Table of Contents

Research keywords


Research themes

My main research thematics are centered on the application of the methods of artificial intelligence to the study of the dynamics of complex natural systems: I like to explore how data science (including machine learning and data mining), combinatorial optimisation or agent-based approaches, can help building better models of these systems. Moreover, stongly influenced by the view advocated by the emerging field of computational sustainability, I mainly focus on the systemic modeling and simulation of the complex interactions between environmental, economic and social factors within the context of transition to sustainability at various scales.

I also promote the view asserting that public researchers must be involved in the important problems of their time. In this aspect, I try to develop decision-making tools to support public decision makers and help them to answer to the challenges posed by the current transition our society is facing.

Theme 1: Studying the impact of anthropogenic actvities on ecosystems dynamics

Theme 2: Dynamics and evolution of the urban complex system


Projects


Phd Students

MSc Students


Organisation and conferences

Organisation boards

Program committee