Events
Jan 30 - Feb 5, 2022
Jan 23 - Jan 29, 2022
Modulating Functions Based State and Parameter Estimation for Robotic Systems
Matti Noack, Research Fellow, Control Engineering, Technische Universität Ilmenau
B1 L4 R4214
Backward induction: from theory to empirics
Konrad Grabiszewski, Instructional Professor, Applied Mathematics and Computational Sciences
KAUST
Designing a Stable Periodic Orbit for a Triple Pendulum on a Cart
Prof. Johann Reger, Automation and Systems Engineering, Technische Universität Ilmenau
B1 L4 R4214
Elliptic PDEs: Regularity under minimal assumptions - Part 1
Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy
B1 L4 R4102
Jan 16 - Jan 22, 2022
Jan 9 - Jan 15, 2022
Dec 19 - Dec 25, 2021
Dec 12 - Dec 18, 2021
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
From Intrusion Tolerance to Trust and Recovery: A Research Overview
Professor Miguel Correia, Computer Science and Engineering Department, Instituto Superior Técnico, Universidade de Lisboa
B9 L3 R3223
Robust high temperature operation of quantum dot lasers grown on (001) Si for Photonic Integrated Circuit
Chen Shang, PhD candidate, University of California, Santa Barbara
KAUST
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
Secure Dynamic Skyline Queries Using Result Materialization
Gabriel Ghinita, Associate Professor, University of Massachusetts, Boston
B9 L2 R2322
Semiparametric Regression Models for Between and Within-subject Attributes: Applications to High-Dimensional Data, Asymptotic Efficiency and Beyond
Jinyuan Liu, PhD Student, Biostatistics, University of California, USA
KAUST
Nov 21 - Nov 27, 2021
KAUST Saudi National Kidney Paired Donation Workshop
B3 L5 R5220
Is probability theory the only viable solution to modelling statistical information?
Prof. Jeremie Houssineau, Department of Statistics, University of Warwick.
KAUST
Nov 14 - Nov 20, 2021
Nov 7 - Nov 13, 2021
Lessons Learned In Building Trustworthy Systems with Trusted Execution Environments
Valerio Schiavoni, Scientific Coordinator and Lecturer, Centre of Competence for Complex Systems and Big Data, University of Neuchâtel
B9 L3 R3223
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference In Diffusion Models
Prof. Alexandros Beskos, the Dept of Statistical Science, University College London (UCL)
KAUST
On Recently Developed Non-Gaussian Priors and Sampling Methods with Application to Industrial Tomography
Prof. Lassi Roininen, Applied Mathematics, LUT University
B1 L4 R4214
BioAI – Facts, Fiction, and the Future
Jesper Tegner, Professor, Computer Science, KAUST
B9 R2322 H1
Oct 31 - Nov 6, 2021
Joint modeling of dependent diverse format data: A review from several case-studies
Giovani Silva, PhD in Mathematics (IST) at the University of Lisbon
KAUST