Seminar
Mar 27 - Apr 2, 2022
Mar 20 - Mar 26, 2022
Waste-free Sequential Monte Carlo
Prof. Nicolas Chopin, Professor of Statistics, ENSAE, Paris
KAUST
Mar 6 - Mar 12, 2022
Some Variational Problem in Morphoelasticity
Ulisse Stefanelli, Professor, Chair of Applied Mathematics and Modeling University of Vienna
KAUST
The conditional particle filter - scalable MCMC for dynamic models
Prof. Matti Vihola, Professor of Statistics, University of Jyväskylä, Finland
KAUST
Feb 13 - Feb 19, 2022
Intermediate Distributions and Complexity Bounds for SMC
Prof. Anthony Lee, School of Mathematics, University of Bristol
KAUST
Feb 6 - Feb 12, 2022
Phase Separation in Heterogeneous Media
Irene Fonseca, Center for Nonlinear Analysis, Carnegie Mellon University
KAUST
Jan 30 - Feb 5, 2022
Exoplanet Imaging Coronagraphic Mask Development and Testing: A North American Perspective
Benjamin L. Gerard, Postdoctoral Scholar, University of California, UC Observatories
KAUST
Elliptic PDEs: Regularity under minimal assumptions - Part 3
Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy
B1 L4 R4102
Elliptic PDEs: Regularity under minimal assumptions - Part 2
Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy
B1 L4 R4214
Jan 23 - Jan 29, 2022
Designing a Stable Periodic Orbit for a Triple Pendulum on a Cart
Prof. Johann Reger, Automation and Systems Engineering, Technische Universität Ilmenau
B1 L4 R4214
Elliptic PDEs: Regularity under minimal assumptions - Part 1
Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy
B1 L4 R4102
Nov 21 - Nov 27, 2021
Is probability theory the only viable solution to modelling statistical information?
Prof. Jeremie Houssineau, Department of Statistics, University of Warwick.
KAUST
Nov 7 - Nov 13, 2021
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference In Diffusion Models
Prof. Alexandros Beskos, the Dept of Statistical Science, University College London (UCL)
KAUST
On Recently Developed Non-Gaussian Priors and Sampling Methods with Application to Industrial Tomography
Prof. Lassi Roininen, Applied Mathematics, LUT University
B1 L4 R4214
Oct 31 - Nov 6, 2021
Particle Approximations For Partially Observed Fluid Dynamics Models
Professor Dan Crisan, Mathematics, Imperial College London
KAUST
High order schemes for hyperbolic balance laws - Topic 3
Giovanni Russo, Full Professor, Mathematics and Computer Science, University of Catania, Italy
B1 L4 R4102
Oct 24 - Oct 30, 2021
High order schemes for hyperbolic balance laws - Topic 2
Giovanni Russo,Full Professor,Mathematics and Computer Science, University of Catania, Italy
B1 L4 R4102
High order schemes for hyperbolic balance laws - Topic 1
Giovanni Russo, Professor, Mathematics and Computer Science, University of Catania, Italy
B1 L4 R4102
On supercomputers and engineering applications: DNS, modeling, and GPUs
Mathis Bode, Researcher, Institute for Combustion Technology (ITV) at RWTH Aachen University
B2 L5 R5209
Regularity for singular and degenerate pdes: qualitative vs. sharp estimates
José Miguel Urbano, Professor of Mathematics at the University of Coimbra, Portugal
B9 L2 H2
Oct 10 - Oct 16, 2021
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London
KAUST
Theory and Application of Neural Networks III
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
B9 L2 R2322
Theory and Application of Neural Networks II
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
B4 B5 A0215
Theory and Application of Neural Networks I
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
B4 B5 A0215
Sep 26 - Oct 2, 2021
Randomized multilevel Monte Carlo for inference
Kody J.H. Law, Professor, Applied Mathematics in the Department of Mathematics, University of Manchester and Manchester Institut
KAUST
Sep 5 - Sep 11, 2021
