Event Content

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2 (2) | 5 (1) | A (17) | B (10) | C (17) | D (18) | E (24) | F (13) | G (7) | H (6) | I (6) | J (4) | K (1) | L (6) | M (17) | N (3) | O (11) | P (11) | Q (4) | R (8) | S (28) | T (16) | U (1) | V (1) | W (7)

	Nov 15, 12:00 - 13:00, Functional Differential Equations in Models of Collective Behavior - Graduate Seminar (B9 L2 R2322), Jan Haskovec, Senior Research Scientist, Applied Mathematics and Computational Sciences	Differential Equation, Functional, Graduate Seminar
	Feb 15, 12:00 - 13:00, Fuzzy clustering of circular time series based on a new distance with applications to wind data (B9 L2 H2 H2), Ángel López Oriona, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Apr 21, 16:30 - 17:30, Gaussian Graphical Regression with High-Dimensional Responses and Covariates (B2 B3 A0215), Yi Li, Professor, Biostatistics, University of Michigan	Seminar
	Nov 29, 16:00 - 17:00, Generic Regularity in Obstacle Problems (KAUST), Professor Alessio Figalli, ETH Zurich	Lecture
	Apr 9, 12:00 - 13:00, Geometry and Computational Design (KAUST),	computational design, Geometry, Graduate Seminar
	Apr 28, 12:00 - 13:00, Geometry for computational design and fabrication (B9 L2 H2),	Graduate Seminar
	Dec 10, 12:00 - 13:00, Geospatial Data Science for Public Health Surveillance - Graduate Seminar (KAUST)	Graduate Seminar
	Feb 5, 12:00 - 13:00, Geospatial Data Science for Public Health Surveillance - Seminar (B9 L2 H2), Paula Moraga, Lecturer, Department of Mathematical Sciences, University of Bath, UK	Geospatial Data, Public Health, Seminar
	Sep 14, 12:00 - 13:00, Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function (B9 L2 H2), Maicon J. Karling, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Nov 25, 12:00 - 13:00, Hidden Backdoors in Deep Learning Systems (B9 L2 H1 R2322), Prof. Ben Zhao, Computer Science, University of Chicago, USA	Lecture
	Feb 16, 11:00 - 12:00, High-dimensional inference for max-stable processes (KAUST), Dr. Boris Beranger, Lecturer in Statistics, University of New South Wales, Sydney	extreme environmental events, Max-stable processes, Seminar
	Mar 31, 12:00 - 13:00, High-dimensional Q-learning for Dynamic Treatment Regimes (B3 L5 R5220), Prof. Rui Song, Department of Statistics, North Carolina State University	data analysis, HQ-learning, simulation, statistical inference, Seminar
	Sep 2, 12:00 - 13:00, High-resolution Modeling and Estimation of Extreme Red Sea Surface Temperature Hotspots (KAUST), Raphaël Huser, Associate Professor, Statistics	Graduate Seminar
	Nov 16, 12:00 - 13:00, How do periodic structures affect nonlinear waves? (B9 L2 H2), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Oct 5, 12:00 - 13:00, How many sample points do we need for least squares? (B9 L2 H2), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	Graduate Seminar
	Dec 5, 12:00 - 13:00, Improving Optimization of Likelihood-based Generative Models with One Line of Code (B9, L2, R2325), Maurizio Filippone, Associate Professor, Statistics	Graduate Seminar
	Oct 20, 15:00 - 16:00, Inference for Longitudinal Data After Adaptive Sampling (B9 L2 H2), Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University	Reinforcement Learning, Seminar
	Apr 23, 16:00 - 17:00, Inference for Spatial Trends (B1 L4 R4102), Professor Ngai Hang Chan, Professor of Statistics, Chinese University of Hong Kong	Seminar
	Nov 17, 10:00 - 11:00, Interval Prediction for Spatial Data Using Deep Learning Models (B1 L4 R4102), Ghulam Qadir, Posdoctoral fellow, Computational Statistics group at Heidelberg Institute for Theoretical Studies, Germany	Seminar
