Fethi Khaled, a mechanical engineering Ph.D. student at KAUST's Clean Combustion Research Center (CCRC), is researching fuel combustion with a focus on cleaner, safer, and more efficient energy sources. His work in the Chemical Kinetics and Laser Sensors Laboratory under Professor Aamir Farooq involves studying the science of combustion and different energy sources like fossil and solar energy. Khaled aims to contribute to inventing new combustion engine modes that are more efficient and produce less or zero pollutants. Why it matters: This research aligns with Saudi Arabia's broader goals of promoting sustainable energy solutions and reducing reliance on traditional fossil fuels, contributing to environmental sustainability and economic diversification.
KAUST Ph.D. student Adel Bibi is researching how to bridge the gap between theory and practice in deep learning, focusing on the mathematical understanding of deep learning models. Bibi is currently interning at Intel in Munich and previously worked on various computer vision problems. He aims to use optimization and mathematics to better understand deep learning models and build better models systematically from theory. Why it matters: This research contributes to the fundamental understanding of deep learning, potentially leading to more efficient and reliable AI systems developed in the region.
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.
Ghada Ahmed, a fourth-year Ph.D. student at KAUST's Solar Center, researches semiconductor nanocrystals under the supervision of Assistant Professor Omar Mohammed. Her work focuses on the colloidal synthesis of quantum dots and nanocrystals with controlled sizes and shapes. She aims to understand photogenerated charge carrier dynamics and reaction mechanisms to optimize energy-efficient devices. Why it matters: This research contributes to advancements in materials science and renewable energy technologies within the Kingdom.
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.