Gennaro Tartarisco, Ph.D. received his MSc in Biomedical Engineering and Ph.D. in Automatic, Robotic and Bioengineering from the University of Pisa (2013). He is currently a Ph.D. researcher at the Institute for Biomedical Research and Innovation (IRIB) of the National Research Council, Messina unit, head of the “sAInce Lab” group. His research focuses on integrating advanced signal processing, machine learning, and deep learning techniques to develop next-generation healthcare solutions. His work spans wearable health monitoring systems, telemedicine, and the analysis of physiological, cardiovascular, and environmental data to enhance medical diagnostics, rehabilitation strategies, and early disease detection. A key aspect of his research involves leveraging multimodal data such as vital signs, social context, and environmental factors to uncover biological insights and support personalized healthcare delivery.
Research Keywords & Expertise
Decision Support Syste...
EHealth applications
Data science and artif...
Wearable and non invas...
Physiological and beha...
Signal acquisition and...
Short Biography
Gennaro Tartarisco, Ph.D. received his MSc in Biomedical Engineering and Ph.D. in Automatic, Robotic and Bioengineering from the University of Pisa (2013). He is currently a Ph.D. researcher at the Institute for Biomedical Research and Innovation (IRIB) of the National Research Council, Messina unit, head of the “sAInce Lab” group. His research focuses on integrating advanced signal processing, machine learning, and deep learning techniques to develop next-generation healthcare solutions. His work spans wearable health monitoring systems, telemedicine, and the analysis of physiological, cardiovascular, and environmental data to enhance medical diagnostics, rehabilitation strategies, and early disease detection. A key aspect of his research involves leveraging multimodal data such as vital signs, social context, and environmental factors to uncover biological insights and support personalized healthcare delivery.