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	Dec 4, 15:30 - 17:00, Nonlinear stability of splitting methods for Cahn-Hilliard equations (B3 L5 R5220), Prof. Tao Tang's personal website	Cahn-Hilliard equations, nonlinear stability, splitting methods, Course
	Jan 10, 15:30 - 17:00, Nonlocal Aggregation-Diffusion Equations: entropies, gradient flows, phase transitions and applications (B2 L5 R5209), Prof. Jose Carrillo, Department of Mathematics, University of Oxford, UK	Cucker-Smale orientation dynamics, Fokker-Planck equations, Keller-Segel-type models, McKean-Vlasov equations, Public Colloquium
	May 13, 16:00 - 17:00, Nonlocal Degenerate PDEs: Bridging Free Boundary Problems and Critical-point Models (Building 1, Level 3, Room 3426), Eduardo Teixeira, Graduate Director & Professor, Department of Mathematics, University of Central Florida	local extrema models, nonlocal degeneracies, regularity estimates, Mathematics and Applications Colloquium
	Sep 25, 12:00 - 13:00, Nonparametric Functional Quantiles, Skewness, and Probability Bands via the Functional Signed Directionality (B9 L2 R2325), Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics	functional signed directionality, Graduate Seminar
	Feb 16, 16:00 - 18:00, Novel computational methods for promoter identification and analysis (B2 L5 R5209), Ramzan Umarov, Ph.D. Student, Computer Science	machine learning, prediction tools, promoters, protein coding, RNA genes, TSS, Ph.D. Dissertation Defense
	Apr 9, 16:00 - 17:00, Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production by Olaa Motwalli (B3 L5 R5209), Olaa A. Motwalli, Ph.D., Computer Science	bioinformatics, genomics, graph mining, machine learning, Ph.D. Dissertation Defense
	Dec 11, 10:00 - 12:00, Novel Computational Methods to Predict Drug–target Interactions Using Graph Mining and Machine Learning Approaches (B3 L5 R5220), Rawan Olayan, Ph.D., Computer Science	bioinformatics, data integration, data mining, graph mining, machine learning, Ph.D. Dissertation Defense
	Mar 1, 12:00 - 13:00, Novel computational models in biological imaging (KAUST), Xin Gao, Professor, Computer Science	Graduate Seminar
	Nov 16, 14:00 - 15:00, Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds by Othman Soufan (H2 B9), Othman Soufan, Ph.D., Computer Science	biomedical applications, Chemical compounds, Computational biology, data mining, machine learning, visualization, Ph.D. Dissertation Defense
	Dec 4, 12:00 - 13:00, Nuclear Fusion Powered by AI and HPC (B9 L2 R2325), Vladimir Pimanov, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	AI, artificial intelligence, Fusion, Graduate Seminar, simulation
	Feb 6, 14:00 - 16:00, Numerical analysis, physics, and high-performance computing: A firm three-hand shake for next-generation predictive computational fluid dynamics frameworks. (B4 L5 R5220), Matteo Parsani, Associate Professor, Applied Mathematics and Computational Science	Public Colloquium
	Nov 1, 15:30 - 17:00, Numerical approximation of McKean-Vlasov SDEs via Stochastic Gradient Descent (B1 L3 R3119), Prof. Gonçalo dos Reis, School of Mathematics, University of Edinburgh	McKean-Vlasov SDEs, stochastic gradient descent, Public Colloquium
	Nov 28, 16:30 - 18:30, Numerical approximation of PDEs on complex geometries: fluid-structure interaction problems and virtual element methods (KAUST), Fabio Credali, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	Ph.D. Dissertation Defense
	Mar 13, 00:00, Numerical Approximation of the Stochastic Cahn-Hilliard Equation and the (Stochastic) Hele-Shaw Problem (B1 L2 R2202), Professor Lubomir Banas (Bielefeld University)	applied mathematics, Seminar
