GENERAL CHAIR
Senior Assoc. Prof. Kim Phuc Tran
Talk: A brief introduction to the International Workshop on Responsible Artificial Intelligence and Applications in Integrated Circuit Industry, Manufacturing, and Healthcare
Abstract: In the context of Industry 5.0, Responsible AI is a set of practices to ensure AI systems are safe, ethical, and respect fundamental rights, while also encouraging investment and innovation in AI. Responsible AI helps businesses build trust and ensure that algorithms do not produce false results. For example, the EU AI Act, also known as the Artificial Intelligence Act, is the world's first concrete initiative for regulating AI. It aims to turn Europe into a global hub for trustworthy AI by laying down harmonized rules governing the development, marketing, and use of AI in the EU. The workshop will focus on the topic of Responsible AI and Applications in the Integrated Circuit Industry, Manufacturing, and Healthcare with speakers from the International Research Institute for Artificial Intelligence and Data Science (IAD), Dong A University (Vietnam), University of Florida (USA), University of Salford (UK), Rosenberger Group (Germany), University of Liège (Belgium), etc. Status, trends, future directions, opportunities of Responsible AI and Data Science applications, and its state-of-the-art in Industry 5.0, etc., will be discussed, making it friendly for beginners and young researchers. Finally, within the framework of the workshop, policies to attract investment to develop the AI and IC industry in Da Nang City were also presented by the Vice Director of the Da Nang Investment Promotion Agency to promote international cooperation in this field with companies in Da Nang and Dong A University.
Bio:
Kim Phuc Tran is currently a Senior Associate Professor (Maître de Conférences HDR, equivalent to a UK Reader) of Artificial Intelligence and Data Science at the University of Lille, Graduate School MADIS-631, ENSAIT, & GEMTEX laboratory, France. He received an Engineer's degree and a Master of Engineering degree in Automated Manufacturing. He obtained a Ph.D. in Automation and Applied Informatics at the University of Nantes, and an HDR (Doctor of Science or Dr. Habil.) in Computer Science and Automation at the University of Lille, France. He has published more than 72 papers in peer-reviewed international journals and proceedings of international conferences. He edited 3 books with Springer Nature and Taylor & Francis. He is the Associate Editor, Editorial Board Member, and Guest Editor for several international journals such as IEEE Transactions on Intelligent Transportation Systems and Engineering Applications of Artificial Intelligence.
Kim Phuc Tran has supervised 12 Ph.D. students and 3 Postdocs. In addition, as the project coordinator (PI), he conducted a national project about Healthcare Systems with Federated Learning. He has been or is involved (PI, co-PI, or member) in 13 national and European projects. He is an expert and evaluator for the Public Service of Wallonia (SPW-EER), Belgium, the Natural Sciences and Engineering Research Council of Canada, ANRT (Association nationale de la recherche et de la technologie), and CY Cergy Paris University, France. He received the Award for Scientific Excellence (Prime d’Encadrement Doctoral et de Recherche) given by the Ministry of Higher Education, Research and Innovation, France for 4 years from 2021 to 2025 in recognition of his outstanding scientific achievements.
From 2017 until now, he has been the Senior Scientific Advisor at Dong A University and the International Research Institute for Artificial Intelligence and Data Science (IAD), Danang, Vietnam where he has held the International Chair in Data Science and Explainable Artificial Intelligence. His research interests include Explainable Trustworthy, and Transparent Artificial Intelligence; Ethical, and Human-centered Artificial Intelligence; Safety and Reliability of Artificial Intelligence; Statistical Computing; Intelligent Decision Support Systems; Digital Twins; and Applications of AI, Edge Computing, and Data Science in Industry 5.0.