PhD Candidate in Computer Vision at Florida Atlantic University | Research Assistant at ISCAAS LAB
I'm passionate about advancing machine learning and computer vision through research. My expertise spans video understanding, action recognition, and deep learning architectures. Currently exploring multi-modal learning and self-supervised approaches to solve real-world vision challenges.
🎓 Current Role: PhD Candidate | Research Focus: Video Analysis & Action Recognition
📍 Location: Boca Raton, FL, USA
💼 Status: Actively seeking full-time opportunities (on-site & remote)
Temporal Action Localization • Spatio-Temporal Recognition • Scene Understanding • Object Detection & Tracking
Knowledge Distillation • Multi-Modal Architectures • Self-Supervised Learning
| Area | Expertise Level |
|---|---|
| 🏆 Human Action Recognition (HAR) | ████████████████░░░░ 90% |
| 🎯 Temporal Action Localization (TAL) | ████████████████░░░░ 85% |
| 📹 Video Object Detection & Tracking | ██████████░░░░░░░░░░ 70% |
| 🤖 Knowledge Distillation | ████████░░░░░░░░░░░░ 60% |
| 🌐 Multi-Modal Learning | ███████░░░░░░░░░░░░░ 55% |
| Project | Description | Link |
|---|---|---|
| 💫 DVFL-Net | Lightweight Video Focal Modulation Network for Spatio-temporal Action Recognition |  |
| 🌫️ Light-DehazeNet | CNN for Single Image Dehazing • IEEE TIP 2021 • ⭐ 65 | |
| 📹 OD-VIRAT | Large-Scale Object Detection Benchmark for Surveillance | |
| 🔥 Fire Segmentation | Efficient Fire Detection for ITS • IEEE TITS 2022 | |
| 🧑🎓 Knowledge Distillation HAR | Response-Based Offline Distillation for 3D CNN | |
| 🛰️ Spacecraft DRL | Deep Reinforcement Learning for Orbit Transfer | |
Real-Time Visitor Counter
- Video Scene Understanding - Advanced scene comprehension in complex videos
- Video Analytics - Real-world video analysis applications
- Multi-Modal Architectures - Vision + language + audio fusion
- Efficient Deep Learning - Knowledge distillation & model compression
- Self-Supervised Video Learning - Reducing annotation dependencies
- Research collaborations
- Conference presentations
- Open-source contributions
- Technical discussions and peer review
Currently expanding expertise in:
- 🔄 Multi-Model Representation Learning
- 🤖 Self-Supervised Learning techniques
- 🌐 Vision-Language Models
- ⚡ Efficient neural architectures
Let's discuss research, collaborate on projects, or explore opportunities!
📧 Email: hullah2024@fau.edu | khanh9474@gmail.com
🔗 LinkedIn: Hayat Ullah
📝 Medium: @khanh9474