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.
KAUST has announced the latest recipients of the Ibn Rushd Fellowship Program, which supports early-career Saudi scientists for up to three years of postdoctoral research at international institutions. Fellows Abdullah Alghamdi and Abdulrahman M. Alfaraidi will conduct research at UC San Diego and Lawrence Berkeley National Laboratory, respectively. Their research aligns with Saudi Arabia’s health, wellness, and energy priorities while maintaining ties with KAUST. Why it matters: This fellowship program helps develop talent in priority fields and elevates the profile of Saudi academia, contributing to Saudi Vision 2030.
Dr. Abdullah Alghamdi, President of the Saudi Data and AI Authority (SDAIA), is slated to represent Saudi Arabia at the upcoming India AI Impact Summit. His participation underscores Saudi Arabia's dedication to engaging in global AI discussions and fostering international cooperation in the field. The summit is designed to convene global leaders to deliberate on the broad impact and future trajectory of artificial intelligence. Why it matters: Saudi Arabia's high-level representation at this international event highlights its strategic emphasis on advancing national AI capabilities and cultivating international collaborations.
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 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.
Ahmad Alabdulghani, a KAUST master's student in Energy Resources and Petroleum Engineering, is studying fluid flow mechanisms in heterogeneous media under the supervision of Professor Hussein Hoteit. Alabdulghani is a member of the Advanced Reservoir Modeling and Simulation (ARMS) research group at ANPERC. He previously worked at Saudi Aramco's EXPEC Advanced Research Center and aims to pursue a doctorate at KAUST. Why it matters: This highlights KAUST's role in developing Saudi talent for the energy sector and fostering collaboration between academia and industry.
Nawaf Alghamdi, a KAUST M.S./Ph.D. student in chemical engineering, researches catalysis for upgrading low-value feedstocks. He was awarded a Grants Program for Universities and Research Centers (GPURC) grant from KACST and won first place at the Middle Eastern Process Engineering Conference & Exhibition technical debates. Alghamdi aims to use his time at KAUST to grow both personally and professionally, and to build a competitive research portfolio. Why it matters: Showcases KAUST's support for student research and highlights opportunities for students in science and engineering.
KAUST's Sami Al-Ghamdi is conducting multidisciplinary research on urban sustainability to mitigate climate change and optimize resource consumption. His work supports Saudi Arabia’s Vision 2030, particularly urban gigaprojects like NEOM and Saudi Downtown. He develops computational models to assess the environmental impact of various aspects of the built environment. Why it matters: This research is crucial for advancing sustainable urban development in Saudi Arabia and achieving its ambitious environmental goals.