Adán José-García
Logo Assitant Professor

I am an Associate Professor (Maître de conférences) at the Université de Picardie Jules Verne (UPJV) in Amiens, France, where I am affiliated with the MIS laboratory (Modélisation, Information & Systèmes). My research lies at the intersection of machine learning and optimization, with a particular focus on clustering, metaheuristics, multi-objective optimization and their applications in health informatics.

Before joining UPJV, I was a Research Scientist at the University of Lille, where I worked at the intersection of computer science and medical research in the CRIStAL and INFINITE laboratories. Previously, I was a Postdoctoral Researcher at the Institute of Data Science and Artificial Intelligence, University of Exeter, UK, and a Research Fellow at the Decision and Cognitive Sciences Research Centre, University of Manchester, UK. I obtained my Ph.D. in Computer Science from Cinvestav-IPN, Mexico.

My website is currently being updated. Additional content will be added over the coming days.

Laboratoire MIS, UFR des Sciences, Université de Picardie Jules Verne, 33 rue Saint-Leu, 80039 Amiens, France
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Education & Experience
  • Université de Lille
    Université de Lille
    Postdoctoral researcher
    2021 - 2026
  • University of Exeter
    University of Exeter
    Postdoctoral researcher in machine learning
    2019 - 2021
  • University of Manchester
    University of Manchester
    Postdoctoral fellow in unsupervised learning
    2018 - 2019
  • Cinvestav-IPN
    Cinvestav-IPN
    PhD. in Computer Science
    2013 - 2017
Research Interests
  • Unsupervised Machine Learning
  • Machine Learning
  • Metaheurstics
  • Numerical and Combinatorial Optimization
  • Multi-objective Optimization
  • Digital Health
  • Bioinformatics
  • Time Series Analysis
News
2024
I will be participating in the ECAI 2024 conference!
Oct 01
I will be teaching Data mining and AutoML to master students at the Faculty of Science and Technology, University of Lille teaching
Sep 01
Kilian Debraux will join our ENDOMIC team as a PhD student!
Jul 02
I will be teaching Introduction to Deep Learning at Polytech Lille teaching
Apr 22
Selected Publications (view all )
HBIC: A Biclustering Algorithm for Heterogeneous Datasets
HBIC: A Biclustering Algorithm for Heterogeneous Datasets

A. José-García, J. Jacques, C. Chauvet, V. Sobanski, C. Dhaenens

European Conference on Artificial Intelligence (ECAI) 2024 conference

[Paper] [Code]

HBIC: A Biclustering Algorithm for Heterogeneous Datasets
HBIC: A Biclustering Algorithm for Heterogeneous Datasets

A. José-García, J. Jacques, C. Chauvet, V. Sobanski, C. Dhaenens

European Conference on Artificial Intelligence (ECAI) 2024 conference

[Paper] [Code]

Metaheuristic Biclustering Algorithms: From State-of-the-Art to Future Opportunities
Metaheuristic Biclustering Algorithms: From State-of-the-Art to Future Opportunities

A. José-García, J. Jacques, V. Sobanski, C. Dhaenens

ACM Computing Surveys 2023 journal

[Paper]

Metaheuristic Biclustering Algorithms: From State-of-the-Art to Future Opportunities
Metaheuristic Biclustering Algorithms: From State-of-the-Art to Future Opportunities

A. José-García, J. Jacques, V. Sobanski, C. Dhaenens

ACM Computing Surveys 2023 journal

[Paper]

Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views

M. Garza-Fabre, J. Handl, A. José-García

IEEE Transactions on Evolutionary Computation 2022 journal

[Paper] [Code]

Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views

M. Garza-Fabre, J. Handl, A. José-García

IEEE Transactions on Evolutionary Computation 2022 journal

[Paper] [Code]

C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation
C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation

