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2 (1) | 5 (2) | 6 (1) | A (126) | B (21) | C (53) | D (46) | E (59) | F (42) | G (28) | H (41) | I (22) | J (14) | K (52) | L (26) | M (121) | N (42) | O (33) | P (75) | Q (8) | R (45) | S (86) | T (73) | U (11) | V (3) | W (24) | X (7) | Y (15) | Z (6)

	Apr 18, 16:00 - 17:00, CT-based COVID-19 Diagnosis and Prognosis through Novel AI Model Development (B2 L5 R5220), Xin Gao, Program Chair, Computer Science	COVID-19, CT-based, Diagnosis, model development, novel methodology, Prognosis, Public Colloquium
	Current Students	Study, Info
	Cutting datasets down to size (News)	applied mathematics, computational science, environment, statistics, News
	Cyclones meet their mathematical match (News Clip, News)	News Clip, News
	Dalal Alsharif, Visiting Student, Waves in Complex Media
	Dalal Sukkari, Ph.D., Applied Mathematics and Computational Sciences	dense linear algebra, High Performance Computing, polar decomposition, svd, symmetric eigenvalue problem
	Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	eigenvalue approximation, Finite elements, fluid dynamics, mixed finite elements, numerical PDEs
	Daria Bolbot, Ph.D. Student, Applied Mathematics and Computational Sciences	Applied Partial Differential Equations, Dispersive-diffusive systems, Dynamical Systems, Nonlinear Elasticity
	Database to support infectious disease research (News)	artificial intelligence, Computer science, human health, machine learning, News
	Dataset size counts for better predictions (News)	data, statistics, News
	David Bolin, Associate Professor, Statistics	computational statistics, spatio-temporal statistics, stochastic differential equations
	David Evangelista, Ph.D. Student, Applied Mathematics and Computational Sciences	game theory, market microstructure, mean-field games, optimal control theory, optimal execution, Partial Differential Equations, price formation
	David Ketcheson, Professor, Applied Mathematics and Computational Sciences	dispersive waves, heterogenouse media, nonlinear waves, numerical analysis, numerical methods, optimization, PDE, software development
	David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	computational science and engineering, High Performance Computing, machine learning, numerical analysis, parellel computing, Partial Differential Equations, quantum computing, scalable solvers, software development, spatial statistics
	Decision Trees for Fault Diagnosis in Circuits and Switching Networks (News)	News
	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 Sciences	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 Sciences	Graduate Seminar
	Decision Trees with Hypotheses (News)	News
	Decrypting the interdependence of cryptocurrencies (News)	big data, modeling, statistics, News
	Nov 19, 16:00 - 17:00, Deep Adaptive Sampling for Numerical PDEs (B1, L3, R3119), Prof. Tao Zhou, Chinese Academy of Sciences	Mathematics and Applications Colloquium
	Sep 27, 12:00 - 13:00, Deep Learning and Scientific Computing (B9 L2 R2322), Jinchao Xu, Professor, Applied Mathematics and Computational Sciences	Deep learning, scientific computing, Graduate Seminar
	Deep learning in the emergency department (News)	artificial intelligence, human health, machine learning, statistics, News
	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
	Feb 8, 12:00 - 13:10, Dependence and Causality in Functional Brain Networks (B9 L2 H2 H2), Hernando Ombao, Professor, Statistics	Graduate Seminar
	Jan 27, 12:00 - 13:00, Designing a Stable Periodic Orbit for a Triple Pendulum on a Cart (B1 L4 R4214), Prof. Johann Reger, Automation and Systems Engineering, Technische Universität Ilmenau	Seminar
	Detecting semi active intra networks components (Research), Sat, Jul 30 2022	Research
	Feb 25, 14:00 - 15:00, Deterministic particle approximation for nonlinear transport equations (Building L3 R3119), Marco Di Francesco, Associate Professor, Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila (Italy)	nonlinear models, numerical methods, PDE, Seminar
	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
	Sep 26, 16:00 - 17:00, Device accelerated solvers for PDEs. Current status and future perspectives (B5 L5 R5220), Stefano Zampini, Senior Research Scientist, Hierarchical Computations on Manycore Architectures	GPU, PDEs, petsc, Shaheen, supercomputing, Public Colloquium
	Diagnosing the impacts of health policy (News)	earth science and engineering, nursing, statistics, News
	Feb 6, 14:00 - 15:30, Diffusion with Heterogeneous Persistence and Permeability (B2 L5 R5209), Prof. Yong-Jung Kim, KAIST, Korea	Public Colloquium
	Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	Hamilton-Jacobi equations, mean-field games, nonlinear PDEs
	Apr 3, 12:00 - 13:00, Discrete conformal mappings and Riemann Surfaces: Theory and Applications (B9 L2 H2), Prof. Alexander I. Bobenko, Technische Universität Berlin	differential geometry, discrete conformal mappings, mathematics, Lecture