Finite element approximation of fluid-structure interactions: a fictitious domain approach
Lucia Gastaldi, Professor, Numerical Analysis at the University of Brescia, Italy
B1 L4 R4102
Aug 29 - Sep 4, 2021
Sequential Monte Carlo Algorithms for Agent-Based Models of Disease Transmission
Jeremy Heng, Applied Mathematics and Computational Sciences (AMCS), ESSEC Business School, Singapore
KAUST
Aug 15 - Aug 21, 2021
Machine Learning in Healthcare: When Low Sample Size is not a Limitation
Dr. Ricardo Henao, Biostatistics and Bioinformatics, Duke University
KAUST
Mar 21 - Mar 27, 2021
Minimal-time Mean Field Games
Samer Dweik, Postdoctoral Fellow, University of British Columbia
KAUST
Mar 14 - Mar 20, 2021
Mathematical Modeling and Analysis of Emergent Phenomena
Jan Haskovec, Research Scientist, AMCS, KAUST
KAUST
Mar 7 - Mar 13, 2021
Analysis of the compressible two-phase flow
Dr. Ewelina Zatorska, Senior Lecturer in the Applied and Numerical Analysis, Imperial College London
KAUST
Feb 14 - Feb 20, 2021
Recent developments for stochastic processes and their applications
Ahmed Kebaier, Associate Professor, Laboratory Analysis, Geometry and Application (LAGA), University Sorbonne Paris Nord (USPN)
KAUST
Feb 7 - Feb 13, 2021
High Order Numerical Methods for Acoustic and Elastic Scattering
Prof. Vianey Villamizar, Department of Mathematics, Brigham Young University, USA
KAUST
Jan 31 - Feb 6, 2021
Monte Carlo based Inference for State-space Models
Sumeetpal Singh, Reader, Engineering Statistics, Department of Engineering, University of Cambridge
KAUST
Jan 10 - Jan 16, 2021
Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning
Arnulf Jentzen, Professor, Applied Mathematics Münster: Institute for Analysis and Numerics, University of Münster
KAUST
Jan 3 - Jan 9, 2021
Mean Field Games: Numerical Methods and Applications
Mathieu Laurière, Postdoc, Department of Operations Research and Financial Engineering, Princeton University
KAUST
Sep 27 - Oct 3, 2020
Nonlinear and dispersive waves: Theory, computations and applications
Dr. Dimitrios Mitsotakis, Senior Lecturer, Victoria University of Wellington
KAUST
Feb 23 - Feb 29, 2020
Feb 16 - Feb 22, 2020
Feb 9 - Feb 15, 2020
Feb 2 - Feb 8, 2020
A regularized shallow-water waves system with slip-wall boundary conditions: Theory and numerical analysis
Dimitrios Mitsotakis, Senior Lecturer, School of Mathematics and Statistic Victoria University of Wellington, New Zealand
B1 L4 R4214
Jan 26 - Feb 1, 2020
Dynamics and Convergence of Weight Normalization for Training Neural Networks
Guido Montufar, Assistant Professor, Departments of Mathematics and Statistics, University of California, Los Angeles (UCLA)
B1 L3 R3119
Jan 19 - Jan 25, 2020
A very short introduction to regularity theory for linear elliptic equations - Part 4
Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal
B1 L3 R3119
A very short introduction to regularity theory for linear elliptic equations - Part 3
Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal
B1 L3 R3119
Jan 12 - Jan 18, 2020
A very short introduction to regularity theory for linear elliptic equations - Part 2
Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal
B1 L2 R2202
A very short introduction to regularity theory for linear elliptic equations - Part 1
Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal
B1 L3 R3119
Well-posedness and stability results for laminated Timoshenko beams with interfacial slip and infinite memory
Prof. Aissa Guesmia, University of Lorraine, Metz, France
B1 L4 R4214
Nov 3 - Nov 9, 2019
Oct 20 - Oct 26, 2019
Selected applications of splines of arbitrary manifold topology
Pieter Barendrecht, PhD Student, Computer Science, University of Groningen, The Netherlands
B1 L4 R4214