Associate Professor Department of Earth and Space Sciences, |Academy for Advanced Interdisciplinary Studies
Professor Mignan joined SUSTech in 2020. He received his PhD (2006) in Geophysics from the Tectonics Department of Institut de Physique du Globe de Paris. He then worked as a Senior Catastrophe Risk Modeller at the leading risk modelling firm Risk Management Solutions (RMS), London (2006-2010), before becoming Senior Researcher at the Swiss Federal Institute of Technology in Zurich (ETHZ) and Swiss Competence Centre for Energy Research (SCCER) (2010-2020). He has published more than 60 peer-reviewed articles, including several book chapters, invited review articles, and articles in high-impact journals such as Nature and Applied Energy, with >1,500 Google scholar citations and a H-index of 24, as of year 2020. His work on catastrophe dynamics, domino effects and critical infrastructure stress testing has been featured in a EuroNews documentary and some renowned Swiss newspaper. He has been invited to present his work in world-leading universities including Harvard and Stanford.
System dynamics (catastrophe dynamics, extreme events, energy systems), event forecasting and prediction, risk governance (decision making under uncertainty, risk communication), machine learning (Bayesian inference, deep learning, reinforcement learning), and meta-science (history of science, identification of trends & status-quo biases, exploration of new theoretical horizons). Promotes cross-disciplinary research and reasoned imagination by combining physics, data analytics and behavioural science.
NSFC 2020 general program project: 'Earthquake Cascading Effects quantified by the Earthquake Hazard Adjacency Matrix using Graph Theory & Machine Learning for Improved Societal Resilience'
Spring 2021 (to be confirmed): Introduction to Catastrophe Risk Modelling; Article reading in Earth Sciences