Invited Speakers 特邀专家报告

 

Prof M. S. S. El Namaki，
Dean of the VU School of Management, Switzerland

 

Prof El Namaki is a graduate of the universities of Brussels (Ph. D, 1977), Erasmus (MA, 1967) and MIT (Executive Program, 1982). Prof El Namaki teaches and consults on strategic thinking, entrepreneurship and international business. He is past founder and Dean of the Maastricht School of Management (MSM), Maastricht, The Netherlands (1984-2002). He is now Dean of the VU School of Management, Switzerland. Prof El Namaki has developed and introduced management degree programs (MBA, EMBA, DBA and Ph. D) at institutions in the Netherlands, China, Egypt, Brazil, Poland, Kazakhstan, Syria, Singapore, Malaysia and Indonesia, among others.
Prof El Namaki taught and consulted globally at as recognized institutions as MSM (Maastricht), Helsinki School of Economics (Helsinki), Sheffield University (Sheffield) Kellogg (Chicago), Jiao Tong University (Shanghai), Beijing University (Beijing), AIT (Bangkok), His latest book publications include “Strategic thinking in the age of artificial intelligence “ (2022) and Macmillan’s “ Neo Strategic Management, Conceptual and Operational Foundations of tomorrow’s strategic thinking” (Sept 2023).

Prof. Fairouz Dib Kamareddine
Heriot-Watt University in Scotland, UK

 

Professor of Theoretical Computer Science in Heriot-Watt University in Scotland, UK. Fairouz Kamareddine has been involved in a number of worldwide consultancy assignments, especially on education and research issues working for United Nations and the EU. Her research interest includes Interface of Mathematics, Logic and Computer Science. She has held a number of invited positions at universities in Europe, Asia and the Americas. She has well over 200 published articles and a number of books. She dedicated to continue to play leading roles in the development, administration, and implementation of interdisciplinary, international, and academic collaborations and networks.

 


Prof. Thomas Hanne
University of Applied Sciences and Arts Northwestern Switzerland,Switzerland

Thomas Hanne received master's degrees in Economics and Computer Science, and a PhD in Economics. From 1999 to 2007 he worked at the Fraunhofer Institute for Industrial Mathematics (ITWM) as senior scientist. Since then he is Professor for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland and Head of the Competence Center Systems Engineering since 2012. He is also Honorary Research Chair Professor at Bennett University, Greater Noida, India since 2023.
Thomas Hanne is author of more than 250 journal articles, conference papers, and other publications and editor of several journals and special issues. His current research interests include computational intelligence, evolutionary algorithms, metaheuristics, optimization, simulation, multicriteria decision analysis, machine learning, natural language processing, large language models, systems engineering, software development, logistics, and supply chain management.

 

Assoc.Prof. Xing Su
Beijing University of Technology, China


Xing Su is an associate professor in the College of ComputerScience, Beijing University of Technology, China. He received his B.Sc in the Schoolof Software Engineering from Beijing University of Technology in 2007. Hereceived his M.Sc and Ph.D in computer science from University of Wollongong,Australia in 2012 and 2015. His research interests include multi-agent system, reinforcementlearning, intelligent transportation system and service-oriented computing.

 

Assoc. Prof. Chang Liu
University of Chinese Academy of Sciences, China
 

Assoc. Prof. Liu Chang has long been engaged in theoretical and applied research on complex manufacturing process modeling, production scheduling, and intelligent optimization. She has undertaken multiple national level science and technology projects, including the 863 Program, National Major Science and Technology Projects, and Natural Science Foundation. Her group have accumulated rich theoretical and applied research experience in complex manufacturing system production scheduling and intelligent optimization, as well as closed-loop optimization of production scheduling based on data and knowledge dual drive, forming a comprehensive and in-depth method system. Assoc. Prof. Liu has published over 50 academic papers, over 20 patents and software copyrights, and won the first prize of provincial and ministerial level scientific and technological progress, invention patent award, and 5 scientific research achievements. The "Zhongke Yunyi Intelligent Scheduling System" developed under her leadership, which has been practically applied in discrete and semi process industries.

