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	Clustering helps unlock secrets of the human brain (News)	brain science, environmental science, statistics, News
	Mar 10, 15:00 - 16:00, Collective Estimation of Multiple Bivariate Density Functions with Application to Angular-sampling-based Protein Structure Prediction (B1), Mehdi Moodaaliat, Assistant Professor, Marquette University	statistics, Seminar
	Feb 24, 12:00 - 13:00, Combined analysis of spatially misaligned data using Gaussian fields and the stochastic partial differential equation approach (B9 L2 H2)	Graduate Seminar
	Nov 11, 12:00 - 13:00, Compatibility conditions for finite element approximations (KAUST), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Competition sheds light on approximation methods for large spatial datasets (News)	big data, extreme statistics, modeling, statistics, News
	Apr 6, 16:00 - 18:00, Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes (KAUST), Jian Cao, Ph.D., Statistics	Ph.D. Dissertation Defense
	Mar 19, 08:00 - Mar 21, 17:00, Computational and Statistical Interface to Big Data (B9 L2 H2), Xin Gao, Professor, Computer Science	Conference
	Jun 13, 09:00 - 10:00, Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking (B1 L4 R4102)	computational statistics, Environmental Statistics, Ph.D. Dissertation Defense
	Computer models combat malaria (News)	bioscience, drug discovery, human health, News
	Computer vision: Teaching computers how to see the world (News)	artificial intelligence, semantic analysis, UAV, News
	Computers excel in chemistry class (News)	combustion, Computer science, machine learning, News
	Computing solutions for biological problems (News)	bioinformatics, computational models, machine learning, News
	Feb 12, 16:00 - 17:30, Conditional Kernel Density Estimation For Dependent Data, Mean Shift Algorithm and Predictive Regions in Human Health (B1 L4 R4102), Prof. Mohamed El Machkouri, Associate professor, Applied Mathematics, University of Rouen Normandy	nonparametric estimation, Seminar
	Apr 26, 14:00 - 15:30, Conditionally Gaussian dynamic models, non-linear models and multi-process models for univariate time series - Lecture 2 (B1 L4 R3119), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Conference on Advances in Uncertainty Quantification Methods, Algorithm and Applications (#UQAW2016) (News)	numerical methods, statistics, stochastic differential equations, News
	Connecting the dots to unlock brain structure (News)	brain science, neuroscience, statistics, News
	Connecting the Unconnected at the KAUST 6G Summit (News)	6G, communication technology, Wireless Communications, News
	Oct 1, 12:00 - 13:00, Consensus formation models with delay (KAUST), Jan Haskovec, AMCS, KAUST	Graduate Seminar, Models Formation
	Feb 27, 12:00 - 13:00, Controlling acoustic wave propagation via rotational motion (B9 L2 H2 H2), Ying Wu, Program Chair, Applied Mathematics and Computational Science	acoustic waves, Graduate Seminar
	Coral reef fish: not such a family affair (News)	coral reef fish, marine science, News
	Counting the seeds of success (News Clip, News)	News Clip, News
	Mar 7, 15:00 - 17:00, Coupled Sampling Methods for Filtering (KAUST), Fangyuan Yu, Ph.D. Student, Statistics	computational statistics, Markov models, Monte carlo methods, Ph.D. Dissertation Defense
	Cristian Chiuchiolo, Ph.D. Student, Electrical and Computer Engineering	Bayesian computational statistics, statistics
	Cristian Felipe Jiménez Varón, Ph.D. Student, Statistics	Environmental Statistics, forecasting, functional data analysis, Functional Time Series, Quantile spectral methods, Statistical Modeling
	May 28, 15:00 - 16:00, Criticism and robustification of latent Gaussian models (B1 L4 R4102), Rafael Medeiros Cabral, Ph.D. Student, Statistics	latent Gaussian models, Ph.D. Dissertation Defense
