Event Content

Content Type

First Letter

(1) | 2 (2) | 5 (1) | A (21) | B (12) | C (18) | D (20) | E (26) | F (16) | G (9) | H (6) | I (6) | J (4) | K (2) | L (8) | M (18) | N (5) | O (13) | P (11) | Q (4) | R (11) | S (30) | T (20) | U (2) | V (3) | W (8)

	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 Science	Graduate Seminar
	Nov 9, 16:00 - 18:00, Quantile Function Modeling and Analysis for Multivariate Functional Data (KAUST), Gaurav Agarwal, Ph.D., Statistics	Ph.D. 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, Graduate Seminar, optimization, transcription factor
	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
	Feb 13, 12:00 - 13:00, Recent Advances in Infinity Laplacian Equations (B9, L2, R2325), Aelson Sobral, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	Graduate 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, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Mar 24, 12:00 - 13:00, Regression models for count and proportion data (B9 L2 H2), Alexandre de Bustamante Simas , Senior 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 1, 12:00 - 13:00, Retraction Maps, Feedback Linearization and Nonholonomic Integrators (B9 L2 R2325), Ravi Banavar, Professor, Systems and Control Engineering, IIT Bombay	Graduate Seminar
	Feb 27, 12:00 - 13:00, Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity (B9, L2, R2325), Arto Maranjyan, Ph.D. Student, Computer Science	Graduate Seminar
	May 6, 12:00 - 13:00, Scalable Solvers: Universals and Innovations (KAUST), David Keyes, Professor, Applied Mathematics and Computational Science	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 (former), Applied Mathematics and Computational Science	Graduate Seminar, Neuronal ensembles, neuroscience, Stochastiic Variability
	Jan 30, 12:00 - 13:00, Singular Points of Solutions of Hamilton-Jacobi Equations (B9, L2, R2325), Melih Ucer, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	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, Graduate Seminar, CFD
	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 Science	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	Ph.D. 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, Ph.D. 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	Ph.D. Dissertation Defense, spatio-temporal data analysis, statistics
	Nov 2, 16:00 - 18:00, Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes (KAUST), Yuxiao Li, Ph.D., Statistics	Ph.D. 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	Ph.D. 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
	Nov 26, 15:00 - 16:30, Spatio-Temporal Statistics in Geo-Environmental Data Science (B9, L2, R2322), Ying Sun, Professor, Statistics	Public Colloquium, spatio-temporal statistics
	Nov 18, 16:00 - 17:00, Start your Research Journey at KAUST - Master and Ph.D. degrees in Applied Mathematics, Computer Science, Electrical Engineering and Statistics (KAUST), Aigars Ekers, Dean, University of Latvia, Faculty of Science and Technology	Event
	Jun 1, 16:00 - 18:00, Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data (KAUST), Soumya Das, Ph.D. Student, Statistics	Ph.D. Dissertation Defense
	Nov 28, 12:00 - 13:00, Statistical Analysis of Multi-day Solar Irradiance using a Threshold Time Series model (B9 H2 R2325), Carolina D. Euan Campos, Postdoctoral Research Fellow, Statistics	forecasting, Graduate Seminar, nonlinearity, solar energy, solar irradiance analysis, statistical analysis, TAR model
	May 2, 11:00 - 12:00, Statistical Analysis of Topological Patterns in Dependence Networks of Brain Time Series Data (B1 L4 R4102), Anass B. El-Yaagoubi, Postdoctoral Research Fellow, Statistics	Ph.D. Dissertation Defense
	May 2, 12:00 - 13:00, Statistical Deep-Learning for Spatiotemporal Extremes (B9 L2 H2 H2), Raphaël Huser, Associate Professor, Statistics	Graduate Seminar
	Dec 7, 12:00 - 13:00, Statistical Learning: Causal-oriented and Robust (B9 L2 H2), Professor Peter Bühlmann, Statistics and Mathematics, ETH Zürich	Lecture
