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¥ú¹q¨t¬x¸Î²[±M¥ô§U²z±Ð±Â
Dr. Yu-Han Hung received MS and PhD degrees from National Cheng Kung University studying nonlinear dynamics of semiconductor lasers and their applications in 2012 and 2016, respectively. He then stayed as a postdoctoral research fellow for two years before he moved to Columbia University as a postdoctoral research scientist. In NCKU, He worked on a broad range of subjects that include nonlinear semiconductor laser dynamics for optical signal processing, phase-locking of period-one nonlinear laser dynamics for ultra-stable microwave generation, microwave photonics and optoelectronics. From Jun. 2018 to Nov. 2020, he worked on high-performance computing (HPC) system design for accelerating distributed deep learning, HPC & datacenter network optimization, and Silicon Photonics (SiP)-based devices/interconnects for datacenters and HPC systems in Columbia University. He then moved back to Taiwan to serve as a researcher for Chunghwa telecom Laboratories from March 2021 to Jan. 2022.
¹q«H¾Çµ{·s¥i¤Ò(Keshav Singh)±M¥ô§U²z±Ð±Â
Keshav Singh received the M.Sc. degree in Information and Telecommunications Technologies from Athens Information Technology, Greece, in 2009, and the Ph.D. degree in Communication Engineering from National Central University, Taiwan, in 2015. He currently works at the Institute of Communications Engineering, National Sun Yat-sen University (NSYSU), Taiwan as an Assistant Professor. Prior to this, he held the position of Research Associate from 2016 to 2019 at the Institute of Digital Communications, University of Edinburgh, U.K. From 2019 to 2020, he was associated with the University College Dublin, Ireland as a Research Fellow. His current research interests include the general area of wireless communications and signal processing for wireless networks. He is currently on the technical program committee (TPC) of ¡§Selected Areas in Communications: Machine Learning for Communications¡¨ in IEEE GLOBECOM 2022. Dr. Singh has been a TPC member, a symposium chair, or the TPC chair of many symposia on machine learning for communications, signal processing for communication, and wireless communication for several leading international IEEE conferences.
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