David J. Brady

J.W. and H.M. Goodman Endowed Chair Professor

Meinel 429, College of Optical Sciences, University of Arizona, 1630 E. University Blvd., Tucson, AZ 85721

+1 (520) 626-1078

Employment

  • J.W. and H.M. Goodman Endowed Chair in Optical Sciences, University of Arizona, Wyant College of Optical Sciences, 2021-present
  • Michael J. Fitzpatrick Professor of Photonics: Duke University, Pratt School of Engineering, 2009-2020
  • Professor of Electrical and Computer Engineering: Duke Kunshan University, 2016-2019
  • Addy Family Professor of Electrical & Computer Engineering: Duke University, Pratt School of Engineering, 2002-2007
  • Director: Duke University, Fitzpatrick Institute for Photonics, 2001-2005
  • Professor of Electrical and Computer Engineering: Duke University, Pratt School of Engineering, 2001-2020
  • Professor of Electrical and Computer Engineering: University of Illinois, Grainger College of Engineering, 1990-2000
  • Co-Founder and Chairman: Aqueti, 2012-present
  • Chairman: Applied Quantum Technologies, 2008-present
  • Founder & Chief Scientist: Blue Angel Optics Corporation, 2006-2008
  • Founder & Chief Scientist: Centice Corporation, 2003-2013

Awards and Honors

  • SPIE: Dennis Gabor Award. 2013
  • IEEE: Fellow, 2009
  • SPIE: Fellow, 2007
  • OSA: Fellow, 2003

Research Summary

Brady focuses on computational imaging. Brady led the joint Duke University and University of Arizona team that built the world’s first gigapixel camera in 2012. His subsequent work has focused on reducing the size, weight, power and cost of gigapixel cameras while also improving depth of field, color fidelity, frame frame rate and other measures of image quality. Brady’s current work focuses on aperture synthesis and interferometric super-resolution techniques to continue to push the physical limits of optical sensing. His lab relies heavily on artificial neural networks for camera system control, data management and image estimation. He has also pioneered compressive tomographic imaging systems for efficient hyperspectral, high frame rate, x-ray and millimeter wave imaging.

Education

  • Ph.D., California Institute of Technology, Pasadena, 1990
  • M.S., California Institute of Technology, Pasadena, 1986
  • B.S., Macalester College, Saint Paul, 1984

Selected Publications

  1. David J. Brady, Lu Fang, Zhan Ma, "Deep learning for camera data acquisition, control, and image estimation," Advances in Optics and Photonics 12 (4) : 787, nov. 2020.
  2. David J. Brady, Alex Mrozack, Ken MacCabe, Patrick Llull, "Compressive tomography," Advances in Optics and Photonics 7 (4) : 756, nov. 2015.
  3. David J. Brady, Wubin Pang, Han Li, Zhan Ma, Yue Tao, Xun Cao, "Parallel cameras," Optica 5 (2) : 127, jan. 2018.
  4. Xin Yuan, David J. Brady, Aggelos K. Katsaggelos, "Snapshot Compressive Imaging: Theory, Algorithms, and Applications," IEEE Signal Processing Magazine 38 (2) : 65–88, mar. 2021.
  5. D. J. Brady, M. E. Gehm, R. A. Stack, D. L. Marks, D. S. Kittle, D. R. Golish, E. M. Vera, S. D. Feller, "Multiscale gigapixel photography," Nature 486 (7403) : 386–389, jun. 2012.
  6. David J. Brady, Kerkil Choi, Daniel L. Marks, Ryoichi Horisaki, Sehoon Lim, "Compressive Holography," Optics Express 17 (15) : 13040, jul. 2009.
  7. Gonzalo R. Arce, David J. Brady, Lawrence Carin, Henry Arguello, David S. Kittle, "Compressive Coded Aperture Spectral Imaging: An Introduction," IEEE Signal Processing Magazine 31 (1) : 105–115, jan. 2014.
  8. Xun Cao, Tao Yue, Xing Lin, Stephen Lin, Xin Yuan, Qionghai Dai, Lawrence Carin, David J. Brady, "Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world," IEEE Signal Processing Magazine 33 (5) : 95–108, sep. 2016.
  9. Daniel L. Marks, Ronald A. Stack, David J. Brady, David C. Munson, Rachael B. Brady, "Visible Cone-Beam Tomography With a Lensless Interferometric Camera," Science 284 (5423) : 2164–2166, jun. 1999.
  10. John Hunt, Tom Driscoll, Alex Mrozack, Guy Lipworth, Matthew Reynolds, David Brady, David R. Smith, "Metamaterial Apertures for Computational Imaging," Science 339 (6117) : 310–313, jan. 2013.
  11. Demetri Psaltis, David Brady, Xiang-Guang Gu, Steven Lin, "Holography in artificial neural networks," Nature 343 (6256) : 325–330, jan. 1990.

Books and Chapters

  1. David J. Brady, "Optical Imaging and Spectroscopy," 2008.