Marcus Engsig at DERC has developed DomiRank, a new centrality metric to quantify the dominance of nodes within networks. DomiRank integrates local and global topological information to determine the importance of each node for network stability. The research demonstrates that nodes with high DomiRank values indicate vulnerable areas heavily dependent on dominant nodes. Why it matters: This metric can help identify critical infrastructure components and vulnerabilities in complex systems, enhancing resilience against targeted attacks.
Marcus Engsig from DERC will present a paper at the MATLAB User Group Meeting in Abu Dhabi on October 6. The paper, titled ‘Generalization of Higher Order Methods For Fast Iterative Matrix Inversion Compatible With GPU Acceleration’, discusses a novel approach to matrix inversion using GPUs. The method, named Nested Neumann, achieves 4-100x acceleration compared to standard MATLAB methods for large matrices. Why it matters: This research contributes to faster computation in numerical and physical modeling, crucial for processing large datasets in various scientific and engineering applications in the region.
Mae AlMansoori, Principal Researcher at DERC, received the highest marks and an "Excellent" commendation for her PhD thesis and presentation from Helmut Schmidt University. Her thesis focused on applying modern engineering to optimize directed energy technologies, resulting in over 25 publications and a patent filing for RF jammer localization. AlMansoori is the first Emirati to significantly contribute to directed energy systems and detection technologies. Why it matters: This achievement highlights the UAE's growing expertise in advanced engineering fields and the role of Emirati researchers in developing cutting-edge technologies.
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.
Prof. Mérouane Debbah, Chief Researcher at the AI Cross-Center Unit and DSRC, has been ranked No. 1 in France and 180th globally in Electronics and Electrical Engineering by Research.com. He has an H-index of 98 and over 47000 citations. Debbah was also recognized as a 2022 AI 2000 Most Influential Scholar in Internet of Things for contributions between 2012 and 2021. Why it matters: This recognition highlights the growing AI research talent within the GCC region, particularly in areas related to communication technologies and IoT.