All Content - (D)

First Letter

(1) | 1 (2) | 2 (7) | 3 (4) | 4 (1) | 5 (4) | 6 (4) | A (490) | B (115) | C (225) | D (202) | E (172) | F (140) | G (77) | H (166) | I (113) | J (97) | K (239) | L (114) | M (456) | N (126) | O (84) | P (250) | Q (23) | R (174) | S (368) | T (256) | U (54) | V (39) | W (82) | X (48) | Y (82) | Z (47) | Β (2) | (2)

	Da Li, M.S. Student, Computer Science	computer graphics, machine learning, Scientific Visualization
	Daisuke Iida, Senior Research Scientist, Electrical and Computer Engineering	MOVPE, optoelectronics, photocatalysis, plasmonics, solar energy
	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
	Dalia Al-Hothali, Visiting Student, Electrical and Computer Engineering
	Feb 4, 12:00 - 13:00, Damage-free pixel definition technology for future microLED display (B9 L2 H2), Zhiyuan Liu, Ph.D. Student, Electrical and Computer Engineering	device performance, Graduate Seminar, Micro-LEDs, Selective thermal oxidation(STO)
	Damián San Román Alerigi, Ph.D., Electrical and Computer Engineering	optics
	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
	Daniel Toth, M.S., Electrical and Computer Engineering	EPFL, photonics, Quantum Measurements
	Daniel Wilson-Nunn, Visiting Student, Computer, Electrical and Mathematical Sciences and Engineering	Mathematical Finance, MIMO Antenna Selection, Stochastic processes
	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
	Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	eigenvalue approximation, Finite elements, fluid dynamics, mixed finite elements, numerical PDEs
	Daniya Boges, Ph.D. Student, Computer Science
	Dante Serrano Kobylyansky, M.S. Student, Electrical and Computer Engineering	nanofabrication, printed electronics
	Daoming Liu, Postdoctoral Research Fellow, Computer Science	computer graphics, geometric computing, physical simulation
	Daria Bolbot, Ph.D. Student, Applied Mathematics and Computational Sciences	Applied Partial Differential Equations, Dispersive-diffusive systems, Dynamical Systems, Nonlinear Elasticity
	Dark materials squeeze green fuel from sunlight (News)	metamaterials, photocatalysis, plasmon resonance, News
	Aug 29, 12:00 - 13:00, Dark Vision: A Sensory Eye into Subsurface Wellbore Casings (KAUST), Shehab Ahmed, Professor, Electrical and Computer Engineering	Dark Vision, Eye, Graduate Seminar, Sensory, Subsurface, Wellbore
	Sep 4, 10:00 - 11:00, Data assimilation and optimal control in the context of UAV-based flash flood monitoring (B5 L5 R5209), Christian Claudel, Assistant Professor, Architectural and Environmental Engineering at UT-Austin	control systems, flood monitoring, Seminar, UAV
	Nov 28, 13:15 - 14:00, Data Assimilation for Flood Real Time Estimation: Challenges and Methods (B2 5220), Prof. Christian Claudel, The University of Texas at Austin	data assimilation, real time estimation, Workshop
	Nov 25, 12:00 - 13:00, Data Augmentation is Regularization (B9, L2, R2325), Maurizio Filippone, Associate Professor, Statistics	Graduate Seminar
	May 19, 12:00 - 13:00, Data mining and fusion for image analysis in remote sensing (B2 L5 R5209), Dr. Wenzhi Liao, Ghent University, Belgium	Seminar
	Feb 11, 12:00 - 13:00, Data, AI and Cybersecurity: Synergies and Interconnection (B9 L2 H2 H2), Marco Mellia, Department of Control and Computer Engineering, Politecnico di Torino, Italy	artificial intelligence, cybersecurity, Deep learning, Lecture
	Sep 21, 12:00 - 13:00, Data-sparse Algorithms for Large-scale Applications on Emerging Architectures (KAUST), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	Graduate Seminar
	Mar 2, 12:00 - 13:00, Data-sparse Methods for Large-scale Applications on Emerging Architectures (B9 L2 H1 R2322), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	Graduate Seminar, hierarchical computations
	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
	Daulet Toibazar, M.S. Student, Bioengineering
	David Alvear Goyes, M.S. Student, Electrical and Computer Engineering
	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 Gomez-Cabrero, Associate Professor, Bioscience	computational bioscience, epigenetics, functional biology, genomics, machine learning
	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
