Surama Biswas

About

Dr. Surama Biswas is an Associate Professor in the Department of Computer Science and Engineering at Meghnad Saha Institute of Technology, Kolkata. She holds a Ph.D. in Engineering from MAKAUT, West Bengal, and completed her postdoctoral research at the Allen Discovery Center, Tufts University, under Dr. Michael Levin. Her research lies at the intersection of computational biology, artificial intelligence, and machine learning, focusing on gene regulatory network modeling, differential gene expression analysis, biomarker discovery, and integrative analysis of gene expression and biomedical imaging data for disease diagnosis and translational applications, including cancer, gastrointestinal disorders, and neurogenomics. She is a co-inventor of the licensed patent titled “Methods for Modulating the Function of Biological Regulatory Networks in Health and Disease by Exploiting Their Memory Properties,” which investigates how biological regulatory networks can store and use memory to influence tissue patterning, regeneration, and disease regulation.

Employment

• Tufts University Postdoctoral Fellow
  2019 - Present
• Maulana Abul Kalam Azad University of Technology, West Bengal Research Assistan
  2013 - 2017
• Amrita Vishwa Vidyapeetham
• Meghnad Saha Institute of Technology Associate Professor

Education

• Maulana Abul Kalam Azad University of Technology, West Bengal ME
  2008 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Next-Generation Skin Cancer Detection Using Efficient Fuzzy Fusion of Genomic and Imaging Data
  2026 DOI: 10.64898/2026.06.05.26355024
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• A New Differential Gene Expression Based Simulated Annealing for Solving Gene Selection Problem: A Case Study on Eosinophilic Esophagitis and Few Other Gastro-intestinal Diseases
  Biochemical Genetics 2025 DOI: 10.1007/s10528-024-10987-z
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• Optimizing Gene Selection and Network-Level Insights in Hypertrophic Cardiomyopathy: A Novel Genetic Algorithm Combined with WGCNA and Statistical Filtering
  2025 DOI: 10.1101/2025.07.01.25330641
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• Comparative Inference of Gene-Specific and Global Gene Regulatory Network Methodologies for Biomarker Assessment in Lung Cancer
  2024 DOI: 10.1101/2024.10.23.24315971
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• A New Differential Gene Expression Based Simulated Annealing for Solving Gene Selection Problem: A Case Study on Eosinophilic Esophagitis and Few Other Gastro-Intestinal Diseases
  2024 DOI: 10.1101/2024.05.03.24306738
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• Multi-objective Simulated Annealing Variants to Infer Gene Regulatory Network: A Comparative Study
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2021 DOI: 10.1109/TCBB.2020.2992304
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• Gene regulatory networks exhibit several kinds of memory: Quantification of memory in biological and random transcriptional networks
  iScience 2021 DOI: 10.1016/j.isci.2021.102131
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• Application of Meta-Heuristics on Reconstructing Gene Regulatory Network: A Bayesian Model Approach
  IETE Journal of Research 2021 DOI: 10.1080/03772063.2021.1946433
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• Identification of Disease Critical Genes Using Collective Meta-heuristic Approaches: An Application to Preeclampsia
  Interdisciplinary Sciences: Computational Life Sciences 2019 DOI: 10.1007/s12539-017-0276-x
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• A Bi-Objective RNN Model to Reconstruct Gene Regulatory Network: A Modified Multi-Objective Simulated Annealing Approach
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2018 DOI: 10.1109/TCBB.2017.2771360
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