Web Science and Digital Libraries Research Group

As stated in the paper, " A self-correcting multi-agent LLM framework for language-based physics simulation and explanation " [1], physics simulations are essential in science and engineering, but creating them often requires expert level knowledge of a variety of domains. For example, the development of a fluid simulation requires a strong understanding of the Navier-Stokes equations and the appropriate numerical solvers surrounding that area. In addition, users require proficiency in a programming language and familiarity with physics libraries, as building a simulation entirely from scratch is rarely, if ever, practical. The figure below illustrates the outcome of their research. Most notably, the user provides a basic ‘layman’ input and a basic set of parameters, while being afforded the luxury of omitting critical information required to develop a comprehensive solution. This is all accomplished using the Memory-Coordinated Physics-Aware Simulation (MCP-SIM), a self-c...

  I am pleased to share that I have been awarded an Internal Research and Development Grant from the Office of Enterprise Research and Innovation at Old Dominion University in the amount of $50,000, beginning July 1, 2026. The project, titled “Trust-Centered AI Avatars for Accessible Telehealth Support Among Unhoused Populations,” is co-led with Drs. Ginger Watson and Tina Gustin. This project proposes to improve healthcare access for vulnerable and underserved populations by leveraging, enhancing, and evaluating an NSF-funded telehealth kiosk, TeleHSupport, to improve usability through an audio interface and AI-powered interactive avatar. TeleHSupport is a secure, self-service kiosk enabling individuals with limited access to traditional healthcare to receive reliable AI-generated health information and guidance. It delivers safe, evidence-based guidance on chronic disease through text-based conversational AI, with clinically validated content curated by advanced practice nursi...

Evolution of Language-Guided Control in UAV Systems From Search and Rescue (SAR) to intelligence, surveillance and reconnaissance (ISR), the use of small unmanned aerial systems (sUAS) in scientific and military applications has become increasingly more prominent. One of the most important aspects of the use of these devices is how they are directed. This blog takes a look at the evolution of control for these systems from 2017 to 2026, by examining the approach used in the paper, “ 'Fly Like This': Natural Language Interface for UAV Mission Planning ” [1], to the use of the Large Language Models (LLMs) being examined in “ A Universal Large Language Model-Drone Command and Control Interface ” [2]. These papers explore how natural language interfaces (NLI), or more generally, each of these multiple human-system interfaces can be used to dictate the actions of these platforms. Taken together, these publications reflect the technological capabilities present at the time of their r...

Figure 1: A sample prompt used in generating persona using ChatGPT (Figure 1 in   Park et al. ) Introduction: The Unseen Biases of Our AI Companions Large Language Models (LLMs) such as ChatGPT have become ubiquitous in our lives. We rely on them as impartial conveyors of facts for everything ranging from composing emails to solving complex queries. However, if we put these AIs in the hot seat and question them about identity, which is a very human thing, what would be the outcome? What if we ask them about autism? In the recent study “ ‘As an Autistic Person Myself:’ The Bias Paradox Around Autism in LLMs ” ( CHI 25 ), Park et al . went deep to understand what ChatGPT thinks about the condition of being autistic. The results they got weren’t just a malfunction of the system; rather, they were an indication of the way people behave towards the issue of neurodiversity,  going back and forth between one extreme and the other. The artificial mind is going through the so-called " ...