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Lieutenant Colonel Casey Pellizzari

Assistant Professor of Physics

Department of Physics

Casey J. Pellizzari
Contact Information

(719) 333-3596

Email

Bio

Lt Col Casey Pellizzari is an Assistant Professor in the Department of Physics, U.S. Air Force Academy, Colorado Springs, Colorado. He entered the Air Force in 2005 as a graduate from California State University of Fullerton.  Lt Col Pellizzari earned a doctorate in electrical engineering from Purdue University and continues his research in computational sensing, directed energy, and space domain awareness.  He has served with the Air Force Research Laboratory, Headquarters US Central Command, and the Electronic Systems Center out of Hanscom Air Force Base.

Education

Master of Military Operational Art and Science, USAF Air Command and Staff College (2018)

Doctor of Philosophy, Electrical Engineering, Purdue University, Indiana (2017)

Master of Science, Electrical Engineering, Air Force Institute of Technology, Wright-Patterson AFB, Ohio (2010)

Bachelor of Science, Electrical Engineering, California State University of Fullerton, California (2005)

Professional Experience

Assistant Professor of Physics, Department of Physics, United States Air Force Academy, Colorado (2018-Present)

Vice-Chair, Laser Systems Technical Group, Optical Society of America (2019-Present)

Elected Member – Computational Imaging Technical Committee, IEEE Signal Processing Society, (2020-Present)

Graduate Student, USAF Air Command and Staff College, Montgomery, Alabama (2017-2018)

Graduate Student, Purdue University, Indiana (2014-2017)

Lead Engineer, Deep-Space Imaging Research and Development team, Air Force Research Laboratory, Directed Energy Directorate, Maui, Hawaii (2011-2014)

History Technician, Commander’s Special Staff, Headquarters, US Central Command, MacDill AFB, Florida (2013-2014)

Director of Imaging, Air Force Research Laboratory, Directed Energy Directorate, Maui, Hawaii (2010-2011)

Graduate Student, Air Force Institute of Technology, Wright-Patterson AFB, Ohio (2008-2010)

Force Protection Technical Project Engineer, 642nd Electronic Systems Squadron, Electronic Systems Center, Hanscom AFB, Massachusetts (2005-2008)

Honors & Awards

McGrath Award for Junior Instructor of the Year, 2019, Department of Physics, Department of Faculty, United States Air Force Academy

Field Grade Officer of the Year, 2019, Department of Physics, Department of Faculty, United States Air Force Academy

Field Grade Officer of the Quarter, 1st Qtr, 2019, Basic Sciences Division, Department of Faculty, United States Air Force Academy

Editor’s Pick, Journal of the Optical Society of America A., Optical Society of America (OSA), 2018

Editor’s Pick, Applied Optics, OSA, 2017

Mid-Career Military Scientist/Engineer Award, AFRL, Directed Energy Directorate, 2013

Company Grade Officer of the Quarter, AFRL, Directed Energy Directorate, 2013

Junior Science & Technology Achievement of the Year, AFRL, Directed Energy Directorate, Beam Control Division, 2012

Junior Science & Technology Achievement of the Year, AFRL, Directed Energy Directorate, Beam Control Division, 2011

Company Grade Officer of the Quarter, AFRL, Directed Energy Directorate, 2011

Commandant’s Award: Best Thesis in Graduate School of Eng., Air Force Institute of Technology, 2010

Distinguished Graduate, Air Force Institute of Technology, 2010

Tau Beta Pi Best Thesis Award, Ohio Eta Chapter, 2010

Junior Science & Technology Achievement of the Quarter, Beam Control Division, 2010

Research and Scholarly Interests

Computational sensing

Space situational awareness

Atmospheric sensing

Directed-energy beam control

Machine Learning

Non-conventional imaging modalities

Publications

Patents:

C. J. Pellizzari, M. F. Spencer, and C. A. Bouman, “Method of Single Shot Imaging for Correcting Phase Errors,” U.S. Patent No. 10591871, Date of Issue, 17 Mar 2020

C. J. Pellizzari, M. F. Spencer, and C. A. Bouman, “Single Shot Imaging Using Digital Holography Receiver,”  U.S. Patent No. 15/914897, Date of Issue, 17 Sep 2019

Journal Articles:

C. J. Pellizzari, M. F. Spencer, and C. A. Bouman, “Coherent Plug-and-Play: Digital holographic imaging through atmospheric turbulence using model-based iterative reconstruction and convolutional neural networks.” IEEE Transactions on Computational Imaging, 6 (2020): 1607-1621

C. J. Radosevich, C. J. Pellizzari, S. Horst, and M. F. Spencer, “Imaging through deep turbulence using single-shot digital holography data.” Optics Express (2020).

