KAUST President Tony F. Chan has been awarded the 2020 SIAM Prize for Distinguished Service to the Profession. The award recognizes Chan's contributions to applied and computational mathematics, imaging science, and scientific computing. Chan has served on advisory boards for KAIST, SUSTech, and the University of Vienna, and is a member of the NEOM Higher Council. Why it matters: The recognition highlights KAUST's leadership and influence in advancing mathematical sciences and its applications on a global stage.
KAUST Ph.D. student Chiheb Ben Hammouda won the best poster award at the Society for Industrial and Applied Mathematics Conference on Financial Mathematics & Engineering (FM19) for his work on option pricing under the rough Bergomi model. The winning poster, titled "Hierarchical adaptive sparse grids and quasi-Monte Carlo for option pricing under the rough Bergomi model," details research carried out under the supervision of KAUST Professor Raul Tempone. The research group designed new efficient numerical methods for pricing derivatives under the rough Bergomi model by combining smoothing techniques. Why it matters: This award highlights KAUST's growing expertise in financial mathematics and its contribution to solving complex problems in the field using advanced numerical methods.
The article mentions several KAUST faculty and staff, including Matteo Parsani (Assistant Professor of Applied Mathematics), Teofilo Abrajano (Director of Sponsored Research), and David Keyes (Director of the Extreme Computing Research Center). It also references a talk by NASA Senior Scientist Mark Carpenter at the SIAM CSE 2017 conference. The article includes a photograph of King Abdullah bin Abdulaziz Al Saud. Why it matters: This appears to be general information about KAUST faculty and activities, but lacks specific details on research or AI developments.
KAUST's Stochastic Numerics Research Group is developing methods for pricing European options. Their approach, detailed in an upcoming Journal of Computational Finance article, focuses on systematically tuning parameters to achieve accuracy while minimizing computational effort. The goal is to enable automated computation of fair prices for options contracts, similar to how insurance companies determine premiums. Why it matters: This research advances computational finance in the region, potentially improving risk management and investment strategies.
KAUST Professor Peter Markowich has been named a 2022 Fellow of the American Mathematical Society (AMS). He is recognized for contributions to partial differential equations, particularly the mathematical and numerical analysis of dispersive equations. Markowich applies differential mathematics to disciplines such as physics, AI, biology and engineering, including research on leaf venation patterns. Why it matters: This recognition highlights KAUST's strength in applied mathematics and its faculty's contributions to both theoretical and interdisciplinary research.
Scimagine is a KAUST-based startup that provides a cloud-based platform for managing and storing experimental data for material scientists. The platform allows researchers to store, manage, and share their data, as well as create scientific visuals. It addresses the problem of experimental data being hidden in PDF files and not easily searchable. Why it matters: This platform improves data accessibility and collaboration in materials science research, potentially accelerating discovery and innovation in the field.
KAUST hosted the Advances in Uncertainty Quantification Methods, Algorithms and Applications conference (UQAW2016) in January 2016. The event featured 75 presentations and 20 invited speakers from various countries. Professor Raul Tempone presented research on computational approaches to fouling accumulation and wear degradation using stochastic differential equations. Why it matters: This work provides a new computational approach based on stochastic differential equations to predict fouling patterns of heat exchangers which can optimize maintenance operations and reduce engine shut-down periods.
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.