Will AI Replace Professors? Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor, Computer Science and Engineering, University of California, San Diego Dec 4, 12:00 - 13:00 B2/B3 A0215
KAUST Workshop on Distributed Training in the Era of Large Models Nov 24 - 26, All day Auditorium between B4 & 5, L0, R0215 machine learning Distributed algorithms generative models ML
Geospatial Data Science for Public Health Surveillance Paula Moraga, Assistant Professor, Statistics Nov 20, 11:00 - 12:00 B9 L2 R2325 statistical methods geospatial data analysis health surveillance Public Health spatio-temporal data analysis
First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data Arto Maranjyan, Ph.D. Student, Computer Science Nov 13, 12:00 - 13:00 B9 L2 R2325 machine learning optimization asynchronous algorithms Training
Mathematical Modeling of Two-Population Pedestrian Congestion Noureddine Igbida, Full Professor, Applied Mathematics, Institut de Recherche XLIM, Université de Limoges Nov 11, 16:00 - 17:00 B1 L3 R3426 Diffusion Models pedestrian dynamics numerical methods
Reduced Krylov Basis Methods for Parametric Partial Differential Equations Ludmil Zikatanov, Professor, Mathematics, Pennsylvania State University Nov 11, 14:30 - 15:30 B1 L3 R3119
Success and Challenges of Computational Fluid Dynamics for Engineering Applications Feng Liu, Professor, Department of Mechanical and Aerospace Engineering, University of California, Irvine Nov 11, 13:30 - 14:30 B1 L3 R3119 CDF Computer simulations Turbulent algorithms
AI and Mathematics: Efficient Machine Learning Algorithms Inspired by Dynamical Systems, Complex Analysis, and Embedding Theory Zhihong Xia, Chair Professor, Department of Mathematics, Southern University of Science and Technology Nov 11, 10:30 - 11:30 B9 L3 R3120 AI machine learning PDEs Dynamical Systems scientific computing
Towards Flexible Polyhedral Nets Pirahmad Olimjoni, Ph.D. Student, Applied Mathematics and Computational Science Nov 10, 14:30 - 15:30 B4 L5 R5209 Isotropic Geometry discrete differential geometry applied mathematics algorithms optimization
Proper Random Walk Spline Models Eman Kabbas, Ph.D. Student, Applied Mathematics and Computational Science Nov 2, 15:00 - 17:00 B3 L5 R5209 Bayesian and computational Statistics data science
Accelerating Branch-and-Bound Graph Algorithms with GPUs Izzat El Hajj, Assistant Professor, Computer Science, American University of Beirut Oct 30, 12:00 - 13:00 B9 L2 R2325
Unlocking Euclidean Problems with Isotropic Initialization Mikhail Skopenkov, Research Scientist, Computer Science Oct 30, 12:00 - 13:00 B9 L2 R2325
Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity Arto Maranjyan, Ph.D. Student, Computer Science Oct 28, 14:30 - 15:30 B1 L3 R3119
Collective Behaviors - From Traffic Congestion to Chase-and-Escape Toru Ohira, Professor, Dean of the Graduate School of Mathematics, Nagoya University, Japan Oct 26, 14:30 - 15:30 B5 L5 R5220 Mathematical modeling
A Generalized Gaussian Min–Max Framework Inferring Post-Processing Effects in High-Dimensional Estimation Abla Kammoun, Senior Research Scientist, Electrical and Computer Engineering Oct 21, 14:30 - 15:30 B1 L3 R3119 statistical analysis
Bias-Reduced Estimation of Structural Equations Models Haziq Jamil, Research Specialist, Statistics Oct 16, 12:00 - 13:00 B9 L2 R2325
Block Low-Rank Matrices for Modern Scientific Computing Daria Sushnikova, Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering Oct 9, 12:00 - 13:00 B9 L2 R2325
Daria Sushnikova, Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering
