Sutanu Bhattacharya

Assistant Professor - 9
Sutanu Bhattacharya

Phone 863-874-8519

Location Main Campus

Office IST-2069

Directory Computer Science

Sutanu Bhattacharya joined Florida Poly as an assistant professor in the Department of Computer Science in 2021. Before joining Florida poly, he was a graduate teaching and research assistant at Auburn University (2017-21). He earned his Ph.D. in computer science and software engineering from Auburn University under the supervision of Dr. Debswapna Bhattacharya. He also worked as an assistant professor in the Department of Computer Science at Chaibasa Engineering College, India (2014-17).

  • Fellowship Award, 29th Intelligent Systems for Molecular Biology/20th European Conference on Computational Biology (ISMB/ECCB), 2021
  • Highlight Talk, ACM-BCB conference, 2021 and 2019
  • Best Poster Award, 11th ACM-BCB conference, 2020
  • Young Research Excellence Award (2nd place), 16th Midsouth Computational Biology & Bioinformatics Society (MCBIOS), 2019
  • Front Cover Article (July issue), PROTEINS: Structure, Function, and Bioinformatics journal, 2019
  • National Scholarship, All India Council for Technical Education, 2012-2014
  • Ph.D. in Computer Science and Software Engineering, Auburn University, 2021
  • M.S. in Distributed and Mobile Computing, Jadavpur University, 2014
  • B.S. in Information Technology, West Bengal University of Technology, 2011
  • Computational Biology
  • Deep Learning in Bioinformatics
  • Data Science in Bioinformatics
  • Reviewer for Nature Scientific Reports, IEEE-BIBM conference.
  • Member, International Society for Computational Biology (ISCB), 2021-
  • Kryshtafovych, A., …, Bhattacharya, S.*, …, Zheng, W. (2021). Modeling SARS-CoV2 proteins in the CASP-commons experiment. Proteins: Structure, Function, and Bioinformatics, https://doi.org/10.1002/prot.26231
  • Bhattacharya, S.*, Roche, R., Shuvo, M. H., & Bhattacharya, D. (2021). Recent Advances in Protein Homology Detection Propelled by Inter-Residue Interaction Map Threading. Frontiers in Molecular Biosciences, 8. https://doi.org/10.3389/fmolb.2021.643752
  • Roche, R., Bhattacharya, S. *, & Bhattacharya, D. (2021). Hybridized distance- and contact-based hierarchical structure modeling for folding soluble and membrane proteins. PLOS Computational Biology, 17(2), e1008753. https://doi.org/10.1371/journal.pcbi.1008753
  • Bhattacharya, S. *, Roche, R., & Bhattacharya, D. (2020). DisCovER: Distance- and orientation-based covariational threading for weakly homologous proteins. BioRxiv, 2020.01.31.923409. https://doi.org/10.1101/2020.01.31.923409
  • Shuvo, M. H., Bhattacharya, S. *, & Bhattacharya, D. (2020). QDeep: Distance-based protein model quality estimation by residue-level ensemble error classifications using stacked deep residual neural networks. Bioinformatics, 36(Supplement_1), i285–i291. https://doi.org/10.1093/bioinformatics/btaa455
  • Bhattacharya, S. *, & Bhattacharya, D. (2020). Evaluating the significance of contact maps in low-homology protein modeling using contact-assisted threading. Scientific Reports, 10(1), 2908. https://doi.org/10.1038/s41598-020-59834-2
  • McGehee, A., Bhattacharya, S. *, Roche, R., & Bhattacharya, D. (2020). PolyFold: An interactive visual simulator for distance-based protein folding. PLOS ONE, 15(12): e0243331. https://doi.org/10.1371/journal.pone.0243331
  • Bhattacharya, S. *, & Bhattacharya, D. (2019). Does inclusion of residue-residue contact information boost protein threading? Proteins: Structure, Function, and Bioinformatics, 87(7), 596–606. https://doi.org/10.1002/prot.25684