	Cross-disciplinary collaboration results in groundbreaking earthquake research (News)	earthquake source modelling, uncertainty quantification, News
	May 6, 13:00 - 17:00, Current and Future Challenges and Solutions in AI & HPC System and Thermal Management (B4 L5 R5209), 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	Course
	Current Students	Study, Info
	Dalal E. Aldossary, M.S. Student, Computer Science	Computational Neuroscience, Computer Vision, Electroencephalograms, machine learning
	Damilya Saduakhas, Ph.D. Student, Statistics	environmental applications, geospatial statistics, multivariate spatial processes
	Dan Leonte, Postdoctoral Research Fellow, Statistics	ambit fields, neural inference methods, simulation-based inference, Spatial and spatio-temporal statistics
	Daniel Osorio Barreto, Ph.D. Student, Statistics	behavioral economics, Biostatistics, macroeconomics
	Daniela Castro-Camilo, Postdoctoral Research Fellow, Statistics	computational statistics, Environmental Statistics, INLA, spatial statistics, Statistical Modeling, Statistics of extremes
	Daniela Cisneros, Ph.D. Student, Statistics	spatio-temporal statistics, Statistics of extremes
	Daria Sushnikova, Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering
	May 6, 12:00 - 13:00, Data Centric Engineering: Hype or Transformation and Engineering the Future? (B 2/3 L0 R 0215), Mark Girolami, Sir Kirby Laing Professor of Civil Engineering University of Cambridge, United Kingdom	Distinguished Lecture
	Feb 12, 12:00 - 13:00, Data-driven Anomaly Detection in Industrial Processes (B9 L2 R2325), Fouzi Harrou, Senior Research Scientist, Statistics	AI, anomaly detection, artificial intelligence, Graduate Seminar, multivariate statistics
	Dataset size counts for better predictions (News)	data, statistics, News
	David Bolin, Professor, Statistics	computational statistics, mathematical statistics, random fields, stochastic partial differential equations, stochastic processes
	David De Jesus, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	data analysis, NumPy, PDEs, probability theory, Python, stochastic processes, TensorFlow
	Mar 13, 12:00 - 13:00, Decision Trees for Fault Diagnosis in Circuits and Switching Networks - 2023-03-13 (B9 L3 R3128), Mikhail Moshkov, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Sep 28, 12:00 - 13:00, Decision Trees for Fault Diagnosis in Circuits and Switching Networks - 2023-09-28 (B9 L2 H2), Mikhail Moshkov, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Dec 7, 15:30 - 16:30, Deconfounding (B9 L2 H2), Professor Peter Bühlmann, Statistics and Mathematics, ETH Zürich	Seminar
	Decrypting the interdependence of cryptocurrencies (News)	big data, modeling, statistics, News
	Sep 27, 12:00 - 13:00, Deep Learning and Scientific Computing (B9 L2 R2322), Jinchao Xu, Professor, Applied Mathematics and Computational Science	Deep learning, Graduate Seminar, scientific computing
	Deep learning in the emergency department (News)	artificial intelligence, human health, machine learning, statistics, News
	May 29, 09:00 - 11:30, Deep Neural Networks for Large-scale Complex Spatial and Spatio-temporal Processes (B4 L5 R5220), Pratik Nag , Ph.D. Student, Statistics	Ph.D. Dissertation Defense
	Deep neural networks that “get” spatial dependence (News)	News
	Deeper defense against cyber attacks (News)	cybersecurity, Deep learning, machine learning, statistics, News
	Nov 12, 12:00 - 13:00, Deepnet Spectra and the Two Cultures of Data Science (B9 L2 H2 R2325), Prof. David L. Donoho, Department of Statistics, Stanford University	Lecture
	Defan Sun, Postdoctoral Research Fellow, Electrical and Computer Engineering	mode-locked lasers, Optical Frequency Comb, photonic integrated circuits, Silicon-based Heterogeneous Integration
	Denis Rustand, Postdoctoral Research Fellow (former), Statistics	Bayesian computational statistics, Survival analysis
