04Publications

Peer-reviewed work

Five papers across healthcare AI, LLM safety and applied deep learning, with Springer and IEEE. I publish under my full name, Rohan Paul Richard.
papers05
  1. 01
    2026

    Passive Screening for Obstructive Sleep Apnea via Value-Augmented EHR Token Embeddings

    Kosiba, Sudharsan, Parthasarathi, Richard, Acharya, Greenfield

    An accepted research paper on passive health screening with machine learning.

    HIMS / CSCE, Springer Natureaccepted · in press
  2. 02
    2025

    Taming Large Language Models for Healthcare: A Multi-layered System

    Sudharsan, Kosiba, Parthasarathi, Richard

    A layered guardrail system for healthcare chatbots. Classifiers, vector-store matching and dynamic prompts keep the bot safe for patients with chronic conditions.

    CSCE 2024, Springer CCIS, pp. 191–201read paper ↗
  3. 03
    2024

    A Client-Server Based Educational Chatbot for Academic Institutions

    Richard, Veemaraj, Thomas, Mathew, Stephen, Koshy

    A chatbot that gives students answers grounded in course material that instructors trust. A Mixture-of-Experts LLM with retrieval-augmented generation.

    IEEE CONIT 2024, pp. 1–5first authorread paper ↗
  4. 04
    2024

    Assistance for Visually Impaired People in Identifying Multiple Scenes Using Deep Learning

    Divina, Richard, Raimond

    A deep-learning system that describes the scene in front of a visually impaired user, so they can identify more than one setting around them.

    ICDICI 2023, Springer Algorithms for Intelligent Systemsread paper ↗
  5. 05
    2024

    A Deepfake Image Classifier System for Real and Doctored Image Differentiation

    Thomas, Ebenezer, Richard

    A CNN on the MesoNet architecture that separates real images from doctored and deepfake images.

    IEEE ICICT 2024, pp. 1247–1251read paper ↗