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(3) | ( (1) | 1 (1) | 2 (2) | 3 (2) | 5 (3) | 6 (4) | A (162) | B (55) | C (93) | D (100) | E (116) | F (68) | G (30) | H (46) | I (62) | J (4) | K (24) | L (52) | M (137) | N (56) | O (59) | P (96) | Q (8) | R (76) | S (147) | T (165) | U (26) | V (22) | W (35) | X (1) | Z (1) | Β (2)

	Jun 29, 14:00 - 17:00, State Estimation for Nonlinear Dynamical Systems: Methods and Applications \| Part 1B (KAUST), Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz	linear matrix inequalities, Lyapunov methods, nonlinear dynamics, Course
	Jun 30, 14:00 - 17:00, State estimation for nonlinear dynamical systems: Methods and applications \| Part 1C (KAUST), Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz	linear matrix inequalities, Lyapunov methods, nonlinear dynamics, Course
	Jul 5, 14:00 - 17:00, State Estimation for Nonlinear Dynamical Systems: Methods and Applications \| Part 2A (KAUST), Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz	linear matrix inequalities, Lyapunov methods, nonlinear dynamics, Course
	Jul 6, 14:00 - 17:00, State Estimation for Nonlinear Dynamical Systems: Methods and Applications \| Part 2B (KAUST), Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz	linear matrix inequalities, Lyapunov methods, nonlinear dynamics, Course
	Jul 7, 14:00 - 17:00, State Estimation for Nonlinear Dynamical Systems: Methods and Applications \| Part 2C (KAUST), Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz	linear matrix inequalities, Lyapunov methods, nonlinear dynamics, Course
	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
	May 28, 14:00 - 15:00, Stationary Mean-Field Games with Congestion (B2 L5 R5220), David Evangelista, Ph.D. Student, Applied Mathematics and Computational Science	mean-field games, 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
	Apr 6, 14:00 - 17:00, Statistical Modeling of Financial Extremes and Volatility Dynamics (B2 R5220), Junshu Jiang, Ph.D. Student, Statistics	extreme events, numerical analysis, Quantitative finance, Statistical Modeling, Ph.D. Dissertation Defense
	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, SPDEs, statistical analysis, Public Colloquium
	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
	May 30, 11:00 - 14:00, Stein Variational Gradient Descent and Consensus-Based Optimization: Towards a Convergence Analysis and Generalization (B3 L5 R5220), Lukang Sun, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Jun 1, 16:00 - 17:00, Stochastic differential games, network of networks and the crowd evacuation problem (B1 L4 R4102), Dr. Julian Barreiro Gomez, Center on Stability, Instability, and Turbulence (SITE) at the New York University in Abu Dhabi	Seminar
	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
	Dec 9, 14:30 - 15:30, Stochastic Interacting Particle Methods and Generative Learning for Multiscale PDEs (B1 L3 R3119), Jack Xin, Distinguished Professor, Department of Mathematics, School of Physical Sciences, University of California, Irvine	machine learning, PDEs, Mathematics and Applications Colloquium
	May 15, 08:00 - May 28, 17:00, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop (KAUST Campus), Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)	Workshop
	May 21, 08:00 - Jun 1, 17:00, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2023 (B9), Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)	machine learning, statistical learning, stochastic algorithms, Workshop
	May 19, 08:00 - May 30, 17:00, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024 (B2 B3 A0215), Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)	machine learning, statistical learning, stochastic algorithms, Workshop
	May 18, 09:00 - May 25, 15:30, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2025 (Auditorium 0215 between B2 & B3)	machine learning, statistical learning, stochastic algorithm, Workshop
	Nov 22, 08:30 - Dec 2, 13:30, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2026 (B2/3 A0215)	numerical analysis, statistical learning, stochastic algorithm, Workshop
	Oct 31, 15:30 - 17:00, Stochastic Optimal Control with Exercise Rate Optimization and Markovian Projections: Pricing American Options and Importance Sampling Applications (B5 L5 R5209), Raul Tempone, Professor, Applied Mathematics and Computational Science	Markovian projection, sampling, Public Colloquium
