Habib Ur Rehman

Driven Data Scientist | Aspiring Data Analyst | Innovative AI/ML Researcher

Transforming complex data into actionable insights through cutting-edge AI solutions. Passionate about revolutionizing healthcare through medical imaging and advancing the frontiers of artificial intelligence.

Explore My Work

About Me

Pioneering the Future of AI-Driven Healthcare

I'm a data scientist and AI researcher dedicated to pushing the boundaries of artificial intelligence. My work focuses on solving complex problems through innovative technology solutions that make a real-world impact.

Academic Background

Bachelor of Science in Data Science/Analytics - Government College University Faisalabad (2021-2025)

Centre of Data Science | Registration No: 2021-GCUF-03490

With expertise in deep learning, medical image processing, and federated learning, I develop cutting-edge solutions for medical diagnosis, deepfake detection, and secure AI systems that contribute to early disease detection and improved clinical decision-making.

AI & Machine Learning

Deep Learning TensorFlow PyTorch Vision Transformers Perceiver IO Neural Networks GANs Reinforcement Learning

Medical AI

Medical Imaging MRI/X-ray/CT DICOM Processing Disease Classification Diagnostic AI Healthcare Analytics Biomedical Signal Processing

Data Science

Python R SQL Statistical Modeling Data Visualization Big Data Pandas NumPy Scikit-learn Tableau Power BI

Security & Privacy

Federated Learning Differential Privacy Blockchain Deepfake Detection Cybersecurity Secure ML Privacy-Preserving AI

Programming & Development

Python R SQL Java C++ JavaScript HTML/CSS Git Docker AWS Azure

Emerging Technologies

Large Language Models Generative AI Computer Vision NLP Edge AI IoT Quantum Computing AR/VR

Featured Projects

AI Medical Imaging Framework

Hybrid ViT+Perceiver IO model achieving 99.5% accuracy across six diseases including Stroke, Alzheimer's, and Pneumonia using 30,000+ multi-modal images.

Vision Transformers Perceiver IO Medical Imaging Deep Learning

Multimodal Deepfake Detection

Novel Fourier-based framework for audio-visual deepfake detection achieving 92.85% SOTA accuracy with strong cross-dataset generalization capabilities.

Fourier Analysis Multimodal AI Computer Vision Audio Processing

Federated Learning Security

GAN-blockchain-privacy framework achieving 95%/98% accuracy/detection rates, revolutionizing federated learning security for healthcare and finance sectors.

Federated Learning Blockchain GANs Privacy

Forensic Report Generation

Advanced framework integrating Large Vision Language Models with deepfake detection for automated forensic report generation with 0.95 AUC score.

LLMs Computer Vision NLP Forensics