Steven R. Young

Researcher, Computer Science and Mathematics, Oak Ridge National Laboratory

Joined

December 2017

Names

Steven R. Young

Steven Robert Young

Steven Young

Emails

****@utk.edu (Confirmed)

****@gmail.com (Confirmed)

****@ornl.gov (Confirmed)

Personal Links

Career & Education History

Researcher

Computer Science and Mathematics, Oak Ridge National Laboratory (ornl.gov)

2016 – Present

Postdoc

Computational Sciences and Engineering, Oak Ridge National Laboratory (ornl.gov)

2014 – 2016

PhD student

Electrical Engineering and Computer Science, University of Tennessee, Knoxville (eecs.utk.edu)

2010 – 2014

Advisors, Relations & Conflicts

PhD Advisor

Itamar Arel

2009 – 2014

Expertise

adversarial machine learning

2022 – Present

deep learning

2010 – Present

Publications

Neuromorphic Computing for Scientific Applications
Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman
- Published: 01 Jan 2022, Last Modified: 06 Nov 2023
- RSDHA@SC 2022
- Readers: Everyone
Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
- Published: 01 Jan 2022, Last Modified: 06 Nov 2023
- IEEE Trans. Control. Syst. Technol. 2022
- Readers: Everyone
Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
- Published: 01 Jan 2021, Last Modified: 06 Nov 2023
- IEEE Control. Syst. Lett. 2021
- Readers: Everyone
Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
- Published: 01 Jan 2021, Last Modified: 06 Nov 2023
- ACC 2021
- Readers: Everyone
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach
Maryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy
- Published: 01 Jan 2021, Last Modified: 06 Nov 2023
- ICONS 2021
- Readers: Everyone
Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge
Catherine D. Schuman, Steven R. Young, Bryan P. Maldonado, Brian C. Kaul
- Published: 01 Jan 2021, Last Modified: 06 Nov 2023
- IGSC (Workshops) 2021
- Readers: Everyone
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy
- 2020 (modified: 04 Nov 2025)
- CoRR 2020
- Readers: Everyone
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency
Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul
- Published: 01 Jan 2020, Last Modified: 06 Nov 2023
- IGSC (Workshops) 2020
- Readers: Everyone
Accelerating Scientific Computing in the Post-Moore's Era
Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, Travis S. Humble
- Published: 01 Jan 2020, Last Modified: 06 Nov 2023
- ACM Trans. Parallel Comput. 2020
- Readers: Everyone
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy
- Published: 01 Jan 2020, Last Modified: 06 Nov 2023
- IJCNN 2020
- Readers: Everyone

View all 27 publications

Co-Authors

View all 48 co-authors