Keynote Speaker I
Prof. Chin-Chen Chang, Feng Chia University,Taiwan (IEEE Fellow and CS Fellow, Chair Professor and IET Fellow, AAIA Fellow)
Professor Chang has worked on many different topics in information security, cryptography, multimedia image processing and published several hundreds of papers in international conferences and journals and over 30 books. He was cited over 42,365 times and has an h-factor of 94 according to Google Scholar. Several well-known concepts and algorithms were adopted in textbooks. He also worked with the National Science Council, Ministry of Technology, Ministry of Education, Ministry of Transportation, Ministry of Economic Affairs and other Government agencies on more than 100 projects and holds 23 patents. He served as Honorary Professor, Consulting Professor, Distinguished Professor, Guest Professor at over 50 academic institutions and received Distinguished Alumni Award's from his Alma Master's. He also served as Editor or Chair of several international journals and conferences and had given almost a thousand invited talks at institutions including Chinese Academy of Sciences, Academia Sinica, Tokyo University, Kyoto University, National University of Singapore, Nanyang Technological University, The University of Hong Kong, National Taiwan University and Peking University. Professor Chang has mentored 7 postdoctoral, 66 PhD students and 200 master students, most of whom hold academic positions at major national or international universities. He has been the Editor-in-Chief of Information Education, a magazine that aims at providing educational materials for middle-school teachers in computer science. He is a leader in the field of information security of Taiwan. He founded the Chinese Cryptography and Information Security Association, accelerating information security the application and development and consulting on the government policy. He is also the recipient of several awards, including the Top Citation Award from Pattern Recognition Letters, Outstanding Scholar Award from Journal of Systems and Software, and Ten Outstanding Young Men Award of Taiwan. He was elected as a Fellow of IEEE and lET in 1998, a Fellow of CS in 2020, an AAIA Fellow in 2021.
Keynote Speaker II
Prof. Yonghui Li, The University of Sydney, Australia (IEEE Fellow/ ARC Future Fellow)
Yonghui Li received his PhD degree in November 2002. Since 2003, he has been with the Centre of Excellence in Telecommunications, the University of Sydney, Australia. Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of the Australian Research Council (ARC)Queen Elizabeth II Fellowship in 2008 andARC Future Fellowship in 2012. He is an IEEE Fellow. His current research interests are in the area of wireless communications, with a particular focus on IoT, machine to machine communicaitons, MIMO, millimeter wave communications, channel coding techniques, game theory, machine learning and signal processing. Li holds a number of patents granted and pending in these fields. Professor Li was an editor for IEEE transactions on communications, IEEE transactions on vehicular technology and guest editors for several special issues of IEEE journals, such as IEEE JSAC, IEEE IoT Journals, IEEE Communications Magazine. He received several best paper awards. He has published one book, more than 260 papers in premier IEEE journals and more than 150 papers in premier IEEE conferences. His publications have been cited more than 18000 times. Six of his papers have been included as ISI high cited papers by ESI Web of Science, defined as top 1% of papers in the field. Several of his papers have been the top most 10 most cited papers in the respective journals since the year it was published. Li has attracted more than $10 million in competitive research funding over the past 10 years, including 10 ARC grants. He has participated in $500 Millions Australia national demonstration project “Smart Grid Smart City” and designed last mile access networks.
Keynote Speaker III
Prof. Qiu Daowen, Sun Yat-sen University, China
My main research outcomes have been in the following areas. (1) Quantum models of computation. (2) Quantum query algorithms. (3) Quantum cryptograpy and quantum communication. (4) Quantum states distinguishablility and quantum states cloning. (5) Theory of computation based on quantum and lattice-valued logic. (5) The applications of fuzzy and probabilistic automata to discrete event systems, focusing on diagnosability and supervisory control.
We have published over 130 papers in peer-review journals, and over 25 conferences papers. More specifically, (1) we have systematically studied a number of different QFA (quantum finite automata) models, and solved the decidability of equivalence and minimization of these QFA models (D. Qiu, L. Li, X. Zou, P. Mateus, J. Gruska, Acta Informatica, 2011, 48 (5-6): 271-290; P. Mateus, D. Qiu, L. Li, Information and Computation, 2012, 218: 36-53;L. Li, D. Qiu, Theoretical Computer Science, 2008, 403(1): 42-51). Therefore, we have answered the problems of how to decide the equivalence of quantum sequential machines proposed by Professor Gudder, and how to decide the equivalence of MM-1QFA proposed by Professor Gruska. In particular, we have answered the problems of how to minimize QFAs proposed by Moore and Crutchfield. We proposed a model of quantum-classical finite automata, named as one-way quantum ﬁnite automata together with classical states (D. Qiu, L. Li, P. Mateus, A. Sernadas, Journal of Computer and System Sciences, 2015, 81(2): 359-375). Also, we have studied some properties of 2QFAC, quantum pushdown automata, and quantum Turing machines. (2) We have proved the characterization of all Boolean functions that can be solved by quantum 1-query algorithm. (3) We have studied quantum states discrimination and quantum cloning machines, and we have derived some bounds on unambiguous discrimination and minimum-error discrimination (some bounds are optimal to a certain extent), and some relationships between unambiguous discrimination and minimum-error discrimination have been clarified. Also, we have established a generic machine model of probabilistic cloning and deleting, and proposed a universal probabilistic deleting machine. (4) We have studied quantum teleportation and superdence coding based on different entangled states (W-states). (5) We have studied semi-quantum cryptography and proved that a semi-quantum key distribution protocol is unconditional security. (6) We have discovered some essential connections between quantum logic and models of computation, and we have established residuated lattice-valued automata theory (D. Qiu, Information and Computation, 2004, 190(2): 179-195). (6) We have established a fundamental framework of the supervisory control for fuzzy discrete event systems (FDES) and developed the supervisory control of probabilistic discrete event systems (PDES), using fuzzy automta and probabilistic automata, respectively.