	Nov 7, 14:00 - 16:00, Numerical approximations of Mean-Field-Games (B1 L2 R2202), Serikbolsyn Duisembay, Ph.D. Student, Applied Mathematics and Computational Science	mean-field games, Ph.D. Dissertation Defense
	Apr 4, 16:00 - 17:00, Numerical Methods for Energy Minimisation: Application to Machine Learning Algorithms (B2 L5 R5220), Prof. Charalambos Makridakis, Director of the Institute of Applied and Computational Mathematics of FORTH, Greece	Applied Machine Learning, energy, minimization, numerical methods, Public Colloquium
	Mar 23, 14:30 - 17:30, Numerical Methods for Mean Field Games - Session 1 (KAUST), Mathieu Laurière, Postdoc, Operations Research and Financial Engineering, Princeton University, USA	Course
	Mar 30, 14:30 - 17:30, Numerical Methods for Mean Field Games- Session 2 (KAUST), Mathieu Laurière, Postdoc, Operations Research and Financial Engineering, Princeton University, USA	Course
	May 16, 15:00 - 16:00, Numerical methods for stochastic conservation laws with multiplicative rough drivers in the flux (B1 L4 R4214), Håkon A. Hoel, Visiting Researcher, Stochastic Numerics Research Group	numerical analysis, numerical methods, Seminar
	May 21, 12:00 - 13:00, Numerical simulation in engineering and medicine - On multi-scale approaches, scientific software, and uncertainty (B9 H2), Prof. Rolf Krause, Faculty of Informatics, Università della Svizzera Italiana, Lugano	Seminar
	Jan 26, 08:45 - Jan 28, 15:35, NumPDE Workshop: Numerical Analysis of PDEs (Sunday 26/01 (morning, 8.45-13.30) - Auditorium between Building 2 and Building 3, Sunday 26/01 (afternoon, from 13.45) - Building 9, Room 2322 (Lecture Hall), Monday 27/01 and Tuesday 28/01 - Auditorium between Building 4 and Building 5)	numerical analysis, PDEs, Workshop
	Nov 19, 16:30 - 18:00, Observer-Relative Flow Visualization and Objective Feature Extraction (B1 L4 R4214), Xingdi Zhang, Ph.D. Student, Computer Science	deep learning, scientific computing, visual computing, Ph.D. Dissertation Defense
	Mar 30, 14:00 - 15:00, Omics-based Metastasis Prediction using Machine Learning and Deep Learning (KAUST), Somayah Albaradei, Ph.D. Student, Computer Science	bioinformatics, Computational biology, Computer Vision, machine learning, Ph.D. Dissertation Defense
	Apr 29, 12:00 - 13:00, OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding (B9 L2 H1), Dr Philipp Jovanovic, École Polytechnique Fédérale de Lausanne (EPFL)	Graduate Seminar, scale out, security, transactions
	Nov 10, 11:30 - 13:00, On adopting Gauss maps into geometry tools for Computer-Aided Design (B1, L3, R3426), Victor Ceballos Inza, Ph.D. Student, Computer Science	computer-aided design, gauss maps, Ph.D. Dissertation Defense
	Feb 25, 12:00 - 13:00, On Adversarial Network Attacks, Robustness, and Certification (KAUST), Bernard Ghanem, Professor, Electrical and Computer Engineering	Graduate Seminar
	May 4, 09:00 - 11:00, On Complexity of Decision Trees for Decision Tables from Closed Classes (B5 L5 R5220), Azimkhon Ostonov, Postdoctoral Research Fellow, Computer Science	decision trees, machine learning, Ph.D. Dissertation Defense
	Oct 30, 14:30 - 16:30, On Computation and Robustness Issues in Spatial Statistics (B2, L5, R5220), Sihan Chen, Ph.D. Student, Statistics	computational methods, robust spatial inference, spatial statistics, Ph.D. Dissertation Defense
	Apr 29, 10:00 - 12:00, On Cross Validation, Log Gaussian Cox Process and Variational Bayes (B2 R5220, Zoom Meeting 99219689653), Hans Montcho, Ph.D. Student, Statistics	Bayesian computational statistics, Bayesian computational technique, latent Gaussian models, Point patterns, spital point patterns, Ph.D. Dissertation Defense