	Feb 8, 12:00 - 13:10, Dependence and Causality in Functional Brain Networks (B9 L2 H2 H2), Hernando Ombao, Professor, Statistics	Graduate Seminar
	Feb 20, 12:00 - 13:00, Derivative-Free Methods in Nonconvex Optimization with and Without Noise (B9, L2, R2325), Boris Mordukhovich, Distinguished University Professor, Wayne State University	Graduate Seminar
	Apr 27, 15:00 - 16:30, Design and Analysis of Prevalence Surveys for Neglected Tropical Diseases (KAUST), Prof. Peter Diggle, Statistics in the faculty of Health and Medicine, Lancaster University	Design and analysis of surveys, Lecture
	May 9, 12:00 - 13:00, Detecting Cellwise Outliers in Your Data (B9 L2 H2), Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium	Lecture
	Detecting semi active intra networks components (Research), Sat, Jul 30 2022	Research
	Sep 16, 12:00 - 13:00, Developing Aramco’s Next Generation Operational Systems for the Red Sea and the Arabian Gulf (KAUST), Ibrahim Hoteit, Professor, Earth Science and Engineering	Graduate Seminar
	Di Wang, Assistant Professor, Computer Science	data mining, machine learning, privacy, security
	Diagnosing the impacts of health policy (News)	earth science and engineering, nursing, statistics, News
	May 29, 15:30 - 16:30, Differentially private testing of symmetry equivalence hypotheses based on the characteristic function (B1 L4 R4102), Prof. Simos G. Meintanis, University of Athens	Differential privacy, Neighborhood of model validation, Symmetry testing, Seminar
	Dilyara Uvasheva, M.S. Student, Statistics
	Nov 30, 12:00 - 13:00, Discretization and Optimization in Applied Geometry (B9 L2 H2),	Graduate Seminar
	Sep 30, 12:00 - 13:00, Discriminant analysis: Fundamental limits and Optimal designs (KAUST), Abla Kammoun, Senior Research Scientist, Electrical and Computer Engineering	Graduate Seminar
	Nov 9, 15:30 - 16:00, Disease Risk Estimation by Combining Case-Control Data with Aggregated Information on the Population at Risk (B1 L4 R4102), Xiaohui Chang, Assistant Professor, College of Business at Oregon State University	statistics, Seminar
	Distinguished Professor Marc Genton selected as the 2020 Georges Matheron Lecturer of the IAMG (Spotlight, News)	IAMG, Spotlight, News
	Oct 18, 12:00 - 13:00, Distributed multi-GPU Algorithms for Hierarchical Matrices (B9 L2 R2322), George Turkiyyah, Research Professor, Applied Mathematics and Computational Science	GPU Algorithms, Graduate Seminar, hierarchical matrices
	Apr 22, 12:00 - 13:00, Distributed second order methods with fast rates and compressed communication (KAUST), Peter Richtarik, Professor, Computer Science	Graduate Seminar
	Djidenou Montcho, Ph.D. Student, Statistics	Bayesian computational statistics, machine learning
	Dongyang Li, Ph.D. Student, Statistics
	Dr. Harrou receives two IEEE ECBIOS 2021 best paper awards (News)	Deep learning, renewable energy systems, News
	Dr. Sebastian Engelke (EPFL) visits extSTAT (Spotlight, News)	extreme-value theory, Spatial extremes, Spotlight, News
	Drishya Karki, Intern	Computer Vision, Graph Learning, Multi-Modal Learning, representation learning, Temporal Activity Localization
	Jan 30, 12:00 - 13:00, Driving Innovation by Simulation (B9 L3 R3128), Dr. Emad Dlala, Vice President Powertrain, Lucid Motors Co.	aerodynamic simulations, Driving, Graduate Seminar, innovation
	Drones deliver on internet connectivity (News)	communications, electrical engineering, IoT, News
	Apr 25, 16:00 - 17:30, Dynamic linear models: Theory, computation and case studies - Lecture 1 (B1 L4 R4102), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Echo Ziyi Yang, Ph.D. Student	Autonomous Agent, machine learning, Reinforcement Learning
	Eddy currents affect flux of salt more than heat (News)	earth science and engineering, marine science, ocean circulation, Red Sea, News
