Prof. Yudong Zhang

IET Fellow, EAI Fellow, BCS Fellow, IEEE Senior Member, ACM Senior Member, ACM Distinguished Speaker

University of Leicester, UK
King Abdulaziz University, SA

Areas of Expertise:
Medical image processing, Biomedical engineering, deep learning and medical image analysis

Bio: Prof. Yudong Zhang works at University of Leicester. His research interests include deep learning and medical image analysis. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE and ACM. He is the Distinguished Speaker of ACM. He was 2019, 2021 & 2022 recipient of Clarivate Highly Cited Researcher. He has (co)authored over 400 peer-reviewed articles. There are more than 60 ESI Highly Cited Papers and 6 ESI Hot Papers in his (co)authored publications. His citation reached 28912 in Google Scholar (h-index 95). He is the editor of Neural Networks, IEEE TITS, IEEE TCSVT, IEEE JBHI, etc. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, British Council, GCRF, EPSRC, MRC, BBSRC, Hope, and NSFC. He has served as (Co-)Chair for more than 60 international conferences (including more than 20 IEEE or ACM conferences). More than 70 news presses have reported his research outputs, such as Reuters, BBC, Telegraph, Mirror, Physics World, UK Today News, etc.

Prof. Seifedine Kadry

IET Fellow, IETE Fellow, IACSIT Fellow, IEEE Distinguished Speaker

Department of Applied Data Science, Noroff
University College, Norway

Areas of Expertise:
Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics

Bio: Professor Seifedine Kadry has a Bachelor degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.

Prof Wanyang Dai

Department of Mathematics, Nanjing University, China

Areas of Expertise:
Stochastic processes related optimization and Pareto optimal control/game, admission/scheduling/routing protocols and performance analysis/optimization for BigData-Blockchain oriented quantum-cloud computing and wireless/wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and their applications to queueing systems, Internet of Things, energy and power engineering

Bio: Wanyang Dai is a Distinguished Professor in Mathematics Department of Nanjing University, Chief Scientist at Su Xia Control Technology, President & CEO of U.S. based (Industrial 6.0) SIR Forum, President of Jiangsu Probability & Statistics Society, Chairman of Jiangsu Big Data-Blockchain and Smart Information Special Committee, Chief Scientist at Depths Digital Economy Research Institute, Editor-in-Chief of Journal of Advances in Applied Mathematics, editors of over 20 international journals ranging from pure mathematics to its applications (e.g., Wireless Engineering and Technology), General Chairs and plenary/keynote speakers of over 40 IEEE/ACM, mathematics & statistics, and international conferences; (Was) a Review Committee Chair in mathematics/stochastic analysis of National Natural Science Awards (the national highest awards).

Prof. Zhiquan Liu

College of Cyber Security, Jinan University, China

Areas of Expertise:
Telematics Security, Web Security, Data Security, Trust Modeling, Privacy Computing, Blockchain, Artificial Intelligence, etc.

Bio: Prof. Zhiquan Liu has published more than 80 SCI/EI papers in IEEE JSAC, IEEE TIFS, IEEE TDSC, IEEE TMC, IEEE TKDE, IEEE TPAMI, IEEE TITS, IEEE IOTJ, IEEE TVT, IEEE TII, IEEE TCSVT, IEEE TCC, IEEE Network, Science China Information Sciences, Information Fusion, Information Sciences, Pattern Recognition, IEEE ICWS, IEEE WCNC, IEEE ICWS, IEEE WCNC, ICA3PP, ACISP, Journal of Computing, and other domestic and international authoritative journals/conferences (of which more than 40 papers in CCF A/ CAS Zone 1/TOP journals, 4 best papers in international conferences, 2 most popular papers in international journals (selected for many months in a row), 1 ESI hot paper, and 2 ESI highly cited papers); and he publishes Web, Java, C/C++, Python, Big Data, and so on, C/C++, Python, Big Data, etc. he has applied for more than 100 national invention patents/foreign invention patents/PCT patents (of which 5 have been transformed).

