Rik Das

Rik Das is an Assistant Professor, Department of Information Technology, Xavier Institute of Social Service, Ranchi, Jharkhand, India. He is a PhD (Tech.) in Information Technology from University of Calcutta, Kolkata, India and has completed his M.Tech. in Information Technology from the same University. Prior to this, he has done his B.E. in Information Technology from University of Burdwan, India. He takes keen interest in researching with Image Processing, Object Detection, Computer Vision, Deep Learning and Machine Learning. He has carried out collaborative research work with Institutions in India and abroad. Rik has multiple International research publications till date with reputed Publishers, namely, IEEE, Springer, Emerald, Inderscience etc. He is a reviewer for leading Journals, such as, Journal of Visual Communication and Image Representation, Elsevier, Transactions on Mutimedia, IEEE, LNCS Transactions on Computational Science, Springer etc. He is the receiver of "Certificate of Outstanding Contribution in Reviewing" conferred by Elsevier in cooperation with King Saud University.

He has also chaired sessions in International Conferences on Image Processing. Rik is a part of academic fraternity for more than 14 years and has served significant Academic Institutions in India, including, Narsee Monjee Institute of Management Studies (NMIMS) (Deemed-to-be-University), Mumbai, India, Birla Institute of Technology (BIT), Mesra, Ranchi, India and so on to name a few. He is a Resource person for UGC-HRDC Refresher Courses in Information and Communication Technology. Rik is always open to discuss new research ideas for collaborative research work and for techno-managerial

Rik is always open to discuss new research ideas for collaborative research work and for techno-managerial consultancies.

Publications

Feature Dimension Reduction for Content-Based Image Identification
Feature Dimension Reduction for Content-Based Image Identification
Rik Das, Sourav De, Siddhartha Bhattacharyya. © 2018. 284 pages.
Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in...
An Integrated Framework for Information Identification With Image Data Using Multi-Technique Feature Extraction
An Integrated Framework for Information Identification With Image Data Using Multi-Technique Feature Extraction
Rik Das, S. N. Singh, Mahua Banerjee, Shishir Mayank, T. Venkata Shashank. © 2018. 25 pages.
Image data has portrayed immense potential as a resourceful foundation of information in current context for numerous applications including biomedicine, military, commerce...