Woong Shin
Woong Shin

HPC Systems/Software/Data Engineer, Computer Systems Researcher

About Me

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.

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Interests
  • Applications of AI/ML on HPC
  • HPC Energy Efficiency
  • Operational Data Analytics
  • Computer Systems Research
Education
  • PhD, Distributed Computing Systems (MA & Ph.D. integrated)

    Seoul University

  • BS Computer Science

    Korea University

My Research

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.

Statistics

20

Peer reviewed publications

11

PC member in conferences and workshops

8

Invited talks and presentations

Featured Publications
Recent Publications
(2024). A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. SC24.
(2024). Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. SC24 Sustainble Supercomputing Workshop.
(2024). Navigating Exascale Operational Data Analytics: From Inundation to Insight. SC24 Sustainble Supercomputing Workshop.
(2024). Towards Sustainable Post-Exascale Leadership Computing. SC24 Sustainble Supercomputing Workshop.
(2024). Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads. ICDCS'24.
(2024). Understanding GPU Memory Corruption at Extreme Scale: The Summit Case Study. ACM ICS'24.
(2021). Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer. SC21.
(2021). A Conceptual Framework for HPC Operational Data Analytics. CLUSTER'21 EEHPCWG SoP Workshop.
Awards

Community recognitions

Research accomplishment award
UT-Battelle, LLC ∙ November 2022
The Research Accomplishment Award at the 2022 UT-Battelle Awards Night which is a recognition across ORNL in the year 2022.
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Best paper award
The SC Papers Committee ∙ November 2021
Selected by the SC Papers Committee as the best paper from the conference’s Technical Program in 2021.
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Best paper award
The IEEE BigComp 2015 Technical Program Committee ∙ February 2015
Selected by the IEEE BigComp 2015 technical program committee as the best paper
Technology Innovation Award
TmaxSoft ∙ June 2010
Recognition from the organization given to employees who made significant technical impact in the year 2010.
Talks

Invited talks, panels, and presentations

Community and Professional Services

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC25)

  • Technical Program Proceedings Vice Chair

International Parallel Data Systems Workshop (PDSW24), 2024

  • Program Committee Member

Sustainable Supercomputing Workshop (SusSup24), 2024

  • Program Committee Member

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24) State of Practice, 2024

  • Technical Program Committee Member

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23) - Birds of a Feather on Operational Data Analytics, 2023

  • Co-organizer, BoF discussion moderator

International Parallel Data Systems Workshop (PDSW23), 2023

  • Program Committee Member

Smoky Mountain Computational Sciences & Engineering Conference, 2023

  • Program Committee Member, Data Sponsor

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) - Birds of a Feather on Operational Data Analytics, 2022

  • Co-organizer, panel speaker

AI for Data Center Optimization Workshop (ADOPT 22), 2022

  • Program Committee Member

Smoky Mountain Computational Sciences & Engineering Conference, 2021

  • Program Committee Member

Energy Efficient High-Performance Computing Working Group State of Practice Workshop, 2021

  • Program Committee Member

Energy Efficient High-Performance Computing Working Group Workshop, 2020

  • Organizing Committee Member / Session Lead & Moderator - ARM Operational Experiences

Energy Efficient High-Performance Computing Working Group State of Practice Workshop, 2020

  • Program Committee Member

Cluster Computing - The Journal of Networks, Software Tools and Applications, 2019

  • Reviewer – Volume 22, Issue 2 – Special Issue - Storage System Challenges for Big Data
Professional Organizations

Energy-efficient HPC Working Group (https://eehpcwg.llnl.gov), 2019 ~ current

Operational Data Analytics Team, General member