IMMS 2025 Keynote Speakers
Prof. Dr. Habil. Dmitry Ivanov
Director of the Digital-AI Supply Chain Lab
Berlin School of Economics and Law, Germany
Biography: Prof. Dr. Dr. habil. Dmitry Ivanov is Professor of Supply Chain and Operations Management, and director of the Digital-AI Supply Chain Lab at the Berlin School of Economics and Law. His research spans supply chain resilience and digital supply chain twins. He has made influential contributions, particularly exploring structural dynamics of supply chains. Author of the Viable Supply Chain Model and founder of the ripple effect and viability research in supply chains. Recipient of several research excellence awards. His research record counts around 470 publications, with more than 170 papers in prestigious academic journals and the leading books “Global Supply Chain and Operations Management” (three editions), “Introduction to Supply Chain Resilience”, “Introduction to Supply Chain Analytics”, „Structural Dynamics and Resilience in Supply Chain Risk Management“, “Scheduling in Industry 4.0 and Cloud Manufacturing”, “Digital Supply Chain” and „Handbook of Ripple Effects in the Supply Chain“. He delivered invited plenary, keynote, panel and guest talks at the conferences of INFORMS, IFPR, IFIP, IFAC, IEEE, DSI and POM, and over 40 universities worldwide. He has been Chairman, IPC Chair, and Advisory Board member for over 80 international conferences in supply chain and operations management, industrial engineering, control and information sciences. Principal investigator in several projects about digital supply chain twins and resilience funded by EU Horizon and DFG. Several Awards for Best Papers (IJPR, IISE Transactions, Omega), Clarivate Highly Cited Researcher Awards. Ranked #1 worldwide in Supply Chain by ScholarGPS and #1 in Operations Research by Standford/Elsevier ranking. Ranked #1 in German-Austrian-Switzerland Ranking of Top Scientists in Business and Management area. Chair of IFAC CC 5 “Cyber-Physical Manufacturing Systems”, Editor-in-Chief of International Journal of Integrated Supply Management, Editor Annals of Operations Research, Associate Editor of International Journal of Production Research and OMEGA, guest editor and Editorial Board member in over 20 leading international journals including IISE Transactions and IJPE, to name a few.
Prof. Xin Wang
Tianjin University, China
Biography: Prof. Xin Wang is a Distinguished Professor at College of Intelligence and Computing, Tianjin University. He obtained his Ph.D. and Bachelor degrees in Computer Science from Nankai University in 2009 and 2004, respectively, and worked as a visiting scholar at the University of Western Australia and Griffith University. He is a distinguished member of China Computer Federation (CCF), and the secretary-general of CCF Technical Committee on Information Systems. His research interests include knowledge graph data management, large-scale graph databases, and big data processing. He has been the principal investigator of the National Key Research and Development Project of China, and four research projects funded by the National Natural Science Foundation of China (NSFC). He has published more than 100 research papers in various international conferences and journals, including IEEE TKDE, WWW, SIGMOD, ICDE, IJCAI, CIKM, ISWC. He served as a PC co-chair of WISE’25, DASFAA’23, and APWeb-WAIM’20. He is an associate editor of the journal of Knowledge-Based Systems, World Wide Web, and Data Science and Engineering.
Prof. Kecheng Liu
University of Reading, United Kingdom
Biography: Prof. Kecheng Liu, a Fellow of the British Computer Society and Senior Fellow of the UK Higher Education Academy, is a Professor of Applied Informatics at the University of Reading and the Director of the Digital Talent Academy at Henley Business School. In his roles as academic lead, senior advisor, and consultant, he has significantly contributed to academic research, industrial projects and business consulting in areas such as business and IT strategy, information management, and digital leadership across public and private sectors. He has published over 300 journal and conference papers and 25 books on topics including organisational semiotics, business informatics, and intelligent spaces for work and living. Additionally, he has successfully supervised more than 60 PhD students from diverse international backgrounds. His extensive experience in management and leadership spans research projects, academic centres, schools, and universities.
Prof. Cong Wang
Peking University, China
Biography: Dr. Cong Wang is an assistant professor at Guanghua School of Management, Peking University. She holds a Ph.D. in Information Systems from Tsinghua University. She got her BA in information systems and economics from Peking University. She worked as a postdoc fellow at Carnegie Mellon University prior to joining Guanghua. Dr. Wang's research interest lies in the intersection of big data analytics, machine learning and management information systems, focusing on decision support with uncertainty and temporal dynamics, pattern recognition and knowledge discovery from big data, as well as their applications in areas of e-commerce, fintech and healthcare etc. Her research work has been published in journals including Information Systems Research, INFORMS Journal on Computing etc.