2022 July

Christina Hall defended her thesis proposal

Christina Hall successfully defended her thesis proposal entitled “Assessing Air Pollution Using Spanish Moss as a Bioindicator in the Low Country of Savannah River Basin“ on July 14, 2022. She proposed to study the pollutants in Spanish Moss with the Instrumental Neutron Activation Analysis. The committee includes Dr. Zaijing Sun (chair), Dr. Steen Madsen, Dr. Carson Riland, and Dr. Alexander Barzilov.

Peter Dimpfl passed his thesis defense

Peter Dimpfl successfully defended his thesis entitled “Monte Carlo Simulation of Thallium-Bromide Semiconductor Detector for Range Verification of a Carbon Ion Radiotherapy Beam Through Prompt Gamma-Ray Detection” on June 17, 2022. In this study, Monte Carlo simulations were completed to evaluate TlBr performance in the detection of prompt gamma rays generated from the irradiation of a Polymethyl methacrylate (PMMA) phantom with carbon ions. TlBr was able to detect the prompt Gamma-Ray profiles of three different materials (cortical bone, adipose tissue, PMMA) with correlation to actual simulated Bragg peaks. The committee includes Dr. Yu Kuang (chair), Dr. Zaijing Sun, Dr. Steen Madsen, and Dr. Hui Zhao.

Published: Biswaljit Biswal and Zaijing Sun

Zaijing Sun (Health Physics and Diagnostic Sciences of UNLV) and his collaborators,  Biswajit Biswal (Mathematics and Computer Sciences of SCSU), and Andrew Duncan (Material Sciences and Technology of SRNL) published an article “ADA: Advanced Data Analytics Methods for Abnormal Frequent Episodes in the Baseline Data of ISD” in the Journal of Nuclear Engineering and Technology. In this study, Advanced Data Analytics (ADA) methods are applied to the big data generated by the In-situ Decommissioning (ISD) Sensor Network Test Bed at the Savannah River Site. Advanced analytics engine, a framework of data analytics, feature engineering, and machine learning, is introduced to discover abnormal frequent episodes in the big datasets, which lead to the early indicators of ISD system failures.