Bio2Vec Kickoff Meeting Apr 25, 08:00 - Apr 26, 17:00 Paris France big data machine learning Data Analytics
Neural Inductive Matrix Factorization for Predicting Disease-Gene Associations Siqing Hou, M.S., Computer Science Apr 18, 10:00 - 11:30 B3 R5208 bioinformatics machine learning Disease-Gene Associations
Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Ageing and Longevity in Inbred Mouse Strains Sarah Alghamdi, Ph.D. Student, Computer Science Apr 10, 13:00 - 14:30 B9 R3120 biomedicine Ontologies data analysis semantic analysis computation techniques
Computational and Statistical Interface to Big Data Xin Gao, Program Chair, Computer Science Mar 19, 08:00 - Mar 21, 17:00 B9 L2 H2
Symbolic AI in Computational Biology Robert Hoehndorf, Associate Professor, Computer Science Mar 12, 12:00 - 13:00 B9 H1 R2322
Causality-based new drug development: Some successful cases and a new challenge Naoyuki Kamatani, MD, PhD Mar 11, 12:00 - 13:00 B2 L5 R5209 artificial intelligence biomedicine drug development
Symbolic AI in Computational Biology: Applications to Disease Gene and Drug Target Identification Robert Hoehndorf, Associate Professor, Computer Science Feb 26, 16:30 - 17:30 The University of Cambridge in the United Kingdom
Keynote Speaker | The 8th BEAR PGR Conference & Users Forum 2018 Robert Hoehndorf, Associate Professor, Computer Science Feb 23, 09:00 - 16:30 The University of Birmingham in the United Kingdom High Performance Computing cloud storage data visualisation
Keynote Presentation - The 8th BEAR PGR Conference & Users Forum 2018 Feb 23, 09:00 - 16:30 University of Birmingham United Kingdom computational analysis
Fifth KAUST-NVIDIA Workshop on Accelerating Scientific Applications Using GPUs Timothy Lanfear , Brent Leback Feb 18, 08:00 - Feb 20, 17:00 B4 B5 A0215 supercomputing
KAUST Research Workshop on Optimization and Big Data Peter Richtarik, Professor, Computer Science Feb 5, 08:00 - Feb 7, 05:00 B19 L3 H2 optimization machine learning Social Network Analysis asynchronous algorithms
Novel Computational Methods to Predict Drug–target Interactions Using Graph Mining and Machine Learning Approaches Rawan Olayan, Ph.D., Computer Science Dec 11, 10:00 - 12:00 B3 L5 R5220 bioinformatics data integration data mining graph mining machine learning
Big Data Analyses in Evolutionary Biology Dec 4, 08:00 - Dec 6, 17:00 B9 H2 big data Big data analysis evolutionary biology
Contributions to In Silico Genome Annotation Manal Kalkatawi, Ph.D., Computer Science Nov 9, 10:00 - 13:00 B3 L5 R5209 bioinformatics data mining machine learning Deep learning genomics
Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking Jun 13, 09:00 - 10:00 B1 L4 R4102 computational statistics Environmental Statistics
PCCFD - Predictive Complex Computational Fluid Dynamics David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology May 22, 08:45 - May 24, 05:00 B9 L2 H1 CFD algorithms applied mathematics numerical analysis Computer science
Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering Majed Alzahrani, Ph.D., Computer Science May 17, 15:00 - 17:00 B3 L5 R5209 data mining machine learning Computational biology
Breaking the Boundaries: from Structure to Algorithms Vadim Lozin, Professor, University of Warwick, UK Apr 17, 14:00 - 15:00 KAUST maximum independent set line graphs boundary classes of graphs
Computational Methods for ChIP-seq Data Analysis and Applications Haitham M. Ashoor, Ph.D., Computer Science Apr 10, 16:00 - 17:30 B3 L5 5209 computation techniques machine learning bioinformatics data analysis
Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics Arturo Magana Mora, Ph.D., Computer Science Apr 10, 13:00 - 15:00 B3 L5 R5209 machine learning data mining biology genetics bioinformatics
Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production by Olaa Motwalli Olaa A. Motwalli, Ph.D., Computer Science Apr 9, 16:00 - 17:00 B3 L5 R5209 machine learning bioinformatics graph mining genomics
Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds by Othman Soufan Othman Soufan, Ph.D., Computer Science Nov 16, 14:00 - 15:00 H2 B9 machine learning data mining Computational biology biomedical applications Chemical compounds visualization
Welcome at Kaust UQ School On Numerical Methods For Direct And Inverse Problems 2016 22-28 May Raul Tempone, Professor, Applied Mathematics and Computational Sciences May 22, 12:00 - May 28, 12:00 B9 H1 R2322 numerical methods stochastic differential equations statistics
Workshop on Statistical Process Monitoring and Risk Assessment for Engineering and Spatial Environmental Applications Mar 13, 09:00 - Mar 15, 15:00 B1 L4 R4102 Environmental Statistics spatial statistics
A Distributed Implementation of the Multi-resolution Approximation for Very Large Spatial Data Dorit Hammerling, National Center for Atmospheric Research (NCAR) Feb 10, 15:30 - 16:30 B1 L4 R4102 spatial statistics
Disease Risk Estimation by Combining Case-Control Data with Aggregated Information on the Population at Risk Xiaohui Chang, Assistant Professor, College of Business at Oregon State University Nov 9, 15:30 - 16:00 B1 L4 R4102 statistics
Kriging Asymptotics William Kleiber, Assistant Professor, University of Colorado Nov 9, 15:00 - 16:30 B1 L4 R4102 spatial statistics
Workshop on Computational Space-Time Statistics Oct 4, 09:45 - Oct 6, 10:45 B1 L4 R4102 Statistics of extremes Environmental Statistics
Collective Estimation of Multiple Bivariate Density Functions with Application to Angular-sampling-based Protein Structure Prediction Mehdi Moodaaliat, Assistant Professor, Marquette University Mar 10, 15:00 - 16:00 B1 statistics
Bayesian Regression Trees, Nonparametric Heteroscedastic Regression Modeling and MCMC Sampling Matthew Pratola, Assistant Professor of Statistics, The Ohio State University Nov 24, 15:00 - 16:00 B1 L2 nonparametric statistics Bayesian Statistics
Uncertainty Quantification of Tsunami Models Serge Guillas, Professor of Statistics, University College London (UCL) Sep 8, 15:00 - 16:00 B1 uncertainty quantification Environmental Statistics
Parametric Problems, Stochastic, and Identification By Prof. Hermann Matthies (ISCTUB, Germany) Prof. Hermann Matthies, Institute of Scientific Computing TU Braunschweig, Geramany Mar 6, 15:00 - 16:00 B1 R4102
Scalable Hierarchical Algorithms for eXtreme Computing Workshop David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology Apr 28, 08:00 - Apr 30, 16:00 KAUST scientific computing