Title: Optimal Design for Wireless Communications, Networking, Signal Processing, and Multimedia Transmissions
Ying CUI, Associate Professor, Hong Kong University of Science and Technology (Guangzhou), China
報告時間：7月27日（周四）下午15:00
報告地點：無線谷（CNV）A1319會議室
Abstract:
This talk presents recent research in optimization and learning and their applications. The topics include massive machine-type communications (mMTC), intelligent reflecting surface (IRS), mobile edge computing and caching, cross-layer control, distributed/federated learning, immersive video streaming, etc. The results demonstrate the critical roles of optimization and learning in various fields.
Brief Biography:
Prof. Ying Cui received her B.Eng degree in Electronic and Information Engineering from Xi’an Jiao Tong University, China, in 2007, and her Ph.D. degree from the Hong Kong University of Science and Technology, Hong Kong, in 2012. She held visiting positions at Yale University, US, in 2011 and Macquarie University, Australia, in 2012. From June 2012 to June 2013, she was a postdoctoral research associate at Northeastern University, US. From July 2013 to December 2014, she was a postdoctoral research associate at the Massachusetts Institute of Technology, US. From January 2015 to July 2022, she was an Associate Professor at Shanghai Jiao Tong University, China. Since August 2022, she has been an Associate Professor with the IoT Thrust at The Hong Kong University of Science and Technology (Guangzhou) and an Affiliate Associate Professor with the Department of ECE at The Hong Kong University of Science and Technology. Her current research interests include optimization, learning, IoT communications, mobile edge caching and computing, multimedia transmission, etc. She was selected to the Thousand Talents Plan for Young Professionals of China in 2013. She received Best Paper Awards from IEEE ICC 2015 and IEEE GLOBECOM 2021. She serves as an Editor for the IEEE Transactions on Wireless Communications.
