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First Round of Abstract Submission Ends: Jun 30, 2024
Extended Early Bird Ends: Jun 28, 2024

Keynote Speakers

Prof. Domitile Lourdeaux
HEUDIASYC UMR CNRS, France
Title: Generation of learning according the a dynamic trainee’s profile within a virtual environment
Domitile Lourdeaux is Full Professor at the CNRS Heudiasyc UMR 7253 laboratory at the Université de technologie de Compiègne – Alliance Sorbonne University. Since 1997, she has been conducting research on Artificial Intelligence based Virtual Environments.

Since 2019, she has been coordinator of the Artificial Intelligence and Data Science Speciality at UTC and vice-president of AFIA (French Association of Artificial Intelligence). She has been a member of the National University Committee (CNU) between 2013 and 2019 and since 2024.

She has coordinated and participated in numerous projects: H2020 INFINITY (European police cooperation for criminal investigations), 2020-2024 ANR VICTEAMS (2014-2019 training of teams to rescue injured people), MacCoy Critical (2014-2019 training non-technical skills in critical situations), NIKITA (2011-2014 training in aeronautical assembly), V3S (2007-2013 training on high-risk sites), SAGECE (2008-2010 training in crisis management following NRBCE terrorist attacks), SIMADVF (2010-2012 training for childcare assistants).
Prof. Denis Cormier
Rochester Institute of Technology, USA
Title: Will update soon
Denis Cormier is the Earl W. Brinkman Professor of Industrial and Systems Engineering at Rochester Institute of Technology. He has nearly 30 years of experience focused on the development of next-generation additive manufacturing technologies. Electron Beam Melting (EBM), Metal Jet Printing (MJP), and Composite Based Additive Manufacturing (CBAM) are some of the commercial AM processes that he has contributed to the development of. His research has resulted in well over 100 publications, 6 U.S. patents, and nearly $25M in sponsored research funding. Professor Cormier is a Fellow of IISE and served as a Fulbright Specialist expert in Waterford, Ireland. He serves on the editorial advisory board of several journals, including Additive Manufacturing, and the Rapid Prototyping Journal.
Prof. Lai-Chang Zhang
Edith Cowan University, Australia
Title: Will be updated soon
Lai-Chang Zhang is a Professor of Materials Engineering, the Program Leader–Mechanical Engineering and the Head of Centre for Advanced Materials and Manufacturing in the School of Engineering at Edith Cowan University (Perth, Australia). After awarded his PhD in Materials Science and Engineering at the Institute of Metal Research, Chinese Academy of Sciences, Prof. Zhang held several positions at The University of Western Australian, University of Wollongong, IFW Dresden and Technical University Darmstadt. His research interests include metal additive manufacturing, metallic biomaterials, nanocrystalline materials and metallic glasses, and nanomaterials for water treatment. He is a 2023 Highly Cited Researcher in the field of Materials Science, with H-index of 79 and 22,800+ citations. He also served as Editor or Editorial Board Members for 10+ journals, e.g., International Journal of Extreme Manufacturing (IF: 14.7), Advanced Engineering Materials (IF: 3.6), etc.
Prof. Ola L. A. Harrysson
North Carolina State University, Raleigh, USA
Title: Will be updated soon
Dr. Ola L. A. Harrysson joined the ISE Department at NC State University in Raleigh, North Carolina in 2002 after receiving his Ph.D. in Industrial Engineering from the University of Central Florida in Orlando, Florida. Prior to attending UCF he was born and raised in Sweden and received his bachelor’s degree in Mechanical Engineering from Dala University. He has been conducting research in Additive Manufacturing for over 25 years. His main areas of research are medical application of AM technologies, custom design and fabrication of orthopedic implants, medical device development, and materials development for Direct Metal AM technologies. Dr. Harrysson is the Director of the Center for Additive Manufacturing and Logistics at NCSU. Dr. Harrysson is the Edward P. Fitts Distinguished Professor in the Edward P. Fitts Department of Industrial Engineering. He has affiliated appointments in the Departments of Biomedical Engineering and Material Science and Engineering
Prof. Shunli Wang
Southwest University of Science and Technology, China
Title: Will update soon
Prof. Shunli Wang is a Doctoral Supervisor, Academic Dean, Academic Leader of the National Electrical Safety and Quality Testing Center, Academician of the Russian Academy of Natural Sciences, Provincial Senior Overseas Talent, Academic and Technical Leader of China Science and Technology City, and top 2% of top scientists in the world, who is an authoritative expert in renewable energy research. His research interests include modeling, state estimation, and safety management for energy storage systems. 56 projects have been undertaken, including the projects from the National Natural Science Foundation of China and the Provincial Science and Technology Department. 258 research papers have been published (Research Interest Score: 11547; Citations: 3167; h-index: 29). 53 intellectual property rights have been applied, of which 23 authorizations have been approved. 7 books have been published by famous publishers such as Elsevier and IET. 23 honorary titles or awards have been achieved, such as young scholars and leading experts of innovative talent teams. Also, the team has been continuously supported by the "University & Enterprise Innovative Talent Team Support Plan" and unanimously praised by employers and peer experts.

