About Me

Dr. Bipasha Banerjee is Assistant Professor at Virginia Tech, where she currently works as an AI Research Scientist, Digital Libraries for the University Libraries. Dr. Banerjee is an affiliate faculty member with the Center for Digital Research and Scholarship at Virginia Tech.

She completed her Ph.D. in Computer Science from Virginia Tech, in August 2024 advised by Dr. Edward A. Fox . Her dissertation is titled "Improving Access to ETD Elements Through Chapter Categorization and Summarization" brings computational access to long documents such as Electronic Theses and Dissertations (ETDs) by providing readers with more granular level metadata information such as chapter summaries and classification labels.

Research Topics

  • Natural Language Understanding

  • Artificial Intelligence

  • Information Retrieval

  • Knowledge Extraction

  • Digital Library

  • AI in Evidence Synthesis

  • Optical Character Recognition

  • Interdisciplinary Applied AI

Awards

  1. IMLS Award, August, 2026 $473,403

    I was awarded an applied research grant by Institute of Museum and Library Services titled "Library-wide, Machine-Generated Metadata as First-Class Structural Components". This is a 3-year research project.

    PI: Dr. Bipasha Banerjee

    Co-PI(s): Jennifer Goyne, Dr. William A. Ingram

  2. IMLS Award, August, 2026 $178,994

    I was awarded an applied research grant by Institute of Museum and Library Services titled "Auditable AI Workflows for Evidence Synthesis Library Services". This is a 2-year planning project.

    PI: Dr. Bipasha Banerjee

    Co-PI(s): C. Cozette Comer, Dr. William A. Ingram

  3. Collaborative Seed Grant, May, 2026 $10,000

    In collaboration with the Dr. Irene Curulli (School of Design), I was awarded a SEED grant to investigate "Resilient Post-Industrial Landscapes along the James River: A Collaborative AI and Archival Approach."

    PI: Dr. Irene Curulli (Virginia Tech, School of Design)

    Co-PI(s): Dr. Bipasha Banerjee

  4. Collaborative Seed Grant, May, 2026 $10,000

    In collaboration with the Dr. Eunju Hwang (School of Design), Dr. Junghwan Kim (Geography), Jennifer Goyne (Library) I was awarded a SEED grant to investigate "Human-Centered GeoAI for Age-Friendly Walkability."

    PI: Dr. Eunju Hwang (Virginia Tech, School of Design)

    Co-PI(s): Dr. Junghwan Kim, Dr. Bipasha Banerjee, Jennifer Goyne

Professional
Experience

Work Experience

  1. Virginia Tech

    August, 2024 - Present

    AI Research Scientist, Assistant Professor, University Libraries.

  2. Virginia Tech

    August, 2019 — August, 2024

    Graduate Research Assistant

  3. ADP

    May, 2019 — August, 2019

    Global Product and Technology Intern

  4. Virginia Tech

    January, 2019- May, 2019

    Graduate Teaching Assistant

  5. Tata Consultancy Services

    April, 2016- November, 2017

    Assistant Systems Engineer

Education

  1. Virginia Tech

    2019 — 2024

    Ph.D. in Computer Science

  2. Virginia Tech

    2022

    M.S in Computer Science

  3. West Bengal University of Technology

    2015

    Bachelor of Technology in Computer Science and Engineering

Publications

My primary research interest lies in the Natural Language Processing, AI, Machine Learning, Large Language Models, and Digital Libraries.

List of recent publications

  1. Context-Based URL Classification for Open Access Datasets and Software in Scholarly Document. 2025 PDF

    Salsabil. L., Obadage, R. R., Banerjee, B., Abeysinghe Y., Alam, S., Färber, M., Ingram, W. A., Fox, E.A. & Wu, J. Context-Based URL Classification for Open Access Datasets and Software in Scholarly Document. In 2025, The 25th ACM/IEEE Join Conference on Digital Libraries (JCDL).

