Graduate Seminar
Aug 28 - Sep 3, 2022
May 15 - May 21, 2022
May 8 - May 14, 2022
Apr 24 - Apr 30, 2022
Apr 17 - Apr 23, 2022
Enhancing mixing in binary fluids
Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST
B9 L2 H2
Apr 10 - Apr 16, 2022
Biomedical research: a world of statistical challenges
Prof. David Gomez-Cabrero, Biological, Environmental Science and Eng, KAUST
B9 L2 H2
Geospatial Data Science for Public Health Surveillance
B9 R2322 H1
Apr 3 - Apr 9, 2022
Organic Electronics for Diagnostics in Physiological Media
Prof. Sahika Inal, Biological, Environmental Science and Engineering, KAUST
B9 L2 H1
Mar 27 - Apr 2, 2022
The Best of Both Worlds: Distributed PCA That is Both Exact and Communication Efficient
Prof. Waheed Bajwa, Electrical and Computer Engineering, Rutgers University-New Brunswick
B9 L2 R2322 H1
Mar 20 - Mar 26, 2022
Mar 13 - Mar 19, 2022
Making Autonomous Driving more Reliable using Live 3D Digital Twins
Fawad Ahmad, PhD Candidate, Computer Science Department, University of Southern California
KAUST
Mar 6 - Mar 12, 2022
Feb 27 - Mar 5, 2022
Filling the Resources Gap with Approximate Mobile Computing
Veljko Pejović, Assistant professor at the Faculty of Computer and Information Science (UL FRI), University of Ljubljana, Slovenia
B9 R2322 H1
Feb 20 - Feb 26, 2022
Feb 13 - Feb 19, 2022
Feb 6 - Feb 12, 2022
Procedural Modeling of Botanical Trees
Wojtek Palubicki is leading the Natural Phenomena Modeling Group at the Faculty of Mathematics and Compter Science at the Adam Mickiewicz University in Poznan.
KAUST
Jan 30 - Feb 5, 2022
Jan 23 - Jan 29, 2022
Backward induction: from theory to empirics
Konrad Grabiszewski, Instructional Professor, Applied Mathematics and Computational Sciences
KAUST
Dec 5 - Dec 11, 2021
Deploying DNNs in the Embedded Space: Challenges and Opportunities
Christos-Savvas Bouganis, Reader in Intelligent Digital Systems in the Department of Electrical and Electronic Engineering, Imperial College London, UK
B9 R2322 H1
Nov 28 - Dec 4, 2021
Exploiting Spatial-Temporal Graph Structure in the Data for Better EEG Source Imaging
Feng Liu, Assistant Professor, School of Systems and Enterprises at Stevens Institute of Technology
KAUST