Based on the deep integration of industry, academia, and research, the NELab team have served as the Chief Scientist of Liwang New Energy, Chief Engineer of Changhong Runtian Energy, Chief Engineer of Xinzhi Green Energy, and Technical Advisor of Yingjie Electric Energy Storage System. In collaboration with the University of Science and Technology of China, Robert Gordon University, Aalborg University, and collaborated with units such as the Chinese Academy of Sciences, China Power Group, ZTE Energy, and Changhong Power to form a new technology system for condition monitoring and control system architecture, Achieved the development and industrial application of more than 30 varieties of battery measurement and control equipment in 6 major series, presided over 3 achievement evaluations, and released 3 standards. The relevant research results have been used in multiple units, cultivating a large number of high-level outstanding talents, driving the development of the upstream and downstream industrial chain in the energy storage field, and achieving significant social and economic benefits.
Prof. Emanuele Borgonovo
Bocconi University, Italy
Title: Artificial Intelligence: Interpretability, Explainability, and Sensitivity Analysis
Full Professor and Head, Department of Decision Sciences at Bocconi University. He is co-editor-in-chief of the European Journal of Operational Research, advisor of the Springer International Series in Management Science and Operations Research, Co-Chair of the Committee on Uncertainty Analysis of the European Safety and Reliability Association, and member of the Scientific Committee of the Fondazione Silvio Tronchetti Provera. He has been the 2020-2022 President of the Decision Analysis Society of INFORMS. At Bocconi University he has been Director of the Bachelor in Economics, Management, and Computer Science from 2016-2022.
He holds a Ph.D. in Probabilistic Risk Assessment from MIT, has worked in several international research cooperations, and is the recipient of several national and international awards. He has published over 100 papers in scientific international journals among which Journal of the Royal Statistical Society Series B, Management Science, Operations Research, European journal of Operational Research, Risk Analysis, Statistics and Computing, SIAM-ASA Journal on Uncertainty Quantification, Nature Climate Change, Nature Communications, etc.. His research interests concern Machine Learning, Sensitivity Analysis, Decision Analysis, Risk Analysis, and Uncertainty Quantification. In his works, he has introduced several new sensitivity analysis techniques. Among them, the differential importance measure, has been introduced in the NASA Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners. He is the author of the book “Sensitivity Analysis: An Introduction for the Management Scientist”, http://www.springer.com/gp/book/9783319522579.
Prof. Kathryn Cormican
University of Galway, Ireland
Title: Beyond the Blueprint: Pioneering Pathways to Industry 5.0
Kathryn Cormican is a Professor of Systems Engineering and Director of the Enterprise Research Centre in the School of Engineering at the University of Galway in Ireland and a funded investigator in Lero – The Irish Software Research Centre. She leads a large multidisciplinary research team. Her work focuses on the design, development, and validation of novel processes and information systems to enable smarter user-centred solutions. She has secured over €2.5 million in research income and is currently leading three EU-funded projects. She is internationally recognised for her contribution to research and has won many prestigious best-paper awards including the European Academy of Management best paper award in 2023. She has delivered several keynote addresses at international conferences and has published extensively in high-impact journals in her field. Kathryn directs an award-winning MSc programme specifically designed to equip graduates with the requisite skills needed for employment in the high-tech industry. She received the President’s Award for teaching excellence in 2018 and was awarded Female Entrepreneurial Leader of the Year in 2022 by the Accreditation Council for Entrepreneurial and Engaged Universities.
