About Dominik L. Michels Dominik L. Michels Associate Professor, Computer Science algorithmics machine learning numerical simulations scientific computing visual computing Professor Michels is a leading computer scientist who proactively designs strategies to face upcoming digitization challenges. His outstanding research has been recognized by the scientific community within and beyond KAUST. Articles Related News August 2024 Cyclones meet their mathematical match 1 min read · Sun, Aug 18 2024 News Clip News An integrated mathematical framework vastly improves the modeling of cyclones and tornadoes. August 2022 Watching viscous flow, but faster 1 min read · Tue, Aug 23 2022 News modeling Computer science A state-of-the-art method for modeling the behavior of liquids described by the Computational Sciences Group represents a breakthrough in computational speed for viscous liquids. February 2022 Dominik L. Michels appointed Associate Professor of Computer Science and Applied Mathematics 2 min read · Mon, Feb 14 2022 News algorithmics machine learning scientific computing visual computing numerical simulations KAUST faculty member Dominik L. Michels has recently been promoted to associate professor of computer science and applied mathematics. August 2021 Wildfire simulation heats up 1 min read · Tue, Aug 10 2021 News Computer science modeling environment visual computing Computational models capture the capricious behavior of forest fires. February 2021 Cloud simulations get a dose of realism 1 min read · Mon, Feb 15 2021 News big data visual computing computation Computer science A focus on the fundamental physics of cloud formation leads to highly realistic simulations of different types of clouds. January 2021 Ferrofluid surface simulations go more than skin deep 1 min read · Sun, Jan 10 2021 News algorithms visual computing Computer science Computer models efficiently and accurately simulate the magnetic responses of ferrofluids by considering only the fluid’s surface. November 2020 An algorithm for success: KAUST-designed differential equation-solving algorithm included in Maple 2020 3 min read · Tue, Nov 17 2020 News algorithm nonlinear ordinary differential equations Symbolic Computation A KAUST-designed symbolic algorithm to solve nonlinear ordinary differential equations (ODEs) has been selected for inclusion in the current version of the computer algebra system (CAS) Maple 2020. The global symbolic and numeric computing software system—developed by the Canadian company Waterloo Maple (Maplesoft)—is widely used by scientists, engineers, and researchers to analyze, visualize, and solve mathematical problems. October 2019 NRW’s EUR 1.25M Artificial Intelligence Grant awarded to Dominik L. Michels 2 min read · Tue, Oct 15 2019 News grants Dominik L. Michels, Assistant Professor of Computer Science and Applied Mathematics, and Head of the Computational Sciences Research Group within KAUST's Visual Computing Center, was recently awarded one of the six Artificial Intelligence Grants of the State of North Rhine-Westphalia (NRW), Germany, for his contributions to the simulation of complex physical environments. The grant, amounting to 1.25 million euros, will fund Michels’ research on algorithmic methods to use synthetic data for training of neural networks in Machine Learning. “Synthetic data are data that were not obtained by direct measurement but were generated by specific algorithms,” Michels explains, “in neural networks, the use of synthetic data is needed whenever the amount of data available is less than required.” July 2019 Mastering a prickly problem in ferrofluids 1 min read · Sun, Jul 14 2019 News Computer science visual computing nanoelectronics ferrofluids magnetic-field simulations Computer simulation accurately captures the beguiling motion of a liquid magnetic material. January 2019 KAUST students participate in Europe’s leading hackathon event 2 min read · Thu, Jan 3 2019 Awards Torsten Hädrich and Yan Gong, two KAUST Ph.D. students from the University's Computer, Electrical and Mathematical Science and Engineering division, recently represented KAUST at the 48-hour international hackathon event Junction 2018. The event, which is Europe's most prestigious annual hackathon, brought computer and data scientists to Helsinki, Finland, from November 23 to 25, 2018, with the goal of addressing real-world computational issues while inspiring the next generation of technological leaders. Around 1,000 participants—including developers, designers and other "tech-heads" from 105 October 2018 Polymers offer a better view 1 min read · Wed, Oct 24 2018 News visual computing Imaging Computer science A window opens for analyzing the distribution of small molecules in biological and medical tissue samples. December 2017 Dominik L. Michels receives the first Procter & Gamble Faculty Award 1 min read · Sun, Dec 10 2017 News numerical simulations machine learning algorithm scientific computing visual computing Dominik L. Michels, Computer Science and Mathematics faculty in the Computer, Electrical and Mathematical Science and Engineering Division (CEMSE) and head of the Computational Sciences Group within the Visual Computing Center (VCC), recently received the first Procter & Gamble (P&G) Faculty Award.
