The Communications and Computing Systems Lab at KAUST received two awards in the International Telecommunication Union AI for Good Machine Learning Challenge for their innovative and power-efficient solution to pedestrian detection.
KAUST: Pushing the Frontiers of Science and Technology
A residual-based approach that detects and corrects voltage and frequency anomalies could protect power grids against covert cyberattacks.
A Ph.D. candidate’s passion for animals is helping to drive the development of an AI system that informs conservation practice.
KAUST Professor Roberto Di Pietro has been elected as a member of the prestigious Academia Europaea.
KAUST extSTAT Research Group wins prestigious awards at EVA 2023 Conference in Milan.
Applying a penalty for increasing complexity provides better control over flexible statistical models.
KAUST students Kerven Durdymyradov and Charles Edward Sexton, shine at the Open Mathematical Olympiad for University Students in Ashgabat, Turkmenistan, with Sexton receiving a bronze medal in the individual competition and their team securing a silver medal in the team competition.
Meet Professor Roberto Di Pietro, one of KAUST's newest faculty members and a leading expert in cybersecurity. With a career spanning over 25 years, Di Pietro brings a wealth of experience and a passion for research to his role as a Full Computer Science Professor at KAUST's CEMSE Division.
A new book titled “Decision Trees for Fault Diagnosis in Circuits and Switching Networks” by Monther Busbait, Mikhail Moshkov, Albina Moshkova and Vladimir Shevtchenko has been published online
Computer memory systems that work change resistance rather than charge could greatly improve the performance of deep neural networks for machine learning.
Dr. Hesham Omran, a KAUST alumnus, recently won the prestigious UNESCO-Al Fozan International Prize for the Promotion of Young Scientists in Science, Technology, Engineering, and Mathematics (STEM).
Gallium oxide offers resistance to radiation and high temperatures, and could be used for data storage and computing in extreme conditions.
KAUST Ph.D. students Sebastian Celis Sierra and Zere Iman were selected among the top 10 finalists in the recent 2023 IEEE AP-S Student Paper Competition.
Meet Francesco Orabona, a recently appointed associate professor at KAUST. Orabona’s research interests focus on the theory and application of machine learning and online learning algorithms.