Sutanu Bhattacharya

Sutanu Bhattacharya, Ph.D.

Assistant Professor
Office: Goodwyn Hall 309L
Auburn University at Montgomery
7400 East Dr, Montgomery, AL 36117
Phone: (w) 334-244-3251; (p) 334-444-5256
E-mail: sbhatta4[AT]aum.edu

About me

I am a tenure-track Assistant Professor at Auburn University at Montgomery (AUM) in the Computer Science department. Before joining AUM, I was an Assistant Professor in the department of Computer Science at Florida Polytechnic University (2021-2022). My basic interest lies in protein three-dimensional (3D) structure prediction problem, specifically low-homology protein threading. I earned Ph.D. degree from the Department of Computer Science and Software Engineering, Auburn University, in August 2021. My advisor was Dr. Debswapna Bhattacharya. My dissertation title is New computational and data-driven methods for protein homology modeling (PDF).



Research Interests

  • Bioinformatics and Computational Biology
  • Deep Learning
  • Natural Language Processing


PUBLICATIONS [Google Scholar][ResearchGate]

Ph.D. Dissertation

  • S. Bhattacharya, "New computational and data-driven methods for protein homology modeling", Auburn University, (2021). PDF


Book Chapter


2023

  • S. Bhattacharya, R. Roche, M. H. Shuvo, B. Moussad, D. Bhattacharya, "Contact-assisted threading in low-homology protein modeling", Methods in Molecular Biology, by Springer Nature, (2023). (Impact Factor: 10.71)

Full Papers


2024

  • K. Baker, N. Hughes, S. Bhattacharya, “An interactive visualization tool for educational outreach in protein contact map overlap analysis", Frontiers in Bioinformatics, 4, (2024). PDF.


2023

  • N. Hughes, K. Baker, Aditya Singh, Aryavardhan Singh, T. Dauda, S. Bhattacharya, “Bhattacharya_Lab at SemEval-2023 task 12: A Transformer-based language model for sentiment classification for low-resource African languages: Nigerian Pidgin and Yoruba", In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval- 2023), pages 1502-1507, Toronto, Canada, July 2023. Association for Computational Linguistics. [Ranked 1 out of 33 groups for Nigerian Pidgin and Ranked 5 out of 33 groups for Yoruba], (2023). PDF,.

  • N. Raychawdhary, N. Hughes+, S. Bhattacharya, G. Dozier, C. Seals, “A Transformer- Based Language Model for Sentiment Classification and Cross-Linguistic Generalization: Empowering Low-Resource African Languages", IEEE AIBThings, (2023). (Accepted)


2022

  • R. Roche, S. Bhattacharya, M. H. Shuvo, D. Bhattacharya, “rrQNet: protein contact map quality estimation by deep evolutionary reconciliation", Proteins: Structure, Function, and Bioinformatics, (2022). PDF, GitHub. (Impact Factor: 3.756)


2021

  • S. Bhattacharya, R. Roche, B. Moussad, D. Bhattacharya, “DisCovER: distance- and orientation-based covariational threading for weakly homologous proteins”, Proteins: Structure, Function, and Bioinformatics, (2021). PDF, GitHub. Poster and Talk at 29th ISMB/ECCB 2021 conference.

  • A. Kryshtafovych,..., S. Bhattacharya, ..., “Modeling SARS-CoV2 proteins in the CASP-commons experiment”, Proteins: Structure, Function, and Bioinformatics, (2021). PDF. (Impact Factor: 3.756)

  • S. Bhattacharya, R. Roche, M. H. Shuvo, D. Bhattacharya, "Recent advances in protein homology detection propelled by inter-residue interaction map threading", Frontiers in Molecular Biosciences, 8, 377(2021). Abstract. (Impact Factor: 3.590)

  • R. Roche, S. Bhattacharya, D. Bhattacharya, “Hybridized distance- and contact-based hierarchical structure modeling for folding soluble and membrane proteins", PLOS Computational Biology, 17(2): e1008753(2021). PDF, GitHub. [Selected for Highlight Talk at 12th ACM-BCB conference]. (Impact Factor: 4.428)


2020

  • A. McGehee, S. Bhattacharya, R. Roche, D. Bhattacharya, “PolyFold: an interactive visual simulator for distance-based protein folding", PLOS ONE, 15(12): e0243331(2020). PDF, GitHub. (Impact Factor: 2.740)

