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SUPRATIV SAHA
JIS College of Engineering, JIS University, Maulana Abul Kalam Azad University of Technology, West Bengal, West Bengal University of Technology (IN-HOUSE)
About
ASSISTANT PROFESSOR, DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, JIS COLLEGE OF ENGINEERING
RESEARCH INTEREST: BIO-INFORMATICS, DATA MINING, SOFT COMPUTING, DATABASE MANAGEMENT SYSTEM
Employment
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JIS College of Engineering Assistant Professor (Grade-II)2026 - Present
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JIS University Assistant Professor2024 - 2026
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Future Institute of Engineering and Management Assistant Professor2023 - 2024
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BRAINWARE UNIVERSITY ASSISTANT PROFESSOR2017 - 2023
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Adamas Institute of Technology ASSISTEANT PROFESSOR2014 - 2017
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Global Institute of Management Technology ASSISTANT PROFESSOR2012 - 2014
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West Bengal University of Technology TEACHNING ASSISTANT2011 - 2012
Education
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Maulana Abul Kalam Azad University of Technology, West Bengal Doctor of Philosophy (Ph.D.)2019 - 2026
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West Bengal University of Technology (IN-HOUSE) MASTER OF ENGINEERING2010 - 2012
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JIS College of Engineering BACHELOR OF TECHNOLOGY2005 - 2009
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NAIHATI NARENDRA VIDYANIKATAN HIGH SECONDARY2003 - 2005
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Ramakrishna Vivekananda Mission MADHYAMIK2001 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Rule-Based Protein Classification Through Multi-Phase Feature Extraction Technique Save
- A rule-based protein classification approach using normalized distance-based encoding method Save
- A Brief Review on Protein Classification Based on Functional, Behavioral, and Structural Properties Using Data Mining Techniques Save
- A study to find a potent feature by combining the various disulphide bonds of protein using data mining technique Save
- Use of Marker-Controlled Watershed Segmentation to Classify Cumulonimbus Cloud with Pre-trained CNN Save
- A Review on Protein Structure Classification along with a Proposed Classifier Using Data Mining Techniques Save
- An Approach to Enhance the Design of Protein Sequence Classifier Using Data Mining Save
- A New Protein Sequence Classification Approach Using Positional-Average Values of Features Save
- An Approach to Select the Proper Combination within Positional and Non-positional Average Values of Features in Protein Classification Save
- Protein Sequence Classification Involving Data Mining Technique: A Review Save