Professors

Jan BROEKAERT

Postdoctoral researcher

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Jan BROEKAERT

Academy

Digitalization

Research center

SKEMA Centre for Analytics and Management Science

Location

Sophia Antipolis

Discipline

Analytics Information & Operations
Education
1994
PhD in Physics, Vrije Universiteit Brussel, Belgium
1987
Master of Science in Physics, Vrije Universiteit Brussel, Belgium
Experience
Full-time academic positions
2019 - 2020
Postdoctoral researcher, University of Leeds, Great Britain
2017 - 2019
Postdoctoral researcher, Indiana University Bloomington, United States of America
2010 - 2017
Adjunct Faculty, Vrije Universiteit Brussel, Belgium
Other academic affiliations and appointments
2016 - 2017
Research team member, City, University of London, Great Britain
PhD Supervision
2020
Vrije Universiteit Brussel, PhD thesis, Thesis director
2017
F. U. KAPUTU, Vrije Universiteit Brussel, PhD thesis, Thesis director
2013
K. DE LOOZE, Vrije Universiteit Brussel, PhD thesis, Thesis director
2013
Vrije Universiteit Brussel, PhD thesis, Thesis director

Peer-reviewed journal articles

HAFIZ, F., BROEKAERT, J., LA TORRE, D. and 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. and 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. and HAFIZ, F. (2024). The impact of the psychological effect of infectivity on Nash-balanced control strategies for epidemic networks. Annals of Operations Research.
BROEKAERT, J., LA TORRE, D., HAFIZ, F. and REPETTO, M. (2024). A comparative cost assessment of coalescing epidemic control strategies in heterogeneous social-contact networks. Computers & Operations Research.
HAFIZ, F., BROEKAERT, J., LA TORRE, D. and 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. and 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. and 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. and 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. and 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.

Conference proceedings

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

Book chapters

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