  • M. H. Shuvo, S. Bhattacharya, D. Bhattacharya, “QDeep: distance-based protein model quality estimation by residue-level ensemble error classifications using stacked deep residual neural networks", ISMB Proceedings (2020), Bioinformatics, 36(S1): i285-i291 (2020). PDF, GitHub. (Impact Factor: 5.610)

  • S. Bhattacharya, D. Bhattacharya, “Evaluating the significance of contact maps in low-homology protein modeling using contact-assisted threading”, Scientific Reports, 10: 2908 (2020). PDF. (Impact Factor: 4.379)


2019

  • S. Bhattacharya, D. Bhattacharya, “Does inclusion of residue‐residue contact information boost protein threading?”, Proteins: Structure, Function, and Bioinformatics, 87(7): 596-606 (2019). PDF, Front Cover Article, TOP Downloaded Paper of 2018-19. (Impact Factor: 3.756)


Posters and Presentations


2021


2020


2019


2018

  • S. Bhattacharya, D. Bhattacharya, “A new contact-assited threading approach for predicting more accurate protein 3D structure”, 2018 Graduate Engineering Research Showcase, Auburn University, USA, October 28, 2018 (Poster). Photo



ACADEMICS

Education

Awards & Achievements
  • Awarded an NSF grant of $400K for "CAP: Developing a Machine Learning Lab for AI-Powered Training and Research" (Role: Co-PI)
  • Awarded the departmental Outstanding Faculty Teaching Award 2025 at Auburn University at Montgomery.
  • Received Faculty Award to attend the ACM CMD/IT TAPIA Conference, San Diego, USA, 2024.
  • Best Poster (3rd place) Award at the ACM CMD/IT TAPIA Conference, Dallas, USA, 2023.
  • My group Ranked 1 (out of 33 teams) in AfriSenti-SemEval: Sentiment Analysis for African Languages (Task 12) at the 17th International Workshop on Semantic Evaluation, Canada, 2023. Results
  • Best Poster (3rd place) Award at the 19th Annual MCBIOS Conference, Dallas, USA, 2023.
  • Our work GoFold: a real-time protein folding program is selected for an Oral Presentation at the 19th Annual MCBIOS Conference, Dallas, USA, March 15-17, 2023.
  • Paper got selected for Highlight Talk in the ACM-BCB 2021 conference. PDF
  • Fellowship Award for ISMB/ECCB 2021 conference to present our DisCovER work, July 25-30, 2021.
  • Our work, PolyFold, has been awarded Best Poster in the 11th ACM-BCB conference (Virtual), Sept 21-24, 2020.
  • Paper has been recongnized as Top Downloaded Paper of 2018-2019 by WILEY.
  • Paper got selected for Highlight Talk in the ACM-BCB 2019 conference. PDF
  • Paper got published as the Front Cover Article in the July 2019 issue of PROTEINS: Structure, Function, and Bioinformatics journal.
  • Awarded Young Research Excellence Award (2nd place) at 16th Annual MCBIOS Conference, Birmingham, USA, 2019. News, Proceedings
  • Awarded Travel grant to attend 16th Annual MCBIOS Conference, Birmingham, USA, 2019.
  • A.I.C.T.E. National Scholarship for M.Tech. at Jadavpur University, Kolkata, India [2012 – 2014].

Academic Experience

Teaching Assistanships
  • Fall 2019: Computational Intelligence & Adversarial Machine Learning (COMP 5970/6970), CSSE, Auburn University.
  • Spring 2019, 2018; Fall 2018, 2017: Fundamentals of Computing I (COMP 1210), CSSE, Auburn University.
  • Spring 2020; Fall 2019, 2018; Summer 2018, 2020 (CPSC 1223): Introduction to Computer Science II, CSSE, Auburn University.
  • Spring 2020; Fall 2019, 2018; Summer 2018, 2020 (CPSC 1213): Introduction to Computer Science I, CSSE, Auburn University.
  • Summer 2020 (CPSC 1223): Data Structures, CSSE, Auburn University.


CONTACT

Mailing Address: Goodwyn Hall 309L, Department of Computer Science, College of Science, Auburn University at Montgomery, 7400 East Dr, Montgomery, AL 36117.

Email Address: sbhatta4[AT]aum.edu
Phone: (w) (334) 244 3251; (p) (334) 444 5256



CV