CEMSE Weekly Updates - March 3, 2026 Tue, Mar 3 2026 Newsletter Upcoming Events Stay informed about the upcoming events and the latest news from CEMSE. Simulation of Metasurfaces Described by Generalized Sheet Transition Conditions Using Integral Equations Sebastian Celis Sierra, Postdoctoral Research Fellow, Electrical and Computer Engineering Mar 8, 00:00 - 01:00 B9 L2 R2325 Metasurfaces computational electromagnetics Computer simulations numerical integration This seminar outlines the development of computationally efficient integral equation solvers that simulate complex multiscale metasurfaces by modeling their physical geometries as infinitesimally thin sheets governed by generalized sheet transition conditions, thereby avoiding the need for full volumetric discretization. Geospatial Data Science for Public Health Surveillance Paula Moraga, Assistant Professor, Statistics Mar 9, 11:15 - 12:45 B4/5 L0 A0215; Zoom Meeting 94713495879 Geospatial Data Public Health Public health surveillance geospatial statistics statistical methods This talk presents an overview of our research on innovative statistical methods and computational tools for geospatial data analysis and health surveillance, and how this work has directly informed strategic policy to reduce disease burden. Extreme Computing Universals David Keyes, Professor, Applied Mathematics and Computational Science Mar 9, 12:00 - 13:00 B9 L2 R2325 HPC APIs extreme computing smart systems parallel computing software development This talk redefines "extreme" computing as operating under severe resource constraints rather than just massive scale, outlining universal algorithmic, hardware, and system-level strategies to overcome these challenges, illustrated by KAUST success stories. Learning to Identify and Exploit Neural Network Dynamics in Multi-Step Inference Haozhe Liu, Ph.D. Student, Computer Science Mar 9, 13:30 - 15:30 B4 L5 R5220; Zoom Meeting 95866424218 This dissertation studies the temporal dynamics of multi-step inference and reveals that contributions across steps are sparse and uneven. Provable and Measurable Machine Unlearning in Modern Learning Systems Cheng-Long Wang, Ph.D. Student, Computer Science Mar 10, 10:30 - 12:30 B2 L5 R5209 Machine Unlearning Data Privacy Trustworthy AI Federated learning machine learning AI This dissertation examines the foundations of machine unlearning under realistic learning system constraints and proposes both theoretically grounded unlearning algorithms and principled evaluation frameworks for modern learning systems. Mathematical Modelling of Solar Cells Theodoros Katsaounis, Professor, Department of Mathematics and Applied Mathematics, University of Crete (UoC) Mar 10, 11:00 - 12:30 B1 L3 R3119 solar cells Mathematical modeling PDEs numerical PDEs This talk presents the development and the numerical approximation of mathematical models for some well known solar cell architectures. Advances in Multiscale Hierarchical Decomposition Methods for Image Restoration Luminita Vese, Professor of Mathematics, University of California, Los Angeles (UCLA) Mar 10, 14:30 - 15:30 B1 L3 R3119; Zoom Meeting 99254591389 This talk will present the multiscale hierarchical decomposition method (MHDM) for image restoration and scale separation, building on the framework introduced by Tadmor, Nezzar, and me. Extrapolated Linear Multistep Methods Lajos Lóczi, Research Scientist, Applied Mathematics and Computational Science Mar 12, 12:00 - 13:00 B9 L2 R2325 ODEs PDEs numerical methods linear multistep methods LMMs In this talk, we will discuss how linear multistep methods and classical extrapolation can be combined to obtain new classes of efficient time-integration methods.