  2. Learning from LLM Disagreement in Retrieval Evaluation. 2025 PDF

    Ingram, W. A, Banerjee, B. & Fox, E.A. Learning from LLM Disagreement in Retrieval Evaluation. In 2025, The 25th ACM/IEEE Join Conference on Digital Libraries (JCDL).

  3. Retrieval-Augmented LLMs for ETD Subject Classification. 2025 PDF

    Kalir, H., German, F., Aboelnaga, Amr A., Banerjee, B., Eldardiry, H. & Ingram W. A. Retrieval-Augmented LLMs for ETD Subject Classification. In 2025 IEEE International Conference on Big Data (BigData).

  4. Using an Ensemble Approach for Layout Detection and Extraction from Historical Newspapers. 2025 PDF

    Jadhav, A., Banerjee, B., & Goyne J. Using an Ensemble Approach for Layout Detection and Extraction from Historical Newspapers. In 2025 IEEE International Conference on Big Data (BigData).

  5. Optical Character Recognition for Pre-Digital Historical Documents using Large Language Models. 2025 PDF

    Miller, C., & Banerjee, B. Optical Character Recognition for Pre-Digital Historical Documents using Large Language Models.
    In 2025, The 29th International Conference on Machine Learning and Applications.

  6. When LLMs Disagree: Diagnosing Relevance Filtering Bias and Retrieval Divergence in SDG Search. 2025 PDF

    Ingram, W. A., Banerjee, B., & Fox, E. A. (2025). When LLMs Disagree: Diagnosing Relevance Filtering Bias and Retrieval Divergence in SDG Search. LLM4Eval at SIGIR 2025 DOI: https://doi.org/10.48550/arXiv.2507.02139

  7. Evaluating Human-LLM Alignment in ETD Subject Classification. 2025 PDF

    Klair, H., German, F., Banerjee, B., & Ingram, W. A. (Accepted).Evaluating Human-LLM Alignment in ETD Subject Classification. In 2025, The 29th International Conference on Theory and Practice of Digital Libraries. https://doi.org/10.1007/978-3-032-06136-2_6

  8. Making History Readable. 2024 PDF

    Banerjee, B., Goyne, J., & Ingram, W. A. (2024, December). Making History Readable. In 2024 IEEE International Conference on Big Data (BigData) (pp. 8620-8622). IEEE. DOI: 10.1109/BigData62323.2024.10826028

  9. Automating Chapter-Level Classification for Electronic Theses and Dissertations. 2024 PDF

    Banerjee, B., Ingram, W. A., & Fox, E. A. (2024, December). Automating Chapter-Level Classification for Electronic Theses and Dissertations. In 2024 IEEE International Conference on Big Data (BigData) (pp. 2400-2409). IEEE. DOI: 10.1109/BigData62323.2024.10825418

  10. Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals. 2024 PDF

    Ingram, W. A., Banerjee, B., & Fox, E. A. (2024, December). Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals. In 2024 IEEE International Conference on Big Data (BigData) (pp. 8677-8679). IEEE. DOI: 10.1109/BigData62323.2024.10825072

  11. Integrated Digital Library System for Long Documents and their Elements. 2023 PDF

    S. Chekuri, P. Chandrasekar, B. Banerjee, S. Park, N. Masrourisaadat, A. Ahuja, W. A. Ingram, J. Wu and E. A. Fox, "An Integrated Digital Library System for Long Documents and their Elements," 2023 ACM/IEEE Joint Conference on Digital libraries".

  12. Applications of data analysis on scholarly long documents. 2022 PDF

    B. Banerjee, W. A. Ingram, J. Wu and E. A. Fox, "Applications of data analysis on scholarly long documents," 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 2473-2481, doi: 10.1109/BigData55660.2022.10020935.

