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Faculty Directory Soumyendu Sekhar Bandyopadhyay
Soumyendu Sekhar Bandyopadhyay

Soumyendu Sekhar Bandyopadhyay

Associate Professor

[email protected]
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Academic Information

Ph.D. (Tech.), Jadavpur University 2024.

Research Areas

Bioinformatics Computational Biology Machine Learning Pattern Recognition Large Scale Biological Networks

Research Interests

Dr. Soumyendu S Bandyopadhyay is an Associate Professor in the Department of Information Technology at the Institute of Engineering and Management (IEM), Kolkata. He received his Ph.D. degree from Jadavpur University in 2024 and his M.Tech degree from the University of Calcutta in 2012. His research area includes Pattern Recognition, Machine Learning, Bioinformatics, Computational Biology, and Large-Scale Biological Networks.  

Courses Taught

Design and Analysis of Algorithm
Database Management Systems
Operating System
Big Data Analytics
Soft Computing
Bioinformatics

Positions Held

Associate Professor & Assistant Programme In-Charge, Department of Computer Science & Engineering (IoTCSBT), Institute of Engineering & Management, Kolkata (2024-Present)
Assistant Professor, Department of Computer Science & Engineering (IoTCSBT), Institute of Engineering & Management, Kolkata (2023 - 2024)

Publications

List of Journal Publications

  1. A.K. Halder, S.S. Bandyopadhyay, P. Chatterjee, M. Nasipuri, D. Plewczynski, S. Basu, “JUPPI: A multi-level feature based method for PPI prediction and a refined strategy for performance assessment,” IEEE/ACM Trans. Comput. Biol. Bioinforma. (2020). https://doi.org/10.1109/tcbb.2020.3004970
  2. Saha, S., Kumar Halder, A., Bandyopadhyay, S. S., Chatterjee, P., Nasipuri, M., Bose, D., & Basu, S. (2021). Drug repurposing for COVID-19 using computational screening: Is Fostamatinib/ R406 a potential candidate?. Methods (San Diego, Calif.), S1046-2023(21)00205-X. Advance online publication. https://doi.org/10.1016/j.ymeth.2021.08.007
  3. Bandyopadhyay, S.S.; Halder, A.K.; Zaręba-Kozioł, M.; Bartkowiak-Kaczmarek, A.; Dutta, A.; Chatterjee, P.; Nasipuri, M.; Wójtowicz, T.; Wlodarczyk, J.; Basu, S. RFCM-PALM: In-Silico Prediction of S-Palmitoylation Sites in the Synaptic Proteins for Male/Female Mouse Data. Int. J. Mol. Sci. 2021, 22, 9901. https://doi.org/10.3390/ijms22189901
  4. Saha, S., Kumar Halder, A., Bandyopadhyay, S. S., Chatterjee, P., Nasipuri, M.., & Basu, S. (2021). Computational Modeling of Human-nCoV Protein-Protein Interaction Network. Methods (San Diego, Calif.), S1046-2023(21)00205-X. Advance online publication. https://doi.org/10.1016/j.ymeth.2021.12.003
  5. Bandyopadhyay, S.S.; Halder, A.K.; Saha, S.; Chatterjee, P.; Nasipuri, M.; Basu, S. Assessment of GO-Based Protein Interaction Affinities in the Large-Scale Human–Coronavirus Family Interactome. Vaccines 2023, 11, 549. https://doi.org/10.3390/vaccines11030549.
  6. A. K. Halder, S. S. Bandyopadhyay, W. Jedrzejewski, S. Basu, and J. Sroka, “FuzzyPPI: Large-Scale Interaction of Human Proteome at Fuzzy Semantic Space,” IEEE Trans. Big Data, 2024 [Joint First Author]

List of Conference Publications (International/ National):

  1. Priti Das, Soumyendu Sekhar Bandyopadhyay, Anup Kumar Halder, Jakub Wlodarczyk, Subhadip Basu, “S-Palmitoylation Site Prediction of Mouse Protein Using Convolutional Neural Network,” in 6th International Conference on Frontiers in Computing and Systems, 2025 (Accepted).
  2. Subhadip Paul, Utsho Banerjee, Kaustav Sengupta, Moutushi Singh, Soumyendu Sekhar Bandyopadhyay, “Clustering of Large Human Protein Sequences Using Spark Based Hierarchical Clustering Approach,” in 3rd International Conference on Computational Intelligence, Data Science and Cloud Computing, 2025 (Accepted)
  3. Koushik Dutta, Akash Roy, Ishika Ghosh, Anusmita Hait, Nilanjan Bhattacharya, Soumyendu Sekhar Bandyopadhyay, “Transportation Payment System using IOT,” in International Conference on Data, Electronics and Computing, 2024 (Accepted).
  4. A. Bera, S. S. Bandyopadhyay, “LSTM-PPI: A Deep Learning Based Protein-Protein Interaction Prediction Strategies for Human Proteome,” in International Conference on Data, Electronics and Computing, 2024 (Accepted).
  5. S. S. Bandyopadhyay et al., “Multi-level Feature-Based Subcellular Location Prediction of Apoptosis Proteins,” in International Conference on Data, Electronics and Computing, 2022, pp. 241–249.
  6. T. Chakraborty, A. Das, S. S. Bandyopadhyay, A. K. Halder, J. Wlodarczyk, and S. Basu, “Prediction of S-Palmitoylation Sites in the Male/Female Mouse Using the Protein Language Model,” in International Conference on Frontiers in Computing and Systems, 2023, pp. 439–447.
  7. Sekhar Bandyopadhyay S., Kumar Halder A., Chatterjee P., Sroka J., Nasipuri M., Basu S. (2021) Analysis of Large-Scale Human Protein Sequences Using an Efficient Spark-Based DBSCAN Algorithm. In: Bhattacharjee D., Kole D.K., Dey N., Basu S., Plewczynski D. (eds) Proceedings of International Conference on Frontiers in Computing and Systems. Advances in Intelligent Systems and Computing, vol 1255. Springer, Singapore. https://doi.org/10.1007/978-981-15-7834-2_56
  8. Bandyopadhyay, S.S.; Halder, A.K.; Chatterjee, P.; Nasipuri, M.; Basu, S. HdK-means: Hadoop based parallel K-means clustering for big data. 2017 IEEE Calcutta Conf. CALCON 2017 - Proc. 2018, 2018–Janua, 452–456, doi:10.1109/CALCON.2017.8280774.
  9. Dutta, A; Bandyopadhyay, S.S.; Halder, A.K.; Chatterjee, P.; Nasipuri, M.; Basu, S. Protein Structure Clustering Using Multivariate Mutual Information based Sequence Feature. 2019 International Conference on Emerging Technologies for Sustainable Development - ICETSD '19.