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

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:	400 Chesterfield Building, 701 West Main
Office Phone:	(919) 660-5595, (919) 684-0898
Email Address:
Web Page:	http://www.disp.duke.edu/

Education:

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

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. Zhang, Z; Zhang, B; Yuan, X; Zheng, S; Su, X; Suo, J; Brady, DJ; Dai, Q, From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth, Photonix, vol. 3 no. 1 (December, 2022) [doi]  [abs]
2. Huang, Q; Hu, M; Brady, DJ, Array Camera Image Fusion using Physics-Aware Transformers, Journal of Imaging Science and Technology, vol. 66 no. 6 (November, 2022) [doi]  [abs]
3. Yuan, X; Brady, DJ; Suo, J; Arguello, H; Rodrigues, M; Katsaggelos, AK, Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing, Ieee Journal of Selected Topics in Signal Processing, vol. 16 no. 4 (June, 2022), pp. 603-607 [doi]
4. Hu, M; Brady, DJ, Array Camera Sampling Optimization, Optics Infobase Conference Papers (January, 2022), ISBN 9781557528209  [abs]
5. Revello, C; Driggers, R; Brady, D; Renshaw, K, Large area coverage using drone mounted multi-camera systems, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 12106 (January, 2022), ISBN 9781510650886 [doi]  [abs]