	Nov 10, 12:00 - 13:00, EE 398 Graduate Seminar (B9 L2 H1 R2322), Tareq Al-Naffouri, Professor, Electrical and Computer Engineering	Graduate Seminar
	EE students, postdocs shine in WEP poster competition (News, Spotlight)	WEP Poster Competition, Spotlight, News
	Feb 4, 12:00 - 13:00, Effective Literature Search (KAUST), Nevena Tomic, Library Subject Specialist, PSE, KAUST	Graduate Seminar
	Oct 22, 12:00 - 13:00, Efficiency Assessment of Approximated Spatial Predictions for Large Datasets (KAUST), Yiping Hong, Postdoctoral Research Fellow, Statistics	applied statistics, Graduate Seminar, mathematics, Social Network Analysis
	Apr 23, 12:00 - 13:00, Efficient and Physics-Preserving Discretization Schemes for Multiphase Flow Problems (KAUST),	Graduate Seminar
	Oct 2, 12:00 - 13:00, Efficient Bayesian Methods for Biostatistics (B9 L2 R2325), Janet van Niekerk, Research Scientist, Statistics	bayesian methods, Graduate Seminar
	Nov 23, 12:00 - 13:00, Efficient Inference for Joint Models of Multivariate Longitudinal and Survival Data Using INLAjoint (B9 L2 H2), Denis Rustand, Postdoctoral Research Fellow (former), Statistics	Graduate Seminar
	Aug 31, 12:00 - 13:00, Efficient Intensity Estimation Using Adaptive Bandwidths on Linear Networks: A Study and Application in Traffic Accident Analysis (B9 L2 H2), Jonatan A. González, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Apr 16, 12:00 - 13:00, Efficient Numerical Methods for Scalable Bayesian Inference (B9 R2325), Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics	Automated and scalable algorithms, Bayesian Inversion, Efficient, Graduate Seminar, numerical methods
	El Mehdi Saad, Postdoctoral Research Fellow, Computer Science
	Elias Teixeira Krainski, Research Scientist, Statistics	Bayesian computational statistics, geospatial statistics, spatio-temporal statistics
	Elsiddig Awadelkarim Elsiddig, Postdoctoral Research Fellow, Statistics	machine learning, MCMC, Particle Methods, Stochastic Control, stochastic partial differential equations
	Eman Kabbas, Ph.D. Student, Applied Mathematics and Computational Science	Applied and theoretical statistics, Bayesian and computational Statistics, Bayesian Data Aalysis, data science, Data Sciences
	Emilie Dauzon, Graduate Program Student Advisor (former), Computer, Electrical and Mathematical Sciences and Engineering
	Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics	functional data analysis, multivariate analysis, nonparametric statistics
	Sep 9, 12:00 - 13:00, Empirical Risk Minimization in the Non-interactive LDP Model (KAUST), Di Wang, Assistant Professor, Computer Science	Graduate Seminar
	Jan 25, 14:00 - 15:00, Empowering Natural Intelligence with Artificial Intelligence: a Mathematician's Perspective (B9, L2, R2322), Alfio Quarteroni, Emeritus Professor, Politecnico di Milano and EPFL	applied mathematics, Computational mathematics, numerical methods, scientific computing, Scientific Machine Learning, Dean's Distinguished Lecture
	Oct 21, 12:00 - 13:00, Enabling Accurate and Efficient Simulation in Visual Computing - Graduate Seminar - AMCS - STAT (KAUST), Dominik L. Michels, Associate Professor, Computer Science	Graduate Seminar
	Enas Alahmadi, M.S. Student, Statistics	Statistics of extremes
	Jan 29, 12:00 - 13:00, Energy-Efficient and Sustainable Spatial Modeling Using GPU Computing (B9 L2 R2325), Sameh Abdulah, Senior Research Scientist, Applied Mathematics and Computational Science	Graduate Seminar, HPC
	Apr 21, 12:00 - 13:00, Enhancing mixing in binary fluids (B9 L2 H2), Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST	Graduate Seminar
	Oct 15, 12:00 - 13:00, Epidemiological modeling and optimal control (KAUST), David Ketcheson, Professor, Applied Mathematics and Computational Science	Graduate Seminar, optimal control, optimal control theory