Fitzpatrick Institute for Photonics Fitzpatrick Institute for Photonics
Pratt School of Engineering
Duke University

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David J. Brady, Michael J. Fitzpatrick Professor of Electrical & Computer Engineering

David J. Brady

David Brady leads the Duke Imaging and Spectroscopy Program (DISP), which builds computational imaging systems. Current DISP projects focus on snapshot gigapixel photography using multiscale optics, gigapixel holography, x-ray scatter tomography and compressive spectral imaging.

Contact Info:
Office Location:  2537 CIEMAS
Office Phone:  (919) 660-5394, (919) 660-5595
Email Address: send me a message
Web Page:  http://www.disp.duke.edu/

Teaching (Fall 2018):

  • ECE 675.01, OPTICAL IMAG AND SPECTROSCOPY Synopsis
    Hudson 218, MW 04:40 PM-05:55 PM
Education:

Ph.D.California Institute of Technology1990
M.S.California Institute of Technology1986
B.A.Macalester College1984
Specialties:

Optical imaging
Photonics
Sensing and Sensor Systems
Homeland Security
Research Interests:

DISP uses joint design of physical sampling and digital processing strategies to develop high performance sensor systems. DISP builds instruments for visible, infrared, ultraviolet, x-ray, millimeter wave, terahertz, acoustic and ion imaging and spectroscopy. DISP has made particular contributions to the theory and practice of compressive measurement systems and to spectral imaging, holography and diffraction tomography, optical projection tomography and high pixel count cameras.

Keywords:

imaging • spectroscopy

Recent Publications   (More Publications)

  1. Pang, W; Brady, DJ, Field of view in monocentric multiscale cameras, Applied Optics, vol. 57 no. 24 (August, 2018), pp. 6999-7005 [doi]  [abs]
  2. Brady, DJ; Pang, W; Li, H; Ma, Z; Tao, Y; Cao, X, Parallel cameras, Optica, vol. 5 no. 2 (February, 2018), pp. 127-137 [doi]  [abs]
  3. Zhang, W; Cao, L; Jin, G; Brady, D, Full field-of-view digital lens-free holography for weak-scattering objects based on grating modulation, Applied Optics, vol. 57 no. 1 (January, 2018), pp. A164-A171 [doi]  [abs]
  4. Zhang, H; Cao, L; Zhang, H; Zhang, W; Jin, G; Brady, DJ, Efficient block-wise algorithm for compressive holography, Optics Express, vol. 25 no. 21 (October, 2017), pp. 24991-24991 [doi]
  5. Chen, L-S; Yue, T; Cao, X; Ma, Z; Brady, DJ, High-resolution spectral video acquisition, Frontiers of Information Technology and Electronic Engineering, vol. 18 no. 9 (September, 2017), pp. 1250-1260 [doi]


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