AI for Science: AI-Driven Knowledge Discovery Dongxiao Zhang, Chair Professor, Faculty of Engineering; Provost and Executive Vice President, Eastern Institute of Technology, Ningbo (EIT) Oct 2, 14:30 - 15:30 B1 L3 R3119 AI machine learning
Efficient Bayesian Methods for Biostatistics Janet van Niekerk, Research Scientist, Statistics Oct 2, 12:00 - 13:00 B9 L2 R2325 bayesian methods
Towards Finite Element Tensor Calculus Kaibo Hu, Associate Professor, Mathematical Institute, University of Oxford Sep 30, 14:30 - 15:30 B1 L3 R3119 Finite elements tensor calculus PDEs
New Challenges in the Kinetic Theory of Complex Fluids Umberto Zerbinati, Stipendiary Lecturer, Oriel College, University of Oxford Sep 29, 16:00 - 17:00 B1 L4 R4214 PDEs numerical PDEs Kinetic Theory
Nonparametric Functional Quantiles, Skewness, and Probability Bands via the Functional Signed Directionality Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics Sep 25, 12:00 - 13:00 B9 L2 R2325 functional signed directionality
Neural Methods for Amortized Inference with Models for Spatial Extremes Raphaël Huser, Associate Professor, Statistics Sep 18, 12:00 - 13:00 B9, L2, R2325
From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs Peter Richtarik, Professor, Computer Science Sep 16, 16:00 - 17:00 B1 L3 R3119 AI machine learning optimization algorithms LLM
Gaussian Random Fields on Metric Graphs David Bolin, Professor, Statistics Sep 11, 12:00 - 13:00 B9 B2 L2325 Gaussian random fields Metric graphs Statistical Modeling
From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs Peter Richtarik, Professor, Computer Science Sep 4, 12:00 - 13:00 B9 L2 R2325 AI machine learning optimization algorithms LLM
Randomized Greedy Algorithms for Neural Network Optimization in Solving Partial Differential Equations Xiaofeng Xu, Ph.D. Student, Applied Mathematics and Computational Science Jul 15, 17:00 - 19:00 B4 L5 R5220 PDEs optimization machine learning randomized orthogonal greedy algorithm
Discovery of Low-Dimensional Generative Models for Complex Dynamical Systems Juan Pablo Muñoz Díaz, Ph.D. Student, Applied Mathematics and Computational Science Jul 9, 09:00 - 10:00 B2 L5 R5220; Zoom Meeting 95274807609 generative ai applied mathematics bioscience Dynamical Systems deep learning
Theory and Implementation of Novel Numerical Methods for Multiphysics Interface Problems Najwa Alshehri, Ph.D. Student, Applied Mathematics and Computational Science Jul 8, 15:00 - 17:00 B2/B3 L0 R0215 finite element method numerical analysis fluid-structure interactions mixed finite elements
Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2025 May 18, 09:00 - May 25, 15:30 Auditorium 0215 between B2 & B3 stochastic algorithm statistical learning machine learning
Perturbation Methods in PDE: from Heuristics to Breakthroughs in Regularity Theory - Part 3 Dr. Eduardo Teixeira, Professor of Mathematics, Department of Mathematics, University of Central Florida, USA May 15, 16:15 - 17:30 B1 L4 R4102
The Signed Translation Transformed Depth: Order, Quantiles, Spread, Skewness, and Quantile Regression for Multivariate Functional Data Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics May 15, 12:00 - 13:00 B9 L2 R2325 multivariate analysis
Perturbation Methods in PDE: from Heuristics to Breakthroughs in Regularity Theory - Part 2 Dr. Eduardo Teixeira, Professor of Mathematics, Department of Mathematics, University of Central Florida, USA May 14, 16:15 - 17:30 B1 L3 R3119
Nonlocal Degenerate PDEs: Bridging Free Boundary Problems and Critical-point Models Eduardo Teixeira, Graduate Director & Professor, Department of Mathematics, University of Central Florida May 13, 16:00 - 17:00 Building 1, Level 3, Room 3426 nonlocal degeneracies local extrema models regularity estimates
