Sutanu Bhattacharya, Ph.D.

Research Interests

PUBLICATIONS [Google Scholar][ResearchGate]

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

• 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)

• N. Raychawdhary, S. Bhattacharya, G. Dozier, C. Seals, “Empowering Sentiment Analysis in African Low-Resource Languages through Transformer Models and Strategic Language Selection", IEEE ACCESS, (2025). (Under review)

• N. Raychawdhary, S. Bhattacharya, G. Dozier, C. Seals, “Empowering Undergraduates with NLP: Integrative Methods for Deepening Understanding through Visualization and Case Studies", ASEE Southeast Conference, (2025). (Accepted)

• 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. (Impact Factor: 3.756)

• N. Raychawdhary, A. Das, S. Bhattacharya, G. Dozier, C. Seals, “Optimizing Multilingual Sentiment Analysis in Low-Resource Languages with Adaptive Pretraining and Strategic Language Selection", IEEE ICML, (2024). PDF

• N. Raychawdhary, A. Das, S. Bhattacharya, G. Dozier, C. Seals, “Enhancing Monolingual Sentiment Classification: Pioneering Strategies in Tailored Language Training and Analytical Techniques", IEEE ICML, (2024). PDF

• N. Raychawdhary, A. Das, S. Bhattacharya, G. Dozier, C. Seals, “Enhancing Sentiment Analysis in Amharic: Leveraging Transformer-Based Language Model for Low-Resource African Languages", IEEE SoutheastCon, (2024). PDF

• 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)

• 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)

• 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)

• 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)

• 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)

• R. Roche, S. Bhattacharya, D. Bhattacharya, “Hybridized distance- and contact-based hierarchical structure modeling for folding soluble and membrane proteins”, BCB '21: Proceedings of the 12th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics , USA, August 2021. PDF (Highlight Talk)

• S. Bhattacharya, R. Roche, D. Bhattacharya, “DisCovER: distance- and orientation-based covariational threading for weakly homologous proteins”, 29th ISMB/ECCB 2021, conference, July 25-30, 2021. Poster, Talk (Fellowship Award)

• A. McGehee, S. Bhattacharya, R. Roche, D. Bhattacharya, “PolyFold: an interactive visual simulator for distance-based protein folding”, BCB '20: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics , USA, September 2020. (Best Poster Award)

• S. Bhattacharya, D. Bhattacharya, “How Effective is Contact-assisted Protein Threading?”, BCB '19: Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics , USA, September 2019. PDF (Highlight Talk)

• S. Bhattacharya, D. Bhattacharya, “Contact-assisted Protein Threading: An Evolving New Direction”, BCB '19: Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics , USA, September 2019. PDF, Poster

• S. Bhattacharya, D. Bhattacharya, “Does contact information powered by deep learning boost protein threading?”, Auburn Research Student Symposium 2019, Auburn University, USA, April 09, 2019. Photo

• S. Bhattacharya, D. Bhattacharya, “Does inclusion of residue‐residue contact information boost protein threading?”, 16th Annual MCBIOS Conference, Birmingham, USA, March 28-30, 2019. (Won 2nd place in student oral presentation) Presentation, Poster, Photo, News

• 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

• Ph.D. in Computer Science and Software Engineering from Auburn University, Auburn, USA [2017-2021].
• M.Tech. from Jadavpur University, Kolkata, India [2012 - 2014].
• B.Tech. from Bengal Institute of Technology, Kolkata, India [2007 - 2011].

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].

Students' Awards & Achievements (+undergraduate student, ++graduate student)

• Robert Spicer++, Auburn University at Montgomery: First Position in Young Scientist Excellence Award (Graduate Student Category), 21st Annual MCBIOS Conference, Utah, 2025.
• Robert Spicer+, Auburn University at Montgomery: College Award for Graduate Presentation for Auburn University at Montgomery, Auburn Research Symposium at Auburn University, 2025.
• Robert Spicer++, Auburn University at Montgomery: GSRAC Conference travel award from Auburn University at Montgomery, 21st Annual MCBIOS Conference, Utah, 2025.
• Sai Prashanthi Pallati++, Auburn University at Montgomery: GSRAC Conference travel award from Auburn University at Montgomery, 21st Annual MCBIOS Conference, Utah, 2025.
• Robert Spicer++, Auburn University at Montgomery: Travel Award CRA-WP Grad Cohort for Inclusion, Diversity, Equity, Accessibility, and Leadership Skills (IDEALS) Workshop, Denver, Colorado, 2025.
• William Rochelle+, Auburn University at Montgomery: GABBR LSAMP summer research internship, 2024.
• Robert Spicer+, Auburn University at Montgomery: Travel Award, ACM CMD/IT TAPIA conference at San Diego, USA, 2024.
• Robert Spicer+, Auburn University at Montgomery: College Award for Undergraduate Poster Presentation for Auburn University at Montgomery, Auburn Research Symposium at Auburn University, 2024.
• Nathaneil Hughes+, Auburn University at Montgomery: Outstanding Student Award for Computer Science Department, 2024.
• Kevan Baker++, Florida Polytechnic University: MS Thesis, Spring 2023. Joined Auburn University as a PhD student.
• Nathaneil Hughes+, Auburn University at Montgomery: Best Poster Award (3rd) and Travel Award, ACM CMD/IT TAPIA conference at Dallas, USA, 2023.
• Kevan Baker++, Florida Polytechnic University: Best Poster Award (3rd) and Travel Award, 19th Annual MCBIOS Conference, Dallas, USA, 2023.

Academic Experience

• Assistant Professor in the Computer Science department at Auburn University at Montgomery, Alabama [Fall 2022 – ongoing].
• Assistant Professor in the Computer Science department at Florida Polytechnic University, Florida [Fall 2021 – Summer 2022].
• Assistant Professor in the Computer Science department at Chaibasa Engineering College, India [2014 – 2017].

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

• Click to download my CV


• Date Modified : 11-September-2023