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Dr.Th. Shanta Kumar

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Dr. Th. Shanta Kumar

Associate Professor

Biography

Dr. Kumar is an Associate Professor in the Department of Computer Science and Engineering, GigijanandaChowdhury University, Assam. He has done his Masters from Jorhat Engineering College (2000) and PhD from Himachal Pradesh University (2012). He had served for more than a decade in Bhutan including Royal University of Bhutan.

Dr. Kumar’s domain of research is Machine Learning, Deep Learning and Natural Language Processing. His current research interest area includes Environmental Issues, Educational Systems and Social Network Analysis. He has published a number of scientific papers in journals and conferences.

Dr. Kumar is a member of a number of Academic and Societal bodies including ‘Local Innovation System in Air Pollution, Assam’. He was the convenor/Coordinator of:

  1. National Conference in Recent Trends in Science and Technology, NCRTST-2018
  2. National Seminar on English Language Pedagogy for Engineering & Polytechnic Students, NSELPEPS-2015
  3. International Conference in Advances in Environmental Sciences ICAES-2012
  4. International Conference on Population and Development, ICPD-2010

Education

  • Ph.D. scholars in Cyber security and Machine Learning Techniques, ASTU and Anomaly Detection in Streams, ASTU 2007Himachal Pradesh University, Shimla, HP,
  • Bachelor of science in Computer science 1992D.M. College of Science, Manipur University
  • Master's in Computer Application 1998Jorhat Engieering College, Dibrugarh University

Publications

  • Th. Shanta Kumar, A Survey of Data Mining Techniques in Business Applications, Contemporary Thoughts in Management, 978-81-924348-0-3
  • Th. Shanta Kumar, Himanish S. Das, Upasana Choudhary, Prayakhi E. Dutta, Debarati Guha, and Yeasmin Laskar, ”Analysis and Prediction of Air Pollution in Assam Using ARIMA/SARIMA and Machine Learning”, Innovations in Sustainable Energy and Technology India 2020 , pp-317, 2020 https://doi.org/10.1007/978-981-16-1119-3
  • Rajarshi Paul, Th. Shanta Kumar, ”A Machine Learning Approach to Biodiversity Time Series Analysis”, 2nd International Conference on information systems & management science (ISMS) 2019 , pp-58, 2018 http://dx.doi.org/10.2139/ssrn.3520735
  • Th. S. Kumar, ”Enhancement of Image Classification through Data Augmen- tation using Machine Learning”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.220-224, 2018
  • Th. S. Kumar, ”Extracting Patterns from Students’ Feedback using Mixed Method”, International Journal of Computer Sciences and Engineering, Vol.4, Special Issue.7, pp.136-139, 2016
  • Anjana K. Mahanta, Amar J. Singh and Th. Shanta Kumar, “Customer Seg- mentation: Using a Comparative Case of Clustering Techniques”, CiiT International Journal of Data Mining and Knowledge Engineering, vol. 3(1), pp. 39-44 January 2011 http://ciitresearch.org/dl/index.php/dmke/article/view/DMKE012011007
  • Th. S. Kumar , “A Survey of Data Mining Techniques in Disaster Management”, National Seminar on Disaster Management: Issues and Challenges, PCPS Girls’ Polytechnic, Guwahati, Nov 2015, pp. 16-19
  • Th. S. Kumar , “Developmental Trend in Engineering Education in Recent Years in India and a Comparative Analysis of Available Facilities in North-East”, National Seminar on Prospects of Technical Education in North-East India : Present Trend of Development, Imphal, Manipur, May, 2013
  • Th. S. Kumar & Devi Bhakta Suberi, “Gender-Based Performance of Sherubtse’s Faculties through Students’ Feedback”, National Seminar on Gender and Reproduc- tive Health, Bhutan, Oct. 2011
  • Th. S. Kumar, “Customer Segmentation using Clustering Techniques”, in Pro- ceedings of the International Conference on Population and Development, Bhutan, Oct. 2010, pp. 65-71
  • Th. S. Kumar and A. J. Singh, “Genetic Algorithm and Clustering: A Compar- ative Case Study”, in Proceedings of the 2nd International Conference on Data Management (ICDM2009), Delhi, India, Feb. 2009. (ISBN : 023-063-760-4)
  • V. Devodas, B. Thomas and Th. S. Kumar, “A Simple Fuzzy Clustering Method for Handling Outlier Points”, in Proceedings of the International Conference in Mathematics and Computer Science (ICMCS2009), Chennai, India, Jan. 2009, Vol. 2, pp. 234. (ISBN : 978-81-8371-195-1)
  • G. Raju, B. Thomas, S. Tobgay and Th. S. Kumar, “Fuzzy Clustering Methods in Data Mining: A Comparative Case Study”, in Proceedings of the International Conference on Advanced Computer Theory & Engineering (ICACTE2008), Phuket, Thailand, Dec. 2008, pp 489-493. (ISBN : 978-0- 7695-3489-3) https://ieeexplore.ieee.org/document/4737006
  • G. Raju, B. Thomas, Th. S. Kumar and S. Thinley, “Integration of Fuzzy Logic in Data Mining to Handle Vagueness and Uncertainty”, in Proceedings of the 4th International Conference on Intelligence Computing (ICIC2008), Shanghai, China, Sep. 2008, pp. 880-887. (ISBN : 978-3-540- 85983-3) https://link.springer.com/chapter/10.1007/978-3-540-85984-0106
  • B. Thomas and Th. Shanta Kumar, “Role of GIS in Election Process : A Case of Bhutan”, Bhutan in the coming of 2008 and Beyond, Royal University of Bhutan, Thimphu, Jun, 2008
  • Th. Shanta Kumar, “Electronic Devices – Its Hazard to the Environment”, National Seminar – The Past, Present & Future of Bhutan’s Environment, Sherubtse College, June, 2007

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