	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
	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 Sciences	GPU Algorithms, hierarchical matrices, Graduate Seminar
	Apr 22, 12:00 - 13:00, Distributed second order methods with fast rates and compressed communication (KAUST), Peter Richtarik, Professor, Computer Science	Graduate Seminar
	Dmitry Lyakhov, Research Scientist, Applied Mathematics and Computational Sciences	Algebraic Algorithms, mathematical modelling, Symbolic Computation, visual computing
	Dominik L. Michels, Associate Professor, Computer Science	algorithmics, machine learning, numerical simulations, scientific computing, visual computing
	Dominik L. Michels appointed Associate Professor of Computer Science and Applied Mathematics (News)	algorithmics, machine learning, numerical simulations, scientific computing, visual computing, News
	Dominik L. Michels receives the first Procter & Gamble Faculty Award (News)	algorithm, machine learning, numerical simulations, scientific computing, visual computing, News
	Dong Lao, Ph.D. Student, Applied Mathematics and Computational Sciences
	Nov 17, 14:00 - 14:40, Double Enriched Finite Volume Spaces for the DNS of fluid-Particle Interaction - Scientific Conference (KAUST), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Conference
	Dr. Alexandra Gomes receives 2020 KAUST Distinguished Teaching Award (Spotlight, News)	Spotlight, News
	Dr. Harrou receives two IEEE ECBIOS 2021 best paper awards (News)	Deep learning, renewable energy systems, News
	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, innovation, Graduate Seminar
	Jan 29, 13:00 - 14:30, Dynamics and Convergence of Weight Normalization for Training Neural Networks (B1 L3 R3119), Guido Montufar, Assistant Professor, Departments of Mathematics and Statistics, University of California, Los Angeles (UCLA)	machine learning, neural network, optimization, ReLUs, Seminar
	ECRC contributions to SIAM CSE21 (News)	computational science and engineering, HPC, research conference, News
	Eddy currents affect flux of salt more than heat (News)	earth science and engineering, marine science, ocean circulation, Red Sea, News
	Eder D. Baron Prada, Ph.D. Student, Electrical and Computer Engineering	Automatic Control Systems, game theory, Multi-agent systems, Optimization about power allocation
	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, mathematics, Social Network Analysis, Graduate Seminar
	Apr 23, 12:00 - 13:00, Efficient and Physics-Preserving Discretization Schemes for Multiphase Flow Problems (KAUST), Shuyu Sun, Professor, Earth Science and Engineering	Graduate Seminar
	Nov 20, 09:00 - 10:00, Efficient and Structure-Preserving Numerical Schemes for Kohn-Sham Gradient Flow Models (B4, L5, R5220), Xiuping Wang, Ph.D. Student, Applied Mathematics and Computational Sciences	PhD Dissertation Defense
	Oct 13, 16:15 - 17:00, Efficient Ensemble Data Assimilation and Forecasting of the Red Sea Circulation (KAUST), Habib Toye Mahamadou Kele, Ph.D. Student, Applied Mathematics and Computational Sciences	PhD Dissertation Defense
	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, 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
	Sep 20, 15:30 - 17:00, Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting (B1 L3 R3119), Daniel Paulin, Assistant Professor, School of Mathematics, University of Edinburgh.	MCMC, Monte Carlo, Public Colloquium
	El Mehdi Saad, Postdoctoral Research Fellow, Computer Science
	Electronics conference gives a positive charge (News)	Electronic devices, piezoelectric nanosystem, News
	Nov 18, 12:00 - 13:00, Eliminating Waiting Time Inequities for Deceased Donor Kidney Transplantation in the USA (B9 L2 H1 R2322), Dr. Joris van de Klundert, Professor of Operations Management, Prince Mohammad Bin Salman College (MBSC) of Business & Entrepreneurship	Equity Maximization, modeling, network flows, organ transplantation, queuing theory, Rawls theory, wait time, Graduate Seminar
	Eliza Rezvanova, Ph.D. Student, Applied Mathematics and Computational Sciences
	Jan 26, 15:00 - 17:00, Elliptic PDEs: Regularity under minimal assumptions - Part 1 (B1 L4 R4102), Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy	Seminar
	Jan 31, 15:00 - 17:00, Elliptic PDEs: Regularity under minimal assumptions - Part 2 (B1 L4 R4214), Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy	Seminar
	Feb 2, 15:00 - 17:00, Elliptic PDEs: Regularity under minimal assumptions - Part 3 (B1 L4 R4102), Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy	Seminar
	Jan 19, 10:00 - 13:00, Elliptic PDEs: Regularity under minimal assumptions - Session 1 (KAUST), Giuseppe Di Fazio, Professor of Mathematics at the University of Catania, Italy	Course
	Jan 21, 10:00 - 13:00, Elliptic PDEs: Regularity under minimal assumptions - Session 2 (KAUST), Giuseppe Di Fazio,Professor of Mathematics at the University of Catania, Italy	Course
