SOUGATA SHEET
Siksha O Anusandhan University Institute of Technical Education and Research, Regent Education and Research Foundation Group of Instrution, University of Calcutta
About
Sougata Sheet is currently an Assistant Professor in the Department of Computer Science and Engineering at Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. He received his Master of Computer Application (MCA) in 2012 and Master of Technology (M.Tech) in Information Technology in 2014, both from the University of Calcutta, Kolkata, India.
His research interests include bioinformatics, computational biology, systems biology, pattern recognition, and soft computing. He is actively involved in interdisciplinary research, focusing on the application of computational techniques to solve complex biological problems.
Employment
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Siksha O Anusandhan University Institute of Technical Education and Research Assistant Professor2021 - Present
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Regent Education and Research Foundation Group of Instrution Assistant Professor2018 - 2021
Education
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University of Calcutta M.Tech(IT)2012 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- Safe H2O: A System Framework for Assessment the Water Quality and Health Risk Management Save
- Deep Learning Based Audio Classification Using Multi Feature Fusion Techniques Save
- Recognition of Cancer Mediating Genes using the Novel Restricted Boltzmann Machines Save
- Recognition of cancer mediating genes using MLP-SDAE model Save
- Identification of Cancer Mediating Biomarkers using Stacked Denoising Autoencoder Model-An Application on Human Lung Data Save
- Cancer Mediating Genes Recognition using Multilayer Perceptron Model- An Application on Human Leukemia Save
- Selection of Genes Mediating Human Leukemia, Using Boltzmann Machine Save
- Selection of Gene Mediating Human Leukemia, using Deep Learning Approach Save
- Selection of genes mediating human leukemia, using an Artificial Neural Network approach Save
- Identification of influential biomarkers for human leukemia - An Artificial Neural Network approach Save