CNERG / Members of CNERG Community

Jordan Stomps

PhD Candidate

stomps@wisc.edu

Oak Ridge National Laboratory
1 Bethel Valley Road
Oak Ridge, TN 37831

icon for email icon for github icon for linkedin icon for orcid icon for scholar

Biography

Jordan’s research focuses on machine learning applications to nuclear nonproliferation. In particular, he is using gamma radiation measurements collected for the NNSA NA-22 Multi-Informatics for Nuclear Operations Scenarios testbed at Oak Ridge National Laboratory to train models capable of detecting shielded radiological material transfers. State-of-the-art artificial intelligence techniques require large volumes of labeled data to train a successful model. Characterizing radiation data often involves manual analysis by subject-matter experts which is time consuming, resource intensive, and unfeasible for leveraging machine learning. Jordan is addressing this by using semi-supervised machine learning to utilize labeled and unlabeled radiation measurements to design models that can be used for more informed decisions and resource efficiency in nuclear security. His research is supported by the NNSA Consortium for Enabling Technology and Innovation (ETI) under the computer and engineering sciences for nonproliferation thrust. Originally from Detroit, Jordan spends his free time gardening and cooking with his wife, daughter, and dog.

For more information on recent research, please review this publication.

Research Interests

  • Semi-Supervised Machine Learning
  • Nuclear Nonproliferation
  • Artificial Intelligence
  • Data Science and Analysis
  • Fuel Cycle Analysis
  • Scientific Computing
  • Radiation Detection
  • Anomaly Detection

Education

  • University of Wisconsin, Madison, WI [PhD. Graduate Student, Nuclear Engineering & Engineering Physics]
  • University of Wisconsin, Madison, WI [M.S. Nuclear Engineering & Engineering Physics, 2021]
  • Michigan State University, East Lansing, MI [BS Physics, 2019]

icon for email icon for twitter icon for github icon for zotero

© 2020-2024 Computational Nuclear Engineering Research Group
Reliable Software Tools for the Analysis of Complex Nuclear Energy Systems

Powered by Bootstrap 4 Github Pages