	Elnur Gasanov, M.S. Student, Applied Mathematics and Computational Sciences	algorithms, machine learning, optimization
	Elsiddig Awadelkarim Elsiddig, Ph.D. Student, Applied Mathematics and Computational Sciences	Bayesian Statistics, machine learning
	Eman Abdullah Kabbas, Ph.D. Student, Applied Mathematics and Computational Sciences	Applied and theoretical statistics, Bayesian and computational Statistics, Bayesian Data Aalysis, data science, Data Sciences
	Aug 30, 15:30 - 17:00, Emergence of transportation networks as a self-regulated process (B1 L3 R3119), Jan Haskovec, Senior Research Scientist, Applied Mathematics and Computational Sciences	random process, transportation networks, Public Colloquium
	Emilie Dauzon, Graduate Program Student Advisor, Computer, Electrical and Mathematical Sciences and Engineering
	Sep 9, 12:00 - 13:00, Empirical Risk Minimization in the Non-interactive LDP Model (KAUST), Di Wang, Assistant Professor, Computer Science	Graduate Seminar
	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
	Nov 30, 14:30 - 16:00, Enabling Accurate and Efficient Simulation in Visual Computing - Public Colloquium (KAUST), Dominik L. Michels, Associate Professor, Computer Science	visual computing, Public Colloquium
	Dec 1, 12:00 - 13:00, Enabling smart and connected systems (B9 L2 H1 R2322), Ahmed Eltawil, Associate Dean for Research, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Enas Mohammad Odat, M.S. Student, Computer Science
	Feb 16, 12:00 - 13:00, Energy and Entropy in Numerical Methods (B9 L2 H2), Hendrik Ranocha, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	numerical methods, Seminar
	Oct 31, 12:00 - 13:00, Energy-conserving and energy-stable discretizations of differential equations (B9 L2 H1 R2322), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	energy conservation, energy stability, numerical discretization, Runge-Kutta methods, Graduate Seminar
	Apr 21, 12:00 - 13:00, Enhancing mixing in binary fluids (B9 L2 H2), Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST	Graduate Seminar
	Enhancing understanding of genetic regulation (News)	applied mathematics, computational science, genes, genomics, News
	Oct 15, 12:00 - 13:00, Epidemiological modeling and optimal control (KAUST), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	optimal control, optimal control theory, Graduate Seminar
	Epilepsy study shows the shape of things to come (News)	bioscience, brain science, statistics, News
	Erik von Schwerin, Research Scientist, Stochastic Numerics Research Group	numerical analysis, uncertainty quantification
	Eros Kuikel, M.S. Student, Electrical and Computer Engineering
	Dec 5, 14:30 - 15:30, Error Estimates for Deep Learning Methods in Fluid Dynamics (B1 L4 R4214), Professor, Suleyman Ulusoy, School of Arts and Sciences, American University of Ras Al Khaimah	Seminar
	Sep 17, 12:00 - 13:00, Estimating High-Resolution Red Sea Surface Temperature Hotspots, Using a Low-Rank Semiparametric Spatial Model (KAUST), Arnab Hazra, Postdoctoral Research Fellow, Statistics	High Resolution X-ray Diffraction, spatial modulation, Graduate Seminar
	May 2, 12:00 - 13:00, Estimating the expected information gain in Bayesian optimal experimental design (B9 L2 H1)	DLMC, DLMCIS, optimization, Graduate Seminar
	Nov 21, 12:00 - 13:00, Estimation Problems for Partial and Fractional Differential Equations - Autumn 2019 (B9 L2 H1 R2322)	algorithms, Estimation problems, Fractional differential equations, Partial Differential Equations, real applications, Simulations, Graduate Seminar
	Apr 18, 12:00 - 13:00, Estimation Problems for Partial and Fractional Differential Equations - Spring 2019 (B9 L2 H1)	Fractional differential equation, Partial Differential Equations, Graduate Seminar
	Evangelia Kalligiannaki, Research Scientist, Stochastic Numerics Research Group	markov chains, numerical analysis, uncertainty quantification
	Oct 8, 12:00 - 13:00, ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems (KAUST), Sameh Abdulah, Research Scientist, Hierarchical Computations on Manycore Architectures	Adaptive modeling, Graduate Seminar
	Feb 1, 17:00 - 19:00, Existence theory for non-separable mean field games - Session 1 (KAUST), David Ambrose, Professor, Department of Mathematics at Drexel University, USA	Course
	Feb 8, 17:00 - 19:00, Existence theory for non-separable mean field games - Session 2 (KAUST), David Ambrose, Professor, Department of Mathematics at Drexel University, USA	Course
	Feb 15, 17:00 - 19:00, Existence theory for non-separable mean field games - Session 3 (KAUST), David Ambrose, Professor, Department of Mathematics at Drexel University, USA	Course
	Feb 2, 16:30 - 17:30, Exoplanet Imaging Coronagraphic Mask Development and Testing: A North American Perspective (KAUST), Benjamin L. Gerard, Postdoctoral Scholar, University of California, UC Observatories	Seminar