Profiles

KAUST alumna Dr. Rabab Alomairy earned both her M.S. and Ph.D. in computer science from the King Abdullah University of Science and Technology (KAUST) under the supervision of Professor David E. Keyes and Senior Research Scientist Hatem Ltaief. She is currently a postdoctoral fellow at MIT’s JuliaLab and a recipient of the KAUST Ibn Rushd Fellowship.

Her research spans high-performance computing (HPC), task-based numerical libraries, GPU programming and AI-accelerated scientific applications, with emphasis on performance optimization for multicore and many-core architectures. Dr. Alomairy has collaborated with leading institutions, including Oak Ridge National Laboratory, the Innovative Computing Laboratory at the University of Tennessee and MINES ParisTech, contributing to the DOE-funded SLATE project during her internship at UTK.

In recognition of her impactful work, Dr. Alomairy was named a Rising Star in Computational and Data Sciences by the U.S. Department of Energy in 2022. She also led the first Julia tutorial for productive HPC at the Supercomputing Conference. Her work has scaled across the world’s top supercomputers and earned international honors, including a finalist recognition for the ACM Gordon Bell Prize (2020), the Gauss Award and the IEEE Computer Society Technical Community on High Performance Computing (TCHPC) Early Career Researchers Award for Excellence in High Performance Computing (2025).

Dr. Alomairy continues to advance sustainable computation and foster collaboration across disciplines, translating advances in HPC and AI into real-world impact.

• Task-based numerical libraries and applications
• Performance optimizations
• Artificial intelligence at large scale
• Dense linear algebra

Sebastian Celis Sierra is a Ph.D. candidate in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), where he develops advanced integral-equation solvers for the accurate simulation of electromagnetic metasurfaces. He holds an M.S. in Electrical Engineering (2018–2020) from KAUST and dual B.Eng. degrees in Electrical/Power Engineering and Electronics Engineering (2014–2018) from Universidad de los Andes, Bogotá.

Sebastian's research focuses on formulating and implementing surface and volume integral-equation methods in both the time and frequency domains to capture complex electromagnetic behavior in arbitrarily shaped metasurfaces. By coupling these formulations with generalized sheet transition conditions (GSTCs), he aims to achieve both numerical efficiency and physical fidelity. His work advances the theoretical foundations and practical computational tools necessary for the next generation of communication systems.