Corps professoral

Jan BROEKAERT

Chercheur postdoctoral

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Jan BROEKAERT

Académie

Digitalisation

Centre de recherche

SKEMA Centre for Analytics and Management Science

Localisation

Sophia Antipolis

Discipline

Analytics Information & Operations
Formation
1994
PhD en Physique, Vrije Universiteit Brussel, Belgique
1987
Master of Science en Physique, Vrije Universiteit Brussel, Belgique
Expérience professionnelle
Positions académiques principales
2019 - 2020
Chercheur postdoctoral, University of Leeds, Royaume Uni
2017 - 2019
Chercheur postdoctoral, Indiana University Bloomington, Etats-Unis d'Amérique
2010 - 2017
Chargé de cours non permanent, Vrije Universiteit Brussel, Belgique
Autres affiliations académiques
2016 - 2017
Membre d'une équipe de recherche, City, University of London, Royaume Uni
Autres activités de recherche
Supervision de thèses
2020
C. L. PÉREZ-GARCIA, Vrije Universiteit Brussel, Doctorat, Directeur de thèse
2017
F. U. KAPUTU, Vrije Universiteit Brussel, Doctorat, Directeur de thèse
2013
K. DE LOOZE, Vrije Universiteit Brussel, Doctorat, Directeur de thèse
2013
W. VAN DAELE, Vrije Universiteit Brussel, Doctorat, Directeur de thèse

Articles académiques revus

HAFIZ, F., BROEKAERT, J., LA TORRE, D. et SWAIN, A. (2024). A multi-criteria approach to evolve sparse neural architectures for stock market forecasting. Annals of Operations Research, 167(106680), pp. 1-45.
BROEKAERT, J., LA TORRE, D., HAFIZ, F. et REPETTO, M. (2024). A comparative cost assessment of coalescing epidemic control strategies in heterogeneous social-contact networks. Computers & Operations Research, 167, pp. 106680.
BROEKAERT, J., LA TORRE, D. et HAFIZ, F. (2024). Competing control scenarios in probabilistic SIR epidemics on social-contact networks. Annals of Operations Research, 336, pp. 2037-2060.
BROEKAERT, J., LA TORRE, D. et HAFIZ, F. (2024). The impact of the psychological effect of infectivity on Nash-balanced control strategies for epidemic networks. Annals of Operations Research.
HAFIZ, F., BROEKAERT, J., LA TORRE, D. et SWAIN, A. (2023). Co-evolution of Neural Architectures and Features for Stock Market Forecasting: A Multi-objective Decision Perspective. Decision Support Systems, 174, pp. 114015.
MUBASHIR WANI, M., HAFIZ, F., SWAIN, A. et BROEKAERT, J. (2023). Balancing energy consumption and thermal comfort in buildings: a multi-criteria framework. Annals of Operations Research.
HANCOCK, T., BROEKAERT, J., HESS, S. et CHOUDHURY, C. (2020). Quantum choice models: A flexible new approach for understanding moral decision-making. Journal of Choice Modelling, 37, pp. 100235.
HANCOCK, T., BROEKAERT, J., HESS, S. et CHOUDHURY, C. (2020). Quantum probability: a new method for modelling travel behaviour. Transportation Research - Part B: Methodological, 139, pp. 165-198.
BROEKAERT, J., BUSEMEYER, J. et POTHOS, E. (2020). The Disjunction Effect in two-stage simulated gambles. An experimental study and comparison of a heuristic logistic, Markov and quantum-like model. Cognitive Psychology, 117.

Actes d’une conférence

BROEKAERT, J. et LA TORRE, D. (2021). A Vector Logistic Dynamical Approach to Epidemic Evolution on Interacting Social-Contact and Production-Capacity Graphs. Springer, 633.

Chapitres d’ouvrage

BRUSSET, X., LA TORRE, D. et BROEKAERT, J. (2022). Algorithms, Analytics and Artificial Intelligence - Harnessing Data to Make Supply Chain Decisions. Dans: Bart MacCarthy, Dmitry Ivanov eds. The Digital Supply Chain. 1st ed. Amsterdam: Elsevier, pp. 93-110.