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Welcome to my personal github repository

Bio:

Adam Drescher is a Research & Development Program Manager in the Nonproliferation & Arms Control group at Y-12 National security complex. In this role, Adam writes, manages, executes, and documents R&D projects for the National Nuclear Security Administration. Adam’s research primarily leverages data science and machine learning to develop algorithms that directly address current challenges relevant to national security.

Prior to working at Y-12, Adam was a Postdoctoral Research Associate in the Nuclear Security Modeling Group of the Nuclear Nonproliferation Divsion at Oak Ridge National Laboratory. In this role, Adam analyzed records in nuclear material control and accountability systems to identify erroneous transactions, developed statistical tests to characterize the performance of machine learning algorithms, and developed an algorithm for piecewise regression models as an extension of conventional decision tree classifiers.

Adam holds his B.S. in Physics, M.S. in Nuclear and Radiation Engineering, and Ph. D. in Nuclear and Radiation Engineering from The University of Texas at Austin. His dissertation work developed machine learning models which can estimate the enrichment of irradiated uranium specimens based off of emitted gamma-ray signatures without precisely constraining the decay time of those specimens. Throughout graduate school, Adam was a fellow of the Consortium for Nonproliferation Enabling Capabilities.

Publications

This section lists my peer-reviewed journal publications, conference proceedings, Master’s Thesis, and Doctoral Dissertation.

Doctoral Dissertation

Leveraging Machine Learning Capabilities for the Characterization of Irradiated Uranium: A Case Study of Prediction Methods for Nuclear Safeguards and Nuclear Forensics

Master’s Thesis

Characterization of LaBr3:Ce Detectors in a Gamma-Gamma Coincidence Configuration

Journal of Radioanalytical and Nuclear Chemistry

A. Drescher et al., Gamma-gamma coincidence in neutron activation analysis, Journal of Radioanalytical and Nuclear Chemistry, Volume 318, October 2018, Pages 527-532, ISSN 1588-2780. https://doi.org/10.1007/s10967-018-6033-8

Applied Radiation and Isotopes

A. Drescher et al., Gamma-gamma coincidence performance of LaBr3:Ce scintillation detectors vs HPGe detectors in high count-rate scenarios, Applied Radiation and Isotopes, Volume 122, April 2017, Pages116-12-, ISSN 0969-8043. https://doi.org/10.1016/j.apradiso.2017.01.012.

Conference Presentations & Proceedings

Institute of Nuclear Materials Management

Leveraging Machine Learning Capabilities for the Characterization of Irradiated Uranium: A Case Study of Analysis Methods for Nuclear Safeguards and Nuclear Forensics

Machine Learning Approaches on Nuclear Material Accounting Data from Irradiation and Reprocessing

European Research Reactor Conference

The Complete Neutron Activation Analysis Laboratory: Thermal, Epithermal, Cyclic, Compton Suppression, Gamma-Gamma Coincidence and Prompt Gamma Facilities and Specific Radioprotection Guidelines

26th International Conference on Nuclear Engineering

Revamping of a Graduate Radiochemistry Course for Nuclear Forensics Applications

Methods and Applications of Radioanalytical Chemistry

Neutron ACtivation Analysis and Gamma-Gamma Coincidence

IEEE Nuclear Science Symposium & Medical Imaging Conference

Developing Support Vector Machine Prediction Capabilities of Uranium Enrichment Based on Gamma-Gamma Coincidence Signatures

Global International Nuclear Fuel Cycle Conference

Modeling a U.S. Equilibrium Closed Fuel Cycle with Waste Product Comparisons

Academic Honors & Awards

Graduate Dean’s Prestigious Fellowship Supplement

The University of Texas at Austin

Graduate Fellow, Consortium for Nonproliferation Enabling Capabilities

Consortium for Nonproliferation Enabling Capabilities

Thrust 2000 - John M. Stemmons Graduate Endowed Fellowship in Engineering

Cockrell School of Engineering

University Honors

University of Texas at Austin

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