[Lecture] Machine Learning Coupled to Molecular Dynamics for Flotation
Update Time:2025-09-09 11:38:02

Topic: Machine Learning Coupled to Molecular Dynamics for Flotation

Lecturer: Prof. Michael Badawi

Time: September 9th, 2025, 15:00, UTC+8

Venue: Lecture Hall, 3rd Floor, North Building, School of Resources and Environmental Engineering


Biography: Michaël Badawi is a Full Professor at the University of Lorraine, habilitated to direct research in 2019. He is an expert in atomistic quantum-based modeling (DFT) applied to gas adsorption and separation in porous materials, and more generally for in silico design of materials for environmental applications and energy production using modern atomistic simulation techniques like ab initio molecular dynamics. He is the holder of the industrial chair MULTIMINE with the ArcelorMittal company dedicated to the optimization of iron ore flotation (2023-2026). He has experienced project management (1 FEDER, 1 PIA, 1 industrial chair, 2 PHC) and has been involved as PI in several national, European and international projects so far. He has supervised 10 post-docs and 10 PhDs. He holds more than 200 publications.


Rewritten by: Mei Mengqi

Edited by: Li Tiantian

Source: School of Resources and Environmental Engineering