# Entangle Research Lab

> A multidisciplinary research laboratory advancing AI, Computer Vision, Physical AI, IoT, Edge Intelligence, and next-generation computational technologies.

Entangle Research Lab is a multidisciplinary research laboratory dedicated to advancing the frontiers of Artificial Intelligence, Intelligent Systems, Computer Vision, Physical AI, IoT, and next-generation computational technologies. Our lab brings together researchers, students, and innovators to develop impactful, real-world solutions that bridge intelligent algorithms with practical systems.

Research areas:
- Artificial Intelligence, Machine Learning & Multimodal AI
- Computer Vision & Physical AI / Intelligent Robotics
- IoT, Smart Systems & Edge AI / Embedded Intelligence
- Quantum Machine Learning & Next-Generation Computing
- Human-Centered & Sustainable AI Applications

## Pages
- [Research](https://entangleresearach.com/research): Projects and research directions
- [Publications](https://entangleresearach.com/publications): Peer-reviewed papers
- [People](https://entangleresearach.com/people): Lab members
- [Blog](https://entangleresearach.com/blog): Articles and updates
- [News](https://entangleresearach.com/news): Announcements and awards
- [Opportunities](https://entangleresearach.com/opportunities): Open positions
- [Resources](https://entangleresearach.com/resources): Code, datasets and tools
- [Contact](https://entangleresearach.com/contact): How to reach the lab

## Publications
- [QuReBrain: Quantum Data Re-Uploaded VQC for MRI Brain Tumor Classification](https://entangleresearach.com/publications/qurebrain): JM Tamimur Rahman, Ratul Hasan Rabbi, Moniruzzaman. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2026.

## Projects
- QuReBrain: Quantum VQC for Brain Tumor Classification: Investigating parameterized quantum circuits and data re-uploading techniques for high-sensitivity medical imaging anomalies. Applying Variational Quantum Classifiers (VQC) to improve MRI brain tumor classification and detection performance.
- BDT-Collect: Dataset Collection Manager: A web-based dataset collection and management platform built for our BDT (Bangladeshi Taka) note research — streamlining the process of gathering, labeling, and organizing image datasets for computer vision model training.
- Edge AI & Connected Smart Systems: Designing highly efficient algorithms, custom edge computational runtime orchestration pipelines, and low-latency IoT frameworks to address physical deployment challenges in healthcare, precision agriculture, and autonomous industrial systems.

## People
- [Ratul Hasan Rabbi](https://entangleresearach.com/people/ratul-hasan): Lab Manager
- [JM Tamimur Rahman](https://entangleresearach.com/people/tamim): Researcher
- [Tanjim Hossain Ena](https://entangleresearach.com/people/ena): Researcher
- [Razu Sardar](https://entangleresearach.com/people/razu): Researcher
- [Mojammel Hossen](https://entangleresearach.com/people/mojammel): Researcher

## Recent posts
- [QuReBrain Published — Quantum VQC for Brain Tumor Classification at QPAIN 2026](https://entangleresearach.com/blog/qurebrain-published-qpain-2026): Our paper on a data re-uploaded Variational Quantum Classifier for MRI brain tumor classification was accepted and presented at IEEE QPAIN 2026.
- [Entangle Research Lab Officially Launched — Building the Future of Intelligent Systems](https://entangleresearach.com/blog/entangle-research-lab-launched): Entangle Research Lab opens its doors as a multidisciplinary lab for AI, computer vision, physical AI, IoT and next-generation computing.

## Contact
- Email: entangleresearch@gmail.com