Prof. Shan Suthaharan
Professor at Univ of North Carolina at Greensboro
SPIE Involvement:
Author
Profile Summary

Dr. Shan Suthaharan is a Professor of Computer Science at the University of North Carolina at Greensboro (UNCG). He joined UNCG in 2001 as an Assistant Professor, and promoted to Associate Professor in 2005, then promoted to Professor in 2014. He served as Graduate Program Director in 2021-2022. He also served as Director of Undergraduate Studies for more than 10 years and as Interim Head in Fall 2015 at UNCG. He played a major role in leading the committee and maintaining ABET accreditation of the undergraduate program successfully. Dr. Suthaharan is also the sole author of the high impact and high-quality textbook on the state-of-the-art topics of big data analytics and machine learning. Notably this book was reviewed by ACM Computing Reviews and received a “Reviewer Recommended” rating. He also invented a key management and encryption technology that has been patented in Australia, Japan, and Singapore. He also served as an elected Chair for the IEEE Central North Carolina section for two terms. He is a Distinguished speaker of the ACM (2018-2021).
Publications (12)

Proceedings Article | 13 March 2024 Poster
Proceedings Volume PC12830, PC128300S (2024) https://doi.org/10.1117/12.3000326
KEYWORDS: Optical coherence tomography, Machine learning, Feature extraction, Retinal scanning, Image resolution, Biomedical applications

Proceedings Article | 4 October 2023 Poster + Paper
Proceedings Volume 12675, 1267517 (2023) https://doi.org/10.1117/12.2682041
KEYWORDS: Image segmentation, Education and training, Artificial neural networks, RGB color model, Data modeling, Video, Simulations, Neurons, Deep learning, Image classification

Proceedings Article | 28 September 2023 Presentation + Paper
Proceedings Volume 12655, 126550E (2023) https://doi.org/10.1117/12.2682004
KEYWORDS: Education and training, Artificial intelligence, Data modeling, Spectral density, Logic, Simulations, Mathematical modeling, Machine learning, Profiling, Positron emission tomography

Proceedings Article | 31 May 2022 Poster + Presentation + Paper
Proceedings Volume 12133, 121330H (2022) https://doi.org/10.1117/12.2632756
KEYWORDS: Quantum computing, Machine learning, Data modeling, Quantum physics, Neural networks, Computer simulations, Quantum communications, Statistical modeling, Fourier transforms

Proceedings Article | 26 February 2008 Paper
Proceedings Volume 6811, 681105 (2008) https://doi.org/10.1117/12.765718
KEYWORDS: Image encryption, Image processing, Computer security, Image segmentation, Video, Digital imaging, Image transmission, Diffusion, Resistance, Surgery

Showing 5 of 12 publications
Conference Committee Involvement (4)
Real-Time Image and Video Processing 2011
24 January 2011 | San Francisco Airport, California, United States
Real-Time Image and Video Processing
16 April 2010 | Brussels, Belgium
Real-Time Image and Video Processing
19 January 2009 | San Jose, California, United States
Real-Time Image Processing 2008
28 January 2008 | San Jose, California, United States
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