	May 9, 12:00 - 13:00, Intracellular "in silico microscopes" - Fully 3D Spatio-Temporal Virus Replication Model Simulations (B9 L2 H2 H2), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Aug 30, 12:00 - 13:00, Introduction to AMCS / STAT Graduate Seminar 398 (B9 L2 R2322), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	May 9, 12:00 - 13:00, Joint longitudinal-survival models using R-INLA (B9 L2 H1), Janet van Niekerk, Research Scientist, Statistics	R-INLA, stochastic smoothing pipeline, Graduate Seminar
	Nov 4, 12:00 - 13:00, Joint modeling of dependent diverse format data: A review from several case-studies (KAUST), Giovani Silva, PhD in Mathematics (IST) at the University of Lisbon	Graduate Seminar
	Jun 6, 15:00 - 17:00, Joint Posterior Inference for Latent Gaussian Models and extended strategies using INLA (B3 L5 R5209), Cristian Chiuchiolo, Ph.D. Student, Electrical and Computer Engineering	Bayesian computational statistics, Bayesian Statistics, PhD Dissertation Defense
	Nov 7, 15:00 - 16:00, Joint Quantile Disease Mapping for Areal Data (B1 L4 R4102), Hanan Alahmadi, Ph.D. Student, Statistics	Thesis Defense
	Nov 9, 15:00 - 16:30, Kriging Asymptotics (B1 L4 R4102), William Kleiber, Assistant Professor, University of Colorado	spatial statistics, Seminar
	Jun 7, 17:00 - 19:00, Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields (KAUST), Mary Lai O. Salvana, Ph.D. Student, Statistics	PhD Dissertation Defense
	Oct 19, 12:00 - 13:00, Latent Gaussian Spatial Modelling with Change of Support (B9 L2 H2), Erick Chacon Montalvan, Postdoctoral fellow, Statistics Geohealth Group, KAUST	Graduate Seminar
	May 30, 15:30 - 17:30, Leave-Group-Out Cross-Validation for Latent Gaussian Models (B1 R4102;), Zhedong Liu, Ph.D. Student, Statistics	PhD Dissertation Defense
	Nov 22, 12:00 - 13:00, Lipschitz learning and the infinity-Laplacian (B9 L2 R2322), Miguel Urbano, Professor, Applied Mathematics and Computational Sciences	infinity Laplacian, Lipschitz additive nonlinear uncertainty, Graduate Seminar
	Nov 27, 12:00 - 13:00, LoCoDL: Communication-Efficient Distributed Optimization with Local Training and Compression (B9, L3, R3125), Laurent Condat, Senior Research Scientist, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Sep 6, 12:00 - 13:00, Low Rank Everywhere (Almost) (B9 L2 R2322), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	computational science, data sparsity, hierarchical low rank, low rank, Graduate Seminar
	Mar 10, 12:00 - 13:00, Machine learning assisted forward and inverse design modeling (KAUST), Waqas Waseem Ahmed, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	Graduate Seminar
	Aug 17, 14:30 - 15:30, Machine Learning in Healthcare: When Low Sample Size is not a Limitation (KAUST), Dr. Ricardo Henao, Biostatistics and Bioinformatics, Duke University	Seminar
	Feb 6, 12:00 - 13:00, Mathematical modeling of the stochastic climate system (B9 L2 H1), Georgiy L. Stenchikov, Professor (former), Earth Science and Engineering	climate projections, weather, Graduate Seminar
	Oct 25, 12:00 - 13:00, Mean-Field Games on Networks and Wardrop Equilibria - Graduate Seminar (B9 L2 R2322), Ricardo De Lima Ribeiro, Research Specialist, CEMSE, KAUST	mean-field games, Graduate Seminar
	Nov 5, 14:00 - 15:00, Mixed graphical-basis models for large nonstationary and multivariate spatial data problems (B1 L4 R4102), Dr. William Kleiber, Associate Professor of Applied Mathematics, University of Colorado, USA	multivariate spatial processes, statistical climatology and statistics for energy sciences, Seminar
	Apr 24, 16:00 - 18:00, Model Survival Data with high and ultrahigh dimensional predictors: feature screening and statistical inference - Lecture 2 (B1 L4 R4102), Yi Li, Professor, Biostatistics, University of Michigan	Lecture
