Professor Omar Knio, Dean of the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division at KAUST, has been named a 2026 SIAM Fellow. This prestigious recognition from the Society for Industrial and Applied Mathematics honors his leadership in uncertainty quantification and multiscale mathematics. His research areas include applications in combustion, energetic materials, geophysical fluid dynamics, high-performance computing, and data-enabled predictive science. Why it matters: This recognition highlights KAUST's global standing in applied mathematics and computational science, reinforcing its role as a hub for scientific talent and interdisciplinary research crucial for advanced technological development in Saudi Arabia.
The Technology Innovation Institute (TII) in Abu Dhabi has successfully designed, built, and test-fired the UAE’s first liquid rocket engine, a 250-newton thruster. The engine achieved combustion efficiencies of up to 94% during testing, with over 50 successful firings. The program aims to scale propulsion designs and develop advanced engine technologies. Why it matters: This milestone strengthens the UAE's sovereign space capabilities and enables the design of propulsion systems for orbital maneuvering and future space missions.
KAUST has selected HPE to build "Shaheen III", a next-generation supercomputer using the HPE Cray EX platform. Shaheen III will be 20 times faster than KAUST's existing system, making it the most powerful supercomputer in the Middle East. The system will support research in areas like clean combustion, Red Sea ecosystems, and climate events. Why it matters: This infrastructure investment will significantly boost AI and scientific computing capabilities in the region, enabling KAUST to tackle complex research challenges.
KAUST and McLaren Racing have announced a five-year research partnership focused on R&D and extreme performance technology for Formula 1 cars. The collaboration will leverage KAUST's expertise in areas like sensors, electronics, numerical simulations, and fuel/engine combustion research. KAUST researchers will develop new experimental methods, mathematical models, and train students to understand complex systems. Why it matters: This partnership allows KAUST to apply its research to a real-world laboratory (Formula 1), fostering innovation in fuel technology, combustion, sensors, and algorithms with potential spillover effects for the broader automotive and engineering sectors in the region.
KAUST and GE have partnered to study the feasibility of using crude oils like Arabian Super Light (ASL) to power heavy-duty gas turbines. The collaboration aims to develop turbines capable of burning crude oil directly from the ground to meet Saudi Arabia's energy security needs. The research involves building a rig at KAUST's High Pressure Combustion Laboratory (HPCL) to conduct corrosion tests on turbine materials by burning ASL/AXL crude continuously for 2,000 hours. Why it matters: This partnership could reduce reliance on natural gas and offer an economically viable alternative fuel source, bolstering energy security in Saudi Arabia and potentially influencing turbine technology worldwide.
Omar Knio, Dean of the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division at KAUST, has been named a 2026 SIAM Fellow. He received this honor from the Society for Industrial and Applied Mathematics (SIAM) for his leadership in uncertainty quantification and multiscale mathematics. His research applies to fields such as combustion, energetic materials, and geophysical fluid dynamics. Why it matters: This recognition highlights KAUST's and Saudi Arabia's growing contributions to global scientific talent and interdisciplinary research in applied mathematics and computational science.
KAUST and the Arabian Petroleum Supply Company (Apsco) have signed a material transfer agreement for Apsco to supply KAUST with sustainable aviation fuel (SAF). KAUST researchers will study the fuel's chemical properties, reaction pathways, and combustion behavior to develop models for future SAF formulations. The research aims to address critical knowledge gaps in SAF adoption, such as emissions behavior and performance across operating environments. Why it matters: The partnership supports Saudi Arabia's aviation sector's move towards lower-carbon solutions and the development of domestic SAF technologies.
This paper introduces a longitudinal control system for autonomous racing vehicles with combustion engines, translating trajectory-tracking commands into low-level vehicle controls like throttle, brake pressure, and gear selection. The modular design facilitates integration with various trajectory-tracking algorithms and vehicles. Experimental validation on the EAV24 racecar during the Abu Dhabi Autonomous Racing League at Yas Marina Circuit demonstrated the system's effectiveness, achieving longitudinal accelerations up to 25 m/s². Why it matters: This research contributes to the advancement of autonomous racing technology in the region, showcasing practical applications in high-performance scenarios and fostering innovation in vehicle control systems.