معرفی
Alberto Greco, Ph.D., is a Research Fellow in Bioengineering at the Department of Information Engineering, Faculty of Engineering, University of Pisa, Italy. He obtained his Laurea (2010) and Ph.D. (2015) in Biomedical Engineering and Automatics/Bioengineering from the University of Pisa, with a Visiting Fellowship at the University of Essex (2014). His work integrates biomedical signal processing, machine learning, and physiological modeling with applications in wearable monitoring systems and eye-tracking.
- Education
- Biomedical Engineering, University of Pisa (2010)
- Ph.D. in Automatics, Robotics, and Bioengineering, University of Pisa (2015)
- Visiting Fellow, University of Essex, UK (2014)
His research focuses on autonomic nervous system assessment, central nervous system modeling, and affective computing, particularly through projects like cvxEDA—a convex optimization framework for electrodermal activity processing. He contributes to European research projects and develops smart wearable platforms for physiological data collection.
Key application areas include consciousness disorders, mood assessment, and human-robot interaction. His technical expertise spans Bayesian statistics, sparsity-based signal modeling, and multimodal physiological analysis.
He is affiliated with the Neuro-Cardiovascular Intelligence Lab and contributes to the TOLIFE project, ComEDA stress assessment tool, and ThermICA thermal response analysis system. His work bridges bioengineering, robotics, and social-emotional interaction domains.
