Ginel Dorleon

Ginel Dorleon, RMIT lecturer's profile image
School: School of Science, Engineering & Technology
Department: Artificial Intelligence 
Position: Lecturer
Location: RMIT Saigon South 
Email: ginel.dorleon@rmit.edu.vn 
ORCID iD: 0000-0003-2343-4445 

Ginel Dorleon earned his Ph.D. from Paul Sabatier University in Toulouse, France, focusing on using AI techniques to mitigate data bias within health decision-making systems. Prior to his tenure at RMIT Vietnam, Dr. Ginel was affiliated with SogetiLabs at Capgemini in France and the Toulouse Institute for Computer Science Research (IRIT) at the University of Paul Sabatier. His research expertise encompasses Machine Learning, AI for Healthcare, Explainable AI, Data Bias, and Algorithm Fairness. 

  • PhD Computer Science / AI - University of Toulouse 3 Paul Sabatier, Toulouse, France 
  • Master’s Degree of Digital Content Engineering - University of La Rochelle, La Rochelle France 
  • Master’s Degree of Intelligent Systems - Vietnam National University, Hanoi 
  • BS Computer Science - Ecole Superieure d’Infotronique d’Haiti  

  • Intelligent Decision Making
  • Data Structure and Analysis
  • Foundations of AI for STEM 

  • Machine learning
  • Decision systems
  • AI for healthcare
  • Explainable AI
  • Data bias
  • Algorithm fairness 
  • Feature selection 

  • Dorleon, G., Megdiche, I., Bricon-Souf, N., Teste, O. (2023). FAPFID: A Fairness-Aware Approach for Protected Features and Imbalanced Data. In Transactions on Large-Scale Data- and Knowledge-Centered Systems. Lecture Notes in Computer Science (), vol 13840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-66863-4_5 
  • Ginel Dorleon, Imen Megdiche, Nathalie Bricon-Souf, and Olivier Teste. 2022. Feature selection under fairness constraints. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (SAC '22). Association for Computing Machinery, New York, NY, USA, 1125–1127. https://doi.org/10.1145/3477314.3507168 
  • Dorleon, G., Megdiche, I., Bricon-Souf, N., Teste, O. (2022). Feature Selection Under Fairness and Performance Constraints. In: Wrembel, R., Gamper, J., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Big Data Analytics and Knowledge Discovery. DaWaK 2022. Lecture Notes in Computer Science, vol 13428. Springer, Cham. https://doi.org/10.1007/978-3-031-12670-3_11

  • Research Grant Doctoral Contract: University of Paul Sabatier and Region Occitanie, Toulouse, France: 2019 - 2022

  • Capgemini, Toulouse, France, AI Research Scientist – 2023 
  • Financial Deep Mind, Hanoi, Vietnam, AI Software Engineer R&D – 2018 - 2019 
  • SoftPoint, Madrid, Spain – 2017, AI Software Engineer R&D

  • 02/2023 – 10/2023 Capgemini, Toulouse, France AI Research Scientist
  • 01/2020 – 01/2023 Toulouse Institute for Computer Science Research, IRIT, France, Ph.D Research Fellow
  • 04/2018 – 11/2019 Financial Deep Mind, Hanoi, Vietnam, AI Software Engineer R&D
  • 09/2017 – 02/2018 French Genomic Resources Center, CNRGV, Toulouse, France, R&D Engineer Intern
  • 01/2016 – 06/2016 French National Research Institute (IRD), France, Research Data Analyst Intern