Kim-Phuc TRAN

Associate Professor & Research Supervisor


Human Centered Design Group

  • Research skill : Machine Learning, Digital Signal Processing, Neural Networks and Artificial Intelligence, Operations Management
  • Associate professor & research supervisor – Section CNU 61

Research interests

  • Screening and Early Detection and Monitoring of Infectious Diseases using IoT and Explainable AI
  • Explainable Machine Learning for Anomaly Detection with Applications
  • Decision Support System with Explainable Machine Learning
  • Quantum Machine Learning
  • Blockchain and Artificial Intelligence technologies for supply chains
  • Online Machine Learning in Big Data Streams
  • Big Data Analysis and Inference with Topology and Machine Learning
  • Applications of Data Science


Below are the list of selected ongoing projects that Kim-Phuc TRAN is a Principal Investigator (PI) or co-PI

SHSFD (2020-2024): « Smart Healthcare System with Federated Learning » funded by conseil régional Hauts-de-France (PI, TOTAL COST: 135 K EUR).
ALRC (2019-2022): « Artificial Intelligence and Data Science for Fashion Industry in the Big Data Era » funded by conseil régional Hauts-de-France (co-PI, TOTAL COST: 135 K EUR).
CSFMAI (2020-2023): » Artificial Intelligence based Anomaly Detection in Online Process Mining  » funded by Rosenberger Group (co-PI, TOTAL COST: 250 K EUR).
CAIRC (2020-2023): « Collaborative assessment tool with Artificial Intelligence to ensure Responsible purchasing in the Clothing industry » funded by Clear Fashion (co-PI, TOTAL COST: 195 K EUR).
AIMatchMarket (2021-2022) : « Machine learning for the fashion industry  » funded by MatchMarket (co-PI, TOTAL COST: 35 K EUR)

Below are the list of selected ongoing projects that Kim-Phuc TRAN is a member

FBD_BModel (2017-2020): « Fashion Big Data Business MODEL  » funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement N. 761122 (TOTAL COST: 3 763 474 EUR ).
LACMC (2020-2022): « Launch and support of Tex-CARE, the circular fashion chair: Industry 4.0 and Circular Economy » funded by conseil régional Hauts-de-France (TOTAL COST: 196 K EUR).



K.P. Tran (Ed.) Control Charts and Machine Learning for Anomaly Detection in Manufacturing, 2021 Springer Nature Switzerland AG,




K.P. Tran (Ed.) Machine Learning and Probabilistic Graphical Models for Decision Support Systems, 2022 Taylor & Francis / CRC Press

K.P. Tran (Ed.) Artificial Intelligence for Smart Manufacturing – Methods, Applications, and Challenges , 2022 Springer Nature Switzerland AG


  • Machine learning and Python
  • Data Structures and Algorithms in Python
  • Information Systems
  • Product Lifecycle Management
  • Supply Chain and Logistics Optimization
  • Production Management and Logistics
  • Wearable Technology


  • 2021-2025: Award for Scientific Excellence (Prime d’Encadrement Doctoral et de Recherche) given by the Ministry of Higher Education, Research and Innovation, France.