	Oct 14, 12:00 - 13:00, Statistical methods to evaluate the effectiveness of cancer treatments in clinical trials (KAUST), Denis Rustand, Postdoctoral Research Fellow (former), Statistics	Graduate Seminar
	Mar 23, 14:00 - 15:30, Statistical Models and Methods Based on Stochastic Partial Differential Equations (B9 L2 R2322, Zoom Meeting ID 93209452060), David Bolin, Professor, Statistics	Metric graphs, non-Gaussian random fields, Public Colloquium, SPDEs, statistical analysis
	Nov 14, 12:00 - 13:00, Statistical models based on stochastic partial differential equations (B9 L2 H1 R2322), Prof. David Bolin, Statistics, KAUST	Graduate Seminar, SPDEs, statistics
	Feb 20, 12:00 - 13:00, Statistical models for long-range dependent climate data (B9 L2 R2322), Sigrunn Sorbye, Associate Professor, UiT The Arctic University of Norway	climate data, Graduate Seminar, statistical models
	Feb 7, 16:00 - 17:00, Statistical models for studying biodiversity: challenges and contributions (KAUST), Antik Chakraborty, Postdoc, Department of Statistical Science, Duke University	biodiversity, Seminar
	Sep 26, 12:00 - 13:00, Statistics of Extremes (B9 L2 H1 R2322), Raphaël Huser, Associate Professor, Statistics	extreme environmental events, Graduate Seminar, probabilities, risks, Spatial extremes, univariate extremes
	Jun 4, 10:00 - 11:00, Stochastic environmental modeling in a time of convergence: physics meets artificial intelligence (B1 L4 R4102), Prof. Stefano Castruccio, Associate professor, University of Notre Dame, USA	Seminar
	May 1, 12:00 - 13:00, Sub-dimensional Mardia measures of multivariate skewness and kurtosis (B9 L3 R3128), Joydeep Chowdhury, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Mar 6, 12:00 - 13:00, The Ball-Proximal (=“Broximal”) Point Method: a New Algorithm, Convergence Theory, and Applications (B9, L2, R2325), Kaja Gruntkowska, PhD student, Statistics, KAUST	Graduate Seminar
	Mar 25, 12:00 - 13:00, The Convex Gaussian Min-Max Theorem: A Powerful Tool for the Analysis of Regularized Convex Optimization Problems (KAUST), Tareq Al-Naffouri, Professor, Electrical and Computer Engineering	Graduate Seminar
	Apr 10, 12:00 - 13:00, The Earliest Arrival of Quantum Advantage (B9 L2 R2325), David Keyes, Professor, Applied Mathematics and Computational Science	Graduate Seminar, quantum computing, quantum processing unit, supercomputers
	Oct 31, 09:00 - Nov 3, 17:00, The KAUST 2022 Workshop on Statistics (B2 B3 A0215)	big data, complex data, data science, modeling, statistics, Workshop
	Nov 6, 09:00 - Nov 9, 17:00, The KAUST 2023 Workshop on Statistics (B18 R4203)	big data, data science, environment, health, modeling, statistics, sustainability, Workshop
	Nov 18, 09:00 - Nov 21, 17:00, The KAUST 2024 Workshop on Statistics (Auditorium between Building 4 - 5)	Workshop
	Nov 2, 09:00 - Nov 6, 17:00, The KAUST 2025 Workshop on Statistics (Between Building 2 / 3, Level 0, Auditorium 0215)	Workshop
	Mar 17, 12:00 - 13:00, The Maxwell-Stefan system for multi-component diffusion (B9 L2 H2), Athanasios Tzavaras, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Nov 8, 15:00 - 16:00, The role of skewed distributions in Bayesian inference: conjugacy, scalable approximations and asymptotics (B1 L4 R4102), Daniele Durante, Assistant Professor of Statistics at the Department of Decision Sciences, Bocconi University, Italy	bayesian inference, Seminar
	Apr 29, 12:00 - 13:00, The Role of Volcanic Activity in Climate and Global Change (KAUST), Georgiy L. Stenchikov, Professor, Earth Science and Engineering	Graduate Seminar
	May 15, 12:00 - 13:00, The Signed Translation Transformed Depth: Order, Quantiles, Spread, Skewness, and Quantile Regression for Multivariate Functional Data (B9 L2 R2325), Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics	Graduate Seminar, multivariate analysis
	May 14, 16:00 - 17:00, The strength of multidisciplinary research: the joint example of statistics and geoscience (B1 L4 R4102), Dr. Luigi Lombardo, University of Twente, Netherlands	Seminar, spatial statistics, University of Twente
	Sep 3, 12:00 - 13:00, The two faces of correlation (KAUST), Haavard Rue, Program Chair, Statistics	computing, Graduate Seminar, Statistical Modeling
