David J. Brady

Michael J. Fitzpatrick Distinguished Professor Emeritus of Photonics

David Brady leads the Duke Information Spaces Project (DISP). Historically, DISP has focused on computational imaging systems, with particular emphasis on smart cameras for security, consumer, transportation and broadcast applications. Currently DISP focuses primarily on the use of artificial intelligence in camera arrays for interactive broadcasting.

Appointments and Affiliations

  • Michael J. Fitzpatrick Distinguished Professor Emeritus of Photonics
  • Professor Emeritus in the Department of Electrical and Computer Engineering
  • Bass Fellow

Contact Information

Education

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

Research Interests

Professor Brady's research focuses on "smart cameras" which use artificial intelligence to increase the amount of visual information captured and to render this information useful. In 2012 his group built the world's first gigapixel camera, his work today focuses on making gigapixel media and interactive virtual reality broadcasting ubiquitous. 

Awards, Honors, and Distinctions

  • Dennis Gabor Award. International Society for Optics and Photonics. 2013
  • Fellows. Institute for Electrical and Electronics Engineers. 2009
  • Fellow. International Society for Optics and Photonics. 2007
  • Fellows. Optical Society of America. 2004
  • Fellowships for Science and Engineering. David and Lucile Packard Foundation. 1990

Courses Taught

  • ECE 891: Internship

In the News

Representative Publications

  • Kuznetsov, A. I., M. L. Brongersma, J. Yao, M. K. Chen, U. Levy, D. P. Tsai, N. I. Zheludev, et al. “Roadmap for Optical Metasurfaces.” ACS Photonics 11, no. 3 (March 20, 2024): 816–65. https://doi.org/10.1021/acsphotonics.3c00457.
  • Huang, Q., Z. Dong, G. Nero, Y. Takashima, T. J. Schulz, and D. J. Brady. “Synthetic Aperture Scatter Imaging.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17 (January 1, 2024): 696–704. https://doi.org/10.1109/JSTARS.2023.3329776.
  • Suo, J., W. Zhang, J. Gong, X. Yuan, D. J. Brady, and Q. Dai. “Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision.” Proceedings of the IEEE 111, no. 12 (December 1, 2023): 1607–39. https://doi.org/10.1109/JPROC.2023.3338272.
  • Guzmán, Felipe, James Skowronek, Esteban Vera, and David J. Brady. “Compressive video via IR-pulsed illumination.” Optics Express 31, no. 23 (November 2023): 39201–12. https://doi.org/10.1364/oe.506011.
  • Guzmán, F., B. Romero, D. J. Brady, and E. Vera. “An scalable coding strategy for high resolution snapshot compressive temporal imaging at high compression ratios.” In Computational Optical Sensing and Imaging in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, PcAOP - Part of Imaging and Applied Optics Congress 2023, 2023. https://doi.org/10.1364/COSI.2023.CM1E.5.