Skip to content
View Ayanzadeh93's full-sized avatar
:octocat:
Focusing
:octocat:
Focusing
45 followers · 36 following

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Highlights

Block or report Ayanzadeh93

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ayanzadeh93/README.md
Aydin Ayanzadeh — PhD, Computer Science, UMBC CORAL Lab

Assistive AI for blind and low-vision navigation · VLMs · LLM agents · RAG

Portfolio Google Scholar ORCID LinkedIn CV Profile views

Terminal-style profile card

🔬 Research Pipeline

Research pipeline: perception, representation, reasoning, guidance

Perception extracts rooms, doors, and objects from raw floor plans using VLMs and YOLO-based detectors. Representation turns that into a navigable spatial graph plus a retrieval store. Reasoning uses agentic RAG to plan routes and verify them against hallucination. The output is a natural-language route a blind or low-vision user can actually follow.

🚀 Active Projects

🗺️ Floorplan2Guide

LLM-guided floor plan parsing for indoor BLV navigation.

  • Venue: IEEE Big Data 2025 · arXiv:2512.12177
  • Follow-on: LLM-Guided Agentic Floor Plan Parsing — CVPR 2026
  • Stack: VLMs NetworkX LangChain
  • Decomposes floorplan understanding into agent sub-tasks (rooms, doors, adjacency) for grounded path queries.

💬 AidGPT

PhD thesis — conversational assistive agent for BLV users.

  • Related: On-Device Depth-Aware Multimodal Workload — IISWC 2026
  • Stack: PyTorch Multimodal LLMs Speech
  • Real-time multimodal dialogue grounded in physical environment context, characterized for on-device deployment.

🔭 InVLM / AgenticRAG

Parameter-efficient VLM adaptation + multi-agent RAG for navigation instructions.

  • Stack: PEFT Qwen2-VL LangGraph 🤗 Transformers
  • Specialist agents (planner, verifier, instructor) coordinate to suppress hallucination in safety-critical routing.
  • Project page: Indoor Navigation

🔥 WildfireVLM

AI-powered early wildfire analysis from satellite imagery.

🛠 Tech Stack

Tech stack icons

Transformers LangChain LangGraph CUDA Weights & Biases NetworkX YOLO

📄 Selected Publications

🗺️

LLM-Guided Agentic Floor Plan Parsing for Accessible Indoor Navigation of Blind and Low-Vision People A. Ayanzadeh, T. Oates, et al. — CVPR 2026 (accepted)

📱

Characterizing an On-Device Depth-Aware Multimodal Workload in Assistive Navigation for BLV Users A. Ayanzadeh, et al. — IISWC 2026 (accepted)

🛰️

WildfireVLM: AI-Powered Analysis for Early Wildfire Detection Using Satellite Imagery A. Ayanzadeh, et al. — IGARSS 2026 · arXiv:2602.13305

📊

Floorplan2Guide: LLM-Guided Floorplan Parsing for BLV Indoor Navigation A. Ayanzadeh, et al. — IEEE Big Data 2025 · arXiv:2512.12177

🧠

PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation A. Ayanzadeh, et al. — Expert Systems with Applications, vol. 213, 2023 · code

📚 Full list → Google Scholar · ORCID · Portfolio

📊 GitHub Analytics

GitHub stats Top languages

Contribution timeline

Contribution streak

GitHub trophies

📈 Contribution Activity Graph

Contribution calendar

🐍 Contribution Snake (animated · daily)

Contribution snake animation

Setup: see .github/workflows/snake.yml in this repo.

🤝 Collaboration

I'm open to:

  • 🔬 Research collaborations in assistive AI · multimodal LLMs · agentic systems · spatial reasoning
  • 🏢 Industry research internships (VLM, agents, accessibility)
  • 🎓 Mentoring students entering ML / CV research
  • 📝 Peer review for ML / CV / accessibility venues

📬 a.ayanzadeh@gmail.com  ·  📍 Baltimore, MD

"Building AI that sees, so others can navigate."

Pinned Loading

  1. Dog-Breeds-Identification Dog-Breeds-Identification Public

    In this playground competition, you are provided a strictly canine subset of ImageNet in order to practice fine-grained image categorization. How well you can tell your Norfolk Terriers from your N…

    Jupyter Notebook 11 1

  2. Udacity-Advance-Lane-detection-of-the-road Udacity-Advance-Lane-detection-of-the-road Public

    Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera…

    Python 56 19

  3. Antcolony-edgedetection Antcolony-edgedetection Public

    Edge detection by Ant Colony Optimization,

    MATLAB 3 2

  4. youtube-8m youtube-8m Public archive

    Forked from google/youtube-8m

    Starter code for working with the YouTube-8M dataset.

    Python 2

  5. bash_collection-for-ubuntu bash_collection-for-ubuntu Public archive

    This is the set-up script for Google Cloud.

    Shell

  6. LinkedGuard-Safeguarding-LinkedIn-Privacy-by-Identifying-Authentic-Companies LinkedGuard-Safeguarding-LinkedIn-Privacy-by-Identifying-Authentic-Companies Public

    Safeguarding LinkedIn privacy by identifying authentic companies

    TeX 2