	Jan 30, 14:00 - 15:00, Think globally, act locally: from domain decomposition to nonlinear model order reduction (KAUST Auditorium R2030), Prof. Charbel Farhat	Graduate Seminar
	Apr 27, 16:00 - 17:30, Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3 (B1 L4 R4102), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Apr 16, 16:30 - 17:00, Towards Self-explainable Deep Learning Models (B1 L4 R 4102), Prof. Michael Kampffmeyer, UiT The Arctic University of Norway	Seminar
	Mar 21, 12:00 - 13:00, Tracking rare events within the ensemble Kalman filtering (B9 L2 H2 H2), Gaukhar Shaimerdenova, Ph.D. Student, Applied Mathematics and Computational Science	Graduate Seminar
	Nov 30, 16:30 - 17:30, Transparent and Robust Causal Inference in Data Science (KAUST), Carlos Cinelli, Ph.D. candidate, Department of Statistics, UCLA	data science, Seminar, statistical inference
	Apr 18, 12:00 - 13:00, Traveling wave solutions of Reaction-Diffusion equation in Biological mathematics (B9 L2 H2 H2), Hoyoun Kim, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	Graduate Seminar
	Mar 14, 16:00 - 17:00, Truth, Knowledge, P-Values, Bayes, & Inductive Inference (B1 L4 R4102), Edsel A. Peña, iProfessor in the Department of Statistics, University of South Carolina	Bayesian computational statistics, Graduate Seminar, inductive inference, statistics
	Sep 8, 15:00 - 16:00, Uncertainty Quantification of Tsunami Models (B1), Serge Guillas, Professor of Statistics, University College London (UCL)	Environmental Statistics, Seminar, uncertainty quantification
	Oct 30, 12:00 - 13:00, Unlocking Euclidean Problems with Isotropic Initialization (B9 L2 R2325), Mikhail Skopenkov, Research Scientist, Computer Science	Graduate Seminar
	May 8, 12:00 - 13:00, Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation (B9 L2 R2325), Qilong Pan, Ph.D. Student, Statistics	Geospatial Data, GPU Computing, Graduate Seminar, machine learning
	Nov 12, 09:00 - 11:00, Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation (B5 L5 R5209), Qilong Pan, Ph.D. Student, Statistics	GPU Computing, HPC, Ph.D. Dissertation Defense, spatio-temporal statistics, statistics
	May 22, 14:00 - 16:00, Visualization, Characterization, and Forecasting of Multivariate and Functional Time Series (B4 L5 R5220), Cristian Felipe Jiménez Varón, Ph.D. Student, Statistics	Ph.D. Dissertation Defense
	Apr 1, 12:00 - 13:00, Waves Functional Materials - 2021-04-01 (KAUST), Ying Wu, Program Chair, Applied Mathematics and Computational Science	Graduate Seminar
	Sep 20, 12:00 - 13:00, Waves Functional Materials: From theory to applications (B9 L2 R2322), Gabriel Wittum, Professor (former), Applied Mathematics and Computational Science	Applications, Graduate Seminar, Wave functional materials, waves
	Sep 12, 12:00 - 13:00, Waves in Complex Media: Theories and Applications (B9 L2 H1), Ying Wu, Program Chair, Applied Mathematics and Computational Science	Graduate Seminar
	Oct 19, 16:00 - 17:00, We used Reinforcement Learning; but did it work? (B9 L2 H2), Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University	Digital Behavioral Health, Reinforcement Learning, Seminar
	May 22, 12:00 - May 28, 12:00, Welcome at Kaust UQ School On Numerical Methods For Direct And Inverse Problems 2016 22-28 May (B9 H1 R2322), Raul Tempone, Professor, Applied Mathematics and Computational Science	Conference, numerical methods, statistics, stochastic differential equations
	Dec 4, 12:00 - 13:00, Will AI Replace Professors? (B2/B3 L0 A0215), Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor, Computer Science and Engineering, University of California, San Diego	Dean's Distinguished Lecture
	Oct 4, 09:45 - Oct 6, 10:45, Workshop on Computational Space-Time Statistics (B1 L4 R4102)	Environmental Statistics, Statistics of extremes, Workshop
	Mar 13, 09:00 - Mar 15, 15:00, Workshop on Statistical Process Monitoring and Risk Assessment for Engineering and Spatial Environmental Applications (B1 L4 R4102)	Environmental Statistics, spatial statistics, Workshop