	Apr 4, 16:00 - 19:00, Modeling and Inference for Multivariate Time Series, with Applications to Integer-Valued Processes and Nonstationary Extreme Data (B4 L5 R5220), Matheus B. Guerrero, Ph.D. Student, Statistics	autoregressive processes, integer-valued data, multivariate nonstationary extreme data, statistical methods, PhD Dissertation Defense
	Apr 4, 17:00 - 19:00, Modeling and Simulation of Spatial Extremes Based on Max-Infinitely Divisible and Related Processes (B3 L5 R5209), Peng Zhong, Ph.D. Student, Statistics	PhD Dissertation Defense
	Nov 8, 12:00 - 13:00, Modeling water waves: from tsunamis to the kitchen sink (B9 L2 R2322), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	Statistical Modelling, Tsunamis, water waves, Graduate Seminar
	Oct 10, 12:00 - 13:00, Modeling, studying, and forecasting the circulation and Climate of the Red Sea (B9 L2 H1 R2322), Ibrahim Hoteit, Professor, Earth Science and Engineering	Graduate Seminar
	Dec 3, 12:00 - 13:00, Modelling and Simulation of Biological Systems - 2020-12-03 (KAUST), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Feb 17, 12:00 - 13:00, Modelling and Simulation of Biological Systems - 2022-02-17 (B9 L2 H2), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Dec 6, 12:00 - 13:00, Modelling and Simulation of Biological Systems - 2022-12-06 (B9 L2 R2322), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Biological systems, Graduate Seminar
	Nov 12, 12:30 - 14:30, Models and Inference for Non-Gaussian Random Vectors and Fields (B5 L5 R5209), Sagnik Mondal, Ph.D. Student, Statistics	PhD Dissertation Defense
	Oct 17, 12:00 - 13:00, Monte Carlo Computation (B9 L2 H1 R2322)	Graduate Seminar
	Dec 7, 12:00 - 13:00, Multilevel Monte Carlo for a class of Partially Observed Processes in Neuroscience (B9 L2 H2)	Graduate Seminar
	Nov 7, 11:00 - 13:00, Multivariate Functional Data Analysis and Visualization (B3 L5 R5220), Zhuo Qu, Ph.D. Student, Statistics	functional data analysis, multivariate functional data, statistics, PhD Dissertation Defense
	May 9, 15:00 - 16:00, New Graphical Displays for Classification (B9 L2 H2), Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium	Lecture
	Apr 26, 16:30 - 17:30, Non-Gaussian geostatistical models using nearest neighbors processes (B2 B3 A0215), Prof. Bruno Sanso, Department of Statistics, University of California	Seminar
	May 26, 14:00 - 15:00, Non-Orthogonal Multiple Access for 5G and Beyond (B1 L2 R2202), Prof. Daniel Costa , Federal University of Ceará	5th generation cellular, Federal University of Ceará, Seminar
	Feb 25, 12:00 - 13:00, On Adversarial Network Attacks, Robustness, and Certification (KAUST), Bernard Ghanem, Professor, Electrical and Computer Engineering	Graduate Seminar
	Mar 18, 12:00 - 13:00, On Discovering Nature’s Equations from Observations (KAUST), Jesper Tegner, Professor, BESE Division, KAUST	Graduate Seminar
	Apr 24, 15:00 - 16:00, On Distribution-Free Risk Control (B9 L4 R4225), Michael Jordan, Professor Emeritus, University of California, Berkeley	Lecture
	Mar 15, 15:00 - 16:00, On Inference About the Smoothness Parameter in Gaussian Matern Random Fields (B1 L4 R4102), Prof. Victor DeOliveira, Professor in Department of Management Science and Statistics in the Carlos Alvarez College of Business	Seminar
	Nov 7, 12:00 - 13:00, On mean-field game price models (B9 L2 H1 R2322), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	linear-quadratic problem, mean-field games, modeling, optimal transport with constraints, price formation, supply and demand balance, Graduate Seminar
	Apr 30, 12:00 - 13:00, On Optimal Regularization in Estimation, Detection, and Classification (KAUST), Tareq Al-Naffouri, Professor, Electrical and Computer Engineering	computational Complexity, Convex Gaussian Min-max theorem, linear systems, Graduate Seminar
