Kim-Phuc TRAN

Associate Professor & Research Supervisor

Research

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

PROJECTS

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).

BOOKS

2021

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

 

978-3-030-83819-5
 

2022

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

TEACHING

  • 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

AWARDS

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