
Bio
Dr. Sudip Seal is a Distinguished R&D Staff and leads the Systems and Decision Sciences Group of the Mathematics in Computation Section in the Computer Science and Mathematics Division, Oak Ridge National Laboratory. He is a Joint ORNL-UT Faculty in the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville. He holds a PhD in computer engineering and a PhD in theoretical high energy physics and specializes in the design, development and analysis of scalable algorithms for traditional and AI-driven methods in large-scale science and engineering applications. During his career in ORNL, Dr. Seal has held leadership roles (PI, Co-PI, Task-/Thrust-Lead) in multi-disciplinary research projects totaling over $55M. He currently leads the core CCSD LDRD Initiative called FORESEE (Foundational Research for Smart Extreme-scale Ecosystems). Dr. Seal is an Associate Editor of the Journal of Parallel and Distributed Computing and routinely serves in the program and organizing committees of most leading international conferences in high-performance computing.
Research Interests
- Design, analysis and development of scalable algorithms for extreme-scale scientific computing and AI/ML workloads
- Data intensive computing; Extreme-scale parallel simulations; Architecture-aware parallel algorithms
- Numerical algorithms; Computational fusion sciences; Computational materials science
- Extreme-scale energy-aware computing
Awards
- Best Paper Award (2024), ACM SIGSIM Principles of Advanced Discrete Simulation (PADS), USA
- Best Paper Honorable Mention Award (2024), IEEE BigData, USA
- Paramount Accomplishment Award (2024), Oak Ridge National Laboratory, USA
- Significant Event Award (2017), Oak Ridge National Laboratory, USA
- Runner-up Best Paper Award (2016), Intl. Conf. on Parallel Processing, USA
- Featured Article (2016), Journal of Plasma Physics, 82(2)
- Outstanding Contribution in Reviewing (2016), Journal of Parallel and Distributed Computing
- Significant Event Award (2014), Oak Ridge National Laboratory, USA
- Best Paper Finalist (2010), SimuTools, EAI, USA
- Best Paper Finalist (2010), ACM Principles of Advanced Discrete Simulation (PADS), USA
- Best Student Paper Award (2000), American Physical Society (4CS), USA
- Council of Scientific and Industrial Research Fellowship (≤ 4% acceptance rate, ∼ 7550/225889), Government of India
- Graduate Aptitude Test for Engineering Fellowship (∼ 15% acceptance rate, ∼ 102700/685088), Government of India
- University Grants Commission Fellowship (≤ 1% acceptance rate, ∼ 10/1200), Government of India
- National Talent Search Examination Scholarship (≤ 1% acceptance rate, ∼ 2000/300000), Government of India
Education
- PhD, Computer Engineering, Iowa State University, USA, 2007
- PhD, Theoretical High Energy Physics, New Mexico State University, USA, 2002