modeling

Houcem Ben Salem

Intern (former), Information Science Lab
Research Intern at KAUST(King Abdullah University of Science and Technology) .

2018 Workshop on Statistics and Data Science

-

Auditorium 0215 between Buildings 4 & 5

The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes. The workshop will run from November 12-14. Talks and posters presentations will take place in Auditorium 0215 (between Buildings 4 & 5). View Workshop's Agenda.

Machine Learning Models for Context Aware Recommendation Systems

-

B3 L5 R5209

The goal of this thesis is to pave the way towards the next generation of recommendation systems tackling such real-world challenges to improve the user experience while giving good recommendations.

On mean-field game price models

-

B9 L2 H1 R2322

Abstract In this talk, we discuss a mean-field game price formation model. This model describes a large number of rational agents that can trade a commodity with an exogenous supply. The price is determined by a balance condition between supply and demand. We discuss the well-posedness of the model, the uniqueness and regularity of the price function. Then, we examine two explicit models - the linear-quadratic problem and a model with finitely many agents. Time permitting, we will examine the connections between this problem and optimal transport with constraints. Brief Biography Diogo Gomes

Eliminating Waiting Time Inequities for Deceased Donor Kidney Transplantation in the USA

-

B9 L2 H1 R2322

This research formally models, analyzes and maximizes equity of transplant waiting times and probabilities using queuing theory and network flows, based on Rawls' theory of justice. The presented formal models address inequities resulting from blood type incompatibilities, which are interrelated to ethnic differences in patient and donor rates.

Modeling and Numerics of Sorption Kinetics

-

B1 L3 R3119

An efficient method is proposed for the numerical solution of the Stokes equations in a domain with a moving bubble and two techniques for the treatment of the boundary conditions are adopted and then compared. The treatment of diffusion of surfactants (anions and cations) in presence of an oscillating bubble is an interesting interdisciplinary problem, with applications to chemistry and biology.

The KAUST 2022 Workshop on Statistics

-

B2 B3 A0215

The workshop will cover current trends in statistics and the statistical modeling of big and complex data. Over four days, it will have talks by leading experts as well as two poster sessions where students and postdocs will present their work. All talks will be given Auditorium 0215, between Buildings 2 and 3 at KAUST. Speakers Aritz Adin (Public University of Navarre) Ahmadou Alioum (Bordeaux School of Public Health) Denis Allard (INRAE) Vera Baladandayupathani (University of Michigan) Emily Hector (North Carolina State University) Eduardo Garcia Portugues (Carlos III University of Madrid)

The KAUST 2023 Workshop on Statistics

-

B18 R4203

The workshop will feature the latest research on statistical methods and modeling to address real-world challenges in health, environment, and sustainability.

Professor Meriem Laleg's research on modeling contaminant transport published in SIAM Journal on Scientific Computing

1 min read ·
A new algorithm is proposed to estimate the average velocity, dispersion coefficient, and differentiation order of a space-fractional advection-dispersion equation used for modeling contaminant transport in porous media. This allows for the characterization of the medium and the determination of the contaminant source. The algorithm is efficient, robust and fast.

Professor Meriem Laleg's research on brain response models published in Journal of Neuroscience Methods

1 min read ·
A novel approach to calibrate the hemodynamic model using functional Magnetic Resonance Imaging (fMRI) measurements.

Professor Meriem Laleg's research on membrane distillation modeling for desalination published in Desalination

1 min read ·
An accurate mathematical model is proposed to describe an emerging desalination technology called direct contact membrane distillation system. The mathematical model is important for designing efficient control and monitoring strategies, a crucial step to facilitate the commercialization of this technology.

More rain for the Red Sea if El Niño breezes in

1 min read ·
Modeling leads to a better understanding of the role El Niño plays in increasing rainfall along the coast of the Red Sea.

The Indian summer monsoon keeps the Arabian Peninsula hot and dry

1 min read ·
Modeling shows that the Indian summer monsoon can trigger heatwaves and sandstorms on the Arabian Peninsula.

KAUST Associate Professor Taous-Meriem Laleg-Kirati finalist at Leadership Excellence for Women Awards & Symposium

1 min read ·
Taous-Meriem Laleg-Kirati, KAUST associate professor of electrical engineering in the University's Computer, Electrical and Mathematical Science and Engineering Division, was selected as one of three finalists in the academic of distinction category at the recent Leadership Excellence for Women Awards & Symposium (LEWAS) in Bahrain.

KAUST Ph.D. student Jinhui Xiong wins best paper award

1 min read ·
KAUST computer science Ph.D. student Jinhui Xiong recently won the best paper award at the 24th International Symposium on Vision, Modeling, and Visualization. The symposium took place from September 30 to October 2, 2019, at the University of Rostock, Germany, and provided the opportunity for researchers to discuss a wide range of topics in computer science, including computer graphics, vision, visualization and visual analytics.

