Mackenzie Duce

Georgia Institute of Technology

Papers

1

Total Citations

1

H-Index

1

About

Mackenzie Duce is a researcher specializing in radiation detection, source term estimation, and nuclear security, with a focus on advancing computational methods for real-time radiological analysis. Their major contribution lies in developing a parallel log-domain particle filtering algorithm that integrates gamma spectrum unfolding to simultaneously localize, identify, and quantify multiple radioactive point sources, even in environments with attenuating obstacles. This work, published in 2024, has garnered initial citations for its innovative approach to solving complex inverse problems in radiological source term estimation. By leveraging precomputed attenuation data, Duce’s method enhances the speed and accuracy of isotopic identification, offering practical applications in nuclear safety, emergency response, and environmental monitoring. While still early in their career, their research demonstrates significant potential to improve how we detect and characterize hidden or dispersed radioactive materials. Duce’s contributions are particularly relevant for researchers and practitioners in nuclear engineering, radiation physics, and homeland security, where precise source localization and isotopic analysis are critical for safeguarding public health and national security.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Radiological Source Term Estimation and Isotopic Identification With Parallel Log Domain Particle Filters
1 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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