Event Content - (E)

First Letter

2 (1) | 5 (1) | A (63) | B (8) | C (18) | D (21) | E (40) | F (24) | G (9) | H (14) | I (13) | J (2) | K (2) | L (11) | M (58) | N (20) | O (28) | P (36) | Q (6) | R (20) | S (37) | T (47) | U (4) | V (2) | W (11)

	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
	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
	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
	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
	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
	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
	Jan 13, 16:00 - 17:00, Enriching Your CV, Expanding Networks, and Building a Reputation (B1, L3, R3119, Zoom link), Majid Hassanizadeh, Senior Professor, Stuttgart Center for Simulation Science (SIMTECH), Stuttgart University, Germany	Graduate Seminar
	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
	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
	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
	Nov 5, 12:00 - 13:00, Exploring Non-Linear Interactions in Multivariate Time Series (KAUST), Hernando Ombao, Professor, Statistics	Bayesian computational statistics, Linear, Multivariate extremes, Graduate Seminar
	Feb 10, 12:00 - 13:00, Exploring Spectral Dependence in Multivariate Time Series (KAUST), Hernando Ombao, Professor, Statistics	Graduate Seminar
	Mar 20, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (B9, L2, R2325), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Apr 15, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2021 (KAUST), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Mar 3, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2022-03-03 (B9 L2 H2), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Oct 4, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2022-10-04 (B9 L2 R2322), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	combinatorial optimization, data mining, Dynamic programming, Graduate Seminar