	Jul 27, 17:00 - 19:00, Stochastic Optimization in Target Positioning and Location-based Applications (KAUST), Hui Chen, Ph.D. Student (former), Electrical and Computer Engineering	Hand Gestures Recognition, optimization, stochastic algorithm, Ph.D. Dissertation Defense
	Apr 14, 18:00 - 20:00, Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization (B5 L5 R5209), Kai Yi, Ph.D. Student, Computer, Electrical and Mathematical Sciences and Engineering	Ph.D. Dissertation Defense
	Oct 6, 12:00 - 13:00, Strong, Versatile and Invisible - Magnetic Transducers (B9 L2 H1 R2322)	Graduate Seminar
	Mar 3, 14:30 - 15:30, Structure Preserving Methods for Schrodinger Type of Equations (B1 L3 R3119), Theodoros Katsaounis, Professor, Department of Mathematics and Applied Mathematics, University of Crete (UoC)	cosmology, Schrödinger equation, waves, Mathematics and Applications Colloquium
	May 2, 12:15 - 14:00, Student Poster Competition: The KAUST Research Conference on Computational Advances in Structural Biology (B9 Hallway), Xin Gao, Professor, Computer Science	structural biology, Poster Competition
	Sep 12, 09:30 - 11:00, Study of III-nitride Nanowire Growth and Devices on Unconventional Substrates (B3 L5 R5209), Aditya Prabaswara, Ph.D., Electrical and Computer Engineering	III-nitride nanowires, optoelectronics, semiconductors, Ph.D. Dissertation Defense
	Jul 30, 16:00 - 17:00, Study of ultraviolet AlGaN nanowires light-emitting diodes (B3 L5 R5209), Davide Priante, Ph.D., Electrical and Computer Engineering	nanofabrication, optoelectronics, photonics, Ph.D. Dissertation Defense
	Aug 12, 14:00 - 16:00, Stylistic and spatial disentanglement in GANs (KAUST), Yazeed Alharbi, Ph.D., Computer Science	Computer Vision, Deep learning, generative adversarial network, machine learning, Ph.D. Dissertation Defense
	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
	Nov 11, 13:30 - 14:30, Success and Challenges of Computational Fluid Dynamics for Engineering Applications (B1 L3 R3119), Feng Liu, Professor, Department of Mechanical and Aerospace Engineering, University of California, Irvine	algorithms, CDF, Computer simulations, Turbulent, Mathematics and Applications Colloquium
	Nov 28, 13:00 - 14:00, Surface Electromagnetics: Physics Exploration and Engineering Applications (B2 L5 R5220), Prof. Fan Yang, Electronic Engineering Department, Tsinghua University, China	applications in microwaves and optics, concepts and designs, development, surface electromagnetics, Seminar
	Feb 9, 13:00 - 14:30, Surface Tracking for Large-scale Dynamic Foams and Fluids (B1, L2, R2202), Aleksei Kalinov, PhD Student at Institute of Science and Technology Austria	Seminar
	Oct 22, 13:00 - 14:00, Sustainability-led Designs through Digital Twins (B9 L2 H2), Dr. Eric Lou	Graduate Seminar
	Apr 1, 14:00 - 14:45, Swarms for People (KAUST), Sabine Hauert, Associate Professor, Bristol Robotics Laboratory, University of Bristol	RobotoKAUST, Conference
	Mar 12, 12:00 - 13:00, Symbolic AI in Computational Biology (B9 H1 R2322), Robert Hoehndorf, Associate Professor, Computer Science	Seminar
	Feb 26, 16:30 - 17:30, Symbolic AI in Computational Biology: Applications to Disease Gene and Drug Target Identification (The University of Cambridge in the United Kingdom), Robert Hoehndorf, Associate Professor, Computer Science	Seminar
	Nov 29, 15:00 - 16:00, Symmetry and Beyond (B3 L5 R5220), Prof. Jiping Zhang	groups, monstrous moonshine, symmetric polynomials, symmetry, Lecture
	Apr 2, 13:00 - 15:00, Synergizing Nanophotonics and Artificial Intelligence: From Inverse Design to Intelligent Optical Frontends (B3 R5220), Qizhou Wang, Ph.D. Student, Electrical and Computer Engineering	AI, artificial intelligence, computational imaging, Computer Vision, deep learning, hyperspectral imaging, intelligent systems, nanophotonics, Ph.D. Dissertation Defense
	Jun 30, 10:00 - 11:00, Synthetic Molecular Communication Across Different Scales: From Theory to Experiments (B1 L3 R3119), Robert Schober	Seminar

Event Content - (S)

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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