Fellow of IEEE, Fellow of SPIE, Fellow of AAIA
Prof. Nasser Kehtarnavaz, University of Texas at Dallas, USA

Speech Title: Mobile Edge AI: Machine Learning Solutions as Real-Time Smartphone Apps

Nasser Kehtarnavaz is an Erik Jonsson Distinguished Professor of Electrical and Computer Engineering at the University of Texas at Dallas. His research areas include signal and image processing, machine learning and deep learning, real-time implementation on embedded processors, and biomedical signal and image analysis. He has authored or co-authored 11 books and more than 400 publications in these areas. Dr. Kehtarnavaz is a Fellow of IEEE, a Fellow of SPIE, a Fellow of AAIA, a licensed Professional Engineer, and has received several awards for his scholarly contributions. He is currently serving as Editor-in-Chief of Springer Journal of Real-Time Image Processing and Chair of SPIE Conference on Real-Time Image Processing and Deep Learning.

Fellow of IEEE
Prof. Shui Yu, University of Technology Sydney, Australia

Speech Title: Digital Privacy: Status, Challenges, and Directions

Shui Yuis a Professor of School of Computer Science, University of Technology Sydney, Australia. His research interest includes Cybersecurity, Network Science, Big Data, and Mathematical Modelling. He has published five monographs and edited two books, more than 500 technical papers at different venues, such as IEEE TDSC, TPDS, TC, TIFS, TMC, TKDE, TETC, ToN, and INFOCOM. His current h-index is 70. Professor Yu promoted the research field of networking for big data since 2013, and his research outputs have been widely adopted by industrial systems, such as Amazon cloud security. He is currently serving the editorial boards of IEEE Communications Surveys and Tutorials (Area Editor) and IEEE Internet of Things Journal (Editor). He served as a Distinguished Lecturer of IEEE Communications Society (2018-2021). He is a Distinguished Visitor of IEEE Computer Society,  and an elected member of Board of Governors of IEEE VTS and IEEE ComSoc, respectively. He is a member of ACM and AAAS, and a Fellow of IEEE.

IEEE Fellow
Prof. Zuqing Zhu, University of Science and Technology of China, China

Speech Title: Machine Learning in and for Optical Data-Center Networks

Zuqing Zhu received his Ph.D. degree from the Department of Electrical and Computer Engineering, University of California, Davis, in 2007. From 2007 to 2011, he worked in the Service Provider Technology Group of Cisco Systems, San Jose, California, as a Senior Engineer. In January 2011, he joined the University of Science and Technology of China, where he currently is a Full Professor and Associate Dean of the School of Information Science and Technology. He has published 360+ papers in peer-reviewed journals and conferences, which have received 9600+ Google Scholar citations with an h-index of 53. He is the Area Editor of Optical Communications and Networking of the IEEE Open Journal of the Communications Society, and is also an editorial board member of IEEE Transactions on Communications, IEEE Transactions on Network and Service Management, Optics Express, Optical Switching and Networking, and others. He is the Steering Committee Chair of the IEEE International Conference on High Performance Switching and Routing (HPSR), and the Chair of the Technical Committee on Optical Networking (ONTC) in the IEEE Communications Society (ComSoc). He has received the Best Paper Awards from ICC 2013, GLOBECOM 2013, ICNC 2014, ICC 2015, and ONDM 2018, and has been a Distinguished Lecturer of ComSoc (2018-2021). He is a Senior Member of Optica (formally OSA) and a Fellow of IEEE.