Mr. Soumyendu Sekhar Bandyopadhyay

Present Position: Assistant Professor

Department of Computer Science and Engineering, School of Engineering and Technology

E-mail: soumyendu1.bandyopadhyay@adamasuniversity.ac.in

Education:

  • PhD (Technology)(Pursuing), Dept. of CSE, Jadavpur University
  • Tech. , University of Calcutta
  • MCA, Maulana Abul Kalam Azad University of Technology, West Bengal

Research Key Areas:

  • Bioinformatics
  • Large Scale Biological Networks
  • Big Data
  • Machine Learning
  • Data Science

Research Highlights:

  • Worked as Senior Research Fellow at Jadavpur University under the project titled “Development of some analytical tools for analysis of large-scale protein-protein interaction networks” funded by the Department of Biotechnology, Govt. of India from December 2019 – February 2021.
  • Worked as Junior Research Fellow at Jadavpur University under the project titled “Development of some analytical tools for analysis of large-scale protein-protein interaction networks” funded by the Department of Biotechnology, Govt. of India from December 2017 – December 2019.

Experience:

  • Total Experience(Teaching): 6 Years 7 Months
  • Working as an Assistant Professor in the Department of Computer Science and Engineering, Adamas University since February 2021.
  • Worked as Assistant Professor in the Department of MCA, Regent Education and Research Foundation from December 2012 – December 2017
  • Worked as a Lecturer in the Department of BCA, Gitaram Institute of Technology from September 2012 – December 2012.
  • Total Experience(Research): 3 Years 2 Months
  • Worked as Senior Research Fellow at Jadavpur University under the project funded by the Department of Biotechnology, Govt. of India from December 2019 – February 2021.
  • Worked as Junior Research Fellow at Jadavpur University under the project funded by the Department of Biotechnology, Govt. of India from December 2017 – December 2019.

Research Publication (s):

  • Number of research papers published in International refereed journals: 4
  • Number of research papers published in International peer-reviewed SCI/Scopus Proceedings: 3

Selected Publication (s):

  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. (Impact Factor: 3.702)
  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 (Impact Factor: 4.647)
  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 (Impact Factor: 6.208)
  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 (Impact Factor: 4.647)
  5. 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
  6. 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.
  7. 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.

Invited Talks

  1. Invited talk in the AICTE sponsored 6-days Short Term Training Program (STTP) on 3rd May 2021 organized by Department of Information Technology, MCKV Institute of Technology. Title of the Talk: “Big Biological Data Analytics Using Hadoop”.
  2. Invited talk in the AICTE sponsored 6-days Short Term Training Program (STTP) on 5th May 2021 organized by Department of Information Technology, MCKV Institute of Technology. Title of the Talk: “Large-scale Biological Data Analysis using Spark-based Parallel Architecture”.

Award/ Academic Recognition/ Major Professional Activity:

  • Received GATE (Computer Science& Information Technology) scholarship during 2010-2012
  • Received DBT, Project Research Fellowship (JRF/SRF) during 2017-2020