Prof. 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. Teodor Gabriel Crainic is Adjunct Professor of Operations Research, Transportation, and Logistics, School of Management, Université du Québec à Montréal, and Adjunct Professor of Operations Research, Department of Computer Science and Operations Research, Université de Montréal. He is also a senior scientist at CIRRELT, the Interuniversity Research Center for Enterprise Networks, Logistics, and Transportation. He received the 2006 Merit Award of the Canadian Operational Research Society and is a member of the Royal Society of Canada.

The research interests of Professor Crainic are in network, integer, and combinatorial optimization, meta-heuristics, and parallel computing applied to the planning and management of complex systems. Particularly in transportation and logistics. Major contributions targeted methods for national/regional planning, the design, scheduling, and operation management of consolidation-based carriers, intermodal and logistics networks, routing, scheduling, and city logistics, new business and organizational transportation and logistics models and systems, and planning of urban and inter-urban multimodal multi-stakeholder freight transportation systems.

Prof. Gheith Abandah holds PhD and MSE degrees in Computer Science and Engineering from the University of Michigan (1998 and 1995) and BSc degree in Electrical Engineering from the University of Jordan (1985). He is a professor of Computer Engineering in the University of Jordan and was the first president of Aqaba University of Technology. He is the general coordinator of Developing Curricula for Artificial Intelligence and Robotics (DeCAIR), which is a 3-year project funded by Erasmus+ Capacity Building in the field of Higher Education program. He has a 25-year academic experience in teaching computer science and engineering topics and in conducting research related to artificial intelligence, Arabic language processing, machine learning, electronic voting, and parallel processing. He has 66 publications, more than 1100 citations, and h-index of 19. He has more than 15 years of industrial experience in localization, military electronics, and product and project development and deployment. Has held leading positions in the private sector including design engineer, project manager, development manager, VP development, and general manager where he successfully managed multiple technical teams to fulfill aggressive deadlines in the Middle East region. He is active volunteer and IEEE senior member, participated in establishing IEEE – Jordan Section, elected the IEEE – Jordan Section chair for three terms, chair of IEEE Region 8 Committee for Diversity, Equity, and Inclusion, and established the AEECT and JEEIT international conference series and many innovative activities.

Prof. Abdelaziz Berrado is a Professor of Industrial Engineering at Ecole Mohammadia d’Ingénieurs (EMI), Mohammed V University in Rabat. He held leadership and administrative roles at the same institution as Chair of the Industrial Engineering Department, Managing Director of the Doctoral program and Deputy Director of Research and Partnerships.

He holds a Ph.D. in Decision Systems and Industrial Engineering from Arizona State University in 2005.

Pr Berrado has been leading applied research projects focusing on leveraging advanced analytics for knowledge generation and decision support in organizations with varied applications across different industries. In addition to applied research, Pr Berrado is continually investigating avenues to enhance Interpretability and Explainability in Machine Learning. Over the years, he has led several funded research projects with local and international impact and a close interaction with industry.

Pr Berrado is a fellow of IEOM society and a member of INFORMS. Previously, he was a senior engineer and data analytics lead at Intel.