University of Lille, ENSAIT, GEMTEX, France.
Senior Scientific Advisor at Dong A University & International Research Institute for Artificial Intelligence and Data Science (IAD).
Senior Assoc. Prof. Kim Phuc Tran
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 ENSAIT and the GEMTEX laboratory, University of Lille, 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. His research deals with Real-time Anomaly Detection with Machine Learning with applications, Decision Support Systems with Artificial Intelligence, and Enabling Smart Manufacturing with IIoT, Federated learning, and Edge computing. He has published more than 64 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. He has supervised 9 Ph.D. students and 3 Postdocs. In addition, as the project coordinator (PI), he is conducting 1 regional research project about Healthcare Systems with Federated Learning. He has been or is involved (co-PI or member) in 8 national and European projects. He is an expert and evaluator for the Research and Innovation program of the Government of the French Community, Belgium. 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.
Title: Machine Learning and Control Chart for Anomaly Detection: Methods, Applications, and Challenges
The recent development of advanced technologies such as Smart Sensor Networks, the Internet of Things (IoT), and Artificial Intelligence (AI) drive continuous improvement, knowledge transfer, and data-driven decision-making in many fields. The technique of Anomaly Detection (AD) supports decision-making for a large number of studies, with the aim to detect rare events or observations that deviate from normal behavior. Applications of AD: Intrusion detection in a computer network, spotting potential risk or medical problems in health data, and predictive maintenance. Challenges that the current anomaly detection methods can address and envision this area from multiple different perspectives.
Presentation slide in the link below:
Machine Learning and Control Chart for Anomaly Detection: Methods, Applications, and Challenges.pdf