	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 20, 12:00 - 13:00, On Fourier methods and machine learning techniques in Computational Finance. (B9 L3 R3128), Prof. Kees Oosterlee, Utrecht University	Graduate Seminar
	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
	Apr 30, 14:00 - 15:00, On Knowledge Graph and Causality for Recommender Systems (B1 L4 R4214), Prof. Guandong Xu, School of Software and Advanced Analytics Institute, University of Technology Sydney	data mining, data science, text and data analytics, University of Technology Sydney, Seminar
	Nov 7, 12:00 - 13:00, On mean-field game price models (B9 L2 H1 R2322), Diogo Gomes, Professor, Applied Mathematics and Computational Science	Graduate Seminar, linear-quadratic problem, mean-field games, modeling, optimal transport with constraints, price formation, supply and demand balance
	Mar 20, 16:00 - 17:00, On Nonlocal Keller-Segel Type Equations (B1 L3 R3119), Dr. Suleyman Ulusoy, American University of Ras Al Khaimah, UAE	Applied Partial Differential Equations, Mathematical Biology, 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, Graduate Seminar, linear systems
	Nov 9, 15:00 - 16:00, On Recently Developed Non-Gaussian Priors and Sampling Methods with Application to Industrial Tomography (B1 L4 R4214), Prof. Lassi Roininen, Applied Mathematics, LUT University	Bayesian Inversion, machine learning, Non-Gaussian spatio-temporal processes, Seminar
	Oct 4, 17:00 - 18:00, On Seven Fundamental Optimization Challenges in Machine Learning (KAUST), Konstantin Mishchenko, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Apr 28, 12:00 - 13:00, On Singular Equations Modeling Electrostatic MEMS (B9 L2 R2325), Katerina Nik, Assistant Professor, Applied Mathematics and Computational Science	free boundary problems, Graduate Seminar, MEMS
	May 9, 16:00 - 17:00, On some nonlinear elliptic/parabolic systems arising in mechanics and turbulence (B2 L5 R5220), Prof. Luigi Carlo Berselli	linear elliptic, Mechanics, nonlinear, parabolic, Systems, Turbulence, Public Colloquium
	Oct 25, 15:30 - 17:00, On Some PDEs with singular data (B1 L3 R3119), Prof. Mohammed Kbiri Alaoui, King Khalid University	PDEs, singular data, Public Colloquium
	Jan 25, 12:00 - 13:00, On space-time models: models and applications (B9 L2 H2 H2), Elias Teixeira Krainski, Research Scientist, Statistics	Graduate Seminar
	Apr 16, 14:00 - 15:00, On Strong Stability of Runge-Kutta Methods (B1 L4 R4214), Dr. Hendrik Ranocha, Technische Universitat Braunschweig	Hyperbolic PDEs, pdes and odes, TU Braunschweig, Seminar
	Mar 16, 12:00 - 13:00, On Studying Computer Science - 2020-03-16 (KAUST), Peter Wonka, Professor, Computer Science	Computer science, Graduate Seminar
	Sep 7, 12:00 - 13:00, On Studying Computer Science - 2020-09-07 (KAUST), Peter Wonka, Professor, Computer Science	Computer science, Graduate Seminar
	Oct 26, 14:00 - 15:00, On supercomputers and engineering applications: DNS, modeling, and GPUs (B2 L5 R5209), Mathis Bode, Researcher, Institute for Combustion Technology (ITV) at RWTH Aachen University	computational fluid dynamics, Navier-Stokes, supercomputers, Seminar
	Apr 18, 14:00 - 15:00, On the Application of Extreme Value Theory to the Performance of Modern Wireless Communication Systems (B1 L3 R3119), Assistant Professor Yazan H. Al-Badarneh, Electrical Engineering, University of Jordan	The University of Jordan, 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 27, 13:00 - 15:00, On the collapse mechanism of Wave Maps (B1 L4 R4214), Prof. Manoussos Grillakis, Departments of Mathematics, University of Maryland	Partial Differential Equations, Seminar