	David Kun, B.S., University of Minnesota Twin Cities
	David Lago Cachón, Postdoctoral Research Fellow, Communication and Computing Systems Lab	Biosensors, body area networks, health effects, magnetism
	David Murphy, Scientific Writer (former), Computer, Electrical and Mathematical Sciences and Engineering	scientific writer
	David Pugh, Instructional Assistant Professor, Computer Science
	Davide Priante, Ph.D., Electrical and Computer Engineering	device design, nanofabrication, optoelectronics, Python, semiconductors
	Davide Priante's Ph.D. Dissertation Defense (News)	News
	Dawar Khan, Postdoctoral Research Fellow, Computer Science	computer graphics, visualization
	Apr 24, 09:00 - 17:00, Day 1 - Deep learning and the latest algorithms in artificial intelligence (B4 B5 A0215), Prof. Xavier Bresson, Data Science and AI Research Centre at Nanyang Technological University (NTU) Singapore	Course, Deep learning, machine learning, Nanyang Technological University
	Apr 25, 09:00 - 17:00, Day 2 - Deep learning and the latest algorithms in artificial intelligence (B4 B5 A0215), Prof. Xavier Bresson, Data Science and AI Research Centre at Nanyang Technological University (NTU) Singapore	Course, Deep learning, machine learning, Nanyang Technological University
	Dayanand Kumar, Postdoctoral Research Fellow, Electrical and Computer Engineering	memristor, neuromorphic computing
	Deanna Lacoste, Associate Professor, Physical Science and Engineering
	Decision Trees for Fault Diagnosis in Circuits and Switching Networks (News)	News
	Jan 22, 11:30 - 12:30, Decision Trees for Fault Diagnosis in Circuits and Switching Networks (B9 L2 H2325), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	decision trees, Graduate Seminar, switching networks
	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
	Mar 17, 12:00 - 13:00, Decision-Making Under Risk in Complex Environments (B9 L2 H2), Yury Dvorkin, Associate Professor, Departments of Civil and Systems Engineering and Electrical and Computer Engineering, Johns Hopkins University	Graduate Seminar, probabilistic optimization, uncertainty quantification
	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
	Dedicating cellular infrastructure for aerial users (News)	News
	Deemah Al Fuhaid, M.S. Student, Electrical and Computer Engineering	control systems engineering
	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
	Apr 6, 12:00 - 13:00, Deep Continual Learning (KAUST), Mohamed Elhoseiny, Associate Professor, Computer Science	Deep learning, Graduate Seminar
	Sep 27, 12:00 - 13:00, Deep Learning and Scientific Computing (B9 L2 R2322), Jinchao Xu, Professor, Applied Mathematics and Computational Sciences	Deep learning, Graduate Seminar, scientific computing
	Deep learning improves lens design (News Clip, News)	News Clip, News
	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	PhD Dissertation Defense
	Deep neural networks that “get” spatial dependence (News)	News
	Sep 20, 12:00 - 13:00, Deep Optics - Joint Design of Imaging Hardware and Reconstruction Methods - Graduate Seminar (B9 R2322 H1), Wolfgang Heidrich, Professor, Computer Science	Graduate Seminar
	Mar 26, 12:00 - 13:00, Deep Predictive Models for Mining Electronic Health Records (B1 L4 R4214), Fenglong Ma, Research Assistant, State University of New York at Buffalo, USA	computational predictions, data mining, healthcare, machine learning, Seminar
	Deep thinking brings underwater robot to life (News)	engineering, marine science, mechanical, robot, News
	Nov 11, 18:00 - 20:00, Deep-Ultraviolet Optoelectronic Devices Enabled by the Hybrid Integration of Next-Generation Semiconductors and Emerging Device Platforms (B3 L5 R5209), Nasir Alfaraj, Ibn Rushd Postdoctoral Fellow, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto	optoelectronics, PhD Dissertation Defense, photonics, ultraviolet wavelengths
	Nov 10, 18:00 - 19:00, Deep-Ultraviolet Optoelectronics Based on GaN Quantum Disks and Bio-Inspired Nanostructures (B3 L5 R5209), Ram Chandra Subedi, Ph.D. Student, Electrical and Computer Engineering	PhD Dissertation Defense
	Deepa Pinto, Business Analyst, Computer, Electrical and Mathematical Sciences and Engineering
	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
