The Simulation and Data Lab Health and Medicine (SimDataLab HM) aims to shed light on novel data analysis approaches in the medical field with extra focus on the application of High Performance Computing (HPC) architectures in the processing of patient medical data, as well as diagnosis and treatment assistance. The SimDataLab HM works in cooperation with the Juelich Supercomputing Centre (JSC) of Forschungszentrum Juelich (FZJ) – Juelich, Germany as part of the SMITH consortium’s Algorithmic Surveillance of ICU Patients (ASIC) use case.
Prof. Dr. – Ing. Morris Riedel
Morris Riedel is an Associate Professor at the School of Engineering and Natural Sciences of the University of Iceland. He received his PhD from the Karlsruhe Institute of Technology (KIT) and works in parallel and distributed systems since 15 years. He previously held various positions at the Juelich Supercomputing Centre of Forschungszentrum Juelich in Germany. At this institute, he is also the head of a specific scientific research group focused on ‘High Productivity Data Processing’ and a cross-sectional team ‘Deep Learning’.
Chadi Barakat is a Doctoral Researcher at the School of Engineering and Natural Sciences of the University of Iceland and a member of the High Productivity Data Processing research group at the Juelich Supercomputing Centre of Forschungszentrum Juelich in Germany. He completed his B.Sc. in Computer and Communications Engineering at the American University of Science and Technology – Beirut, Lebanon and received his M.Sc. in Bioengineering from the University of Iceland.
His PhD work concerns the application of Machine Learning and Deep Learning in medical applications, specifically in the diagnosis and treatment of Acute Respiratory Distress Syndrome (ARDS).