KAUST highlights postdoctoral fellows Yi Jin Liew, Isabelle Schulz, Maren Ziegler and Neus Garcias Bonet outside the University Library. The article mentions King Abdullah bin Abdulaziz Al Saud (1924 – 2015). It encourages applications to KAUST's Discovery Postdoctoral program. Why it matters: This brief announcement signals KAUST's ongoing investment in attracting international research talent to Saudi Arabia.
KAUST President Jean-Lou Chameau spoke at The Atlantic's "What's Next?" event in Chicago on October 4th. He highlighted KAUST's role as a global science and technology university and its efforts in graduate education, research, and entrepreneurship. Chameau discussed KAUST's Li-Fi research and climate change studies in the Red Sea. Why it matters: The participation of KAUST in such international events helps to raise the university's profile and showcase its contributions to science and technology.
Climber, author, and wingsuit pilot Steph Davis spoke to the KAUST community on January 15 as part of the 2017 Winter Enrichment Program. The event was captured in photos by Lilit Hovhannisyan. The program was held at King Abdullah University of Science and Technology. Why it matters: Such enrichment programs can broaden the horizons of the KAUST community.
KAUST is developing a phased reopening plan in response to the COVID-19 pandemic. The plan addresses the gradual return of operations, including laboratories, innovation ecosystem, students, faculty, and staff. It aims to balance community protection with minimizing disruption, focusing on a phased approach to a "new normal." Why it matters: This signals a move towards resuming research activities and on-site work at a leading Saudi research institution, impacting the pace of AI and technology development in the Kingdom.
Gregory Chirikjian presented an overview of research on robot navigation in unstructured environments, using computer vision, sensor tech, ML, and motion planning. The methods use multi-modal observations from RGB cameras, 3D LiDAR, and robot odometry for scene perception, along with deep RL for planning. These methods have been integrated with wheeled, home, and legged robots and tested in crowded indoor scenes, home environments, and dense outdoor terrains. Why it matters: This research pushes the boundaries of robotics in complex environments, paving the way for more versatile and autonomous robots in the Middle East.