Prof. Dr. Ralf Keidel

Chair for Scientific Computing
University of Kaiserslautern-Landau (RPTU)
Paul-Ehrlich-Straße 34
D-67663 Kaiserslautern

Email: ralf.keidel@rptu.de
Room: 36-409
Tel: +49 (0) 631 205 5636

Prof. Dr. Ralf Keidel is the spokesperson of SIVERT.

Prof. Dr. Ralf Keidel received his Diploma in Physics in 1985. From 1985 to 1990, he served as a research assistant within the heavy ion physics working group at Philipps University in Marburg, completing his PhD in 1990. Transitioning to industry, he worked at DuPont from 1990 to 1993, contributing to research and development efforts focused on ‘Curtain Coating’ and fluid dynamics within thin films. Since 1993, he has been a Professor of Computer Science at the University of Applied Sciences in Worms, specializing in object-oriented distributed systems and machine learning. Concurrently, he has held various leadership roles, including Head of the Technology Transfer Office since 1996 and Scientific Director of the Center for Technology and Transfer (ZTT) since 2000. In addition to his academic responsibilities, he is a member of the SciComp Team, comprised of applied mathematicians, computer scientists, and engineers, dedicated to solving problems in Scientific Computing. His contributions are particularly focused on the optimization of high energy physics detectors, showcasing his expertise and commitment to advancing research at the intersection of physics and computational science. Prof. Dr. Keidel’s extensive involvement with international collaborations also includes serving on the ALICE Collaboration Board at CERN, Geneva, from 2003 to 2023, as well as being a member of the Bergen pCT Collaboration since 2018 and the ‘Inter-experimental Machine Learning (IML) Working Group’ at CERN since 2019. Additionally, he has taken on the role of spokesperson and principal investigator for the project ‘Secure & Intelligent Visualization & Real-time Reconstruction Techniques (for pCT)’ (SIVERT) since 2020 and has been a member of the ‘Machine-learning Optimized Design of Experiments’ Collaboration (MODE) since 2022.
More about Ralf Keidel’s background you’ll find here.