A. José-García, A. Sneyd, A. Melro, A. Ollagnier, G. Tarling, H. Zhang, M. Stevenson, R. Everson, R. Arthur

International Journal of Artificial Intelligence in Education 2022 journal

[Paper]

C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation
C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation

A. José-García, A. Sneyd, A. Melro, A. Ollagnier, G. Tarling, H. Zhang, M. Stevenson, R. Everson, R. Arthur

International Journal of Artificial Intelligence in Education 2022 journal

[Paper]

An Evolutionary Many-objective Approach to Multiview Clustering using Feature and Relational Data
An Evolutionary Many-objective Approach to Multiview Clustering using Feature and Relational Data

A. José-García, J. Handl, M. Garza-Fabre, W. Gómez-Flores

Applied Soft Computing 2021 journal

[Paper] [Code]

An Evolutionary Many-objective Approach to Multiview Clustering using Feature and Relational Data
An Evolutionary Many-objective Approach to Multiview Clustering using Feature and Relational Data

A. José-García, J. Handl, M. Garza-Fabre, W. Gómez-Flores

Applied Soft Computing 2021 journal

[Paper] [Code]

Automatic Clustering Using Nature-inspired Metaheuristics: A Survey
Automatic Clustering Using Nature-inspired Metaheuristics: A Survey

A. José-García, W. Gómez-Flores

Applied Soft Computing 2016 journal

[Paper]

Automatic Clustering Using Nature-inspired Metaheuristics: A Survey
Automatic Clustering Using Nature-inspired Metaheuristics: A Survey

A. José-García, W. Gómez-Flores

Applied Soft Computing 2016 journal

[Paper]

All publications
Teaching
2024
Projet Encadré: Analyse de Sentiments sur Twitter | Master in Machine Learning | Faculty of Science and Technology, University of Lille
Sep 01
Data mining and AutoML | Master in Machine Learning | Faculty of Science and Technology, University of Lille
Sep 01
Introduction to Deep Learning | 5th year engineering students | L'école d'Ingénieur Polytechnique de l'Université de Lille, POLYTECH Lille
May 01
2021
Cluster Analysis | Master in Engineering Science and Computer Technologies | Cinvestav-IPN, Mexico
Jan 01
2020
Fundamentals of Machine Learning (Link) | Undergraduate students | Department of Computer Science, University of Exeter, UK
Sep 01
Students
2024
PhD Student: Kilian Debraux in co-supervision with Pr. Vincent Sobanski
| Topic: Evaluation of chronic diseases progression from longitudinal data using machine learning
| École Doctorale Biologie-Santé, University of Lille
Oct 01
2023
PhD Student: Clément Chauvet in co-supervision with Pr. Vincent Sobanski, Pr. Marteen De Vos and Pr. Celine Vens
| Topic: Microscopy imagery using deep learning
| École doctorale Biologie-Santé, University of Lille and KU Leuven
Sep 01
2019
— Currently
• [Oct. 2024 — currently] Antonio Al Makdissi master in Data Science, University of Lille | Research Project M2 | Topic: Deep Clustering
• [May. 2024 — Sep. 2024] Gabriel Warde master in Data Science, University of Lille | Internship M1 | Topic: Deep Learning
• [Oct. 2023 — Mar. 2024] Ikram Messadi master in Data Science, University of Lille | Research Project M1 | Topic: Biclustering
• [Oct. 2023 — Mar. 2024] Gabriel Warde master in Data Science, University of Lille | Research Project M1 | Topic: Clustering
• [Apr. 2023 — Jun. 2023] Audrey Bilon master in CS, FST, University of Lille | Research Project M1 | Topic: Unsupervised Learning
• [Aug. 2020 — Jan. 2021] Brian Evans and James Bradford | University of Exeter | Project: A Cognitive Behavioural Therapy App
• [Aug. 2020 — Dec. 2020] Benedict Rangasamy and Peranavie Thangasuthan | University of Exeter | Project: A Telematics Driving App
Jan 01