Research Areas
Artificial Intelligence
Foundational algorithms and methodologies in AI for autonomous decision-making.
Deep Learning
Advanced neural network architectures and learning techniques for complex data representations.
Computer Vision
Equipping machines with the capability to interpret, analyze, and extract insights from visual data.
Object Detection
State-of-the-art YOLO models and bespoke CNNs for real-time localization and classification.
Current Research Themes
Intelligent Video Surveillance
Real-time anomaly and weapon detection using optimized deep learning models.
Smart City & Industrial Automation
AI-driven meter reading and infrastructure monitoring solutions.
Healthcare AI
Automated diagnostics using CNNs for CT scans and medical imaging.
Research Objectives
- Enhance accuracy in complex vision environments
- Develop real-time inference optimization techniques
- Translate AI models into production software
"Bridging the gap between theoretical AI architectures and practical, deployable systems."