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David J. Brady, Michael J. Fitzpatrick Professor of Photonics in the Edmund T. Pratt, Jr. School of Engineering and Bass Fellow of Electrical and Computer Engineering

 

David J. Brady

David Brady leads the Duke Imaging and Spectroscopy Program (DISP), which builds computational imaging systems. DISP is currently focused on array cameras for gigapixel video and virtual reality. DISP includes laboratories in Durham and at Duke Kunshan University.

Contact Info:
Office Location:  2537 CIEMAS, Box 90291, Durham, NC 27708
Office Phone:  (919) 660-5394, (919) 660-5595
Email Address: send me a message
Web Page:  http://www.disp.duke.edu/

Teaching (Fall 2017):

  • COMPSCI 281K.01, COMPUTATIONAL PHOTOGRAPHY Synopsis
    DKUA 3101, MTuTh 03:45 PM-05:25 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. Amsden, JJ; Gehm, ME; Russell, ZE; Chen, EX; Di Dona, ST; Wolter, SD; Danell, RM; Kibelka, G; Parker, CB; Stoner, BR; Brady, DJ; Glass, JT, Coded Apertures in Mass Spectrometry., Annual review of analytical chemistry (Palo Alto, Calif.), vol. 10 no. 1 (June, 2017), pp. 141-156 [doi]  [abs]
  2. Zhu, R; Richard, JT; Brady, DJ; Marks, DL; Everitt, HO, Compressive sensing and adaptive sampling applied to millimeter wave inverse synthetic aperture imaging, Optics express, vol. 25 no. 3 (February, 2017), pp. 2270-2270 [doi]
  3. Cao, X; Yue, T; Lin, X; Lin, S; Yuan, X; Dai, Q; Carin, L; Brady, DJ, Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world, IEEE Signal Processing Magazine, vol. 33 no. 5 (September, 2016), pp. 95-108 [doi]
  4. Yuan, X; Liao, X; Llull, P; Brady, D; Carin, L, Efficient patch-based approach for compressive depth imaging., Applied Optics, vol. 55 no. 27 (September, 2016), pp. 7556-7564 [doi]  [abs]
  5. Hassan, M; Greenberg, JA; Odinaka, I; Brady, DJ, Snapshot fan beam coded aperture coherent scatter tomography., Optics express, vol. 24 no. 16 (August, 2016), pp. 18277-18289 [doi]  [abs]