A new mini-batch strategy using aggregated relational data is proposed to fit the mixed membership stochastic blockmodel (MMSB) to large networks. The method uses nodal information and stochastic gradients of bipartite graphs for scalable inference. The approach was applied to a citation network with over two million nodes and 25 million edges, capturing explainable structure. Why it matters: This research enables more efficient community detection in massive networks, which is crucial for analyzing complex relationships in various domains, but this article has no clear connection to the Middle East.
KAUST and SABB (Saudi British Bank) have partnered to launch a startup accelerator program. The program will be open to multiple universities in Saudi Arabia. Details on the application process and specific program focus are forthcoming. Why it matters: University-linked accelerators boost Saudi Arabia's innovation ecosystem by providing resources for young companies.
Malaria No More (MNM), Reaching the Last Mile (RLM), and MBZUAI have signed an agreement to expand the Forecasting Healthy Futures (FHF) initiative with a $5 million award from RLM. The initiative aims to address the impact of climate change on malaria and other climate-sensitive infectious diseases. MBZUAI will provide expertise to support the eradication of malaria. Why it matters: This partnership highlights the UAE's commitment to global health and leverages AI to combat climate-sensitive diseases, demonstrating a proactive approach to addressing complex global challenges.
KAUST Ph.D. student José Efraín Pérez won the Magnetism as Art Showcase People’s Choice Award at the 62nd Annual Conference on Magnetism and Magnetic Materials (MMM) 2017 for his artwork "Magnetic Nanobeacon." The artwork represents magnetic nanowires embedded in a nanoporous template. Pérez's research focuses on biomedical applications of nanostructures, using nanowires as a scaffold for stem cell differentiation. Why it matters: This award highlights the innovative research at KAUST in the area of magnetic nanostructures and their potential applications in biomedicine.
Areej Aljarb is a Ph.D. student in material science and engineering at KAUST, researching 2D materials within the KAUST 2D Materials Research Lab under Professors Lain-Jong Li and Xixiang Zhang. Her research focuses on the controlled growth and fundamental phenomena of two-dimensional atomic layer thin materials, specifically controlling the orientation of 2D transition metal dichalcogenides (TMDs). Aljarb aims to achieve single-orientation epitaxial monolayer 2D TMDs to fully utilize the potential of these materials. Why it matters: This highlights KAUST's commitment to fostering local talent and contributing to advanced materials research with potential applications in various technology sectors.
The Advanced Materials Research Center (AMRC) held its second Board of Advisors meeting on November 23, 2021. Board members from Khalifa University, University of Sheffield, City University Hong Kong, Ludwig Maximilians Universität München, and Instituto Superior Técnico provided feedback on AMRC’s strategic plans. The meeting focused on AMRC’s strategic growth and future directions. Why it matters: The meeting indicates continued investment in advanced materials research in the UAE, signaling potential advancements in related technological applications.
KAUST Ph.D. student Altynay Kaidarova was elected to IEEE's Next Generation Magneticans Advisory Board in November 2017. She presented her research on underwater animal monitoring magnetic sensor systems at the 62nd Annual Conference on Magnetism and Magnetic Materials (MMM 2017). Kaidarova hopes the position will provide her with necessary skills, connections, and self-confidence to contribute to the international magnetism community. Why it matters: This highlights KAUST's commitment to fostering emerging talent and its contribution to marine research and environmental conservation through advanced sensor technologies.
MBZUAI students and researchers presented findings at the Graduate Student Research Conference (GSRC) in Dubai, led by Assistant Professor Mohammad Yaqub. Topics included deep learning, computer learning, disease prediction, and AI in healthcare, with students from the BioMedIA lab presenting their work. Presentations covered areas like fetal ultrasound quality assessment, head and neck cancer diagnosis, and disease risk prediction using generative pre-trained transformers. Why it matters: This showcases MBZUAI's focus on applying AI to solve real-world healthcare problems and highlights the contributions of its students in advancing medical AI research.