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Dr Shan Suthaharan FIET

CSC510 Course Website

Big Data and Machine Learning. Fall-2015.

Tuesday/Thursday, 1400-1515 in Petty Building 217

Dr Shanmugathasan (Shan) Suthaharan FIET
Professor of Computer Science
Department of Computer Science
University of North Carolina at Greensboro
161 Petty Building, Greensboro, NC 27412
  TP: 336 256 1122, Fax: 336 256 0439
Email: s_suthah@uncg.edu, LinkedIn Profile

My Book - Springer US

Machine learning models and algorithms for big data classification - thinking with examples for effective learning.

If you can't explain it simply, you don't understand it well enough -- Albert Einstein

Academic Qualifications: Ph.D., Computer Science. Monash University, Melbourne, Australia. March 1996; M.Sc., Computer Science. Dundee University, United Kingdom. July 1989; B.Sc. (Hons.), Statistics. Jaffna University, Jaffna, Sri Lanka. 1981.

Dr Suthaharan is a Professor of Computer Science at the University of North Carolina at Greensboro (UNCG), North Carolina, USA. He also serves as the Director of Undergraduate Studies at the Department of Computer Science at UNCG. He has more than twenty-five years of university teaching and administrative experience, and has taught both undergraduate and graduate courses. His aspiration is to educate and train students so that they can prosper in the computer field by understanding current real-world and complex problems, and develop efficient techniques and technologies.

Dr Suthaharan's current teaching interests include big data analytics and machine learning, cryptography and network security, and computer networking and analysis. He earned his doctorate in Computer Science from Monash University, Australia. Since then, he has been actively working on disseminating his knowledge and experience through teaching, advising, seminars, research, and publications. Dr. Suthaharan enjoys investigating real-world, complex problems, and developing and implementing algorithms to solve those problems using modern technologies.

The main theme of his current research is the signature discovery and event detection for a secure and reliable environment. The ultimate goal of his research is to build a secure and reliable environment using modern and emerging technologies. His current research primarily focuses on the characterization and detection of environmental events, the exploration of machine learning techniques, and the development of advanced statistical and computational techniques to discover key signatures and detect emerging events from structured and unstructured big data. Dr. Suthaharan has authored or co-authored more than seventy-five research papers in the areas of computer science, and published them in international journals and referred conference proceedings.

Dr Suthaharan also invented a key management and encryption technology, which has been patented in Australia, Japan, and Singapore. He also received visiting scholar awards from and served as a visiting researcher at the University of Sydney, Australia; the University of Melbourne, Australia; and the University of California, Berkeley, USA. He was a senior member of the Institute of Electrical and Electronics Engineers, and volunteered as an elected chair of the Central North Carolina Section twice. He is a member of Sigma Xi, the Scientific Research Society, and a Fellow of the Institution of Engineering and Technology.

 

Suthaharan