
 报告人:
Chong Li
Co-Founder of Nakamoto & Turing Labs, Adjunct Assistant Professor 
at Columbia University
报告时间:
2019-06-06 14:30
报告地点:
清华大学罗姆楼8-208
主办单位:
精仪系
  简介:

In this talk, I will present two research topics respectively in academia and industry. The academic topic focuses on establishing a unified theory of communications and control. We have investigated a 60-year open problem in information theory – finding the feedback capacity of Gaussian channels – and shown that this information theory problem is equivalent to an optimal control problem using Youla parameterization. The convergence of the two fundamental theories has not only helped solve this long-standing information theory problem but also brought up new opportunities to address hard problems in both fields. The industrial topic focuses on building a blockchain-based shared computing platform, a.k.a., “Uber of computing”, which is envisioned to change the way people do computing in the near future. In this talk, I will introduce the motivations, discuss the systems architecture, and identify technical challenges and opportunities that are on the horizon.


报告人简介:

Dr. Chong Li is a Co-Founder of Nakamoto & Turing Labs based in New York City, which conducts research on AI and blockchain technologies. He is also an adjunct assistant professor at Columbia University (in the City of New York). Prior to that, he was a staff research engineer at Qualcomm Research, significantly contributing to the development of LTE and 5G technologies.

Dr. Li received a Ph.D degree from Iowa State University and a B.E. degree from Harbin Institute of Technology, both in Electrical Engineering. He is a holder of 200+ international/U.S. patents (granted and pending). Dr. Li has been actively publishing papers on top-ranking journals, including Proceedings of the IEEE, IEEE Transactions on Information Theory, IEEE Communications Magazine, Automatica, etc. He has also served as reviewer and technical program committee for most prestigious journals and conferences in communications and control societies. He is the author of the book “Reinforcement Learning for Cyber-physical Systems” (Taylor & Francis CRC press). Dr. Li was a visiting scholar to Yale University, Princeton University, The University of Texas at Austin, and National Tsinghua University (Taiwan). Dr. Li has broad research interests including information theory, blockchain, machine learning, networked control & communications theory, and systems design for advance telecommunication technologies (5G and beyond).


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