Keynote Speakers_2021

Fellow of the ACM, AAAI, AAAS, IEEE, and recipient of the National Natural Science Award of China
Prof. Zhi-Hua Zhou, Nanjing University, China

Zhi-Hua Zhou is Professor of Computer Science and Artificial Intelligence at Nanjing University. His research interests are mainly in machine learning and data mining, with significant contributions to ensemble methods, weakly supervised learning, multi-label learning, etc. He has authored the books "Ensemble Methods: Foundations and Algorithms", "Machine Learning (in Chinese)", etc., and published more than 200 papers in top-tier journals or conferences. According to Google Scholar, his publications received 60,000+ citations, with H-index 105. Many of his inventions have been successfully applied in industry. He is a Fellow of the ACM, AAAI, AAAS, IEEE, and recipient of the National Natural Science Award of China, the IEEE Computer Society Edward J. McCluskey Technical Achievement Award, etc.

Fellow of IEEE, Fellow of IET, Chartered Engineer, and Honorary Fellow of SIET
Prof. Weisi Lin, Nanyang Technological University, Singapore

Weisi Lin graduated from Zhongshan University, China with B.Sc in Electronics and M.Sc in Digital Signal Processing, respectively, and from King’s College, London University, UK with Ph.D in Computer Vision. He taught and researched in Zhongshan University, Shantou University (China), Bath University (UK), National University of Singapore, Institute of Microelectronics (Singapore), and Institute for Infocomm Research (Singapore). He has been the project leader of 12 successfully delivered projects in digital multimedia technology development. He also serves as the Lab Head, Visual Processing, and then the Acting Department Manager, Media Processing, in Institute for Infocomm Research. His areas of expertise include perception-inspired signal modeling, perceptual multimedia quality evaluation, video compression, and image processing & analysis. He holds seven patents, wrote 7 book chapters, edited 3 book, authored a book, published over 250 refereed papers in international journals and conferences, and made more than ten contributions to international standardization. He is a Fellow of IEEE, a Chartered Engineer, a Fellow of IET, and an Honorary Fellow of Singapore Institute of Engineering Technologists. He believes that good theory is practical so has kept a balance of academic research and industrial deployment throughout his working life.

Fellow of IEEE and IET
Prof. Chip Hong Chang, Nanyang Technological University, Singapore

Chip Hong Chang received the B.Eng. (Hons.) degree from the National University of Singapore, in 1989, and the M. Eng. and Ph.D. degrees from Nanyang Technological University (NTU), Singapore, in 1993 and 1998, respectively. He served as a Technical Consultant in industry prior to joining the School of Electrical and Electronic Engineering (EEE), NTU, in 1999, where he is currently an Associate Professor. He holds joint appointments with the university as Assistant Chair of Alumni of the School of EEE from June 2008 to May 2014, Deputy Director of the 100-strong Center for High Performance Embedded Systems from 2000 to 2011, and Program Director of the Center for Integrated Circuits and Systems from 2003 to 2009. He has coedited five books, published 13 book chapters, more than 100 international journal papers (two-thirds are IEEE) and more than 180 refereed international conference papers. His research interests are hardware security, residue and unconventional number systems, low-power arithmetic circuits, digital filter design and digital image processing. He has delivered several keynotes and more than 30 invited colloquia, including tutorials at the 2017 Asia and South Pacific Design Automation Conference (ASP-DAC 2017) and 2017 IEEE International Symposium on Circuits and Systems (ISCAS 2017). He is the recipient of the 2006 NTU Research Outstanding and Award Recognition Scheme, the 2007 British High Commission Collaboration Development Award for Microelectronics and Embedded Systems and the 2007 Canada Microsystems Strategic Alliance of Quebec Collaboration Development Award, co-recipient of the PrimeAsia-2010 Gold Leaf and Silver Leaf Certificates, and coauthor of the finalist of AsianHOST 2019 best paper award, AsianHOST 2017 Cisco best paper award, ISCAS 2015 best student paper award competition and VLSI 95 best paper award.

Dr. Chang has served as Associate Editor for the IEEE Transactions on Circuits and Systems-I since 2020, from 2010–2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems since January 2011, IEEE Access from March 2013 to December 20, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems from January 2016 to December 2019, IEEE Transactions on Information Forensic and Security since January 2016, Springer Journal of Hardware and System Security since June 2016, Microelectronics Journal since May 2014, Integration, the VLSI Journal from 2013 to 2015, Editorial Advisory Board Member of the Open Electrical and Electronic Engineering Journal from 2007 to 2013, and the Editorial Board Member of the Journal of Electrical and Computer Engineering from 2008 to 2014. He also guest edited several journal special issues (including IEEE Transactions on Circuits and Systems-I and IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems) and served in the organizing and technical program committees of more than 60 international conferences (mostly IEEE). He has served in the 2019 and 2020 IEEE CASS Fellow Elevation Committee and 2020 IEEE CASS Distinguished Lecture Program Selection Committee. He is a Fellow of the IEEE and the IET, and an IEEE Circuits and Systems Society Distinguished Lecturer 2018-2019.

Prof. Yunchao Wei, Beijing Jiaotong University, China

Yunchao Wei is a full Professor of Beijing Jiaotong University. He was a Senior Lecturer of Australian Artificial Intelligence Institute at the University of Technology Sydney from 2019 to 2021. He was a Postdoctoral Researcher in Beckman Institute at UIUC from 2017 to 2019, and a Postdoctoral Researcher of National University of Singapore from 2016 to 2017. He received his Ph.D. degree from Beijing Jiaotong University in 2016. He was named as one of the five top early-career researchers in Engineering and Computer Sciences in Australia by The Australian in 2020. He received the Discovery Early Career Researcher Award of the Australian Research Council in 2019, the 1st Prize in Science and Technology awarded by China Society of Image and Graphics (CSIG) in 2019. He has published more than 80 papers in top-tier conferences/journals, Google Citation 7800+.  He received many competition prizes from CVPR/ICCV/ECCV,  such as the  Winner prizes of  ILSVRC 2014, LIP 2018/2019, Youtube VOS 2021, Runner-up Prizes of ILSVRC 2017, DAVIS 2020, etc. He organized many workshops on top-tier conferences, including Learning from Imperfect Data Workshop series (CVPR 2019, 2020, 2021) and Real-world Recognition from Low-quality Inputs Workshop series (ICCV 2019, ECCV 2020). His current research interest focuses on applying deep learning to computer vision tasks including classification, object detection, and segmentation.

Prof. Jinguang Han, Nanjing University of Finance and Economics, China

Jinguang Han is a professor at Nanjing University of Finance and Economics, China. He obtained his PhD degree from University of Wollongong in 2013. His research interests include cryptography, access control, cloud computing, network security, privacy-preserving systems, etc. He has published more than 60 academic papers in journals and conferences including IEEE TPDS, IEEE TC, IEEE TIFS, IEEE TDSC, ESORICS, etc. He was a program committee co-chair of ProvSec 2016, FCS 2019, SPNCE 2020, and served as a program committee member of over 100 international conferences including ESORICS'20, ACNS'20, ICICS'19, PST'18, CANS'17, GlobeCom'16, AsiaCCS'15, TrustComm'15. He is an associate editor of Soft Computing and an academic editor of Security and Communication Networks.