Rate My Professor Jan Broekaert

Jan Broekaert is a postdoctoral researcher at the SKEMA Centre for Analytics and Management Science at SKEMA Business School in Sophia Antipolis, France. He earned his PhD in Physics from the Vrije Universiteit Brussel in 1994 and his Master of Science in Physics from the same university in 1987. From 2010 to 2017, he served as Adjunct Faculty at Vrije Universiteit Brussel, where he directed PhD theses, including those of F. U. Kaputu in 2017 and K. De Looze in 2013. Following this, he held postdoctoral positions at Indiana University Bloomington from 2017 to 2019 and at the University of Leeds from 2019 to 2020. His research integrates physics with cognitive science, operations research, and artificial intelligence, focusing on quantum-like models for human decision-making, epidemic dynamics on social-contact networks, supply chain resilience under disruptions, and neural architectures for financial forecasting and energy management.

Broekaert has published extensively in leading journals. Notable works include 'Competing control scenarios in probabilistic SIR epidemics on social-contact networks' (Annals of Operations Research, 2024), 'A multi-criteria approach to evolve sparse neural architectures for stock market forecasting' (Annals of Operations Research, 2024), 'The impact of the psychological effect of infectivity on Nash-balanced control strategies for epidemic networks' (Annals of Operations Research, 2025), 'Managing resilience and viability of supranational supply chains under epidemic control scenarios' (Omega, 2025), and 'Quantum probability: a new method for modelling travel behaviour' (Transportation Research Part B: Methodological, 2020). Earlier contributions encompass 'The violation of Bell inequalities in the macroworld' (Foundations of Physics, 2000), 'A case for applying an abstracted quantum formalism to cognition' (New Ideas in Psychology, 2011), and 'Quantum structure and human thought' (2013). He co-authored a book chapter on algorithms and AI in supply chain decisions in 'The Digital Supply Chain' (Elsevier, 2022). His interdisciplinary publications demonstrate significant impact in modeling complex systems, from cognitive phenomena to global supply chain challenges and pandemic responses.