	Nov 29, 12:00 - 13:00, DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning (B9 R2322 H1), Panagiotis Kalnis, Professor, Computer Science	Graduate Seminar
	Sep 12, 12:00 - 13:00, Defeating the attacks from bots scrapers hiding behind residential proxy IPs (B9 L2 R2322 H1), Marc Dacier, Professor, Computer Science	Graduate Seminar, operational security, resilient computing
	Defying symmetry for better synthesis (News)	gold nanosphere, nanoparticles, News
	Democratizing electronics one step at a time (News)	CMOS, flexible, magnetism, nanoelectronics, sensors, transducers, News
	Oct 2, 12:00 - 13:00, Demonstration of “WBG and Beyond” Electronics: Towards Large-scale 3D-vertical heterogenous integration (B9 L2 R2322 H1)	Graduate Seminar
	Deng Luo, Ph.D. Student, Computer Science	artificial intelligence, bioinformatics, nanovisualization
	Dengke Wang, Ph.D. Student, Electrical and Computer Engineering	electronic integrated devices
	Denis Rustand, Postdoctoral Research Fellow, Statistics	Bayesian computational statistics, Survival analysis
	Dental braces get smart (News)	CMOS, flexible, nanoelectronics, News
	Mar 7, 15:30 - 16:30, Dependability assessment work at City, University of London and possible synergies with RC3 at KAUST (B4 L5 R5209), Reader, the Department of Computer Science, City, University of London.	cybersecurity, dependability, fault tolerance, Seminar
	Feb 8, 12:00 - 13:10, Dependence and Causality in Functional Brain Networks (B9 L2 H2 H2), Hernando Ombao, Professor, Statistics	Graduate Seminar
	Dec 6, 12:00 - 13:00, Deploying DNNs in the Embedded Space: Challenges and Opportunities (B9 R2322 H1), Christos-Savvas Bouganis, Reader in Intelligent Digital Systems in the Department of Electrical and Electronic Engineering, Imperial College London, UK	Graduate Seminar
	Jan 13, 14:30 - 15:30, Derivation of cross-diffusion models in population dynamics: dichotomy, time-scales, and fast-reaction (B1, L3, R3119), Cinzia Soresina, Montalcini Tenure-Track Assistant Professor, Department of Mathematics, University of Trento, Italy	Mathematics and Applications Colloquium
	Nov 27, 11:30 - 12:30, Derivative-Free Global Minimization: Relaxation, Monte Carlo and Sampling (B9 L2 H2 H2), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	Gradient flows, Graduate Seminar, minimization, Monte Carlo, Monte Carlo Methodology
	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
	Derya Baran, Associate Professor, Material Science and Engineering
	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
	Mar 17, 12:00 - 13:00, Design and Control of Multi-Agent Robotic Systems (B9 H1 R2322), Dr. Shinkyu Park, Massachusetts Institute of Technology, USA	Graduate Seminar, MIT
	Apr 22, 12:00 - 13:00, Design and Optimisation of Next generation Compact Photonic Sensors (B3 L5 R5209), Prof. B. M. Azizur Rahman, City, University of London	Seminar, sensors
	Nov 2, 10:30 - 12:30, Design and topological optimization of nanophotonic devices (KAUST), Ronghui Lin, Ph.D. Student, Electrical and Computer Engineering	PhD Dissertation Defense
	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
	Apr 1, 17:15 - 18:00, Designing And Modelling Soft Active Artificial Muscles “Geometric and Material Nonlinearities” (KAUST), Marwa Eldiwiny, PhD Student, IEEE RAS Org	Conference, Controller design, FEMSimulation, Geometricandmaterial nonlinearities, RobotoKAUST, SoftActiveMaterial
	Sep 26, 12:00 - 13:00, Designing High-Performance and Scalable Middleware for HPC, AI, and Data Science (B9 L2 R2322 H1), Prof. Dhabaleswar K. (DK) Panda, Professor, Computer Science and Engineering, The Ohio State University	artificial intelligence, data science, Deep learning, Graduate Seminar, machine learning
	Feb 12, 08:30 - 09:30, Designing, Synthesizing, and Automating Domain-Specific Accelerators (KAUST), Jian Weng, PhD student, Computer Science Department, UCLA	Digital signal processing, Seminar
	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 metabolites at close range (News)	bioscience, Biosensors, metabolite detection, News
	Detecting semi active intra networks components (Research), Sat, Jul 30 2022	Research

All Content - (D)

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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