 

 

Assoc. Prof. Xin Lu，
Leeds Trinity University, UK

Dr. Xin Lu is an Associate Professor in Computer Science, currently leading research activities at the School of Computer Science at Leeds Trinity University (LTU). With over a decade of dedicated research, Dr. Lu specializes in the design of Big Data analytics and deep learning-empowered Internet of Things (IoT) frameworks for applications spanning Smart Factory and Smart Home domains. His current research endeavors focus on advancing Big Data analysis and deep learning methodologies tailored for Smart Systems, with particular emphasis on Intelligent Manufacturing, Digital Healthcare, and Smart City domains. Noteworthy areas of investigation include Intelligent Edge/Fog-enabled IoT systems and human-robot collaboration methodologies pertinent to Intelligent Manufacturing and Digital Health contexts. Dr. Lu's research interests encompass a spectrum of topics, including Digital Twins, Deep Learning, Generative Artificial Intelligence (AI) in Higher Education, Human-Robot Collaborations, Big Data Analytics, Intelligent Manufacturing, Internet of Things, and TinyML.
 

Assoc. Prof. Ian Tan
Heriot-Watt University's Malaysia, UK

 

Dr. Ian Tan is an Associate Professor in Computer Science and currently serves as the Head of School, Mathematical and Computer Sciences at Heriot-Watt University's Malaysia campus. With over a decade of industry experience spanning microprocessor manufacturing, enterprise servers, and telecommunications, he brings a unique perspective to academia. Since 2006, Dr. Tan has made significant contributions in teaching, research, and administrative roles, including as Head of Commercialisation and as Industry Engagement Coordinator.
His research focuses on parallel and distributed systems, particularly in operating systems scheduling and blockchain technology, specifically for the latter, in network communication across distributed networks. He is also actively involved in multimedia data analytics, specifically automated essay scoring. Dr. Tan holds a Ph.D. in Information Technology from Multimedia University, an M.Sc. in Parallel Computers and Computation from the University of Warwick, and a B.Eng. in Information Systems Engineering from Imperial College London.

 

 

The previous speakers

Prof. Longyu Jiang
Southeast University, China

Longyu Jiang, female, Ph.D., is a professor and Ph.D. supervisor in the School of Computer Science and Engineering, Southeast University.
She received her B.S., M.S. and Ph.D. degrees in engineering from Wuhan University, Southeast University and University of Grenoble, France, respectively, and is now a professor and Ph.D. supervisor in the School of Computer Science and the School of Software of Southeast University. His research interests include hydroacoustic signal and image processing, magnetic resonance reconstruction algorithms, artificial intelligence and big data. He is also a member of IEEE member, member of Visual Sensing Committee of China Graphic Image Association, member of Underwater Communication Committee of Jiangsu Communication Association, Correspondence Reviewer of the National Natural Science Foundation of China, and an expert of Scholarship Council of China in the evaluation of overseas programs.

 

Assoc. Prof. Lei Chen
Shandong University, China

 

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 40 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. Chengwei Yang
Beijing Institute of Technology, China

Chengwei Yang is a professor, doctoral supervisor and Dean Assistant of the School of Mechatronical Engineering of Beijing Institute of Technology. He was jointly trained by Chinese Academy of Sciences and McGill University of Canada during his doctoral degree. His main research area is swarm Intelligent unmanned systems. He has published more than 30 academic papers, been authorized 12 patents, completed 2 scientific and technological achievements, and published 1 academic monograph. Now he is the member of the Swarm Intelligence and Collaborative Control Professional Committee of the China Command and Control Society and a standing member of the Youth Work Committee. He is also a reviewer of the National Natural Science Foundation and has participated in the demonstration work of several national major key projects. He presides over a number of National Natural Science Fund projects, national special major sub-projects, pre-research projects and some other fund projects.


Prof. Hongwei Mo
Harbin Engineering University, China

Mo Hongwei is a professor, doctoral supervisor, and director of the Brain-inspired Computing and Artificial Intelligence Research Center at the School of Intelligent Science and Engineering, Harbin Engineering University. Director of Heilongjiang Provincial Key Laboratory of Multidisciplinary Cognitive Cognitive Artificial Intelligence Technology and Application. Deputy Director of the Natural Computing and Digital Intelligence City Special Committee of the Chinese Artificial Intelligence Society, Standing Committee Member of the Aerospace Intelligence System Special Committee of the Chinese Artificial Intelligence Society, and member of the Intelligence Medical Special Committee of the Chinese Artificial Intelligence Society. Expert Committee of Brain-like Computing of Chinese Society of Neuroscience. He undertook and completed 26 projects of the National Natural Science Foundation of China, the National Defense Pre-research, the New Generation Artificial Intelligence 2030 Major Project of the Ministry of Science and Technology, and the Heilongjiang Provincial Key R&D Program Artificial Intelligence Special Project, published more than 90 papers, and published 6 monographs, "Artificial Intelligence". 4 textbooks including "Introduction", and 10 authorized invention patents. Received 4 provincial and ministerial level science and technology awards. Author of Outstanding Papers in "Journal of Intelligent Systems" in 2021. He is the co-chair of the 2013 International Conference on Swarm Intelligence, the co-chair of the 2017 International Conference on Biologically Inspired Computation Theory and Applications (BICTA2017), and the chairman of the organizing committees and program committee members of more than 40 international conferences. He is on the editorial board of many international and domestic journals such as Chinese Journal of Electronics.