  13. Opening scholarly documents through text analytics. 2022PDF

    Bipasha Banerjee. 2022. Opening Scholarly Documents through Text Analytics. In Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries (Cologne, Germany) (JCDL 22). Association for Computing Machinery, New York, NY, USA, Article 47, 2 pages. https://doi.org/10.1145/3529372.3530948

  14. Building A Large Collection of Multi-domain Electronic Theses and Dissertations. 2021PDF

    S. Uddin, B. Banerjee, J. Wu, W. A. Ingram and E. A. Fox, "Building A Large Collection of Multi-domain Electronic Theses and Dissertations," 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, 2021, pp. 6043-6045, doi: 10.1109/BigData52589.2021.9672058.

Presentations

  1. AI in Multi-modal Digital Libraries, (Invited Talk)

    Talk presented at the Library of Congress, AI Literacy and Learning Summit

  2. Preserving and Understanding the Past through Large Language Models. Generative AI in Libraries Conference. 2025

    Talk presented at the Generative AI in Libraries Conference. URL: https://shsulibraryguides.org/genailibraries/schedule.

  3. AI-driven Solutions for Digital Library Collections. 2025

    Talk presented at the Generative AI in Libraries Conference. URL: https://shsulibraryguides.org/genailibraries/schedule.

  4. Help Me Help You - A Mixed-Initiative Approach To Explore Book-length Documents. 2022

    Talk presented at CIKM 2022 Workshop on Human-in-the-loop Data Curation

  5. Applications of mining ETDs. 2021

    Presented at ETD 2021 conference.

  6. Extracting Information from Electronic Thesis and Dissertations. 2021

    Talk presented at the ACM Capital Region Celebration of Women (CAPWIC 2021)

Reviewer

  1. ACM Web Conference

    2027

  2. ACM/IEEE Joint Conference on Digital Libraries

    2026, 2025, 2024

  3. Jounrnal of Informaiton and Culture

    2026

  4. Scientometric

    2025

Digital Library
Innovations Lab

We have a team of awesome students working on several research projects!

Lab Members

Yingjie (Chelsea) Wang

Yingjie (Chelsea) Wang

Ph.D. Candidate

Causal AI, Explainable-AI (XAI), NLP

Stella Kang

Stella (Minji) Kang

Undergraduate Researcher

Applied AI, Evidence Synthesis

Artur Primo

Artur Primo

Undergraduate Researcher

AI in Geospatial Data

Tanvi Kapoor

Tanvi Kapoor

Undergraduate Researcher

Historical NLP, Handwriting OCR

Vivian Wright

Vivian Wright

Undergraduate Researcher

Generative AI, Evidence Synthesis

I have collaborated with several awesome researchers in the library and other departments!

Collaborators

Dr. William A. Ingram

Dr. William A. Ingram

Associate Professor, University Libraries, Virginia Tech

Scholarly AI, Digital Libraries, NLP, IR

Dr. Irene Curulli

Dr. Irene Curulli

Associate Professor of Practice, School of Design, Virginia Tech

Transforming the waterfronts of former industrial waterways

Jennifer Goyne

Jennifer Goyne

Assistant Director, Digital Library Development, University Libraries, Virginia Tech

Use of AI in digital libraries

C. Cozette Comer

Cozette Comer

Assistant Professor, University Libraries, Virginia Tech

Use of AI in Evidence Synthesis

Chreston Miller

Dr. Chreston Miller

Assosciate Professor, University Libraries, Virginia Tech

Historical NLP, OCR, Handwriting Recognition

Research Interests

Some of my current projects include:

  1. Improving natural language understanding from digital library collections:
    Methods to extract information, classify, summarize multi-modal content from digital library collections
  2. Gaining insights from historical collections through Optical Character Recognition :
    Improved OCR methods to extract text and perform textual analysis and processing on a historical document collection.
  3. Automatic identification of relevant scholarly work for systematic reviews and meta analysis :
    AI and ML methods to automate classification of relevant work in systematic reviews following a more explainable and reproducible workflow.
  4. Understanding SDG contribution in scholarly work :
    AI and ML methods for filtering and classification of scholarly work based on the contributing SDG.