	Mar 1, 09:00 - 16:00, On The Coupling between HPC and Statistics: Challenges, Opportunities, and Future Trends of Emerging Techniques -- (Virtual SIAM CSE21 Minisymposium) (KAUST)	applied statistics, big data, Conference
	Nov 9, 16:00 - 18:00, On the Downlink Operation and Architecture Optimization of Multi-User VLC Systems (KAUST), Amr M. Abdelhady, Postdoctoral Research Fellow (former), Communication and Computing Systems Lab	Ph.D. Dissertation Defense
	Apr 1, 15:30 - 16:15, On the Fundamental Challenges for Self-Driving Cars (KAUST), Emilio Frazzoli, Professor, Dynamic Systems and Control, ETH Zürich	autonomous vehicles, Future Mobility, RobotoKAUST, Conference
	Feb 6, 12:00 - 13:00, On the Mathematics of Turbulent flows (B9 L3 R3128), Luigi C. Berselli, Visiting Faculty, University of Pisa	Graduate Seminar, Mathematical modeling, Turbulent
	Feb 5, 12:00 - 13:00, On the Modeling and Approximation of Phase Transitions in Elasticity (B9 L2 R2325), Georgios Grekas, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	elasticity, Graduate Seminar, mathematical modelling, Phase transitions
	Jun 11, 16:00 - 17:00, On the Natural Gradient Descent (KAUST), Prof. Levon Nurbekyan	gradient methods, Public Colloquium
	May 19, 14:30 - 15:30, On the Precipice of a Global Transition Toward Electric Vehicles (B20 L2 R2011), Peter Rawlinson, the Chief Executive Officer and Chief Technology Officer of Lucid	Global Transition, Revolutionary technology, Toward Electric Vehicles, Presentation
	Mar 30, 12:00 - 13:00, On the rate of convergence of the Inviscid Limit for 2D Incompressible Fluid (B1 L4 R4102), Associate Professor Stefano Spirito, Department of Mathematics, University of LAquila, Italy	Seminar
	Sep 13, 15:30 - 17:00, On the resolution of a theoretical question related to the nature of local training in federated learning (B1 L3 R3119), Peter Richtarik, Professor, Computer Science	algorithms, communications, machine learning, mathematical optimization, Public Colloquium
	Dec 7, 15:30 - 17:00, On the role of pair correlations in the evolution of Bose-Einstein condensates (B1 L3 R3119), Prof. Manoussos Grillakis, Department of Mathematics, University of Maryland in College Park.	nonlinear Schr¨odinger equation, Public Colloquium
	Mar 13, 12:00 - 13:00, On the Use of "Conventional" Unconstrained Minimization Solvers for Training Regression Problems in Scientific Machine Learning (B9 L2 R2325), Stefano Zampini, Senior Research Scientist, Hierarchical Computations on Manycore Architectures	machine learning, petsc, PETScML
	Nov 21, 12:00 - 13:00, On training algorithms for neural networks (B9 L2 R2322 H1), Jinchao Xu, Professor, Applied Mathematics and Computational Science	Deep learning, deep neural networks, 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
	Jan 30, 12:00 - 13:00, On-Chip Antennas: The Last Barrier to True RF System-on-Chip (KAUST), Atif Shamim, Program Chair, Electrical and Computer Engineering	Graduate Seminar
	Mar 11, 10:00 - 16:00, One-on-One Statistical Consulting for KAUST Researchers (B1 L4 R4102)	Event
	Jul 20, 09:00 - 10:00, Ontology design patterns and methods for integrating phenotype ontologies (B3 L5 R5209.), Sarah Alghamdi, Ph.D. Student, Computer Science	bio-ontology, phenotype ontologies, Ph.D. Dissertation Defense
