Profiles

Anass B. El-Yaagoubi is a postdoctoral researcher in Statistics in the Biostatistics research group led by Professor Hernando Ombao at KAUST. His research focuses on statistical methods for analyzing complex data, including brain signals and other high-dimensional datasets.

His work explores approaches for modeling and understanding patterns in multivariate data, with applications in neuroscience and other fields that rely on the analysis of large and complex datasets.

• Topological ranking.
• Data analysis.
• Brain signals .
• Generative Adversarial Networks .
• Topological ranking.

Anna Talgat is currently a Ph.D. candidate in Applied Mathematics and Computational Sciences at KAUST. She earned her B.S. in Mathematics from Fatih University, Istanbul, with high honors and a full scholarship. Anna continued her studies at KAUST, completing her M.S., focusing on stochastic geometry-based analysis of LEO satellite communication systems. Her early career includes an internship at Cambridge University’s DAMTP and teaching mathematics at Galaxy International School in Kazakhstan. Additionally, she was a Graduate Teaching Assistant at KAUST, supporting academic development and enhancing teaching methodologies.

Anna Talgat's research interests primarily focus on stochastic geometry and its applications in communication systems. Specifically, her work includes the stochastic geometry-based analysis of LEO satellite communication systems, performance analysis and optimization of wireless communications, and enhancing the efficiency and reliability of these networks. Her research aims to advance the understanding and development of satellite communication networks, which are critical for various applications, including IoT (Internet of Things) and secure data transmission in space communications.