Kholod presents at the 2023 NSS MIC RTSD conference
NML student Kholod Mahmoud presented her work on enhancing Positron Emission Tomography using the positron annihilation lifetime spectroscopy technique at the 2023 NSS MIC RTSD conference.
Prof. Di Fulvio Promoted to Associate Professor
Prof. Angela Di Fulvio has been promoted to Associate Professor. Congratulations, Angela! Read more here.
Jianxin Passes PhD Preliminary Exam
Congratulations to NML student Jianxin Zhou, who has just passed his prelim and becomes a PhD Candidate! His thesis project is on “Machine-learning Models and Shielding Materials for Radiation Protection of Patients and Personnel in Particle Therapy”.
John attended the International Nuclear Data and Analytical Techniques (INDAT) Summer School
NML student John Leland attended the International Nuclear Data and Analytical Techniques (INDAT) Summer School cohosted by UC Berkeley and UC Davis. This program consists of lectures and hands-on activities involving nuclear detection, analysis techniques, and aspects of the nuclear data pipeline, from measurement and modeling to compilation and evaluation.
John and Jacob presenting at the 2023 UPR Meeting
NML students John Leland and Jacob Fritchie presented their work at the 2023 UPR Meeting.
Jacob and Ming presented at the INMM&ESARDA 2023 Joint Annual Meeting
Jacob presented his work on experimental characterization of silicon photomultipliers, and Ming presented the work on the assay of spent TRISO fuel using a neutron multiplicity counter with gamma sensitivity of 10-12.
Jacob, Jianxin and Ming presented at the 2022 IEEE NSS MIC RTSD
Matthew and Ming give two oral presentations at the 63rd INMM Annual Meeting
Ming presented his work on “Boron Coated Straw-based Neutron Multiplicity Counter for Neutron Interrogation of TRISO Fueled Pebbles”, and Matthew presented the work entitled “Characterization of Shielded Special Nuclear Materials through Neutron Spectroscopy”.
Congratulations to Ming for winning the Second Place Student Paper Award!
Ming gives an oral presentation at the 2020 IEEE NSS-MIC
Ming presents his work on the “Quantitative Imaging and Automated Fuel Pin Identification in Passive Gamma Emission Tomography” at the 2020 IEEE NSS-MIC.