	Jan 25, 12:00 - 13:00, On space-time models: models and applications (B9 L2 H2 H2), Elias Teixeira Krainski, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Oct 29, 12:00 - 13:00, On the approximation of the spectrum of differential operators (KAUST), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Nov 19, 12:00 - 13:00, On Unbiased Estimation of the Score Function for a Class of Partially Observed Diffusions (KAUST)	Graduate Seminar
	Nov 12, 15:00 - 16:00, Optimal Singular Value Thresholding in Correlated Noise (B19 Auditorium), Prof. David L. Donoho, Department of Statistics, Stanford University	Lecture
	Nov 12, 12:00 - 13:00, Optimization applied to energy systems, autonomous vehicles, and matching (KAUST), Ricardo Manuel Pinto de Lima, Research Scientist, Applied Mathematics and Computational Sciences	Graduate Seminar
	Oct 13, 15:30 - 16:30, Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation (KAUST), Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London	parameter estimation, stochastic, stochastic differential equations, Seminar
	Dec 2, 12:00 - 13:00, Particle filter in high dimensions (KAUST)	Graduate Seminar
	Apr 7, 12:00 - 13:00, Phasewise-Conservative and Bound-Preserving Algorithms for Two-Phase Flow in Porous Media (B9 L2 H2), Shuyu Sun, Professor, Earth Science and Engineering	Graduate Seminar
	Jul 1, 11:00 - 12:00, Physical Layer Security of Wireless-powered NOMA-based Cognitive Radio Networks: Fundamentals & Challenges (B1 L2 R2202), Dr. Faissal El Bouanani, Chair of CommNet and ACOSIS conferences	5G and beyond, Cognitive radio network, IoT, Seminar
	Feb 8, 17:00 - 18:00, Point processes and their application to modeling drug seizure and overdose interactions (KAUST), Prof. George Mohler, Computer Science, Boston College	point processes, stochastic models, Seminar
	Sep 21, 12:00 - 13:00, Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data (B9 L2 H2), Iris Ivy Gauran, Postdoctoral Research Fellow, Biostatistics Group	Graduate Seminar
	Feb 26, 09:00 - 10:00, Principled Scaling of Deep Neural Networks (B9 L4 R4225), Soufiane Hayou, Postdoc, Simons Institute, UC Berkeley	Neural Networks, Seminar
	Mar 11, 12:00 - 13:00, Programming curvature into flat sheets (KAUST),	Graduate Seminar
	Feb 11, 12:00 - 13:00, Proper scoring rules and model selection for stochastic processes (KAUST), David Bolin, Associate Professor, Statistics	Graduate Seminar
	Mar 31, 12:00 - 13:00, ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! (B9 L2 H2), Peter Richtarik, Professor, Computer Science	Graduate Seminar
	Jul 9, 14:00 - 15:00, Publishing Advanced Materials Science – How to maximize your success! (B3 L5 R5209), Dr. Jos Lenders, Deputy Editor, Advanced Materials, Wiley	advanced materials, materials science, wiley, Seminar
	Feb 29, 12:00 - 13:00, Quadratic Forms in Gaussian Random Variables: A Survey of Theoretical Results and Applications (B9 L2 H2 H2), Mohanad Ahmed, Research Specialist, Information Science Lab	Graduate Seminar
	Oct 7, 12:00 - 13:00, Quantifying Uncertainty with a Derivative Tracking SDE Model and Application to Wind Power Forecast Data (KAUST), Raul Tempone, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Nov 9, 16:00 - 18:00, Quantile Function Modeling and Analysis for Multivariate Functional Data (KAUST), Gaurav Agarwal, Ph.D., Statistics	PhD Dissertation Defense
	Apr 16, 12:00 - 13:00, Quantitative understanding of transcription factor regulation at network- and molecular-levels through optimization and deep learning (KAUST), Xin Gao, Program Chair, Computer Science	Deep learning, optimization, transcription factor, Graduate Seminar
	Sep 29, 13:00 - 14:00, Randomized multilevel Monte Carlo for inference (KAUST), Kody J.H. Law, Professor, Applied Mathematics in the Department of Mathematics, University of Manchester and Manchester Institut	Seminar