Cyclones meet their mathematical match 1 min read · Sun, Aug 18 2024 News Clip News An integrated mathematical framework vastly improves the modeling of cyclones and tornadoes.
Watching viscous flow, but faster 1 min read · Tue, Aug 23 2022 News modeling Computer science A state-of-the-art method for modeling the behavior of liquids described by the Computational Sciences Group represents a breakthrough in computational speed for viscous liquids.
Dominik L. Michels appointed Associate Professor of Computer Science and Applied Mathematics 2 min read · Mon, Feb 14 2022 News algorithmics machine learning scientific computing visual computing numerical simulations KAUST faculty member Dominik L. Michels has recently been promoted to associate professor of computer science and applied mathematics.
Wildfire simulation heats up 1 min read · Tue, Aug 10 2021 News Computer science modeling environment visual computing Computational models capture the capricious behavior of forest fires.
Cloud simulations get a dose of realism 1 min read · Mon, Feb 15 2021 News big data visual computing computation Computer science A focus on the fundamental physics of cloud formation leads to highly realistic simulations of different types of clouds.
Ferrofluid surface simulations go more than skin deep 1 min read · Sun, Jan 10 2021 News algorithms visual computing Computer science Computer models efficiently and accurately simulate the magnetic responses of ferrofluids by considering only the fluid’s surface.
An algorithm for success: KAUST-designed differential equation-solving algorithm included in Maple 2020 3 min read · Tue, Nov 17 2020 News algorithm nonlinear ordinary differential equations Symbolic Computation A KAUST-designed symbolic algorithm to solve nonlinear ordinary differential equations (ODEs) has been selected for inclusion in the current version of the computer algebra system (CAS) Maple 2020. The global symbolic and numeric computing software system—developed by the Canadian company Waterloo Maple (Maplesoft)—is widely used by scientists, engineers, and researchers to analyze, visualize, and solve mathematical problems.
NRW’s EUR 1.25M Artificial Intelligence Grant awarded to Dominik L. Michels 2 min read · Tue, Oct 15 2019 News grants Dominik L. Michels, Assistant Professor of Computer Science and Applied Mathematics, and Head of the Computational Sciences Research Group within KAUST's Visual Computing Center, was recently awarded one of the six Artificial Intelligence Grants of the State of North Rhine-Westphalia (NRW), Germany, for his contributions to the simulation of complex physical environments. The grant, amounting to 1.25 million euros, will fund Michels’ research on algorithmic methods to use synthetic data for training of neural networks in Machine Learning. “Synthetic data are data that were not obtained by direct measurement but were generated by specific algorithms,” Michels explains, “in neural networks, the use of synthetic data is needed whenever the amount of data available is less than required.”
Mastering a prickly problem in ferrofluids 1 min read · Sun, Jul 14 2019 News Computer science visual computing nanoelectronics ferrofluids magnetic-field simulations Computer simulation accurately captures the beguiling motion of a liquid magnetic material.
KAUST students participate in Europe’s leading hackathon event 2 min read · Thu, Jan 3 2019 Awards Torsten Hädrich and Yan Gong, two KAUST Ph.D. students from the University's Computer, Electrical and Mathematical Science and Engineering division, recently represented KAUST at the 48-hour international hackathon event Junction 2018. The event, which is Europe's most prestigious annual hackathon, brought computer and data scientists to Helsinki, Finland, from November 23 to 25, 2018, with the goal of addressing real-world computational issues while inspiring the next generation of technological leaders. Around 1,000 participants—including developers, designers and other "tech-heads" from 105
Polymers offer a better view 1 min read · Wed, Oct 24 2018 News visual computing Imaging Computer science A window opens for analyzing the distribution of small molecules in biological and medical tissue samples.
Dominik L. Michels receives the first Procter & Gamble Faculty Award 1 min read · Sun, Dec 10 2017 News numerical simulations machine learning algorithm scientific computing visual computing Dominik L. Michels, Computer Science and Mathematics faculty in the Computer, Electrical and Mathematical Science and Engineering Division (CEMSE) and head of the Computational Sciences Group within the Visual Computing Center (VCC), recently received the first Procter & Gamble (P&G) Faculty Award.
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