Committee

Wanyang Dai is a Distinguished Professor in Nanjing University, Chief Scientist in Su Xia Control Technology. He is the President & CEO of U.S. based (Blockchain & Quantum-Computing) SIR Forum, President of Jiangsu Probability & Statistical Society, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee. He received his Ph.D. in mathematics and systems & industrial engineering from Georgia Institute of Technology in USA. He was an MTS and principal investigator in U.S. based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called cloud system. He was the Chief Scientist in DepthsData Digital Economic Research Institute. He published numerous influential papers in big name journals including Mathematics, Probability in the Engineering and Informational Sciences, Quantum Information Processing, Operations Research, Operational Research, Queueing Systems, Computers & Mathematics with Applications, Communications in Mathematical Sciences, and Journal of Computational and Applied Mathematics. He received various academic awards and has presented over 60 keynote/plenary speeches in IEEE/ACM, big data and cloud computing, artificial intelligence and robot, quantum computing and communication technology, computational and applied mathematics, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief and editorial board members for various international journals ranging from artificial intelligence, machine learning, data science, wireless communication, pure mathematics & statistics to their applications.

Dr. 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 500 peer-reviewed papers in the field. His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.

Dr. Shadloo is an Associate Professor, since Sept. 2015, at the National Institute of Applied Science (INSA), Rouen and a Researcher at Coria Lab. (CNRS-UMR 6614). Dr. Shadloo is actively engaged in the fields of (i) (aero-) hydrodynamics, turbulence, transitional boundary layers as well as (ii) multiphase, multi-physics fluid flows and heat transfer for the last 10 years. His expertise is mainly in theoretical and computational fluid dynamics (CFD), but has also been active in developing validation strategies and guidelines for CFDist. He aims to develop a new generation high-order coupled algorithm for compressible/incompressible fluid flows with complex physical behaviors, in relation to industrial applications. In this framework, he uses high-performance computing (HPC), high-fidelity direct numerical simulations (DNS) and large-eddy simulations (LES), as well as advance machine learning (ML) techniques to decipher complex instabilities and flow behaviors caused mainly by multi-phase and/or turbulent flows, with heat transfer and compressibility effects. "

Lei Chen received the B.Sc. and M.Sc. degrees in electrical engineering from Shandong University, Jinan, China, and the Ph.D. degree in electrical and computer engineering from University of Ottawa, Ontario, Canada. He is currently an Associate Professor with the School of Information Science and Engineering, Shandong University, China. His research interests include image processing and computer vision, visual quality assessment and pattern recognition, machine learning and artificial intelligence. He was the principal investigator of projects granted from the National Natural Science Foundation of China, National Natural Science Foundation of Shandong Province, China Postdoctoral Science Foundation, etc. He has published more than 50 papers on top international journals and conferences in recent years including IEEE TIP, Signal Process., ICME, etc. He was awarded the Future Plan for Young Scholars of Shandong University. He served for many international conferences including the ICIGP 2021, CSAI2022, MLCCIM2022, and ICIVC 2023 as Program Chair, Technical Chair or Publicity Chair.

Prof. Patrick Siarry was born on May 28, 1952, in Pertuis. His research area is relatively (since 1982) new “metaheuristic” optimization such as simulated annealing, which are indicated for the so-called problems of “hard optimization” because of their ability to avoid in principle, trapping in sub-optimal solutions. This topic is multidisciplinary in nature, both by the source of the methods studied (physics, biology, ethology). Much of his work is explicitly one or the other keywords – in particular, modeling, identification, learning rule bases (artificial intelligence), control, nondestructive testing and maintaining the biological and medical engineering.

Xiaoyan Dai has received her Ph.D. in image processing from Muroran Institute of Technology in Japan in 2004, specializing in computer vision and machine learning. Since then, she has focused on image processing and document processing at Canon Inc. In 2019, she joined the Research Center of Kyocera Corporation as an Expert. Her current interests include deep learning and computer vision for object detection, fraud detection, object recognition, and object tracking. She serves as an organizing committee member for multiple international conferences. She is also a speaker at several international conferences.

Yuchen Jiang, Ph.D., is an Associate Professor and Doctoral Supervisor at Harbin Institute of Technology. Mainly engaged in research on data-driven fault diagnosis, security monitoring and defense, as well as their applications in industrial cyber physical systems. Published over 50 SCI journal articles, with 8 selected as ESI highly cited papers. Hosted 5 national or provincial-level projects. Served as a member of the "Fault Diagnosis and Safety of Technical Process "Professional Committee and the "Process Control"Professional Committee of the Chinese Association of Automation, a national graduate education evaluation and monitoring expert of the Ministry of Education, a member of the "Data Driven Control and Monitoring" Technical Committeeand the "Industrial Cyber-Physical Systems" Technical Committee of the IEEE Industrial Electronics Society, and a Senior Member of IEEE. Serving as an editorial board member for top journals such as IEEE Transactions on Industrial Informatics and IEEE Transactions on Industrial Cyber Physical Systems.

Petr Hajek is currently a Professor with the Science and Research Centre, Faculty of Economics and Administration, University of Pardubice, Czech Republic. He is the author or coauthor of five books and more than 100 articlesin leading journals such as the Information Sciences, Decision Support Systems and Knowledge-Based Systems. His current research interests include financial decision making, sentiment analysis and knowledge-based systems. He is a fellow of the ACM, KES and AIS. He has served on many international program committees and he is also a member of the editorial board of several international leading journals, such as Neurocomputing and Evolving Systems. He was a recipient of the Rector Award for Scientific Excellence in 2018 and 2019, respectively, and six Best Paper Awards at international scientific conferences.

Yilun Shang received his B.S. and Ph.D. degrees in Mathematics from Shanghai Jiao Tong University. He is currently an Associate Professor of Computer Science and the Head of Subject for Data Science and Artificial Intelligence at Northumbria University. His research interests include complex networks and systems, probability and analysis, algebra and combinatorics, algorithms and optimization, data science and artificial intelligence.

Ying Huang received the B.E. and M.E. degrees from Wuhan University, China, in 1999 and 2002, respectively, and a Ph.D. in signal and information processing from the University of Electronic Science and Technology, China, in 2012. In 2002, he joined the Institute of computer science and technology, Chongqing University of Posts and Telecommunications, as a lecturer and associate professor. Since Dec. 2014, he has been with the school of software engineering at the same university. He is a visiting scholar at university of British Columbia. His current research interests include image fusion and intelligent information processing. He is a senior member of CCF and a member of IEEE. He has published a monograph, obtained six authorized patents, published more than 20 papers on SCI, EI, and other journals and conferences, and is a reviewer of CVPR, ECCV, Information Fusion, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Intelligent Vehicles, IET image processing, and other journals.

Dayan Liu received his Ph.D. degree in Applied Mathematics from University of Lille 1, France, in 2011. From 2012 to 2013, he held postdoctoral positions in Arts et Métiers Paris Tech, France and at KAUST in Saudi Arabia. Currently, Dr. Liu is Associate Professor in INSA Centre Val de Loire, where he belongs to Control Team in PRISME Laboratory. In January 2022, he earned the Accreditation to Supervise Research (HDR).His research interests mainly focus on identification and estimation methods. Dr. Liu has published more than100 papers in international journals and conferences, and has supervised 12 Ph.D. students (10 have defended). Moreover, he has participated in more than 10 Chinese, French and American research projects. He is a Technical Committee Member of CAA: Fractional Order Systems and Control, and IFAC: 2.2 Linear Control Systems an Editorial Board Member of Fractal and Fractional, and a Guest Editor of 5 Special Issues.