Panagiotis Kasnesis

Panagiotis Kasnesis is a Senior Research Fellow at the Department of Electrical & Electronics Engineering, University of West Attica. He holds a Ph.D. in Computer Science from NTUA, alongside degrees in Chemical Engineering and Techno-Economic Systems. His research focuses on machine/deep learning, Semantic Web technologies, multiagent systems, and IoT, with over 20 publications in top journals and conferences. He is an NVIDIA DLI-certified instructor in Natural Language Processing and Computer Vision.

• Education: Ph.D. (Computer Science, NTUA), Diploma in Chemical Engineering (NTUA), M.Sc. in Techno-Economic Systems (NTUA)

Research interests span health informatics, wearable devices, and sensor fusion, with projects in biomedical signal analysis and IoT applications. His work includes developing radar-based systems for health monitoring and AR/VR solutions for rehabilitation. He actively participates in EU-funded projects and promotes trustworthiness in social media through initiatives like EUNOMIA.

Recent publications emphasize health tech innovations, such as stress detection via PPG signals, UWB radar-based human detection, and multimodal fusion for 3D pose estimation. His contributions also address cultural heritage preservation through VR and crowdsourcing.

Grants and collaborations involve European R&D projects in IoT security, emergency response systems, and decentralized social media frameworks. He leads efforts in embodied AR for medical applications and energy-efficient neural networks.