Dr. Cuong Manh Do
Data Scientist & Adjunct Professor at Univ of Connecticut
Area of Expertise:
Data Mining , Pattern Recognition , Predictive Modeling , Mathematics , Digital Signal Processing , Digital Image Processing
Profile Summary

Dr. Do is with the Department of Electrical and Computer Engineering and the Department of Mathematics at the University of Connecticut as an Adjunct Professor. He received his Master and PhD degree in Electrical Engineering at the University of Connecticut. He was a member of the International Society for Optical Engineering (SPIE), the Optical Society of America (OSA) and Institute of Electrical and Electronics Engineers (IEEE). His teaching areas include data mining, modeling and signal processing. His research interests are areas of digital signal processing, digital image processing, image reconstruction, pattern recognition, remote sensing, medical imaging, data mining and prediction modeling. He has been the reviewer for several journals, such as Optic Express, IEEE Journal of Display Technology, The Imaging Science Journal (Royal Photographic Society), Journal of Electromagnetic Waves and Applications, Progress in Electromagnetic Research.
Publications (16)

Proceedings Article | 8 November 2020 Poster + Paper
Cuong Do, Lan Vu
Proceedings Volume 11525, 115251Y (2020) https://doi.org/10.1117/12.2579608
KEYWORDS: Performance modeling, Photography, Diagnostics

Proceedings Article | 20 September 2020 Poster + Paper
Cuong Do, Lan Vu
Proceedings Volume 11543, 115430R (2020) https://doi.org/10.1117/12.2582626
KEYWORDS: Convolutional neural networks, X-rays, X-ray imaging, X-ray computed tomography, Feature extraction, Computed tomography

Proceedings Article | 20 September 2020 Poster + Paper
Proceedings Volume 11543, 115430S (2020) https://doi.org/10.1117/12.2583972

Proceedings Article | 21 August 2020 Poster + Paper
Cuong Do, Lan Vu
Proceedings Volume 11510, 1151034 (2020) https://doi.org/10.1117/12.2576276
KEYWORDS: Computed tomography, Convolutional neural networks

Proceedings Article | 21 August 2020 Poster + Paper
Proceedings Volume 11510, 1151033 (2020) https://doi.org/10.1117/12.2575924
KEYWORDS: 3D image reconstruction, Integral imaging, Neural networks

Showing 5 of 16 publications
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