	Apr 10, 13:00 - 14:30, Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Ageing and Longevity in Inbred Mouse Strains (B9 R3120), Sarah Alghamdi, Ph.D. Student, Computer Science	biomedicine, computation techniques, data analysis, Ontologies, semantic analysis, Thesis Defense
	Sep 14, 12:00 - 13:00, Optical Frequency Combs: From Conventional Techniques to Emerging Approaches (B9 L2 R2325), Aram Mkrtchyan, Postdoctoral Research Fellow, Electrical and Computer Engineering	Graduate Seminar
	Sep 14, 16:00 - 18:30, Optimal Algorithms for Affinely Constrained, Distributed, Decentralized, Minimax, and High-Order Optimization Problems (B5 R5220), Dmitry Kovalev, Ph.D. Student, Computer Science	machine learning, optimization, Ph.D. Dissertation Defense
	Feb 10, 12:00 - 13:00, Optimal Reference Frames, Scaling and Features in Visualization (B9 L2 H1 R2322), Prof. Holger Theisel, Visual Computing, Magdeburg University	Graduate Seminar, visual computing, visualization
	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
	Dec 6, 15:30 - 17:00, Optimal-complexity Multigrid Solvers for High-order FEM in the de Rham Complex (B1 L3 R3119), Prof. Patrick Farrell, University of Oxford	Public Colloquium
	Feb 5, 12:00 - 13:00, Optimization and Learning in Computational Imaging (B9 H1 R2322), Wolfgang Heidrich, Professor, Computer Science	computational imaging, Seminar
	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 Science	Graduate Seminar
	May 7, 16:00 - 17:00, Optimization for Deep Learning (B5 L5 R5209), Dr. Konstantin Mischenko, Samsung AI Center, Cambridge, UK	Deep learning, mathematical optimization, Public Colloquium
	Jul 30, 16:00 - 18:00, Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters (KAUST), Filip Hanzely, Ph.D., Applied Mathematics and Computational Science	Ph.D. Dissertation Defense
	Mar 31, 20:30 - 21:15, Optimization-Based Control of Autonomous Aerospace Systems (KAUST), Behcet Acikmese, Professor, William E. Boeing Department of Aeronautics and Astronautics, University of Washington, USA	RobotoKAUST, Conference
	Apr 3, 12:00 - 13:00, Organic Electronics for Diagnostics in Physiological Media (B9 L2 H1), Prof. Sahika Inal, Biological, Environmental Science and Engineering, KAUST	Graduate Seminar, organic electronics
	Dec 11, 14:00 - 15:00, Overcoming Catastrophic Forgetting: From Efficiency to Safety (B3 L5 R5220), Lama Alssum, Ph.D. Student, Computer Science	AI, Computer Vision, machine learning, Ph.D. Dissertation Defense
	Jan 10, 14:00 - 15:00, Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning (KAUST), Arnulf Jentzen, Professor, Applied Mathematics Münster: Institute for Analysis and Numerics, University of Münster	Deep learning, monte carlo algorithms, nonlinear, Seminar
	Jun 5, 16:15 - 16:45, Panel Discussion: A Roadmap for Bringing to Earth the Energy of the Stars (B20 Auditorium), Prof. Amitava Bhattacharjee, Dr. Michael Zarnstorff, Dr. Spencer Pitcher, Mr. Richard Carty	Earth, energy, roadmap, Stars, Lecture
	Nov 8, 15:30 - 17:00, Parallel multilevel solvers for virtual element discretizations of saddle point problems (B1 L3 R3119), Prof. Simone Scacchi, Associate Professor of Numerical Analysis at the Department of Mathematics of the University of Milan	Virtual Element Method, Public Colloquium
	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
	Nov 14, 12:00 - 13:00, Parameter-Free Online Optimization: Past, Present, and Future (B9 L2 R2322), Francesco Orabona, Associate Professor of Electrical and Computer Engineering, Boston University	Graduate Seminar, machine learning, Parameter-free online optimization
	Jan 23, 10:00 - 11:00, Parametric Loudspeaker: From Theory To Applications (B1 L3 R3119), Jun Yang, Distinguished Professor, Chinese Academy of Sciences	Seminar
