Munther Dahleh, director at the MIT Institute for Data, Systems, and Society (IDSS), discussed his group's research on network systems at the KAUST 2018 Winter Enrichment Program. The research focuses on the fragility of large networked systems, like highway systems, in response to disruptions that may lead to catastrophic failures. Dahleh's team studies transportation networks, electrical grids, and financial markets to understand system interconnection in causing systemic risk. Why it matters: Understanding networked systems is crucial for building resilient infrastructure and mitigating risks in critical sectors across the GCC region.
KAUST has upgraded its connectivity with 200 Gbps links to Amsterdam and Singapore, connecting to major research networks in Europe and Asia. This upgrade provides researchers with fast data transmission and access to global scientific resources. The increased bandwidth reduces data transfer times significantly, enabling high-performance science applications. Why it matters: This connectivity boost is unprecedented in the Middle East and empowers KAUST to enhance global research collaboration and fully utilize its advanced data processing capabilities.
KAUST hosted the "Human-Machine Networks and Intelligent Infrastructures" conference, co-organized by Prof. Jeff Shamma and Asst. Prof. Meriem Laleg. The conference explored the blend of engineered devices and human elements in large-scale systems like smart grids. Keynote speaker Dr. Pramod Khargonekar discussed cyber-physical-social systems and emerging trends. Why it matters: The conference highlights the growing importance of understanding the interplay between AI, infrastructure, and human behavior in the development of smart cities and intelligent systems in the region.
This article discusses a talk by Gábor Lugosi on "network archaeology," specifically the problems of root finding and broadcasting in large networks. The talk addresses discovering the past of dynamically growing networks when only a present-day snapshot is observed. Lugosi's research interests include machine learning theory, nonparametric statistics, and random structures. Why it matters: Understanding the evolution and origins of networks is crucial for various applications, including analyzing social networks, biological systems, and the spread of information.
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.
Communications Physics journal has a focus collection on space quantum communications. The collection covers supporting technologies, new quantum protocols, inter-satellite QKD, constellations of satellites, and quantum inspired technologies and protocols for space based communication. Contributions are welcome from October 20, 2020 to April 30, 2021, and accepted papers are published on a rolling basis. Why it matters: Space-based quantum communication is a critical area for developing secure, global quantum networks, and this collection could highlight relevant research for the GCC region as it invests in advanced technologies.
KAUST and King Abdulaziz University (KAU) are collaborating to develop low-cost sodium-ion battery technology using fly ash, a waste material from burning fossil fuels. Researchers are purifying fly ash and using thermal treatment to engineer its structure for use as carbon electrodes in batteries. The resulting carbon electrode material is competitive with existing market products and can be used for other applications. Why it matters: This research offers a sustainable approach to energy storage by repurposing waste materials, potentially enabling cheaper and more environmentally friendly grid-scale energy storage for renewable energy sources.
TII Chief Researcher Mérouane Debbah and MBZUAI President Eric Xing visited École Polytechnique in France to discuss AI research and training. They reviewed AI projects and opportunities to increase the visibility of UAE-led research. The meeting aimed to strengthen collaboration between MBZUAI, TII, and École Polytechnique. Why it matters: Such partnerships can foster knowledge exchange and accelerate AI innovation in the UAE by leveraging international expertise.