C. J. Pellizzari, M. F. Spencer, and C. A. Bouman, “Imaging through distributed-volume aberrations using single-shot digital holography.” Journal of the Optical Society of America (JOSA) A 36.2 (2019): A20-A33.

C. J. Pellizzari, M. T. Banet, M. F. Spencer, and C. A. Bouman, “Demonstration of single-shot digital holography using a Bayesian framework,” J. Opt. Soc. Am. A 35(1), 103-107 (2018).

Received OSA’s “Editor’s Pick” for “excellent scientific quality”

C. J. Pellizzari, M. F. Spencer, and C. A. Bouman, “Phase-error estimation and image reconstruction from digital-holography data using a Bayesian framework,” J. Opt. Soc. Am. A 34(9), 1659-1669 (2017).

C. J. Pellizzari, R. Trahan, H. Zhou, S. Williams, S. E. Williams, B. Nemati, M. Shao, and C. A. Bouman, “Optically coherent image formation and denoising using a plug and play inversion framework,”, App. Opt 56(16), 4735-4744 (2017).

Received OSA’s “Editor’s Pick” for “excellent scientific quality”

C. J. Pellizzari, R. Trahan, H. Zhou, S. Williams, S. E. Williams, B. Nemati, M. Shao, and C. A. Bouman, “Synthetic Aperture LADAR: A Model-Based Approach,” IEEE Transactions on Computational Imaging, Vol 3, Issue 4, 901-916 (2017).

Peer-Reviewed Conference Papers:

J. Pellizzari, M. F. Spencer, B. Calef, J. P. Bos, S. Williams, D. C. Senft, and S. E. Williams, “Performance Characterization of Phase Gradient Autofocus for Inverse Synthetic Aperture LADAR,” Proc. IEEE Aerospace Conf. (2014).

C.J. Pellizzari and J. D. Schmidt, “Phase unwrapping in the presence of strong turbulence,” Proc. IEEE Aerospace Conf. (2010).

Conference Papers and Presentations:

C. J. Pellizzari, M. F. Spencer, and C. A. Bouman, “Coherent Image Reconstruction Using Deep Neural Networks”, Invited presentation, OSA’s Imaging and Applied Optics Congress, (2021).

T. Bate, C.J. Pellizzari, M. F. Spencer, “Model-based digital holographic imaging using mulit-shot data.” Unconventional Imaging and Adaptive Optics 2021. Vol. 11836. International Society for Optics and Photonics, (2021).

C. A. Bouman, M. F. Spencer, and C. J. Pellizzari, “Coherent Plug-and-Play: A Framework for Integrating AI and Physical Models in Coherent Optical Imaging Problems”, Invited presentation, OSA’s Imaging and Applied Optics Congress, (2020).

S. Horst, C. J. Radosevich, C. J. Pellizzari, and M. F. Spencer, “Measuring the Fried parameter of transmissive phase screens using digital-holographic detection.” Proc. SPIE’s Optics and Photonics, (2019).

C. J. Pellizzari, M. F. Spencer, and C. A. Bouman. “Coherent-Image Reconstruction Using Convolutional Neural Networks.” Proc. OSA’s Imaging and Applied Optics Congress, (2019).

C. J. Pellizzari, D.E. Thornton, C. Vikupitz, M. Cooper, and M. F. Spencer, “A STEM outreach tool for demonstrating the sensing and compensation of atmospheric turbulence,” Proc. SPIE’s Education in optics and photonics (ETOP), (2019).

C. J. Pellizzari, M. F. Spencer, and C. A. Bouman, “Optically coherent image reconstruction in the presence of phase errors using advanced-prior models,” Proc. SPIE 10650, 106500B (2018).

C. J. Pellizzari and C. A. Bouman, “Inverse synthetic aperture ladar image construction: An inverse model-based approach,” Proc. SPIE 9982, 99820F (2016).

C. J. Pellizzari, M. F. Spencer, N. Steinhoff, J. Belsher, G. Tyler, S. Williams, and S. Williams, “Inverse synthetic aperture ladar: a high-fidelity modeling and simulation tool,” Proc. SPIE 8877, 88770B (2013).

C. J. Pellizzari, R. Holmes, and K. Knox, “Intensity interferometry experiments and simulations,” Proc. SPIE 8520, 85200J (2012).

C. J. Pellizzari, “Long Range Imaging LADAR (LRIL) for GEO Imaging,” Massachusetts Institute of Technology’s (MIT) Lincoln Laboratory Space Control Conference (2012).

C. J. Pellizzari, C. L. Matson, and R. Gudimetla, “Inverse Synthetic Aperture LADAR for Geosynchronous Space Objects-Signal-to-Noise Analysis,” Proc. Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference (2011).