Michael Eric Gehm

Affiliations: 
2007-2013 ECE University of Arizona, Tucson, AZ 
 2013- ECE Duke University, Durham, NC 
Area:
Computational sensing
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"Michael Gehm"
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John Edward Thomas grad student 2003 Duke
 (Preparation of an optically-trapped degenerate Fermi gas of 6Li: Finding the route to degeneracy.)
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Publications

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Li X, Stevens A, Greenberg JA, et al. (2018) Single-shot memory-effect video. Scientific Reports. 8: 13402
Landry DMW, Kim W, Amsden JJ, et al. (2017) Effects of Magnetic and Electric Field Uniformity on Coded Aperture Imaging Quality in a Cycloidal Mass Analyzer. Journal of the American Society For Mass Spectrometry
Gong Q, Vera E, Golish DR, et al. (2017) Model-Based Multiscale Gigapixel Image Formation Pipeline on GPU Ieee Transactions On Computational Imaging. 3: 493-502
Dunlop-Gray M, Poon PK, Golish D, et al. (2016) Experimental demonstration of an adaptive architecture for direct spectral imaging classification. Optics Express. 24: 18307-18321
Poon PK, Vera E, Gehm ME. (2016) Computational hyperspectral unmixing using the AFSSI-C Electronic Imaging. 9870: 987003
Gehm ME. (2016) Adaptive architectures for spectral processing Proceedings of Spie. 9761
Poon PK, Vera E, Gehm ME. (2015) Hyperspectral Unmixing using the AFSSI-C Rundbrief Der Gi-Fachgruppe 5.10 Informationssystem-Architekturen
Heimbeck MS, Ng WR, Golish DR, et al. (2015) Terahertz digital holographic imaging of voids within visibly opaque dielectrics Ieee Transactions On Terahertz Science and Technology. 5: 110-116
Marks DL, Llull PR, Phillips Z, et al. (2014) Characterization of the AWARE 10 two-gigapixel wide-field-of-view visible imager. Applied Optics. 53: C54-63
Dunlop-Gray M, Poon P, Vera E, et al. (2014) Experimental validation of the adaptive feature-specific spectral imaging classifier (AFSSI-C) Frontiers in Optics, Fio 2014
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