Nabaraj Subedi

Multimodal LLMs · 3D vision · Agentic systems

I’m an M.S. student in Computer Science at the University of Wyoming, advised by Dr. Shivanand V. Sheshappanavar and Dr. Ahmed Abdelaty. My research connects vision, language, and 3D geometry to help AI reason about real engineering problems.

I’m fascinated by this question: How can we build AI systems that bring together multiple modalities to understand and interact with the real world?

Current research

The questions behind the work
01 / 3D VISION

ConstructGPT

How can we model construction sites using diffusion, world models, and multimodal RAG?

Compare site geometry with BIM to support monitoring and compliance checks.

Read the paper ↗
02 / MULTIMODAL RAG

PlanSightRAG

How can AI answer questions about engineering drawings?

Retrieve visual evidence directly from plans to ground answers and compliance decisions.

Read the paper ↗
03 / AGENTIC AI

WYDOT assistant

How can engineers find answers across scattered documents?

Connect engineering documents in a knowledge graph for multi-agent retrieval and reasoning.

Details in my CV ↗

Selected research

All publications
  1. ConstructGPT overview: as-built scan versus planned BIM, next-phase forecast, and a compliance agent
    3D vision · World modelsPoster

    ConstructGPT: BIM-Conditioned 3D Diffusion and World Models for Automated Construction Site Monitoring and Compliance Checking

    N. Subedi, Y. Majeed, A. Abdelaty, S. V. Sheshappanavar

    CVPR 2026 Workshop on 3D-LLM/VLA

  2. PlanSightRAG teaser: text and low-resolution retrieval fail while patch-level visual retrieval succeeds
    Multimodal RAG · Civil engineeringSecond revision

    PlanSightRAG: A Visual-First Multimodal RAG for Automating Question Answering and Compliance Checking for Civil Standard Plans

    N. Subedi, S. D. Datta, A. Abdelaty, S. V. Sheshappanavar

    Automation in Construction

  3. Generative modeling · EEGUnder review

    MontageFlow: Physically Valid High-Fidelity EEG Generation

    S. Regmi, N. Subedi, A. Pillai, Y. Y. Wu, Y. Chen, M. V. Heinz, L. Marsch, N. C. Jacobson, A. Campbell

    arXiv preprint · 2026

Experience

Research & practice

Aug 2025 — Present

Graduate Research Assistant

Geometric Intelligence Research Lab · University of Wyoming

Developing multimodal RAG, 3D vision-language models, world models, and agentic AI for engineering applications.

Summer 2026

Research Collaborator

Dartmouth College

Contributed to MontageFlow, including EEG preprocessing, experiments, conditioning studies, physiological analysis, and manuscript writing.

Summer 2026

Summer Research Intern

University of Wyoming

Built a GPU-accelerated vision pipeline for traffic and parking analytics, including object tracking, occupancy detection, and speed estimation.

Apr — Aug 2024

Junior Machine Learning Engineer

PalmMind Technology · Nepal

Built production RAG chatbots for EV and insurance clients with LangChain, LangGraph, OCR, and Redis caching.

Education

2025 — 2027
(expected)

M.S. in Computer Science

University of Wyoming · GPA 4.00/4.00

2019 — 2024

B.E. in Electronics, Communication & Information Engineering

Institute of Engineering · Tribhuvan University, Nepal

Recent highlights

Graduate Scholar Award · School of Computing, University of Wyoming · $5,000 · 2026–2027

UW AI Summit, September 2026 · Lightning talk: “Teaching Models to Work in 3D: Perceiving, Predicting, and Generating 3D Infrastructure Geometry.”

Let’s connect

Ideas are better in collaboration.

I’m open to collaborations in multimodal AI and domain applications.

nsubedi1@uwyo.edu