Skip to content
View waingram's full-sized avatar

Highlights

  • Pro

Organizations

@BibApp @VirginiaTech

Block or report waingram

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
waingram/README.md

William A. Ingram

I am an Associate Professor at Virginia Tech, where I currently serve as Associate Dean and Executive Director for Information Technology in the University Libraries, and Director for the Center for Digital Research and Scholarship.

My research is centered on enhancing the functionality and scope of academic library services by using Large Language Models (LLMs) and other natural language processing (NLP) techniques to analyze and derive new value from library collections. Supported by funding from the Institute of Museum and Library Services (IMLS), specifically through grants lg-256638-ols-24 and lg-37-19-0078-19, we aim to enrich library collections and empower research communities by leveraging artificial intelligence (AI) to unlock the profound potential of electronic theses and dissertations (ETDs). Our approach involves developing innovative, service-oriented applications that enhance the depth, reach, and reliability of library services. By applying advanced information retrieval, NLP, and other forms of AI, our goal is to enhance the visibility and accessibility of graduate scholarship, position the university as a leader in the innovative use of AI within academic libraries, and strengthen the library's reputation as a pioneer in digital scholarship and educational technology.

I received a B.A. in Cognitive Science from University Of Virginia and an M.S. in Library and Information Science from University of Illinois at Urbana-Champaign in 2008. My ongoing involvement in projects related to scholarly communication, digital preservation, repositories, and digital libraries has led to my current Ph.D. studies in Computer Science at Virginia Tech, supervised by Professor Edward A. Fox, focusing on NLP and machine/deep learning applied to scholarly big data.

ORCID logo View my ORCID profile

  • 🔭 I’m currently working on a study to evaluate the UI/UX and accessibility of ETDs converted from PDF to HTML.
  • 🌱 I’m currently learning about transformer APIs.
  • 👯 I’m looking to collaborate on project related to libraries, text and data mining, and scholarly big data.
  • 🤔 I’m looking for help with participants for user studies.
  • 💬 Ask me about the future of university libraries.
  • 📫 How to reach me: bill-ingram.com |Twitter | Instagram | LinkedIn
  • 😄 Pronouns: he/him
  • ⚡ Fun fact: With the advancements in computational methods, scholarly big data, and AI, digital libraries are not just repositories of information but also valuable resources for data mining and knowledge discovery.

Popular repositories Loading

  1. code-embeddings code-embeddings Public

    A Comparative Study of Various Code Embeddings in Software Semantic Matching

    Jupyter Notebook 13 2

  2. dspace-deploy dspace-deploy Public

    Capistrano recipe for deploying DSpace and software stack.

    Ruby 7

  3. dspace dspace Public

    Chef cookbook for installing [DSpace](https://github.com/Dspace/Dspace)

    3 1

  4. python-program-slicing python-program-slicing Public

    Final project code for CS 6704: Topics in Automated Testing and Debugging for Emerging Domains, Fall 2021, Virginia Tech

    Jupyter Notebook 3 1

  5. BibApp BibApp Public

    Forked from BibApp/BibApp

    The BibApp is a Campus Research Gateway and Expert Finder.

    Ruby 2 1

  6. csv-transformer csv-transformer Public

    Transforms CSV to JSON and RDF.

    JavaScript 2