Joel Greenberg, PhD

Associate Research Professor in the Department of Electrical and Computer Engineering
Address: Box 90291, Dept of Ece
Durham, NC 27708
Phone: (919) 660-0183
Email: joel.greenberg@duke.edu

Research Interests

Dr. Greenberg's research is in the area of computational imaging with a focus on physics-based modeling and system-level design from fundamental science through algorithm implementation.  His work spans the electromagnetic spectrum, with a focus on X-ray and visible imaging and detection systems for security and medical applications.  

Publications

Stryker, Stefan, et al. “Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.Medical Physics, vol. 49, no. 1, Jan. 2022, pp. 532–46. Epmc, doi:10.1002/mp.15366.

Stryker, Stefan, et al. “X-ray fan beam coded aperture transmission and diffraction imaging for fast material analysis.Sci Rep, vol. 11, no. 1, May 2021, p. 10585. Pubmed, doi:10.1038/s41598-021-90163-0.

Stryker, Stefan, et al. “Simulation based evaluation of a fan beam coded aperture x-ray diffraction imaging system for biospecimen analysis.Physics in Medicine and Biology, vol. 66, no. 6, Mar. 2021, p. 065022. Epmc, doi:10.1088/1361-6560/abe779.

Greenberg, J. A., et al. “Design and analysis of a hybrid X-ray transmission and diffraction system.” Proceedings of Spie  the International Society for Optical Engineering, vol. 11738, 2021. Scopus, doi:10.1117/12.2585640.

Greenberg, J. A., et al. “Concealed drug detection via fan beam coded-aperture X-ray diffraction imaging.” Proceedings of Spie  the International Society for Optical Engineering, vol. 11738, 2021. Scopus, doi:10.1117/12.2587061.

Greenberg, J. A., et al. “The all-seeing baggage scanner.” Ieee Spectrum, vol. 57, no. 7, July 2020, pp. 22–27. Scopus, doi:10.1109/MSPEC.2020.9126107.

Ding, Y., et al. “Task-specific information in X-ray diffraction and transmission modalities: A comparative analysis.” Proceedings of Spie  the International Society for Optical Engineering, vol. 11404, 2020. Scopus, doi:10.1117/12.2558267.

Coccarelli, D., et al. “Modeling realistic virtual objects within a high-throughput X-ray simulation framework.” Proceedings of Spie  the International Society for Optical Engineering, vol. 11404, 2020. Scopus, doi:10.1117/12.2558947.