Post by Reyansh Badhwar

I'm excited to share that two of my research contributions have been published in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting and will be presented at HFES this October in Chicago. The first project, "Multi-Agent Systems for Remote Healthcare with Enhanced Efficiency and Trust through Quantum-Model Methodology and Validation," presents a system of AI agents with distinct roles, such as symptom analysis, risk assessment, and information verification, that collaboratively support decision-making in remote emergent care. This multi-agent architecture enhances clarity and reduces hallucinations common in single-agent systems. Publication: https://lnkd.in/ge2J8Big The second project, "Human Performance Modeling with Natural Language (HPM-NL) for Upper-limb Prostheses: Generative pre-Trained Transformer (GPT)-Based Rapid HPM Under Low Hallucination," proposes a GPT-based approach to automatically generate human performance models from natural language sources. The method offers a scalable way to model user interaction with prosthetic technologies, significantly reducing development time while maintaining accuracy and interoperability. Publication: https://lnkd.in/ge2J8Big Grateful to have worked closely with Junho Park, PhD, Zehaan Walji, and Parshva Dave on these projects. I learned a great deal from their collaboration, and I'm looking forward to continuing this work at HFES 2025.