Dr. Subhankar Roy
Academy of Technology, University of Kalyani, University of Calcutta
About
Dr. Subhankar Roy (IEEE Member) is currently an Assistant Professor in the Department of Computer Science and Engineering at the Academy of Technology, West Bengal, India. He received his Ph.D. (Engg.) from the University of Kalyani. He holds an M. Tech. in Computer Science and Engineering, a B. Tech. in Information Technology, and a B.Sc. (Hons.) in Physics from the University of Calcutta. He has published eight journal papers and seven conference papers and has two published patents to his credit. He has also served as a reviewer for numerous international journals and conferences. His research interests include bioinformatics, computational biology, and business intelligence, with a focus on developing computational approaches to address interdisciplinary research problems.
Employment
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Academy of Technology Assistant Professor
Education
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University of Kalyani Ph.D.2021 - 2026
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University of Calcutta M.Tech2010 - 2012
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University of Calcutta B. Tech2007 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- A Study of Genome Compression Algorithms for Industrial Versus Scientific Applications Focusing Sequences in Raw and FASTA/Q Formats Save
- A study of the cutting-edge general-purpose compressors’ performance on the normalized genome sequence Save
- A lossless reference-free sequence compression algorithm leveraging grammatical, statistical, and substitution rules Save
- Applying Skyline Operator and Taxicab Geometry to Identify Optimal Locations for Establishing Business Properties Save
- SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer Save
- TARG: A Reference-Free, Lossless, Customized General-Purpose Encoder for Genome Sequence in Raw, FASTA, or Multi-FASTA Formats Save
- Need of Public-Private Healthcare Collaboration for Managing Seasonal Dengue Fever in West Bengal Save
- A randomized optimal k-mer indexing approach for efficient parallel genome sequence compression Save
- A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression Save
- A Randomized Optimal k-mer Indexing Approach for Efficient Parallel Genome Sequence Compression Save