Keynote Speaker I
Prof. Cheng-Zhong XU, University of Macau, Macau SAR, China (IEEE Fellow)
Dr. Cheng-Zhong Xu, IEEE Fellow, is the Dean of Faculty of Science and Technology and the Interim Director of Institute of Collaborative Innovation, University of Macau, and a Chair Professor of Computer and Information Science. He was a professor of Wayne State University and the Director of Institute of Advanced Computing of Shenzhen Institutes of Advanced Technologies, Chinese Academy of Sciences before he joined UM in 2019. Dr. Xu is a Chief Scientist of Key Project on Smart City of MOST, China and the principal investigator of the Key Project on Autonomous Driving of FDCT, Macau SAR.
Dr. Xu’s main research interests lie in parallel and distributed computing and cloud computing, in particular, with an emphasis on resource management for system’s performance, reliability, availability, power efficiency, and security, and in big data and data-driven intelligence applications in smart city and self-driving vehicles. The systems of particular interest include distributed systems and the Internet, servers and cloud datacenters, scalable parallel computers, and wireless embedded devices and mobile edge systems. He published two research monographs and more than 300 peer-reviewed papers in journals and conference proceedings; his papers received over 10K citations with an H-index of 58. He was a Best Paper Nominee or Awardee of the 2021 ACM Symposium on Cloud Computing (Socc’2021), 2013 IEEE High Performance Computer Architecture (HPCA), the 2013 ACM High Performance Distributed Computing (HPDC), IEEE Cluster’2016, ICPP’2005, GPC’2018, UIC’2018, AIMS’2019, IEEE Edge’2020. He also received more than 100 patents or PCT patents and spun off a business “Shenzhen Baidou Applied Technology” with dedication to location-based services and technologies. Dr. Xu received the most prestigious “President’s Awards for Excellence in Teaching” of Wayne State University in 2002.
He serves or served on a number of journal editorial boards, including IEEE Transactions on Computers (TC), IEEE Transactions on Cloud Computing (TCC), IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Parallel and Distributed Computing (JPDC), Science China: Information Science and ZTE Communication. Dr. Xu has been the Chair of IEEE Technical Committee on Distributed Processing (TCDP) from 2015 to 2020. He obtained BSc and MSc degrees from Nanjing University in 1986 and 1989 respectively, and a PhD degree from the University of Hong Kong in 1993, all in Computer Science and Engineering.
Keynote Speaker II
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 III
Prof. Huiyu Zhou, University of Leicester, UK
Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 400 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.
Keynote Speaker IV
Assoc. Prof. Zhu Shengxin, Beijing Normal University, China
Dr. Shengxin Zhu received his B. S. degree in information and computational science from Xiamen University and Ph.D. degree in Numerical analysis from University of Oxford. He had been working for VSN international Ltd, a breeding software company, as a knowledge transfer associate. He was a senior lecturer in applied mathematics in Xi’an Jiaotong-Liverpool University. He is currently holding a dual position in the joint research center for mathematics Beijing Normal University and BNU-HKBU united international college as an associate professor in mathematics in Beijing Normal University and an associate professor in data science in UIC. Dr Zhu’s research interests include high performance computing, computational statistics and recommender system. He was the PI for a National Science Foundation of China, and co-PI for several NSFC funded projects. He is a member of IEEE, ACM, SIAM and CSAIM.