Executive Summary

  • Prof. Dr. – Ing. Morris Riedel received his PhD from the Karlsruhe Institute of Technology (KIT) and worked in data-intensive parallel and distributed systems since 2004. He is currently a Full Professor of High-Performance Computing with an emphasis on Parallel and Scalable Machine Learning at the School of Natural Sciences and Engineering of the University of Iceland. Since 2004, Prof. Dr. – Ing. Morris Riedel held various positions at the Juelich Supercomputing Centre of Forschungszentrum Juelich in Germany. In addition, he is the Head of the joint High Productivity Data Processing research group between the Juelich Supercomputing Centre and the University of Iceland. Since 2020, he is also the EuroHPC Joint Undertaking governing board member for Iceland. His research interests include high-performance computing, remote sensing applications, medicine and health applications, pattern recognition, image processing, and data sciences, and he has authored extensively in those fields. Prof. Dr. – Ing. Morris Riedel online YouTube and university lectures include High-Performance Computing – Advanced Scientific Computing, Cloud Computing and Big Data – Parallel and Scalable Machine and Deep Learning, as well as Statistical Data Mining. In addition, he has performed numerous hands-on training events in parallel and scalable machine and deep learning techniques on cutting-edge HPC systems.

Professional Networks and Associations

    • Institute of Electrical and Electronics Engineers (IEEE) is the world’s largest technical professional organization for the advancement of technology – Prof. Dr. – Ing. Morris Riedel is a member of IEEE since 2009, member of IEEE for 10 years, Germany Section
      [ IEEE Web Page ]
    • Association for Computing Machinery (ACM) is the world’s largest computing society and strengthens the profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence – Prof. Dr. – Ing. Morris Riedel is a professional member of ACM since 2011, member of ACM for 8 years
      [ ACM Web Page ]

    • ACM Special Interest Group (SIG) on Artificial Intelligence (AI) promotes and support the growth and application of AI principles and techniques throughout computing – Prof. Dr. – Ing. Morris Riedel is a member of ACM SIGAI
      [ SIGAI ACM Web Page ]
    • ACM Special Interest Group (SIG) on High Performance Computing (HPC) is disseminating research and experience by those using computing resources to tackle the most challenging scientific and technical problems of the day – Prof. Dr. – Ing. Morris Riedel is a member of ACM SIGHPC
      [ SIGHPC ACM Web Page ]
    • ACM Special Interest Group (SIG) on Knowledge Discovery and Data Mining (KDD) provides the premier forum for advancement, education, and adoption of the science of knowledge discovery and data mining from all types of data stored in computers and networks of Computers – Prof. Dr. – Ing. Morris Riedel is a member of ACM SIGKDD
      [ SIGKDD ACM Web Page ]

Forschungszentrum Juelich

Selected Reviewer Activities

    • [2020] Reviewer of IEEE Transactions on Artificial Intelligence, a multidisciplinary journal publishing papers on theories and methodologies of Artificial Intelligence. Applications of Artificial Intelligence are also considered.
      [ INFO ]
    • [2020] RWTH Junior Principal Investigator Fellowships, RWTH Aachen University, Aachen, Germany
      [ INFO ]
    • [2020] Recruiting of Professorships, Uppsala University, Uppsala, Sweden
      [ INFO ]