Sanjiban Sekhar Roy

Sanjiban Sekhar Roy joined in VIT University in the year of 2009 as an Asst. Professor. In August, 2016 he completed Ph.D. from VIT in Computer Science and Engineering (Specialization in Machine Learning/Data Science).In his Ph.D. research, he worked on theoretical and applied aspects of machine learning and modeled email spam filters, where he developed optimized machine learning techniques of spam email detection. He has more than 7 years of post graduate experience in Computer Science and Engineering. During these 7 years, he developed various skills such as machine learning techniques for network security like designing email spam filter, application of various machine learning techniques(Artificial Neural Network, Support Vector Machine, Least Square Support Vector Machine, Relevance Vector Machine, Extreme Learning Machine, Deep Learning, Minimax Probability Machine), stock market forecasting, biological science, civil engineering, environmental engineering and also writing project proposal, teaching courses, and carrying out international and national collaboration on various challenging problems. He has published various articles in reputed international journals and conferences.

Publications

Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass
Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass
Jagan Jayabalan, Sanjiban Sekhar Roy, Pijush Samui, Pradeep Kurup. © 2018. 30 pages.
Elastic Modulus (Ej) of jointed rock mass is a key parameter for deformation analysis of rock mass. This chapter adopts three intelligent models {Extreme Learning Machine (ELM)...
Classifying Images of Drought-Affected Area Using Deep Belief Network, kNN, and Random Forest Learning Techniques
Classifying Images of Drought-Affected Area Using Deep Belief Network, kNN, and Random Forest Learning Techniques
Sanjiban Sekhar Roy, Pulkit Kulshrestha, Pijush Samui. © 2018. 18 pages.
Drought is a condition of land in which the ground water faces a severe shortage. This condition affects the survival of plants and animals. Drought can impact ecosystem and...
A New SVM Method for Recognizing Polarity of Sentiments in Twitter
A New SVM Method for Recognizing Polarity of Sentiments in Twitter
Sanjiban Sekhar Roy, Marenglen Biba, Rohan Kumar, Rahul Kumar, Pijush Samui. © 2017. 11 pages.
Online social networking platforms, such as Weblogs, micro blogs, and social networks are intensively being utilized daily to express individual's thinking. This permits...