Constantino Álvarez Casado
PhD
Postdoctoral Researcher
Artificial Intelligence, Computer Vision, and Human-Centred Computing
Center for Machine Vision and Signal Analysis (CMVS)
Faculty of Information Technology and Electrical Engineering
I am a Postdoctoral Researcher in Computer Science at the Center for Machine Vision and Signal Analysis (CMVS) at the University of Oulu. My research focuses on multimodal human sensing, combining video, radar, Wi-Fi, audio, and physiological signals to model human physiological, cognitive, and behavioural states in healthcare, education, and human–machine interaction. I work at the intersection of computer vision, signal processing, and hybrid intelligence, developing interpretable and privacy-aware AI models that operate from edge devices to cloud infrastructures.
My interest in human understanding is shaped not only by engineering but also by long experience in music, composition, and visual arts. I have always been fascinated by how emotions surface in subtle facial motions, morphology, and behaviour, and how machines might one day perceive and respond to these patterns. Films such as Blade Runner and The Matrix, alongside the writings of Asimov, sparked my early curiosity in the future of human–machine interaction and continue to influence my research vision.
Alongside my academic work, I serve as a Biometrics Research Scientist at Candour Identity Ltd, developing standards-compliant, privacy-preserving biometric systems. I also bring extensive industry experience from Visidon Oy and GRADIANT (Spain) in real-time computer vision and machine learning for large-scale commercial and embedded applications. I have contributed to the writing and technical design of more than five EU research proposals and have participated as a technical developer in several funded EU projects in both academia and industry.
Research interests
- Multimodal human sensing using contactless sensors (video, audio, radar, Wi-Fi) and contact-based sensors (physiological signals, PPG, EDA, ECG, temperature)
- Computer vision for face analysis, detection, recognition, tracking, and 3D/2D pose estimation
- Sensory-to-semantics modelling and interpretable AI
- Human understanding through multimodal sensing and AI
- Vision-based activity recognition, motion analysis, and multimodal behaviour modelling
- Trustworthy biometric systems, including passive liveness detection and multimodal face verification
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