Prof. Dr.-Ing. Morris Riedel received his PhD from the Karlsruhe Institute of Technology (KIT) and has worked in data-intensive parallel and distributed systems since 2004. He is a Full Professor of High-Performance Computing with a focus on Parallel and Scalable Machine Learning at the University of Iceland’s School of Natural Sciences and Engineering.

He has held various positions at the Jülich Supercomputing Centre (Forschungszentrum Jülich, Germany) and heads the joint High-Productivity Data Processing research group between Jülich and the University of Iceland. Since 2020, he has also served as Iceland’s representative on the EuroHPC Joint Undertaking governing board.

His research interests include high-performance computing, remote sensing, medical and health applications, pattern recognition, image processing, and data science. He has authored extensively and delivers university and online lectures, including on HPC, scalable machine and deep learning, and statistical data mining, as well as practical training on modern HPC systems.