applied mathematics

Peter Schmid

​Professor Schmid's research interests are in theoretical and computational fluid dynamics, with emphasis on hydrodynamic stability theory, flow control, model reduction and system identification. He is also interested in computational techniques for flow optimization and quantitative flow analysis.

Applied Mathematics School 2024

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The KAUST Applied Mathematics School is a 1-week visiting program aiming to introduce undergraduate and master's students to special research topics focusing on key areas in applied mathematics and computational science.
Rihab Larayedh

Rihab Larayedh

Dedicated researcher in underwater acoustics , specifically investigating shipping noise from vessels, to enhance our understanding of its environmental impact and develop strategies for noise mitigation

PCCFD - Predictive Complex Computational Fluid Dynamics

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B9 L2 H1

The PCCFD workshop will focus on cutting-edge research in the field of algorithmic development for CFD and multi-scale complex flow simulations.

Numerical Approximation of the Stochastic Cahn-Hilliard Equation and the (Stochastic) Hele-Shaw Problem

B1 L2 R2202

The Cahn-Hilliard equation is a fourth order parabolic partial differential equation (PDE) that is widely used as a phenomenological model to describe the evolution of interfaces in many practical problems, such as, the microstructure formation in materials, fluid flow, etc. It has been observed in the engineering literature that the stochastic version of the Cahn-Hilliard equation provides a better description of the experimentally observed evolution of complex microstructure.

Modelling and Simulation of Biological Systems - 2022-11-28

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B2 L5 R5209

Biological systems are distinguished by their enormous complexity and variability. That is why mathematical modelling and computational simulation of those systems is very difficult, in particular thinking of detailed models which are based on first principles. The difficulties start with geometric modelling which needs to extract basic structures from highly complex and variable phenotypes, on the other hand also has to take the statistic variability into account.

Making the silent genes speak

1 min read ·
Regulating an overlooked set of genes may help biologists manipulate cells to find new therapy options.

Taking computing to the next level

1 min read ·
KAUST’s new supercomputer will enable ground-breaking scientific modeling and analysis in Saudi Arabia and worldwide.

Finding the Face in the Crowd

1 min read ·
An algorithm that maximizes the difference between data categories achieves high accuracy in classifying faces.

Taking the guesswork out of experimental design

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

Honey bee behavior is in the genes

1 min read ·
An integrated set of genetic mechanisms controls whether bees behave as foragers or nurses.

The role of applied mathematics in finance

1 min read ·
“Sometimes there’s a strange dichotomy between applied mathematics and pure mathematics,” said Professor Raul Tempone, a founding KAUST faculty member and principal investigator of the University's Stochastic Numerics Research Group. “People think that applied math is simply the application of theory.” The argument is that applied math is just classified by its ends in the sense that one is trying to solve a real problem. Tempone argues that this doesn’t mean that new theories don’t need to be created. It also does not mean that the kinds of problems are less challenging than the ones faced in

Bringing computational engineering into the fold

1 min read ·
An interactive computational tool opens new possibilities for "developable" surfaces.

Aesthetic patterns for freeform architecture

1 min read ·
Planar designs are used to model complex curved surfaces, with applications from architecture to 3D prints.

Faster prediction of wireless downtime

1 min read ·
An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.

A clearer view of rainfall patterns

1 min read ·
Improved random modeling allows scientists to generate realistic patterns of high-frequency rainfall.

Getting a handle on extremes

1 min read ·
By tapping into the power of extreme value theory, an international team of researchers including Raphaël Huser from the University's Computer, Electrical and Mathematical Science and Engineering Division has developed a statistical model that overcomes the shortcomings of previous schemes to provide a reliable basis for climate research and the prediction of drought and flood. The model can accurately describe observed rainfall data and reliably predict the likelihood of future extreme events. The analysis of hourly or daily rainfall data presents many challenges for researchers and

Making space for climate simulations

1 min read ·
A statistics-based data compression scheme cuts data storage requirements for large-scale climate simulations by as much as 98 percent.

Enhancing understanding of genetic regulation

1 min read ·
Researchers round up clues to track down enhancers.

Filling in the blanks of virtual cities

1 min read ·
New software generates three-dimensional models of buildings, with applications for disaster relief support.

Tunable sound transmission shapes up

1 min read ·
Carefully designed crystal structures can now be tuned to control how they transmit acoustic waves.

Color-changing coatings ready for the big time

1 min read ·
The dazzling colors of peacock feathers arise from the physical interaction of light with biological nanostructures. Researchers have discovered how to exploit this natural trickery known as structural coloration into a large-scale printing technology that produces lightweight and ultraresistant coatings in any color desirable.

Getting the jump on industrial failures

1 min read ·
A statistics-driven method for the early detection of emerging problems in industrial processes could improve industrial safety, reliability and productivity.

