Shan Suthaharan PhD

Red Channel (We)

“If you can’t explain it simply, you don’t understand it well enough.” — Albert Einstein

Green Channel (Nature)

“Life gives to the givers and takes from the takers.” — Joe Polish

My ORCiD Profile

Blue Channel (Universe)

"An equation means nothing to me unless it expresses a thought of God.” — Ramanujan

dr. Shan Suthaharan

Professor of Computer Science

University of North Carolina at Greensboro

Email: s_suthah@uncg.edu

Thank you and God bless you!

Smart Machine Learning, Big Data, and Data Science

I am pleased to inform you that I have been listed in the top 2% of scientists in the world in both the "career (2021, 2022)" and "single year (2021 and 2022)" categories under the fields of "Networking & Telecommunications", "Artificial Intelligence & Image Processing," and "Information & Communication Technologies." The "Top 2% of Scientists in the World Ranking" in 2021 and 2022 database was created by experts at Stanford University and published on October 19th, 2021. https://ecebm.com/2021/10/26/stanford-university-names-worlds-top-2-scientists-2021/ and October 11th, 2022. https://ecebm.com/2022/10/11/stanford-university-names-worlds-top-2-scientists-2022/.
We received a best paper award in the 37th International Conference on Computers and Applications (CATA 2022) for the paper titled “Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning.” https://compsci.uncg.edu/best-paper-award-at-the-cata-2022-conference/. The slides that I presented at the conference on March 21st can be found at the bottom of this page.
My on-demand presentation on quantum machine learning can be found at SPIE's Quantum Technologies 2022 conference website: Quantum-aliasing--a-negative-influence-of-data-scarcity-on-quantum-machine-learning.
I also recently received the best reviewer award at the IEEE 24th International Conference on Information Reuse and Integration for Data Science https://compsci.uncg.edu/prof-suthaharan-received-an-award-at-ieee-conference/.

Dr. Shanmugathasan (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).

Research: Dr. Suthaharan’s research interests mainly fall under the state-of-the-art themes of big data and machine learning. He studies advanced mathematical, statistical, and computational techniques to formulate smart machine learning models and algorithms and accomplish secure big data analytics research in interdisciplinary settings. Dr. Suthaharan has contributed to the science of intelligence through his high quality collaborative research in "data analytics and image security," "data analytics and image/video quality," "data analytics and network security," "data analytics and machine learning," "big data analytics and machine learning," and "vision science and machine learning." He has published more than 100 peer-reviewed research articles in reputed journals and conferences. His research has been funded by many external funding agencies and institutions, including the National Institute of Health, Foundation Fighting Blindness, Shear Family Foundation, University of Pittsburgh Medical Center, University of Pittsburgh School of Medicine, Quantitative Institute at Emory University, University of California at Berkeley, University of California at Irvine, University of Melbourne and University of Sydney.

MACHINE LEARNING PROJECTS