Prof. Zeshui Xu

Distinguished Fellow of IETI, Fellow of IEEE, IFSA, RSA, IET, ORS, BCS, IAAM, AAIA, and VEBLEO

Business School, Sichuan University, China

Areas of Expertise:
Decision-making theory and methodology, optimization algorithms, information fusion, and big data analytics

Bio: Zeshui Xu received the Ph.D. degree in management science and engineering from Southeast University, Nanjing, China, in 2003. From October 2005 to December 2007, he was a Postdoctoral Researcher with School of Economics and Management, Tsinghua University, China. He was a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholar of the Ministry of Education of China. He is currently a Chair Professor with Sichuan University, Chengdu. He has been elected as the member of AE, EASA, EANW, and IASCYS, the Distinguished Fellow of IETI, the Fellow of IEEE, IFSA, RSA, IET, ORS, BCS, IAAM, AAIA, and VEBLEO. He is ranked 30th in 2019 single year scientific impact and 162th in career scientific impact among World’s top 100,000 Scientists, and ranked 40th among the World’s best scientists in the arena of Computer Science in 2023. He has published 19 monographs by Springer and contributed more than 870 SCI/SSCI articles to professional journals. He is among the world’s top 1% most highly cited researchers with more than 86,000 citations in Google Scholar, his h-index is 146. He is currently the Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, Information Sciences, Artificial Intelligence Review, Cognitive Computation, Applied Intelligence, Journal of the Operational Research, Fuzzy Optimization and Decision Making, etc. His current research interests include Decision-making theory and methodology, optimization algorithms, information fusion, and big data analytics.

Prof. Salah Bourennane

Ecole Centrale Marseille and GSM, Institut Fresnel, France

Areas of Expertise:
statistical signal processing, array processing, image processing, multidimensional signal processing, hyperspectral image processing, and performance analysis

Prof. Hui Yang

IET Fellow

School of Electronic Engineering, Beijing University of Posts and Telecommunications, China

Areas of Expertise:
Optical Networks; Data Center; Network; Software Defined Network; Optimization; Fiber Optic Communication; Network Architecture; Networking; Cloud Computing

Prof. João Manuel R. S. Tavares

Faculdade de Engenharia da Universidade do Porto, Portugal

Areas of Expertise:
Computational vision, medical imaging, scientific visualization, biomechanics, biomedical engineering, and new product development

Prof. Huchang Liao

Fellow of IFSA, IET, BCS, RSA

Business School, Sichuan University, China

Areas of Expertise:
Fuzzy Set Theory, Group Decision Making, Fuzzy Logic, Multiple-Criteria Decision Analysis, Soft Computing, Evidential Reasoning Technique

Prof. Jyh-Cheng Chen

Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming Chiao-Tung University, China

Areas of Expertise:
Imaging, PET, SPECT, Computed Tomography, PET Imaging

Assoc. Prof. Ioan Sacală

University Politehnica of Bucharest, Romania

Areas of Expertise:
Information Systems, Wireless Sensor Networks, Cyber-Physical Systems, Advanced Communication Systems, Internet of Things

Prof. Yongsheng Dong

IEEE & CCF Senior Member

School of Information Engineering, Henan University of Science and Technology, China

Areas of Expertise:
Computer Vision and Pattern Recognition, Artificial Intelligence and Machine Learning, Statistical Estimation and Computing

Prof. Dimiter Velev

Department of Informatics, University of National and World Economy, Bulgaria

Areas of Expertise:
Information technology, web science, cloud computing, mobile computing, online social networks, natural disasters, risk management, integrated information systems for disaster management, applied artificial intelligence, cybersecurity, and extended reality

Prof. Xudong Jia

College of Engineering and Computer Science, California State University, USA

Areas of Expertise:
Artificial Intelligent, Geographical Information Systems (GIS), big data applications in civil engineering, earthquake pre-warning systems, Intelligent Transportation Systems (ITS), design of transportation facilities, urban transportation planning, and regional integration of transportation systems

Assoc. Prof. Alexey Nekrasov

Institute for Computer Technologies and Information Security, Southern Federal University, Russia

Areas of Expertise:
Information technology and security, electrical engineering, remote sensing, scattering from rough surfaces, radar system design

Prof. Fang Hu

College of Information Engineering, Hubei University of Chinese Medicine, China

Areas of Expertise:
Graph Machine Learning, Mobile Computing, Blockchain, and Big Data Analytics