Prof. Ernesto D.R. Santibañez Gonzalez
University of Talca, Chile
Title: Will be update soon
Prof. Ernesto's research is related to the discipline of climate change and management sciences and focuses specifically on the integration of quantitative methods, artificial intelligence and business models to formulate medium and long-term strategies to mitigate the impacts of climate change and contribute to the sustainable development of the planet. His passion is addressing and solving problems at the interface of climate change and sustainability that arise in many different fields, such as supply chain, energy efficiency, lowcarbon economy, carbon capture and storage, smart city, smart manufacturing, sustainable and resilient supply chain, sustainable operations management, and sustainable finance. He is included in the 2% of the most influential scientists in the world according to the Stanford University ranking (2023). He has written more than 100 publications in high-impact scientific journals and managed numerous international research projects. He serves as associate editor of the Journal of Cleaner Production (Elsevier), Journal of Intelligent Manufacturing (Springer), Modern Supply Chain Research and Applications (Emerald, new journal), International Journal of Big Data Mining for Global Warming, Heliyon Business and Economics (Elsevier) and Sustainability among others. He is also editor-in-chief and founder of Sustainable Operations and Computers, a new journal sponsored by the Chinese Academy of Sciences and Elsevier and currently indexed in Scopus. He has been guest editor of several special issues in top-tier journals, such as European Journal of Operational Research, Journal of Cleaner Production, International Journal of Production Research, Sustainability, and guest editor of special issues in journals such as International Journal of Production Economics, Computers and Industrial Engineering, and Science of Total Environment. In addition, he served as regional editor of the International Journal of Physical Distribution and Logistics Management (Emerald). He has been a reviewer for Nature, EJOR, IJPR, IJPE, and numerous other top-ranked journals. How to Build a New Green Economy in a Hurry"? His current research will allow him to evaluate the decarbonization strategies proposed by some countries, and which policies should be implemented to achieve environmental and economic goals considering climate risks.
Prof. Simon X. Yang
University of Guelph, Canada
Title: Bio-inspired Approaches to Intelligent Navigation and Cooperation of Multi-Robotic Systems
Prof. Yang received the B.Sc. degree in engineering physics from Beijing University, China, in 1987, the first of his two M.Sc. degrees in biophysics from Chinese Academy of Sciences, Beijing, China, in 1990, the second M.Sc. degree in electrical engineering from the University of Houston, USA, in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, Canada, in 1999. Currently he is a Professor and the Head of the Advanced Robotics and Intelligent Systems (ARIS) Laboratory at the University of Guelph. Prof. Yang’s research interests include robotics, artificial intelligence, sensors and signal processing, multi-sensor fusion, wireless sensor networks, intelligent control, and computational neuroscience. Prof. Yang has published over 600 papers, including over 330 journal papers (over 70 in IEEE Transactions). Prof. Yang he has been very active in professional activities. He currently serves as the Editor-in-Chief of Intelligence & Robotics, and International Journal of Robotics & Automation, and an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence, and several other international journals. He has involved in the organization of many international conferences.