Assessing Red Sea potential for alternative energy

1 min read ·
Advanced numerical models are helping researchers identify potential sites to exploit offshore wind and wave energy in the Red Sea region.

Keeping antennas at peak performance

1 min read ·
Sensitive detection of partial faults in antenna systems could prevent performance degradation in wireless networks.

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.

A safe sweep of weather data

1 min read ·
A statistical technique for automatically cleaning erroneous data from weather-balloon observations will improve the accuracy of weather forecasting.

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.

Blind matchmaking for more efficient wireless networks

1 min read ·
Autonomously pairing network users could expand the capability of the next generation of wireless networks

Signaling success for 5th gen communications

1 min read ·
An efficient wireless signal optimization scheme achieves peak performance for next-generation mobile communications.

Getting a visual on complex data

1 min read ·
A new method for visually presenting complex data distributions provides a much-needed tool for management, analysis and interpretation.

Tiny speakers break a barrier for sound

1 min read ·
A loudspeaker design could allow small devices to produce powerful low-frequency sounds.

Making loudspeakers resonate like atoms

1 min read ·
Tiny loudspeakers can efficiently produce low-frequency sounds due to effects similar to the quantum physics governing atoms.

Better racing car design through an industry partnership

1 min read ·
The Formula 1 race track is the ultimate testbed for a KAUST researcher's latest work.

Cutting datasets down to size

1 min read ·
A powerful statistical tool could significantly reduce the burden of analyzing very large datasets.

A clique away from more efficient networks

1 min read ·
An old branch of mathematics finds a fertile new field of application.

Unleashing the potential of tethered drones

1 min read ·
Wire-connected drones may complement or replace the fixed base stations of cellular communications networks.

Quieter wind beneath the wings

1 min read ·
The ability to efficiently simulate the noise generated by wings and propellers promises to accelerate the development of quieter aircraft and turbines.

Keep the data coming

1 min read ·
A continuous data supply ensures data-intensive simulations can run at maximum speed.

Mathematician Peter Markowich named 2022 AMS Fellow

1 min read ·
KAUST Distinguished Professor of Applied Mathematics and Computational Science Dr. Peter Markowich joins 45 mathematical scientists from around the world named 2022 Fellows of the American Mathematical Society (AMS) program.

Professor Athanasios Tzavaras elected Fellow of the European Academy of Sciences (EurASc)

1 min read ·
Athanasios (Thanos) Tzavaras has been elected Fellow of the European Academy of Sciences (EurASc). He was nominated for his contributions to the interface of nonlinear partial differential equations and applied mathematics in the physical sciences.

Rolf Krause

Professor Rolf Krause is an experienced researcher and educator specializing in designing and analyzing algorithms to solve complex problems in scientific computing and machine learning.

Mohammed Sayyari

Mohammed is a Mathematician with a solid background in scientific programming. Mohammed's mathematical interests are in the analysis of partial differential equations and the discretization thereof.

Linda Alzaben

Linda Alzaben is a Ph.D. candidate in Applied Mathematics and Computational Science. Linda has a Bachelor's and a Master's degree, both in pure Mathematics, from King Abdulaziz University. In both her B.Sc. and M.Sc. she was first-class honors. Although she had been teaching for several years she decided to pursue her postgraduate studies in an engaging and interesting field at KAUST. She seized the opportunity to study and work under the supervision of Professor Daniele Boffi who is a distinguished professor in his field. Her main interest are in Finite elements and Mixed Finite elements and

Jinchao Xu

Professor Xu is widely recognized as a leading figure in developing, designing and analyzing fast methods for finite element discretization and large-scale equation solutions.

Georgiy L. Stenchikov

Professor Stenchikov's research interests are in multi-scale modeling of environmental processes and numerical methods; global climate change, climate downscaling, atmospheric convection; assessment of anthropogenic impacts and geoengineering; air-sea interaction, evaluating environmental consequences of catastrophic events like volcanic eruptions, nuclear explosions, forest and urban fires; and air pollution, transport of aerosols, chemically and optically active atmospheric tracers, their radiative forcing and effect on climate.

Aimad ER-RAIY

Aimad Er-Raiy joined the Extreme Computing Research Center (ECRC) at King Abdullah University of Science & Technology (KAUST) as a postdoctoral fellow in late 2019. He is working with Professor Matteo Parsani. Prior to this, he spent a year as a Postdoctoral Research Fellow in CERFACS (Toulouse, France). Education and Early Career Dr. Er-Raiy received a MSc. (2014) from the National Institute of Posts and Telecommunications (INPT) in Toulouse, France, and a Ph.D. (2018) from Institut Pprime & National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA) in Poitiers (France). Research