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 Professor Emeritus of Electrical and Computer Engineering 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

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. Yuan, X; Ji, M; Wu, J; Brady, DJ; Dai, Q; Fang, L, A modular hierarchical array camera, Light: Science and Applications, vol. 10 no. 1 (December, 2021) [doi]  [abs]
  2. Park, J; Brady, DJ; Zheng, G; Tian, L; Gao, L, Review of bio-optical imaging systems with a high space-bandwidth product, Advanced Photonics, vol. 3 no. 4 (July, 2021) [doi]  [abs]
  3. Schulz, TJ; Brady, DJ; Wang, C, Photon-limited bounds for phase retrieval., Optics Express, vol. 29 no. 11 (May, 2021), pp. 16736-16748 [doi]  [abs]
  4. Yuan, X; Brady, DJ; Katsaggelos, AK, Snapshot Compressive Imaging: Theory, Algorithms, and Applications, Ieee Signal Processing Magazine, vol. 38 no. 2 (March, 2021), pp. 65-88 [doi]  [abs]
  5. Wang, C; Huang, Q; Cheng, M; Ma, Z; Brady, DJ, Deep Learning for Camera Autofocus, Ieee Transactions on Computational Imaging, vol. 7 (January, 2021), pp. 258-271 [doi]  [abs]