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 (17)

Proceedings Article | 4 October 2024 Poster + Paper
Proceedings Volume 13118, 131180D (2024) https://doi.org/10.1117/12.3037124
KEYWORDS: Artificial intelligence, Genetic algorithms, Machine learning, Simulations, Performance modeling, Education and training, Neural networks, Genetics, Data modeling, Mathematical modeling

Proceedings Article | 4 October 2024 Poster + Paper
Proceedings Volume 13118, 131180C (2024) https://doi.org/10.1117/12.3027539
KEYWORDS: Artificial intelligence, Mixtures, Data modeling, Feature extraction, Process modeling, Machine learning, Eigenvectors, Principal component analysis, Random forests, Mathematical modeling

Proceedings Article | 4 October 2024 Presentation + Paper
Proceedings Volume 13118, 131180A (2024) https://doi.org/10.1117/12.3027551
KEYWORDS: Image classification, Artificial intelligence, Feature extraction, Education and training, Reflection, Image processing, Vector spaces, Shadows, Data modeling, Refraction

Proceedings Article | 3 October 2024 Presentation + Paper
Ayodeji Iwayemi, Shan Suthaharan
Proceedings Volume 13138, 131380E (2024) https://doi.org/10.1117/12.3028538
KEYWORDS: Artificial intelligence, Data modeling, Overfitting, Computer simulations, Matrices, Evolutionary algorithms, Deep learning, Systems modeling, Semantics, Probability theory

Proceedings Article | 3 October 2024 Presentation + Paper
Proceedings Volume 13138, 131380S (2024) https://doi.org/10.1117/12.3027552
KEYWORDS: Artificial intelligence, Image quality, Modeling, Mathematical modeling, Statistical modeling, Performance modeling, Quality measurement, Data modeling, Statistical analysis

Showing 5 of 17 publications
Conference Committee Involvement (5)
Applications of Machine Learning 2025
3 August 2025 | San Diego, California, United States
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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