mathematics

Houcem Ben Salem

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

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.

Useful Bitcoin Mining with a Matrix-based Puzzle

Cryptocurrency and blockchain technologies are increasingly gaining adoption since the introduction of Bitcoin, being distributed, authority-free, and secure. Proof of Work (PoW) is at the heart of blockchain’s security, asset generation, and maintenance. In most cryptocurrencies, and mainly Bitcoin, the “work” a miner must do is to solve a cryptographic puzzle: to find a random nonce that once (cryptographically) SHA-256 hashed with a perspective block header, returns a 32 Bytes number having a leading pre-defined number of zeros (called difficulty). This puzzle represents the PoW, and lives

The Discrete Charm of Geometry

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B9 L2 H2

How is modern mathematical teamwork carried out? The multiple award-winning film The Discrete Charm of Geometry by Ekaterina Eremenko will screen on April 3rd after the CEMSE Dean's Distinguished Lecture Discrete conformal mappings and Riemann Surfaces: Theory and Applications by Prof. Alexander I. Bobenko, Technische Universität Berlin. Following the screening, Prof. Bobenko will be available for a Q&A session.

Discrete conformal mappings and Riemann Surfaces: Theory and Applications

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B9 L2 H2

The general idea of discrete differential geometry is to find and investigate discrete models that exhibit properties and structures characterisitic of the corresponding smooth geometric objects. This is a challenging problem, since equivalent points of view in the smooth setting may lead to a number of inequivalent treatments in the discrete setting. We will illustrate the paradigm of structure-preserving discretizations on the example of conformal maps by showing how simple definitions lead to surprisingly rich theories.

Efficiency Assessment of Approximated Spatial Predictions for Large Datasets

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KAUST

Our suggested criteria are more useful for the determination of tuning parameters for sophisticated approximation methods of spatial model fitting. To illustrate this, we investigate the trade-off between the execution time, estimation accuracy, and prediction efficiency for the TLR method with intensive simulation studies and suggest proper settings of the TLR tuning parameters.

KAUST partners with McLaren Racing on R&D

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McLaren Racing and KAUST signed a five-year research and development (R&D) agreement focused on extreme performance technology. The partnership aims to advance research in the areas of computational fluid dynamics (CFD), machine learning, fuels and lubricants, advanced mathematics and sensors and electronics. "This partnership underlines our commitment to supporting global STEM advancements," said Jonathan Neale, chief operations officer of McLaren Group. "KAUST is a leading research and education institution in these fields and mirrors our core values. McLaren Racing is part of a world

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.

Margarita Akhmejanova

Florian Rist

Florian Rist is a Research Scientist at the Visual Computing Center (VCC) working with Professor Helmut Pottmann at KAUST. He is a founding member of the Center for Geometry and Computational Design at TU Vienna and currently holds a double affiliation as a research scientist at the Visual Computer Center at the King Abdullah University of Science and Technology and as a senior scientist at the Institute of Arts and Design at TU Vienna. He studied at TU Munich and the University of Technology Tokyo and is a licensed architect and member of the Chamber of Architects in Bavaria, Germany. Before

Azimkhon Ostonov

Ph.D. Student, Computer Science
Azimkhon Ostonov is a PhD candidate at King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Mikhail Moshkov in Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES). Education and Early Career Azimkhon Ostonov studied at the National University of Uzbekistan in Uzbekistan. He obtained his bachelor's degree in Applied Mathematics and Informatics in 2012 and his master's degree in Computer Systems and their Software in 2014. Azimkhon started his career as a junior programmer at Fido-Biznes in Tashkent. Then, he