Faculty Focus: Taous-Meriem Laleg-Kirati

1 min read ·
-By A. Ortega, KAUST News KAUST Associate Professor of Electrical Engineering Taous-Meriem Laleg-Kirati joined the University in 2011 after working as a researcher at INRIA in France. Laleg-Kirati leads the Estimation, Modeling and ANalysis (EMAN) research group at KAUST, and her interests lie in control theory, system modeling and signal applications. She investigates multiple engineering disciplines and develops mathematical models and algorithms that control processes relying on real-time feedback. "My research goals [are the development of] effective estimation methods and algorithms to

Training an AI eye on the Moon

1 min read ·
Machine learning accelerates the search for promising Moon sites for energy and mineral resources.

Viruses as communication molecules

1 min read ·
Electrical and computer engineers take on complex modeling questions that can further our understanding of virus spread in small spaces.

Wildfire simulation heats up

1 min read ·
Computational models capture the capricious behavior of forest fires.

Competition sheds light on approximation methods for large spatial datasets

1 min read ·
Marc Genton, Huang Huang and colleagues from KAUST organized a global competition with 21 competing teams to compare different approximation methods for analyzing large spatial datasets.

Decrypting the interdependence of cryptocurrencies

1 min read ·
A team of KAUST statisticians has analyzed the price movements of the top five cryptocurrencies to further understand their market behavior. Their model will help investors assess the risks of investing in cryptocurrencies.

Getting the tail straight

1 min read ·
KAUST’s Extreme Statistics Group has developed an improved statistical model for analyzing environmental data of extreme events, such as heavy rainfall or strong wind data.

Finding Terra Incognita

1 min read ·
A new study addresses the difficulty in modeling atmospheric turbulence at sub-kilometer resolution, which is challenging due to atmospheric variability, meteorology and changeable terrain such as mountains and cities.

Watching viscous flow, but faster

1 min read ·
A state-of-the-art method for modeling the behavior of liquids described by the Computational Sciences Group represents a breakthrough in computational speed for viscous liquids.

A model for millions of locations

1 min read ·
CEMSE statisticians developed a framework which enables modeling of a range of meteorological and environmental datasets from up to 2 million locations globally.

Otavio Bertozzi

Research Interests Control systems and power systems engineering. Modeling, simulation, analysis and design of solutions applied to power system stability and control. Optimal and data-driven approaches to the integration of renewable energy resources. Education Profile M.Sc., Electrical and Computer Engineering, KAUST, Thuwal, Saudi Arabia, 2020 ​B.Sc., Electrical Engineering, Unesp, Bauru, Brazil, 2019 Professional Profile 2017-2018: xDSL Interoperability Testing Intern, Intel Corporation, Munich, Germany 2015: Summer Intern, Rohde & Schwarz Reference Laboratory (BME HVT), Budapest, Hungary

Matthew McCabe

Research Interests Prof. McCabe’s research focuses on issues related to water and food security, climate change impacts, precision agriculture, water resources monitoring and modeling, and the novel use of technologies for enhanced Earth system observation. The research undertaken in his group combines models and observations to answer questions on the distribution, variability and exchanges of water at local, regional and global scales, as well as the interactions with vegetation. CubeSats, unmanned aerial vehicles (UAVs) and in-situ monitoring techniques are all employed to monitor

Ivan Viola

Professor, Computer Science
Professor Viola’s expertise lies in scientific visualization and visual computing. His research focuses on multiscale visualization and modeling of complex biological systems, ranging from cellular organisms to atomistic-level details.

Evangelos Piliouras

Education and early career Evangelos received his integrated master's degree with excellency, from the department of Electrical Engineering and Computer Technology in Patras in 2018. He recently joined King Abdullah University of Science and Technology (KAUST) and he works under the supervision of Prof. Meriem Laleg in the field of estimation. Evangelos did a 3-month internship in Dialog Semiconductor as a software developer, having developed a software automation tool. Research Interests Evangelos' research interests are found in the area of biosensors, embedded system design, modeling and

Asem Alalwan

Asem Alalwan is a Ph.D. candidate in the Estimation, Modeling, and Analysis group (EMAN) supervised by Prof. Meriem Laleg at King Abdullah University of Science and Technology (KAUST). Education and Early Career Asem has graduated with a bachelor degree in Electrical Engineering from King Fahad University of Petroleum and Minerals KFUPM) in 2014. He joined KAUST in 2014 and earned his Master degree in 2016. Research Interests Asem's research is focused in the area of control and design of Free space optical (FSO) communication systems. FSO has emerged as a viable technology that offers a large