CNCS Center for Nonlinear and Complex Systems
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David J. Brady, Michael J. Fitzpatrick Distinguished Professor of Photonics in the Edmund T. Pratt, Jr. School of Engineering and CNCS: Center for nonlinear and complex systems and Core Faculty in Innovation & Entrepreneurship of Duke Innovation & Entrepreneurship and Bass Fellow of Electrical and Computer Engineering

David J. Brady

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.

Contact Info:
Office Location:  400 Chesterfield Building, 701 West Main, Box 90291, Durham, NC 27708
Office Phone:  (919) 684-0898
Email Address: send me a message
Web Page:  http://www.disp.duke.edu

Teaching (Fall 2020):

  • ECE 270DL.002, FIELDS AND WAVES Synopsis
    Hudson 208, WF 04:40 PM-05:55 PM
  • ECE 270DL.02D, FIELDS AND WAVES Synopsis
    Hudson 208, M 04:40 PM-05:55 PM
  • ECE 270L9.01L, FIELDS AND WAVES (LAB) Synopsis
    Hudson 06, Tu 01:25 PM-04:15 PM
  • ECE 270L9.02L, FIELDS AND WAVES (LAB) Synopsis
    Hudson 06, W 11:45 AM-02:35 PM
  • ECE 270L9.03L, FIELDS AND WAVES (LAB) Synopsis
    Hudson 06, Th 03:05 PM-05:55 PM
Office Hours:

Thursdays 3-5 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:

David Brady leads the (Duke Imaging and Spectroscopy Program), which builds computational optical sensor systems. DISP projects include hyperspectral microscopy, Raman spectroscopy for tissue chemometrics, optical coherence sensors and infrared spectral filters.

Keywords:

Absorption • Adult • Alcohol Drinking • Algorithms • Animals • Artifacts • Artificial Intelligence • Biometry • Birds • Calibration • Color • Combinatorial Chemistry Techniques • Computer Simulation • Computer-Aided Design • Computers • Data Compression • Data Mining • Electronics • Equipment Design • Equipment Failure Analysis • Erbium • Ethanol • Female • Filtration • Fluorescence • Fluorescent Dyes • Fluorine Compounds • Fourier Analysis • Gallium compounds • Holography • Humans • Image compression • Image Enhancement • Image Interpretation, Computer-Assisted • Image Processing, Computer-Assisted • Image reconstruction • imaging • Imaging systems • Imaging, Three-Dimensional • Information Storage and Retrieval • Infrared radiation • Infrared Rays • Infrared spectroscopy • Integral equations • Integrated optics • Interferometry • Lakes • Lenses • Light • Light absorption • Lipid Bilayers • Liquid crystal devices • Lithium Compounds • Luminescence • Male • Mathematical models • Metals • Metamaterials • Microscopy, Video • Microspheres • Miniaturization • Models, Statistical • Models, Theoretical • Movement • Nematic liquid crystals • Numerical analysis • Optical Devices • Optical Fibers • Optical materials • Optical Phenomena • Optical Processes • Optics and Photonics • Organic compounds • Pattern Recognition, Automated • Peer Review • Photography • Photons • Photorefractive materials • Quenching • Refractometry • Regression Analysis • Reproducibility of Results • Scattering, Radiation • Semiconductor doping • Sensitivity and Specificity • Sex Factors • Signal Processing, Computer-Assisted • Signal-To-Noise Ratio • Software • Spectrometry, Fluorescence • Spectrophotometry • Spectrophotometry, Infrared • spectroscopy • Spectrum Analysis • Spectrum Analysis, Raman • Stars, Celestial • Students • Subtraction Technique • Thermography • Time Factors • Tomography • Tomography, X-Ray Computed • Transducers • Turbulence • Universities • Values • Video Recording • Videotape Recording • X-Rays

Recent Publications   (More Publications)

  1. Zhang, H; Liu, S; Cao, L; Brady, DJ, Noise suppression for ballistic-photons based on compressive in-line holographic imaging through an inhomogeneous medium., Optics Express, vol. 28 no. 7 (March, 2020), pp. 10337-10349 [doi]  [abs]
  2. Liu, Y; Yuan, X; Suo, J; Brady, DJ; Dai, Q, Rank Minimization for Snapshot Compressive Imaging., Ieee Transactions on Pattern Analysis and Machine Intelligence, vol. 41 no. 12 (December, 2019), pp. 2990-3006, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  3. Zhang, W; Cao, L; Brady, DJ; Zhang, H; Cang, J; Zhang, H; Jin, G, Twin-Image-Free Holography: A Compressive Sensing Approach., Physical Review Letters, vol. 121 no. 9 (August, 2018), pp. 093902 [doi]  [abs]
  4. Pang, W; Brady, DJ, Field of view in monocentric multiscale cameras., Applied Optics, vol. 57 no. 24 (August, 2018), pp. 6999-7005 [doi]  [abs]
  5. Linnehan, R; Schindler, J; Perlovsky, L; Rangaswamy, M; Brady, D, Phenomenology-based waveform design using Cramer-Rao theory, 2004 International Waveform Diversity and Design Conference, Wdd 2004 Proceedings, vol. 2018-January (March, 2018), pp. 1-5, IEEE, ISBN 9781509031771 [doi]  [abs]