I am a PhD Researcher in AI at the University of Southampton, part of the UKRI MINDS CDT (Centre for Doctoral Training). My research explores human pose estimation using radar sensing—developing models that can understand human movement in challenging conditions where traditional vision systems fall short.
My work focuses on building robust AI systems for human motion understanding in low-light, occluded, and privacy-sensitive environments. I'm particularly interested in:
- Radar-based Human Pose Estimation - Leveraging mmWave radar for privacy-preserving motion capture
- Multi-modal Sensor Fusion - Combining radar, vision, and other sensors for robust perception
- Deep Learning for Motion Understanding - Developing neural architectures for temporal movement analysis
- Real-world Assistive Applications - Translating research into practical solutions
I'm actively seeking:
- Research collaborations on human motion analysis
- Dataset exchanges for multi-modal sensing
- Industry partnerships for real-world applications
- Discussions on radar sensing and pose estimation challenges
Languages & Frameworks:
- Python, PyTorch, TensorFlow
- MATLAB, C++
- OpenCV, scikit-learn
Specializations:
- Radar Signal Processing
- Computer Vision & Deep Learning
- Time-Series Analysis
- Sensor Fusion Algorithms
When I'm not training models or analyzing radar data, you'll find me:
- 🎮 Gaming - Always up for a good strategy or RPG game
- 🎤 Singing - Music is my creative outlet
I'm always happy to discuss research ideas, potential collaborations, or just chat about AI and radar sensing!
📧 Email: [email protected]
💼 LinkedIn: keniel-peart
🏫 Affiliation: University of Southampton | UKRI MINDS CDT
"Building AI that sees through walls, respects privacy, and understands human movement" 🚀