Woong Shin, Ph.D. is a Research Scientist at Oak Ridge National Laboratory (ORNL), specializing in high-performance computing (HPC), AI/ML applications, and energy-efficient supercomputing. His work includes developing AI/ML based systems for operational data analytics and improving HPC energy efficiency. He holds a Ph.D. in Electrical Engineering and Computer Science from Seoul National University. His contributions have earned recognition, including a Best Paper Award at SC’21 and a Research Accomplishment Award from UT-Battelle. He is also active in HPC community initiatives, technical committees, and workshops on AI and operational data analytics.
PhD, Distributed Computing Systems (MA & Ph.D. integrated)
Seoul University
BS Computer Science
Korea University
My lifelong passion for building intelligent computer systems—sparked by a childhood fascination with technology—has guided me through diverse areas including distributed systems, mission-critical enterprise software, and large-scale data analytics. Over time, I’ve become deeply focused on high-performance computing (HPC) and the potential it holds for solving grand challenges, especially in the post-Moore’s law era. This journey has led me to explore machine learning, sustainable supercomputing, and data-driven modeling, all aimed at making powerful systems more efficient, reliable, and environmentally responsible.
Today, my research focuses on applying HPC operational analytics and advanced modeling to optimize exascale environments. I work closely with domain scientists at HPC sites, industry partners, and academic research groups worldwide, integrating data-driven methods into real-world impact. By translating fundamental research insights into practical solutions, I help tackle key issues like energy efficiency, performance tuning, and infrastructure reliability.
I’m excited about bridging the gap between cutting-edge HPC theory and industrial-scale deployment, envisioning a future where sustainable, high-performance computing ecosystems not only drive scientific breakthroughs but also benefit society at large.
Peer reviewed publications
PC member in conferences and workshops
Invited talks and presentations
Community recognitions
Invited talks, panels, and presentations
Operational Data Analytics Team, General member