Profiles
Students
Biography
Luca is currently a PhD candidate in the Applied Mathematics and Computational Sciences department at KAUST. Additionally, he is pursuing a dual PhD degree in Aeronautical Engineering at Politecnico di Milano. He obtained his M.Sc. in Aeronautical Engineering and his B.Sc. in Aerospace Engineering from Politecnico di Milano.
Research Interests
Luca's research focuses on developing computational techniques for aeroacoustics and aerodynamics. In particular, he investigates high order methods for the noise prediction of Urban Air Mobility vehicles in complex scenarios.
Education
Biography
Najwa Alshehri is a dedicated Saudi researcher with a strong background in numerical analysis. Her academic journey began with a Bachelor of Mathematics from King Faisal University, where she graduated with honors. Supported by the prestigious King Abdullah Scholarship Program (KASP), she pursued her Master's in Applied and Computational Mathematics at Old Dominion University, USA, followed by a graduate certificate in modeling and simulation.
Najwa is a PhD candidate in Applied Mathematics and Computational Sciences at King Abdullah University of Science and Technology (KAUST), supervised by Professor Daniele Boffi. Najwa received a full governmental scholarship from the Royal Commission of Jubail and Yanbu. She also received the CEMSE Dean's List award for exceptional academic achievements and dedication to research work at KAUST. Alongside her studies, she is serving as president of the SIAM Student Chapter at KAUST.
Research Interests
Najwa's research focuses on the numerical approximation of partial differential equations, specifically, in fluid dynamics and interface problems such as fluid-structure interactions. Her expertise lies in finite element methods and mixed finite elements.
Biography
Xiaofeng Xu is a Ph.D. candidate in the AMCS program at KAUST, under the supervision of Professor Jinchao Xu. His research lies at the intersection of traditional numerical methods for partial differential equations (PDEs) and modern machine learning approaches. He is particularly interested in developing efficient and provably convergent training algorithms for neural networks in numerical PDEs.
Xiaofeng received his Bachelor's degree in Mathematics and Computer Science with First Class Honors from the Hong Kong University of Science and Technology (HKUST), and his Master’s degree from the Pennsylvania State University.
Research Interests
Xiaofeng Xu research focuses on the intersection of traditional numerical methods for partial differential equations (PDEs) and modern machine learning approaches. He is particularly interested in developing efficient and provably convergent training algorithms for neural networks in numerical PDEs.
Biography
Xiuping Wang is a Ph.D. candidate in the Computational Transport Phenomena Lab and Scientific Computing and Machine Learning Lab at King Abdullah University of Science and Technology (KAUST). His research interests include designing robust and efficient numerical algorithms for electronic structure calculation and fluid flow in porous media.
Yousef Alamri
- Ph.D. Student, Applied Mathematics and Computational Sciences
Biography
Zahrah Alnasser obtained her bachelor's degree from Dammam College for Women and her master's degree in pure mathematics from the University of Illinois - Urbana-Champaign.
Research Interests
Real analysis and applied PDEs.
Education
Alumni
Biography
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.
Research Interests
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.
Education
Chandra Prasetyo Utomo
- M.S. Student, Computer Science
Enas Mohammad Odat
- M.S. Student, Computer Science
Fabio Credali
- Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
Joakim Beck
- Research Scientist, Stochastic Numerics Research Group
Malek A. Mahayni
- M.S. Student, Computer Science
Monther Ibrahim Busbait
- M.S. Student, Computer Science