	Apr 28, 16:30 - 17:30, Recent approaches for flexible and efficient analysis of non-stationary time series (B2 B3 A0215), Prof. Raquel Prado, Department of Statistics, University of California	Seminar
	Oct 28, 12:00 - 13:00, Recent progress on symbolic computation for PDE and their numerical schemes (KAUST), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	Graduate Seminar
	Mar 24, 12:00 - 13:00, Regression models for count and proportion data (B9 L2 H2), Alexandre de Bustamante Simas , Research Scientist, Statistics	Graduate Seminar
	Apr 19, 16:00 - 18:00, Regularized Regression for Survival Data: Methods and Applications (B1 L4 R4102), Yi Li, Professor, Biostatistics, University of Michigan	Lecture
	Nov 4, 16:00 - 17:00, Reproducibility in Computer Science - Part 1 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	Nov 5, 16:00 - 17:00, Reproducibility in Computer Science - Part 2 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	Nov 6, 16:00 - 17:00, Reproducibility in Computer Science - Part 3 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	May 6, 12:00 - 13:00, Scalable Solvers: Universals and Innovations (KAUST), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	Graduate Seminar
	Nov 28, 08:30 - 09:30, Semiparametric Regression Models for Between and Within-subject Attributes: Applications to High-Dimensional Data, Asymptotic Efficiency and Beyond (KAUST), Jinyuan Liu, PhD Student, Biostatistics, University of California, USA	Seminar
	Sep 1, 13:00 - 14:00, Sequential Monte Carlo Algorithms for Agent-Based Models of Disease Transmission (KAUST), Jeremy Heng, Applied Mathematics and Computational Sciences (AMCS), ESSEC Business School, Singapore	Seminar
	Mar 5, 12:00 - 13:00, Simulation of Neuronal Signal Processing - 2020-03-05 (B9 L2 R2322), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Neuronal ensembles, neuroscience, Stochastiic Variability, Graduate Seminar
	Sep 13, 12:00 - 13:00, Solvers for Coupled Problems in Porous Media Science (B9 L2 R2322), Arne Naegel	applied statistics, Graduate Seminar
	Apr 11, 12:00 - 13:00, Space-time conservation element and solution element (CESE) method for computational fluid dynamics (B9 L2 H1), Hua Shen	computational fluid dynamics, CFD, Graduate Seminar
	Oct 12, 12:00 - 13:00, Space–Time Multiscale Modeling and Numerics of Sorption Kinetics (B9 L2 H2), Clarissa Astuto, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	Graduate Seminar
	Nov 2, 11:45 - 14:30, Spatial and Spatio-temporal Statistical Methods for Environment and Public Health Applications (B9 L4 R4225), Andre Victor Ribeiro Amaral , Ph.D. Student, Statistics	PhD Dissertation Defense
	Sep 11, 16:00 - 17:00, Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment (B3 L5 R5220), Daniela Cisneros, Ph.D. Student, Statistics	Applied Machine Learning, extreme statistics, geospatial statistics, PhD Dissertation Defense
	Oct 26, 12:00 - 13:00, Spatio-temporal Bayesian analysis of excess mortality in 5 European countries in 2020 (B9 L2 H2), Prof. Virgilio Gómez-Rubio, Department of Mathematics, Universidad de Castilla-La Mancha, Spain	Graduate Seminar
	Nov 5, 17:15 - 18:15, Spatio-Temporal Data Analysis by Transformed Gaussian Processes (B2 L5 R5220), Yuan Yan, PhD Student of Prof. Marc Genton, KAUST	spatio-temporal data analysis, statistics, PhD Dissertation Defense
	Nov 2, 16:00 - 18:00, Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes (KAUST), Yuxiao Li, Ph.D., Statistics	PhD Dissertation Defense
	Oct 26, 15:00 - 17:00, Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia (KAUST), Wanfang Chen, Ph.D., Statistics	PhD Dissertation Defense
	Apr 25, 17:45 - 19:00, Spatio-Temporal Statistical Models Using Integro-Differential Equations (B1 L4 R4102), Prof. Bruno Sanso, Department of Statistics, University of California	Lecture