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	Database to support infectious disease research (News)	artificial intelligence, Computer science, human health, machine learning, News
	Datamining with Ontologies	Applied Ontology, Biomedical Informatics
	Dataset size counts for better predictions (News)	data, statistics, News
	Datasets	Resources
	Datasets	Research, Resources, Publications
	May 15, 10:00 - 11:00, Data–Driven Mining of Causal Disease Relations to Enhance Disease Centric Predictions (B4 L5 R5209), Sumyyah Toonsi, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Daulet Toibazar, M.S. Student, Bioengineering
	David Alvear Goyes, M.S. Student, Electrical and Computer Engineering
	David Bolin, Professor, Statistics	computational statistics, mathematical statistics, random fields, stochastic partial differential equations, stochastic processes
	David De Jesus, Postdoctoral Research Fellow, Applied Mathematics and Computational Science	data analysis, NumPy, PDEs, probability theory, Python (Programming Language), stochastic processes, TensorFlow
	David Evangelista, Ph.D. Student, Applied Mathematics and Computational Science	game theory, market microstructure, mean-field games, optimal control theory, optimal execution, Partial Differential Equations, price formation
	David Ketcheson, Professor, Applied Mathematics and Computational Science	dispersive waves, heterogenouse media, nonlinear waves, numerical analysis, numerical methods, optimization, PDE, software development
	David Keyes, Professor, Applied Mathematics and Computational Science	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 Kouril, Programmer, Vienna University of Technology
	David Kun, B.S., University of Minnesota Twin Cities
	David Lago Cachón, Postdoctoral Research Fellow (former), 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
	David Santiago Rojas Blanco, Visiting Student, Image and Video Understanding Lab
	Davide Priante, Ph.D., Electrical and Computer Engineering	device design, nanofabrication, optoelectronics, Python (Programming Language), semiconductors
	Davide Priante's Ph.D. Dissertation Defense (News)	News
	Davide's paper about enhanced electro-optic performance of surface-treated AlGaN nanowires is accepted by Optical Materials Express! (News)	nanowires, 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	Deep learning, machine learning, Nanyang Technological University, Course
	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	Deep learning, machine learning, Nanyang Technological University, Course
	Dayanand Kumar, Postdoctoral Research Fellow, Electrical and Computer Engineering	In-memory computing, in-memory sensing, memristor, neuromorphic computing, optoelectronic devices
	DDIEM: drug database for inborn errors of metabolism	Drug mechanisms, Rare disease
	Dean's Award 2022 (News, Spotlight)	award, Spotlight, News
	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 Science	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 Science	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 Science	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
	May 8, 16:00 - 16:30, Deep benthic environments: an endless (but stimulating) challenge for marine robotics (B18 Fellowship Hall), Dr. Fabio Marchese, Red Sea Research Center, King Abdullah University of Science and Technology (KAUST)	Autonomous Vehicle Navigation, Field Robots, Mapping, Marine Robotics, Conference
	Apr 6, 12:00 - 13:00, Deep Continual Learning (KAUST), Mohamed Elhoseiny, Associate Professor, Computer Science	Deep learning, Graduate Seminar
	Deep learning accelerates research on early pregnancies (News Clip, News)	Applied Machine Learning, Computer Vision, deep learning, News Clip, News
	Sep 27, 12:00 - 13:00, Deep Learning and Scientific Computing (B9 L2 R2322), Jinchao Xu, Professor, Applied Mathematics and Computational Science	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
	Deep learning meets quantitative structure–property relationship in membrane science (News)	News
	Mar 31, 13:00 - 14:00, Deep Learning Methods for Backward Stochastic Volterra Integral Equations with Applications (Zoom), Prof. Nacira Agram, Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden	Deep learning, Stochastic Control, UQ Hybrid Seminar
	Dec 20, 19:00 - 20:00, Deep Neural Network Approximation via Function Compositions (KAUST), Dr. Shijun Zhang, Department of Mathematics, Duke University	approximation, deep neural networks, Seminar
	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	Ph.D. 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, photonics, ultraviolet wavelengths, Ph.D. Dissertation Defense
	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	Ph.D. 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
	DeepGO	Neuro-Symbolic AI, protein function
	DeepGO2	Neuro-Symbolic AI, protein function
	DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier	Neuro-Symbolic AI, protein function
	DeepGOMeta	Neuro-Symbolic AI, protein function
	DeepGOMeta for functional insights into microbial communities using deep learning-based protein function prediction	Microbial communities, protein function
	DeepGOPlus	Neuro-Symbolic AI, protein function
	DeepGOPlus: improved protein function prediction from sequence	Neuro-Symbolic AI, protein function
	DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web	Ontology engineering, protein function
	DeepGOZero	Neuro-Symbolic AI, protein function
	DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms	Neuro-Symbolic AI, protein function
	DeepMOCCA	Biomedical Informatics, Drug mechanisms, Semantic similarity
	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
	DeepPheno	Neuro-Symbolic AI, protein function
	DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier	Neuro-Symbolic AI, Phenotype informatics, Rare disease
	DeepPVP: phenotype-based prioritization of causative variants using deep learning	Neuro-Symbolic AI, Rare disease
	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
	DeepSVP	genomics, Phenotype informatics, Rare disease
	DeepSVP: integration of genotype and phenotype for structural variant prioritization using deep learning	genomics, Rare disease
	DeepViral	genomics, Phenotype informatics, Rare disease
	DeepViral: prediction of novel virus–host interactions from protein sequences and infectious disease phenotypes	Biomedical Informatics, Drug mechanisms
	Defan Sun, Postdoctoral Research Fellow, Electrical and Computer Engineering	mode-locked lasers, Optical Frequency Comb, photonic integrated circuits, Silicon-based Heterogeneous Integration
	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
	DELE	Applied Ontology, Neuro-Symbolic AI, Ontology engineering
	DELE: Deductive EL++ Embeddings for Knowledge Base Completion	Applied Ontology, Neuro-Symbolic AI, Ontology engineering
	Deloitte and KAUST join hands to explore AI applications in Saudi Arabia (News Clip, News, Press Releases)	AI, artificial intelligence, News Clip, Partnerships, saudi vision 2030, News, Press Releases
	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
	Mar 16, 12:00 - 13:00, Demystifying Adversarial Patch Attacks and Defenses in the Physical World (B9 R2325), Tao Ni, Assistant Professor, Computer Science	computational predictions, Computer Vision, Graduate Seminar, spoofing, Trustworthy AI
	Deng Luo, Ph.D. Student, Computer Science	artificial intelligence, bioinformatics, nanovisualization
	Dengke Wang, Ph.D., Electrical and Computer Engineering	electronic integrated devices
	Denis Rustand, Postdoctoral Research Fellow (former), 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
	Apr 6, 12:00 - 13:00, DePIN: From Decentralization Promise to Security Reality - A Critical Dissection of Trust, Privacy, and Architectural Illusions (B9 R2325), Roberto Di Pietro, Professor, Computer Science	computer networking, cybersecurity, decentralized infrastructure systems, Decentralized Physical Infrastructure Networks, DePIN, dVPNs, Graduate Seminar, privacy preserving techniques, VPNs, Web and Network security
	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
	Deploying UAVs to support rural networks (News)	Unmanned aerial vehicles UAVs enabled wireless networks, News
	Deposition of nanomaterials: a crucial step in biosensor fabrication (News)	Biosensors, nanomaterials, nanotechnology, News
	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, Professor, Applied Mathematics and Computational Science	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