KAUST has launched the Early Career Accelerator Program (ECAP) for Women in Cybersecurity to promote gender diversity in Saudi Arabia's cybersecurity workforce. The program provides training to Saudi female graduates in security, governance, risk, and compliance, in collaboration with RSA Security LLC. The inaugural program included four graduates from Prince Mugrin University who received training in integrated risk management and will receive ongoing mentoring from KAUST and RSA. Why it matters: This initiative aligns with Saudi Vision 2030 and the National Cybersecurity Authority’s efforts to increase female participation in cybersecurity, addressing the global skills gap and strengthening the Kingdom's cyber defenses.
Emaar, The Economic City (EEC) and King Abdullah University of Science and Technology (KAUST) have signed a memorandum of understanding (MoU) to collaborate on various areas, including community lifestyle, education, transportation, and smart city solutions. The agreement aims to align with KAUST’s research pillars and KAEC’s business strategy. The collaboration also seeks to support the Kingdom's sustainable development goals and drive innovation. Why it matters: This partnership between a leading economic city developer and a top research university in Saudi Arabia has the potential to foster innovation, create jobs, and improve the quality of life in the region, contributing to the goals of Vision 2030.
KAUST Professor of Applied Mathematics and Computational Science, Dr. Peter Markowich, has been named a 2020 Fellow to the European Academy of Sciences. This recognizes his work in the mathematical and numerical analysis of partial differential equations. Markowich joined KAUST in 2011 and has contributed to over 270 projects worldwide. Why it matters: This honor brings recognition to KAUST's faculty and highlights the university's contribution to advanced mathematical research with applications across science and engineering.
KAUST Professor Iain McCulloch has received the 2020 Blaise Pascal Medal for Materials Science from the European Academy of Sciences (EurASc). McCulloch directs KAUST's Solar Center and also holds a professorship at Imperial College London. His research focuses on semiconducting small molecules and polymers for organic electronic devices, leading to advancements in organic solar cells. Why it matters: This award highlights KAUST's contributions to materials science and its focus on advancing solar energy technologies in the region.
UC Berkeley professor Michael I. Jordan will lead a session on AI, Machine Learning and Economy as part of the MBZUAI Executive Program. The program is headed by MBZUAI President Eric Xing and includes 42 participants from ministerial leadership and top industry executives. The 12-week program aims to support the UAE's AI leadership mission through education, capacity building, innovation, and R&D. Why it matters: The involvement of a prominent academic figure like Jordan highlights the UAE's commitment to attracting global expertise in AI education and solidifying its position as an AI hub.
Enowa and KAUST held the Enowa-KAUST Energy Summit 2024, celebrating the third year of their Energy Cortex Program. The Energy Cortex Program funds applied research for clean energy solutions, focusing on renewable energy technologies led by KAUST faculty. The program is structured around Weatherlytics, GenFlex Cortex, Stor Cortex, and Grid Cortex, and has engaged KAUST professors, produced six journal papers, and provided NEOM with data. Why it matters: This partnership aims to revolutionize renewable energy in Saudi Arabia by integrating AI and advanced data analytics to optimize energy generation and distribution, supporting the Kingdom's sustainable energy goals.
Technology Innovation Institute's (TII) Directed Energy Research Center (DERC) is integrating machine learning (ML) techniques into signal processing to accelerate research. One project used convolutional neural networks to predict COVID-19 pneumonia from chest x-rays with 97.5% accuracy. DERC researchers also demonstrated that ML-based signal and image processing can retrieve up to 68% of text information from electromagnetic emanations. Why it matters: This adoption of ML for signal processing at TII highlights the potential for advanced AI techniques to enhance research and security applications in the UAE.