2022 5th International Symposium on Big Data and Applied Statistics (ISBDAS 2022)
Keynote Speakers
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Conference Keynote Speakers


Prof. Steven Guan

Xi'an Jiaotong-Liverpool University (XJTLU), China

Director for Research Institute of Big Data Analytics at Xi'an Jiaotong-Liverpool University (XJTLU)

Biography:Steven Guan received his BSc. from Tsinghua University and M.Sc. (1987) & Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor and the Director for Research Institute of Big Data Analytics at Xi'an Jiaotong-Liverpool University (XJTLU). 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 & ComputerEngineering Department at National University of Singapore as an associate professor for 8 years.


Assoc. Prof. Pavel Loskot, IEEE Senior Member

Zhejiang University-University of Illinois at Urbana-Champaign Institute (ZJUI), China

Biography: Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as the Associate Professor after being nearly 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. He is the Senior Member of the IEEE, Fellow of the Higher Education Academy in the UK, and the Recognized Research Supervisor of the UK Council for Graduate Education. His current research interest focuses on problems involving statistical signal processing and importing methods from Telecommunication Engineering and Computer Science to other disciplines in order to improve the efficiency and the information power of system modeling and analysis.


Assoc.Prof. Xiaohao Cai

School of Electronics and Computer Science, University of Southampton, UK

Biography: Xiaohao Cai is a Lecturer (Assistant Professor equivalent) in the School of Electronics and Computer Science at the University of Southampton. He received his PhD degree in mathematics from The Chinese University of Hong Kong in 2012. He afterwards was a Postdoctoral Researcher at the Department of Mathematics of the Technische Universitat Kaiserslautern in Germany. After that he was a Research Fellow (Wellcome Trust and Issac Newton Trust) affiliated with the Department of Plant Sciences and Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. Thenceforth, before joining Southampton, he was a Research Fellow in the Mullard Space Science Laboratory (MSSL) at University College London (UCL). He is Fellow of Advance HE in the UK. He has broad multi-disciplinary research interests in applied mathematics, statistics, and computer science, with main focus and applications in image/signal/data processing, optimisation, machine learning and computer vision. He has published over 40 peer-reviewed papers on top journals such as SIAM journals and IEEE transactions.


Assoc.Prof.Yongquan Yan

Shanxi University of Finance and Economics, China

Director of Hebei Key Laboratory of Data Science and Application, China

Biography: Yongquan Yan received the B.Eng. degree in Electrical Engineering and Automation from Taiyuan University of Technology, Shanxi, China. He received the M.Eng. degree in software engineering from Hunan University, Hunan, China. He received Ph.D. degree in computer software and theory from Beijing Institute of Technology. His current research interests includedependable Computing, machine learning, and software aging and rejuvenation.