Soumita Seth
Future Institute of Engineering and Management, Brainware University, Aliah University, Heritage Institute of Technology, Pailan College of Management and Technology, MCKV Institute of Engineering
About
Soumita Seth is currently serving as an Assistant Professor in the Department of Computer Science and Engineering of Future Institute of Engineering and Management, Kolkata, India. Besides she is a registered PhD research scholar at Aliah University, Kolkata, India. Ms. Seth has more than 20 research papers in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. She is also going to publish some books with renowned publishers. Her research interests include Computational Biology, Data Mining, Bioinformatics, Pattern Recognition, Biological Regulatory Networks, Statistical application on bioinformatics, Machine learning/Deep learning.
Employment
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Future Institute of Engineering and Management Assistant Professor2023 - Present
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Brainware University Assistant Professor2023 - 2023
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Pailan College of Management and Technology Assistant Professor2022 - 2023
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Aliah University Guest Faculty2016 - 2019
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Guru Nanak Institute of Technology Faculty in Part-time2015 - 2019
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Indian Statistical Institute Junior Research Fellow2012 - 2014
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Vinod Gupta School of Management Academic Associate2011 - 2012
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The Heritage Academy Assistant Professor2011 - 2011
Education
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Aliah University PhD2020 - Present
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Heritage Institute of Technology M.Tech2009 - 2011
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MCKV Institute of Engineering B.Tech2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- Identifying Genetic Signatures from Single-Cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering Save
- Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data Save
- Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data. Save
- A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data. Save
- A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer Save
- A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer Save
- Multi-Objective Optimization Approaches in Biological Learning System on Microarray Data Save
- CBACCN: Constraint based community discovery in complex networks Save
- Social network analysis to detect inherent communities based on constraints Save