Assoc. Prof. Xinming Zhang
Harbin Institute of Technology, China

Zhang Xinming, associate professor, doctoral supervisor. In September 2006, he obtained a PhD in Science and Technology of Harbin Institute of Technology. 2006.10-2008.10 was engaged in post-doctoral research at Harbin Institute of Technology Shenzhen Graduate School, and has joined Harbin Institute of Technology (Shenzhen) to this day in 2008.10. 2016.8-2017.8 as a visiting scholar at Michigan State University (Michigan State University). As a host, 7 items of scientific research projects, including the National Natural Science Foundation (Youth Fund), Chinese Postdoctoral Fund, Guangdong Natural Science Foundation Scientific research projects, as the main participants participating in the four scientific research projects, including the National Natural Science Foundation of China, have published more than 50 related papers in important academic journals at home and abroad, including more than 30 SCI retrieval.


Assoc. Prof. Lei Zhang
Tianjin University, China

Lei Zhang received her Ph.D. degree in Computer Science from Auburn University (Auburn, AL, USA) in 2008. She worked as an assistant professor from 2008-2011 in the Computer Science Dept. at Frostburg State University (Frostburg, MD, USA); She is now an associate professor in College of Intelligence and Computing at Tianjin University (Tianjin, P.R. China), where she is a member of Tianjin Key Laboratory of Advanced Network Technology and Application. Her research interests include mobile computing, computer networks, data mining. She is a member of the ACM and IEEE.

Assoc. Prof.Jing Teng
North China Electric Power University,China

Jing TENG is an associate professor, director of the Artificial Intelligence and Internet of Things Teaching and Research Center at the School of Control and Computer Engineering, North China Electric Power University. She is an IEEE Senior member and Expert Committee of Hybrid Artificial Intelligence of Chinese Association of Automation. She undertook and completed 12 projects of the National Natural Science Foundation of China, the National Defense Pre-research, the National Key R&D Plan Foundation of China, the Ministry of Education of the People's Republic of China, and the Fundamental Research Funds for the Central Universities, published more than 50 papers, and 10 authorized invention patents. She received 2 ministerial higher education awards. She is the Program Committee member of Australasian Joint Conference on Artificial Intelligence (AJCAI) 2022. She is the reviewer of many international and domestic journals, including IEEE Transactions on Information Theory, IEEE Transactions on Industrial Electronics, IEEE Transactions on Signal Processing, IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, IEEE Transactions on Parallel and Distributed Systems, ACTA AUTOMATICA SINICA.

 

Assoc. Prof. Shuang Lai
Northwestern Polytechnical University, China

Shuang Lai received his Ph.D. in Control Science and Engineering from Northwestern Polytechnical University in 2009 and was a visiting scholar at the University of Technology Sydney, Australia. He is currently an associate professor at the School of Public Policy and Administration, Northwestern Polytechnical University. He has presided over and participated in several national, provincial, and ministerial scientific research projects, and has published many academic papers in domestic and foreign academic conferences and various journals. His main research interests are network information security, e-commerce, e-government, and emergency management. He is dedicated to applying computer-related technologies to the field of public administration.

Zhuowei Wang
University of Technology Sydney, Australia

Dr Zhuowei Wang is with the Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney. He received his Ph.D. degree in Computer Science from University of Technology Sydney (2018-2022) and his bachelor's degree from South China University of Technology (2013-2017). His research interest focuses on noisy label learning, federated learning, and weakly supervised learning. He has served as Editorial Manage of Expert Systems with Applications and Technical Committee of BDAI and WSPML. He has served as a member of program committees of CVPR, ICML, ECCV, and KDD.

 

More speakers will be added soon...