stochastic optimization

Distributed AI: Optimal algorithms for distributed stochastic non-convex optimization

Usman A. Khan, Associate Professor, Tufts University

Apr 1, 14:45 - 15:30

KAUST

Featured Sessions

RobotoKAUST Multi-agent systems Nonconvex problems stochastic optimization

For more information please visit the website

Raul Tempone

Professor, Applied Mathematics and Computational Sciences

numerical analysis Computational finance computational statistics stochastic differential equations uncertainty quantification bayesian inference data assimilation hierarchical and sparse approximation optimal control optimal experimental design stochastic optimization

Professor Raul Tempone is an worlwide recognized researcher in numerical analysis and uncertainty quantification. Professor Raul Tempone at KAUST leads the stochastic numerics research group, significantly contributing to Saudi Arabia's Vision 2030 goals through advancements in computational science. His work in adaptive algorithms, Bayesian inverse problems, and scientific machine learning drives forward critical applications in technology and sustainability, embodying KAUST's commitment to global scientific leadership and economic diversification.

Li Xia

Postdoctoral Research Fellow, Networking Research Lab

Operations Research stochastic optimization Queueing theory

Li Xia was a Postdoctoral Research Fellow at Networking Research Lab (NETLAB) in King Abdullah University of Science and Technology (KAUST), working with Professor Basem Shihada in his research group. Currently, Li is an Associate Professor at Tsinghua University, China. Research Interests Li's research interests included Operations research, stochastic optimization, queueing theory, Markov decision processes. Selected Publications L. Xia and B. Shihada, "Decentralized Transmission Scheduling in Energy-Critical Multi-Hop Wireless Networks", in Proc. American Control Conference, pp. 113-118