“Efficient and Trustworthy AI with Applications to 5G Networks” Talk by Prof. Zhi-Quan (Tom) Luo
It’s our pleasure to announce the talk by Prof. Zhi-Quan (Tom) Luo, Vice President (Academic) of the Chinese University of Hong Kong, Shenzhen and Director of Shenzhen Research Institute of Big Data, for a talk titled “Efficient and Trustworthy AI with Applications to 5G Networks”.
The talk will be held on Wednesday, 8th March, from 1:30 PM to 2:30 PM, in Samir Helmy Hall (Room 127) or via Zoom through the following link: https://zoom.us/j/94921464609
In this talk, Prof. LuoI will discuss efficient and trustworthy AI techniques for optimizing the performance of 5G wireless networks. In particular, to address the efficiency and robustness of the solution generated from data-driven models. He will discuss recent progress in the convergence analysis of adaptive gradient algorithms, distributed optimization algorithms, and robust adversarial training of neural networks; in addition, the application results of these techniques to optimize real-world 5G networks will be reported.
- Prof. Zhi-Quan (Tom) Luo's Bio:
Prof. Luo is the Vice President (Academic) of The Chinese University of Hong Kong, Shenzhen, where he has been a professor since 2014. He is currently the Director of the Shenzhen Research Institute of Big Data.
Prof. Luo received his Ph.D. in Operations Research from MIT in 1989 and his B.S. degree in Mathematics in 1984 from Peking University, China. His research interests lie in the area of optimization, big data, signal processing and digital communication, ranging from theory, and algorithms to design and implementation. He served as the Chair of the IEEE Signal Processing Society Technical Committee on Signal Processing for Communications (SPCOM) and the Editor in Chief for IEEE Transactions on Signal Processing (2012--2014), and was an Associate Editor for many internationally recognized journals.
He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Society for Industrial and Applied Mathematics (SIAM). He received the 2010 Farkas Prize from the INFORMS Optimization Society and the 2018 Paul Y. Tseng Memorial Lectureship from the Mathematical Optimization Society. He also received three Best Paper Awards in 2004, 2009 and 2011, a Best Magazine Paper Award in 2015, all from the IEEE Signal Processing Society, and a 2011 Best Paper Award from the EURASIP. In 2014, he was elected to the Royal Society of Canada. Professor Luo was elected to the Chinese Academy of Engineering (as a foreign member) in 2021 and was awarded the Wang Xuan Applied Mathematics Prize in 2022 by the China Society of Industrial and Applied Mathematics.