KAUST's Women to Impact (WTI) initiative announced the winners of its Resilience Challenge, a global competition seeking tech-based solutions for building resilience in local ecosystems. The challenge, sponsored by SEDCO Holding, was part of KAUST's Winter Enrichment Program. First place went to AI-AMRS for their AI-based solution to antimicrobial resistance, while second and third place went to SandX/BiocharX for aridland agriculture and takeAbreath for stress management respectively. Why it matters: The challenge highlights KAUST's commitment to fostering innovation and supporting women in STEM, while addressing pressing global issues like climate change, food security, and health.
KAUST is hosting its fourth annual International Research Competition for undergraduate students in January 2015. The competition invites students to submit their research in poster or video format. Up to 50 of the best abstracts will be invited to KAUST from January 17 - 23, 2015 to present their work and experience the university. Why it matters: This competition provides a valuable opportunity for international undergraduate students to engage with cutting-edge research and experience KAUST's facilities and community.
KAUST Ph.D. student Sabrina Vettori won the 2017 Student Paper Competition sponsored by the Section on Statistics and the Environment of the American Statistical Association. Her winning paper was titled "Bayesian clustering and dimension reduction in multivariate air pollution extremes", co-authored by Huser and Genton. The competition focused on environmental statistics, with winners presenting at the Joint Statistical Meetings. Why it matters: This award recognizes KAUST's contribution to environmental statistics and highlights the university's ability to attract and nurture talent in this critical area.
MBZUAI researchers won second place at the AgentX Competition at UC Berkeley for their benchmark measuring AI agents' reasoning across images, comparisons, and video. The Agent-X dataset includes 828 tasks across six domains, requiring agents to use 14 executable tools without explicit instructions. Agent-X analyzes the agent's full reasoning trajectory, unlike typical evaluations that focus only on final answers. Why it matters: The benchmark exposes limitations in current multimodal AI agents and provides a more rigorous evaluation framework for real-world applications in the region and beyond.
KAUST has launched the KAUST Mathematics Competition (KMC), a national mathematics initiative for middle and high school students in Saudi Arabia. The competition aims to identify and nurture young mathematical talent, aligning with Saudi Vision 2030. Winners will receive prizes and the opportunity to attend a joint summer mathematics camp at KAUST and the University of Cambridge in 2026, with registration open until Nov 9, 2025. Why it matters: This competition can help develop a pipeline of Saudi talent in STEM fields crucial for advancing the Kingdom's AI ambitions.
KAUST has announced the finalists for its Winter Enrichment Program (WEP) poster competition. The finalists, consisting of graduates, postdoctoral students, and international undergraduates, submitted research posters. The winner will be announced on January 21, 2015, during the WEP award ceremony. Why it matters: Such events promote research excellence and collaboration within KAUST and the broader academic community, fostering innovation and knowledge sharing.
KAUST Ph.D. student Amal Mohammed Alamri was a finalist in the July 2018 IEEE nanoArt Competition, part of the 18th IEEE International Conference on Nanotechnology in Cork, Ireland. Her work, displayed at University College Cork and Crawford/CIT Gallery, involved stacking n-type MoS2 single crystal with p-type perovskite CH3NH3PbBr3 single crystal. Alamri's IEEE Nano paper entitled "Photonic Single Crystal Heterostructures based on Perovskites/Molybdenum disulfide" was also presented at the conference. Why it matters: This highlights KAUST's contribution to nanotechnology research and its students' participation in international scientific events.
KAUST Ph.D. student Chiheb Ben Hammouda won the best poster award at the Society for Industrial and Applied Mathematics Conference on Financial Mathematics & Engineering (FM19) for his work on option pricing under the rough Bergomi model. The winning poster, titled "Hierarchical adaptive sparse grids and quasi-Monte Carlo for option pricing under the rough Bergomi model," details research carried out under the supervision of KAUST Professor Raul Tempone. The research group designed new efficient numerical methods for pricing derivatives under the rough Bergomi model by combining smoothing techniques. Why it matters: This award highlights KAUST's growing expertise in financial mathematics and its contribution to solving complex problems in the field using advanced numerical methods.