John Nehrbass

A driving force in studies related to high performance computing and parallel software implementations, John Nehrbass serves as a Senior Research Scientist at the University of Dayton. With a robust academic foundation, he earned his Ph.D. in electrical engineering from The Ohio State University in 1996, following his M.S. and B.S. degrees in electrical engineering from Arizona State University in 1991 and 1989, respectively. His extensive expertise spans across GPU acceleration, deep learning, singularity containers deployment, and cloud computing, making him a pivotal figure in these cutting-edge fields. Nehrbass is at the helm of Frontier Research Systems and the High Performance Computing Modernization Office, where he spearheads initiatives that push the boundaries of computational capabilities. His leadership extends to the development of parallel MATLAB and Python environments, which are crucial for advancing computational efficiency and effectiveness in various research domains. In addition to his leadership roles, Nehrbass contributes significantly as a PETTT Onsite for the Department of Defense High Performance Computing Modernization Program (DoD HPCMP). His involvement ensures that the latest advancements in high performance computing are integrated into defense-related applications, enhancing the computational power available to the DoD. His research interests are deeply rooted in cloud computing, where he explores innovative solutions to optimize data processing and storage. Nehrbass's work in deep learning and singularity containers deployment is particularly noteworthy, as it addresses the growing demand for scalable and efficient computational frameworks. Throughout his career, Nehrbass has been committed to fostering collaborations that bridge the gap between theoretical research and practical applications. His contributions to the field of electrical engineering have not only advanced academic understanding but have also had a tangible impact on industry practices. John Nehrbass's dedication to advancing high performance computing and related technologies continues to inspire both his peers and the next generation of engineers. His work remains instrumental in shaping the future of computational research and its applications across various sectors.