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Results for "Dominik Michels"

Faculty Focus: Dominik Michels

KAUST ·

Dominik Michels is an assistant professor of computer science at KAUST. He is part of the Computer, Electrical and Mathematical Science and Engineering Division. Why it matters: This highlights KAUST's continued investment in attracting international faculty to strengthen its research programs.

Dominik L. Michels receives the first Procter & Gamble Faculty Award

KAUST ·

KAUST Assistant Professor Dominik Michels received the first Procter & Gamble (P&G) Faculty Award for his research contributions to the consumer goods industry. Michels has a long-standing academic partnership with P&G, contributing to the development and integration of computer-aided product development techniques into P&G's workflow. The collaborative projects have focused on AI, machine learning, and scientific/visual computing. Why it matters: This award highlights KAUST's growing role in applied AI research and its successful partnerships with major global corporations, facilitating technology transfer and real-world impact.

From Descartes to Morin

KAUST ·

Dominique Sciamma, Managing Director at Strate School of Design in France, gave a presentation at KAUST during Enrichment in the Fall of 2017. The title of the presentation was "From Descartes to Morin." The event was held at King Abdullah University of Science and Technology. Why it matters: While the event is dated, KAUST's ongoing enrichment programs contribute to fostering a culture of innovation and knowledge exchange in Saudi Arabia.

DomiRank: DERC’s Marcus Engsig Unveils Novel Centrality Metric to Establish System Integrity

TII ·

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.

Faculty Focus: Stefaan De Wolf

KAUST ·

This article is a brief faculty profile of Stefaan De Wolf at KAUST. It appears to be part of a standard template on the KAUST website. Why it matters: Such profiles help showcase the expertise and research areas of faculty at KAUST.

Ph.D. student wins PACE Challenge

KAUST ·

KAUST Ph.D. student Lukas Larisch won the Parameterized Algorithms and Computational Experiments (PACE) 2017 Challenge in the Optimal Tree Decomposition Challenge, solving more instances than competitors. He received the award at the International Symposium on Parameterized and Exact Computation (IPEC 2017) in Vienna, Austria. Larisch is pursuing his Ph.D. at KAUST and working in the University's Extreme Computing Research Center, focusing on acoustics and graph structure theory. Why it matters: This recognition highlights KAUST's contribution to advanced computer science research and its ability to attract and foster talented researchers in niche areas like parameterized complexity.

Ph.D. student Michał Mańkowski wins poster award at the 18th Annual American Society of Transplant Surgeons Symposium

KAUST ·

KAUST Ph.D. student Michał Mańkowski won a Poster of Distinction Award at the American Society of Transplant Surgeons (ASTS) 18th Annual State of the Art Winter Symposium for his work on kidney allocation systems. His poster described a simulation for a new kidney allocation system to accelerate organ placement, focusing on marginal quality kidneys. The research involves combinatorial optimization, operation research and management science with healthcare applications, stemming from a collaboration with Johns Hopkins School of Medicine. Why it matters: The research aims to improve organ transplantation efficiency and save lives by optimizing kidney allocation systems, demonstrating the potential of AI and optimization techniques in healthcare.

Learn to control

MBZUAI ·

Patrick van der Smagt, Director of AI Research at Volkswagen Group, discussed the use of generative machine learning models for predicting and controlling complex stochastic systems in robotics. The talk highlighted examples in robotics and beyond and addressed the challenges of achieving quality and trust in AI systems. He also mentioned his involvement in a European industry initiative on trust in AI and his membership in the AI Council of the State of Bavaria. Why it matters: Understanding control in robotics, along with trust in AI, are key issues for further development of autonomous systems, especially in industrial applications within the GCC region.