KAUST Ph.D. students win best paper awards at mean-field games conferences
KAUST · · Notable
Summary
KAUST Ph.D. students David Evangelista and Xianjin Yang won best paper awards at international conferences this summer for their work in mean-field game theory. Evangelista's paper focused on solutions for stationary mean-field games with congestion, while Yang's paper developed numerical methods for homogenization problems. The awards were presented at the 18th International Symposium on Dynamic Games and Applications in France and the 12th American Institute of Mathematical Sciences (AIMS) Conference in Taiwan. Why it matters: The recognition highlights KAUST's strength in applied mathematics and computational science, specifically in the emerging field of mean-field games with applications across various domains.
Keywords
KAUST · mean-field games · dynamic games · applied mathematics · best paper award
Get the weekly digest
Top AI stories from the GCC region, every week.