Welcome to Ruthvik Nath Bandari's portfolio

Research

Three records, with their exact status. A submitted abstract is not an accepted paper, and a preprint is not peer reviewed; both are labelled as what they are.

  1. PreprintTechRxiv (IEEE)

    Automating Research Intelligence: Advanced-AI-Generated vs Manually Designed Pipelines

    Preprint v1, posted 6 Feb 2026 under CC-BY 4.0. Not peer reviewed; no journal or conference acceptance is recorded as of 1 Oct 2026.

    Authorship
    17 authors; listed first, with shared first authorship per my records.
    My contribution
    I built the document clustering stage and the LinkedIn collection that fed the five-source corpus. The comparison between agent-generated and manually designed pipelines is the team's finding, not mine alone.
    DOI
    10.36227/techrxiv.177040642.26830215/v1
    Read the recordResearch Intelligence Pipeline
  2. Abstract submittedSPIE Medical Imaging 2027

    Beyond Bigger Datasets: How Training Data Composition Influences Diabetic Foot Ulcer Segmentation

    Abstract submitted to SPIE Medical Imaging; no decision recorded as of October 2026, so this is neither accepted nor published.

    Authorship
    First-authored with Prof. Mohammad Eslami, Harvard Medical School.
    My contribution
    I ran the 75-model composition study and the leakage audit the abstract reports.
    DiaFoot.AI
  3. PublishedIOSR Journal of Computer Engineering, Vol. 27, Issue 2, Ser. 1 (Mar–Apr 2025), pp. 24–30

    Neuro-Face Attendance: Efficient Face Recognition

    Published in IOSR-JCE; accepted 2 March 2025.

    Authorship
    Three authors: Bandari Ruthvik Nath, Bakaram Pranadir Bhagavath Sena Reddy and Dr. D. Menaka (Sathyabama).
    My contribution
    Co-author. The paper reviews face-recognition attendance approaches and outlines future work; the companion NeuroFace project is the related prototype.
    Read the recordNeuroFace Recognition System