Rayan Tarek Alamoudi, a KAUST master's student in biological sciences, is researching under Professor Pierre Magistretti. Alamoudi believes his bioscience studies at KAUST will open opportunities aligned with Saudi Vision 2030. Interacting with diverse fellow students has enriched his educational experience at KAUST. Why it matters: This highlights KAUST's role in developing local talent in scientific research and aligns with Saudi Arabia's Vision 2030 goals for scientific advancement.
KAUST Ph.D. student Reem Alghamdi is working at the KAUST Catalysis Center to improve the quality of industrially used polyethylene. Her research focuses on synthesizing a nanocomposite of polyethylene and nanomaterials to reinforce industrially made polymers, improving their mechanical characteristics. The resulting hybrid organic-inorganic product minimizes manufacturing defects, enhancing hardness. Why it matters: This research has the potential to significantly improve the durability and performance of polymer products across various sectors, from automotive to construction, impacting numerous industries in the region and beyond.
KAUST Ph.D. student Mohammed Al-Alouni is researching the conversion of crude oil to petrochemicals, working in the Advanced Membranes & Porous Materials Center and the Catalysis Center under Professor Yu Han. His work focuses on converting simple molecules into more complex and economically viable ones, inspired by the scientific approach of Jabir ibn Hayyan. Al-Alouni previously worked at Saudi Aramco and graduated from KFUPM with a bachelor's degree in 2014. Why it matters: This highlights KAUST's role in fostering advanced research in petrochemicals and materials science, crucial for Saudi Arabia's economic diversification efforts.
KAUST Ph.D. student Maha Alamoudi won a best poster award at the 2016 Materials Research Society (MRS) Fall Meeting in Boston. The award was for her poster entitled “Photophysical Processes in Polymer:Non-fullerene Small Molecule Acceptor Bulk Heterojunctions for Organic Solar Cells.” She is supervised by Frederic Laquai, associate professor of material science and engineering at KAUST's Solar Center. Why it matters: This award recognizes promising research in materials science at KAUST.
KAUST Ph.D. student Maha Alamoudi received the "ICSM Best Poster Prize" at the International Conference on Science and Technology of Synthetic Metals 2018 in Busan, Korea. Her poster focused on the impact of IDT-based structures on the photophysics and performance of polymer solar cells. Alamoudi's research investigates how the chemical structure of acceptor molecules influences organic solar cell performance. Why it matters: The research contributes to understanding the relationship between chemical structure, morphology, and efficiency in organic solar cells, potentially leading to the development of more efficient solar energy materials.
KAUST Ph.D. student Mohammed Aljahdali received the Best Paper award at the International Conference on Federated Learning Technologies and Applications (FLTA) 2025 for his research on federated learning. His paper, "Flashback: Understanding and Mitigating Forgetting in Federated Learning," introduces an algorithm to help AI systems retain knowledge across diverse datasets while preserving privacy. Aljahdali's research, supervised by Professor Marco Canini, focuses on training machine learning models directly on user devices. Why it matters: This award recognizes the growing talent and impactful research emerging from Saudi universities in the field of privacy-preserving AI.
The Symposium on Data Mining and Applications (SDMA 2014) was organized by MEGDAM to foster collaboration among data mining and machine learning researchers in Saudi Arabia, GCC countries, and the Middle East. The symposium covered areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. Acceptance was based on originality, significance and quality of contribution.
Abdullah Hamdi, a Ph.D. student at KAUST, is researching AI, deep learning, and computer vision in the Image and Video Understanding Lab under Associate Professor Bernard Ghanem. His work focuses on developing reliable testing methods for deep learning tools, particularly for sensitive applications like self-driving vehicles. Hamdi aims to disseminate AI knowledge and contribute to the AI ecosystem in the region. Why it matters: This highlights KAUST's role in fostering local AI talent and contributing to critical research areas like autonomous vehicles, aligning with Saudi Arabia's broader technology goals.