computing

The two faces of correlation

-

KAUST

Discussing the concept of correlation and how to interpret it alone (marginally) or within a more complex environment (conditionally). This rather simple observation is the key observation behind a lot of exciting developments and connections in statistics that can be leveraged for improved computations and better motivated statistical models.

Communications, Computing, and Security for the Internet of Things Era and Beyond

-

B1 L3 R3119

This talk will first discuss the communications, computation, and security challenges for the IoT era and motivate a systematic methodology to address them. The talk will then overview some relevant problems and their potential solutions. Future research direction will also be highlighted.

Taking the guesswork out of experimental design

1 min read ·
A fast computational method optimizes sensor measurement networks for noisy, sparsely observed environments.

Disease researchers have a way with words

1 min read ·
Specialized word search method sheds light on phenotypic similarity of diseases.

Divide and conquer pattern searching

1 min read ·
Searching for recurring patterns in network systems has become a fundamental part of research and discovery in fields as diverse as biology and social media. KAUST researchers have developed a pattern or graph-mining framework that promises to significantly speed up searches on massive network data sets. “A graph is a data structure that models complex relationships among objects,” explained Panagiotis Kalnis, leader of the research team from the KAUST Extreme Computing Research Center. “Graphs are widely used in many modern applications, including social networks, biological networks like

Taking graphics cards beyond gaming

1 min read ·
A highly efficient mathematical solver designed to run on graphics processors gives scientists and engineers a powerful new tool for a common computational problem.

Giving power to demand-driven electricity

1 min read ·
A new approach to analyzing household electricity: smart-meter data could improve the performance and efficiency of national power grids.

Improving connections for spatial analysis

1 min read ·
A statistical model that accounts for common dependencies in spatial data yields more realistic results for studies of temperature, wind and pollution levels.

One bad apple can spoil a robot swarm

1 min read ·
Coordinated robot swarms can achieve amazing feats, but even a single faulty unit can have serious consequences.

Zooming in on brain function

1 min read ·
Faster computations will allow researchers to see the finer details of brain activity in functional brain imaging.

Point patterns help to predict landslides

1 min read ·
Rainfall simulations in statistical models could allow accurate prediction of dangerous landslides.

Jesper Karlsson

Postdoctoral Research Fellow, Stochastic Numerics Research Group
Jesper Karlsson worked as a Postdoctoral Fellow at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Jesper's research interests included Adaptivity and error control for the approximation of deterministic and stochastic differential equations, Optimal control for deterministic and stochastic differential equations, Numerical analysis, and Large scale/High capacity computing. Education Profile ​​​​2003-2008 Doctorate, Department of Numerical Analysis, Royal Institute of Technology (KTH), Stockholm