U.S. DOE

Extreme Computing and Data Challenges

Dr. Robinson E. Pino

Computer Scientist and Program Manager
Advanced Scientific Computing Research, Office of Science
U.S. Department of Energy (U.S. DOE)

The Office of Science Advanced Scientific Computing Research Program underpins DOE's world leadership in scientific computation by supporting research in applied mathematics, computer science, high-performance networks, computational partnerships and educational programs. In particular, our Computer Science research portfolio fills a critical gap in scientific computing. The computing resources required to fulfill the Office of Science mission exceed the state-of-the-art by a significant margin. Furthermore, the software tools, libraries and the distributed software environments needed to accelerate scientific discovery through modeling and simulation are beyond the realm of commercial interest. Yet, the computing resources and the applications that run on them are vital to maintaining the United States' competitiveness in the world economy. Our Computer Science research program supports research that enables computing at extreme scales and the understanding of extreme scale data from both simulations and experiments. It aims to make scientific computers as easy and effective to use as possible. This talk will focus on challenges for computing and data.

Dr. Robinson E. Pino, is a Computer Scientist and Program Manager for the Advanced Scientific Computing Research (ASCR) program office in the Department of Energy's (DOE) Office of Science. In his portfolio, Dr. Pino focuses on revolutionary basic research and development efforts for high performance computing and applications that will enable our continued leadership through exascale and beyond computing and energy efficient technologies. Dr. Pino has expertise within technology development, program management, government, industry, and academia. He previously worked as Director of Cyber Research at ICF International advancing the state of the art in cybersecurity by applying autonomous concepts from computational intelligence and neuromorphic computing for the U.S. Department of Defense (DoD) Army Research Laboratory (ARL) and various DoD and U.S. Department of Energy (DoE) collaborators, industry and academia. Dr. Pino's research and development program focused on the development of intelligent, autonomous, and cognitive applications toward network, host, and mobile security solutions. In addition, Dr. Pino was a Senior Electronics Engineer at the U.S. Air Force Research Laboratory (AFRL) where he was a program manager and principle scientist for the computational intelligence and neuromorphic computing research efforts. He also worked at IBM as an advisory scientist/engineer development enabling advanced CMOS technologies and as a business analyst within IBM's photomask business unit. Dr. Pino served as an adjunct professor at the University of Vermont where he taught electrical engineering courses. Dr. Pino has a Ph.D. and M.Sc. degrees in Electrical Engineering with honors from Rensselaer Polytechnic Institute and a B.E. in Electrical Engineering with honors from the City University of New York, City College. He is the recipient of numerous awards and professional distinctions; has published over 50 technical papers, including three books; and holds six patents, three pending.