معرفی
Dr. Kevin Hernandez Diaz is a Postdoctoral Researcher at Halmstad University's School of Information Technology, specializing in computer vision and biometrics. His work bridges theoretical advances in deep learning with practical applications in security, industrial safety, and healthcare.
His primary research interests include:
- Ocular and periocular biometrics for unconstrained environments
- Deep learning model optimization for edge/mobile deployment
- Computer vision solutions for industrial safety (PPE/fire detection)
- Explainable AI for biometric verification systems
- Cross-spectral recognition and synthetic data generation
Analysis of his 15 most recent publications (2020-2024) reveals consistent innovation in making biometric systems robust for real-world deployment. His work shows strong emphasis on practical constraints like computational efficiency, pandemic adaptations, and industrial environmental challenges, with increasing focus on explainability and privacy preservation.
His scientific contributions include:
- Novel architectures for lightweight face recognition (SqueezerFaceNet)
- Explainable verification frameworks for biometric systems
- Industrial safety applications using YOLOv4
- Thermal-based healthcare monitoring solutions
- Cross-spectral periocular recognition techniques
Dr. Hernandez Diaz maintains active research collaboration within Halmstad University's computer vision community and participates in industry-focused projects addressing real-world computer vision challenges. His doctoral work established new benchmarks for ocular recognition in unconstrained settings, and his current research continues to push boundaries in efficient and robust biometric systems.