Keynote Speaker IV
Prof. Yan Yang, Southwest Jiaotong University, China
Yan Yang received her B.Sc. and M.Sc. degree from the Huazhong University of Science and Technology in 1984 and 1987 respectively. She received her PhD degree in Traffic Information Engineering and Control in 2007 from Southwest Jiaotong University. In 2002/2003 and 2004/2005 she worked as a visiting scholar at the Center of Pattern Analysis and Machine Intelligence (CPAMI) in Waterloo University, Canada. She was also a visiting professor at the University of Illinois at Chicago, USA in 2018. She is currently Professor, Vice Dean of School of Computing and Artificial Intelligence and holds an Academic and Technical Leader of Sichuan Province. She is responsible for national first-class undergraduate major "computer science and technology". Prof. Yang has participated in more than 10 high-level projects recently. And has taken charge of three programs supported by the National Natural Science Foundation of China (NSFC), one Project of National Science and Technology Support Program, etc. She has authored and co-authored over 200 papers (e.g., IEEE Transaction on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Cloud Computing) in journals and international conferences (e.g., IJCAI, ICDM, EMNLP). 1 special issue of international journal, 1 proceeding, applying for/obtaining more than 10 authorized Chinese invention patents. She has served as conference chair, program chair, organizing chair, TPC member of many international conferences, and serves as an associate editor of International Journal of Big Data Mining and Analytics. She was a meeting review expert of the National Natural Science Award, Science and Technology Progress Award and Technology Invention Award. She won the special award of Zhan Tianyou Railway Science and Technology Award, and first prize of computer science and technology of Sichuan Province (Sichuan Computer Society).
rof. Yang is a distinguished member of CCF, a senior member of CAAI, a member of IEEE, ACM, ACM SIGKDD, CCF Artificial Intelligence and Pattern Recognition, CCF Theoretical Computer Science, CCF Task Force on Big Data, CCF Education Work, CAAI Machine Learning, CAAI Grain Calculation and Knowledge Discovery Committee, Vice Chair of ACM Chengdu Chapter, Director of ACM SIGCSE China Chapter, Vice president of Sichuan Computer Society, Vice Chair of Big Data Industry University Research Committee of Sichuan Electronics Society and Director of Sichuan Artificial Intelligence Society.
Keynote Speaker V
Prof. Steven Guan, Xi'an Jiaotong-Liverpool University, China
Steven Guan received his BSc. from Tsinghua University and M.Sc. & Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor at Xi'an Jiaotong-Liverpool University (XJTLU) and Honorary Professor at University of Liverpool. He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK. Prof. Guan has worked in a prestigious R&D organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined the academia for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information & Communication Technology. Later he joined the Electrical & Computer Engineering Department at National University of Singapore as an associate professor for 8 years.
Prof. Guan’s research interests include: machine learning, computational intelligence, big data analytics, mobile commerce, modeling, networking, personalization, security, and pseudorandom number generation. He has published extensively in these areas, with 140+ journal papers and 200+ book chapters or conference papers. He has chaired, delivered keynote speech for 100+ international conferences and served in 180+ international conference committees and 20+ editorial boards. There are quite a few inventions from Prof. Guan including Generalized Minimum Distance Decoding for Majority Logic Decodable Codes, Prioritized Petri Nets, Self-Modifiable Color Petri Nets, Dynamic Petri Net Model for Iterative and Interactive Distributed Multimedia Presentation, Incremental Feature Learning, Ordered Incremental Input/Output Feature Learning, Input/Output Space Partitioning for Machine Learning, Recursive Supervised Learning, Reduced Pattern Training using Pattern Distributor, Contribution Based Feature Selection, Incremental Genetic Algorithms, Incremental Multi-Objective Genetic Algorithms, Decremental Multi-objective Optimization, Multi-objective Optimization with Objective Replacement, Incremental Hyperplane Partitioning for Classification, Incremental Hyper-sphere Partitioning for Classification, Controllable Cellular Automata for Pseudorandom Number Generation, Self Programmable Cellular Automata, Configurable Cellular Automata, Layered Cellular Automata, Transformation Sequencing of Cellular Automata for Pseudorandom Number Generation, Open Communication with Self-Modifying Protocols, etc.