Topological Phenomena in Artificial Materials Xiujuan Zhang, Associate Professor, School of Engineering and Applied Sciences, Department of Material Science and Engineering, Nanjing University May 12, 10:00 - 11:00 B1 L3 R3119 topological phenomena artificial materials
Xiujuan Zhang, Associate Professor, School of Engineering and Applied Sciences, Department of Material Science and Engineering, Nanjing University
Perturbation Methods in PDE: from Heuristics to Breakthroughs in Regularity Theory - Part 1 Dr. Eduardo Teixeira, Professor of Mathematics, Department of Mathematics, University of Central Florida, USA May 11, 16:15 - 17:30 B1 L3 R3119
Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation Qilong Pan, Ph.D. Student, Statistics May 8, 12:00 - 13:00 B9 L2 R2325 machine learning Geospatial Data GPU Computing
Current and Future Challenges and Solutions in AI & HPC System and Thermal Management Dr. Gamal Refai-Ahmed, Senior Fellow & Chief Architect, AMD Member of U.S. National Academy of Engineering Life Fellow, Canadian Academy of Engineering Fellow, Engineering Institute of Canada Fellow & Distinguished Lecturer, IEEE Life Fellow, ASME May 6, 13:00 - 17:00 B4 L5 R5209
First-Order Mean-Field Games with Entry-Exit Flow Constraints and Contact-Set Conditions AbdulRahman Alharbi, Ph.D. Student, Applied Mathematics and Computational Science May 4, 12:30 - 14:30 B9 L4 R4225; Zoom Meeting 95071981979 mean-field models free boundary problems
Retraction Maps, Feedback Linearization and Nonholonomic Integrators Ravi Banavar, Professor, Systems and Control Engineering, IIT Bombay May 1, 12:00 - 13:00 B9 L2 R2325
Linear Solvers for Large-Scale Bayesian Modeling Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics Apr 24, 12:00 - 13:00 B9 L2 R2325
Homogenization and Wave Functional Materials Ying Wu, Program Chair, Applied Mathematics and Computational Science Apr 17, 12:00 - 13:00 B9 L2 R2325 Wave functional materials Homogenization
The Earliest Arrival of Quantum Advantage David Keyes, Professor, Applied Mathematics and Computational Science Apr 10, 12:00 - 13:00 B9 L2 R2325 quantum computing quantum processing unit supercomputers
Helmholtz–Korteweg Equations: Modeling, Analysis, and Applications Umberto Zerbinati Apr 8, 15:00 - 16:00 B1 L4 R4102 Korteweg fluids Helmholtz–Korteweg equation
Workshop on Analysis and PDEs Apr 7, 08:00 - Apr 10, 17:00 B3, L5, R5220 PDEs Analysis of PDE's fluid dynamics free boundary problems energy minimization Mathematical Biology
Some Contributions to Particle and Unbiased Simulation Methods Elsiddig Awadelkarim Elsiddig, Postdoctoral Research Fellow, Statistics Mar 26, 10:00 - 12:00 B3 L5 R5209; Zoom Meeting 95303621356 Bayesian Statistics machine learning
Dimension Liftings for Quantum Computation of Partial Differential Equations and Related Problems Shi Jin, Director of Institute of Natural Sciences, Chair Professor of Mathematics, Shanghai Jiao Tong University Mar 25, 16:00 - 17:00 B1 L3 R3119 PDEs Schrödinger equation quantum simulation quantum computing
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining Mikhail Moshkov, Professor, Applied Mathematics and Computational Science Mar 20, 12:00 - 13:00 B9, L2, R2325
On the Use of "Conventional" Unconstrained Minimization Solvers for Training Regression Problems in Scientific Machine Learning Stefano Zampini, Senior Research Scientist, Hierarchical Computations on Manycore Architectures Mar 13, 12:00 - 13:00 B9 L2 R2325 petsc PETScML machine learning
Viscous Thin Films Driven by Thermal Noise Manuel V. Gnann, Assistant Professor, Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Netherlands Mar 11, 16:00 - 17:00 B1 L3 R3119