	Mar 6, 15:00 - 16:00, Parametric Problems, Stochastic, and Identification By Prof. Hermann Matthies (ISCTUB, Germany) (B1 R4102), Prof. Hermann Matthies, Institute of Scientific Computing TU Braunschweig, Geramany	Seminar
	Mar 12, 09:00 - 11:30, Part 1 - Introduction to backstepping control (KAUST), Prof. Johann Reger, Computer Science and Automation Faculty, TU Ilmenau, Germany.	Backstepping, TU Ilmenau, Course
	Jul 29, 10:30 - 15:00, Part 1: Boundary Control of Continuum Problems (B9 L3 R3131), Professor Mamadou L. Diagne, Rensselaer Polytechnic Institute	Partial Differential Equations, Course
	Apr 30, 14:00 - 16:00, Part 1: Introduction to homogenisation and Gamma-Convergence (B2 B3 A0215), Filippo Cagnetti, Senior Lecturer in Mathematics, University of Sussex, UK	gamma-convergence, PDE, Course
	May 20, 14:30 - 16:00, Part 1: The isoperimetric inequality. Stability and related topics (B1 L4 R4102), Prof. Nicola Fusco, Università di Napoli Federico II, Italy	isoperimetric inequality, Partial Differential Equations, University of Jyvaskyla in Finland, Course
	Apr 17, 14:00 - 16:00, Part 1: Variational structures and Fourier approximation techniques for mean-field game systems (B1 L3 R3119), Dr. Levon Nurbekyan, Visiting Scholar, Université de Montréal	mean-field games, Partial Differential Equations, Université de Montréal, Course
	Jun 1, 15:00 - 16:30, Part 1A \| PDE Backstepping Boundary Control of Parabolic PDEs (KAUST), Prof. Mamadou Diagne, Rensselaer Polytechnic Institute	linear parabolic PDEs, Lyapunov methods, parabolic-hyperbolic PDE, Partial Differential Equations, Course
	Jun 1, 17:00 - 18:30, Part 1B \| PDE Backstepping Boundary Control of Parabolic PDEs (KAUST), Prof. Mamadou Diagne, Rensselaer Polytechnic Institute	linear parabolic PDEs, Lyapunov methods, parabolic-hyperbolic PDE, Partial Differential Equations, Course
	Mar 16, 09:00 - 11:30, Part 2 - Introduction to backstepping control (KAUST), Prof. Johann Reger, Computer Science and Automation Faculty, TU Ilmenau, Germany.	Backstepping, Lyapunov Theory, TU Ilmenau, Course
	Jul 30, 10:30 - 15:00, Part 2: Boundary Control of Continuum Problems (B9 L3 R3131), Professor Mamadou L. Diagne, Rensselaer Polytechnic Institute	Partial Differential Equations, Course
	May 1, 14:00 - 16:00, Part 2: Introduction to homogenisation and Gamma-Convergence (B1 L2 R2202), Filippo Cagnetti, Senior Lecturer in Mathematics, University of Sussex, UK	gamma-convergence, PDE, Course
	May 22, 14:30 - 16:00, Part 2: The isoperimetric inequality. Stability and related topics (B1 L4 R4102), Prof. Nicola Fusco, Università di Napoli Federico II, Italy	isoperimetric inequality, Partial Differential Equations, University of Jyvaskyla in Finland, Course
	Apr 22, 14:00 - 16:00, Part 2: Variational structures and Fourier approximation techniques for mean-field game systems (B1 L3 R3119), Dr. Levon Nurbekyan, Visiting Scholar, Université de Montréal	mean-field games, Partial Differential Equations, Université de Montréal, Course
	Jun 2, 15:00 - 16:30, Part 2A \| PDE Backstepping Boundary Control of Parabolic PDEs (KAUST), Prof. Mamadou Diagne, Rensselaer Polytechnic Institute	linear parabolic PDEs, Lyapunov methods, parabolic-hyperbolic PDE, Partial Differential Equations, Course
	Jun 2, 17:00 - 18:30, Part 2B \| PDE Backstepping Boundary Control of Parabolic PDEs (KAUST), Prof. Mamadou Diagne, Rensselaer Polytechnic Institute	linear parabolic PDEs, Lyapunov methods, parabolic-hyperbolic PDE, Partial Differential Equations, Course

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