Christian Engelmann
Senior Scientist and Group Leader, Intelligent Systems and Facilities Research
Bio
Dr. Christian Engelmann is a Senior Scientist and the Intelligent Systems and Facilities Research Group Leader at Oak Ridge National Laboratory (ORNL), the US Department of Energy’s (DOE) largest multiprogram science and technology laboratory with an annual budget of $2.4 billion. He has more than 22 years experience in software research and development for extreme-scale high-performance computing (HPC) systems. Dr. Engelmann’s research solves computer science challenges in HPC software, such as scalability, dependability, and interoperability.
Dr. Engelmann’s primary expertise is in HPC resilience, i.e., efficiency and correctness in the presence of faults, errors, and failures. He is a leading HPC resilience expert and was a member of the DOE Technical Council on HPC Resilience 2013-15. He received the 2015 DOE Early Career Award for research in resilience design patterns. Dr. Engelmann’s secondary expertise is in system software for the instrument-to-edge-to-center computing continuum, enabling science breakthroughs with autonomous experiments, self-driving laboratories, smart manufacturing, and artificial intelligence (AI) driven design, discovery and evaluation. He further has expertise in lightweight simulation of future-generation extreme-scale supercomputers, studying the impact of hardware/software properties on performance and resilience. Dr. Engelmann is also an expert in operating system and runtime software for parallel and distributed systems.
Dr. Engelmann earned a Dipl.-Ing. (FH) in Computer Systems Engineering from the University of Applied Sciences Berlin, Germany, and a M.Sc. in Computer Science from the University of Reading, UK, both in 2001 as conjoint degrees, and a Ph.D. in Computer Science from the University of Reading in 2008. He is a Senior Member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE). He is also a Member of the Society for Industrial and Applied Mathematics (SIAM) and the Advanced Computing Systems Association (USENIX).
More information can be found on Dr. Engelmann’s personal homepage, including details about prominent solutions, ongoing research projects, past research projects and a full list of publications.
Awards
2015 US Department of Energy Early Career Research Award