OUR RESEARCH TEAM

Sara Nocco is a research fellow at the Department of Informatics, Systems and Communication at the University of Milano-Bicocca. She took her master in Data Science at the University of Milano-Bicocca and her bachelor in Statistical Sciences  at the University of Bologna. Her research interests include electrophysiological signal processing and particularly electroencephalographic (EEG) signal analysis, driven by her strong passion for cognitive neuroscience.

DOMENICO GIORGIO SORRENTI (Member, IEEE) received the master’s degree in electronic engineering in 1981 and the Ph.D. degree in computer and control engineering from Politecnico di Milano in 1989 and 1992, respectively. In 1994, he was a Research Associate with King’s College London. Since 1995, he has been an Assistant Professor of computer science with Università di Milano. In 1999, he moved to the Università di Milano-Bicocca, where he started the Robotic Perception Laboratory and has been an Associate Professor of computer engineering, since 2005. He is a member of the Robotics and Automation Society and the Intelligent Transport Systems Society.

Ilaria Camposeo is a second-year resident physician in Physical and Rehabilitation Medicine at the University of Foggia. She takes part in the PREDICTOR project with an interest in neurorehabilitation research and contributes to the clinical and experimental activities of the trial at the Unit of Neurorehabilitation, Spinal Unit, Recovery and Functional Rehabilitation of Policlinico Riuniti in Foggia.

Dr. Salvatore Facciorusso is a specialist in Physical and Rehabilitation Medicine and Medical Director at the Azienda Ospedaliero-Universitaria Policlinico Riuniti of Foggia  where he contributes to the PREDICTOR project.

His clinical and research work focuses on the management of neurological and neuro-orthopedic disorders. Dr. Facciorusso holds a second-level Master in RehabTech, teaches at the University of Foggia in the Speech and Language Therapy (Logopedics) program, and contributes to the academic formation of future rehabilitation professionals. He has served as co-investigator in several national and international projects on neurorehabilitation and is the author of numerous peer-reviewed scientific publications, including systematic reviews, bibliometric analyses, and clinical studies addressing robotic rehabilitation, spasticity management, and sensor-based rehabilitation approaches.

Teo Murgo is a second-year resident physician in Physical and Rehabilitation Medicine at the University of Foggia. He participates in the PREDICTOR project with enthusiasm, seizing the opportunity to enhance his clinical and scientific expertise in neurorehabilitation at the Unit of Neurorehabilitation, Spinal Unit, Recovery and Functional Rehabilitation of Policlinico Riuniti in Foggia. 

Amelia Gioscia is a PhD candidate in Smart and Sustainable Industry at Politecnico di Bari. She received her Master’s degree in Automation Engineering and her Bachelor’s degree in Computer Science and Automation Engineering, both from Politecnico di Bari. Her research focuses on advanced control techniques for robotic devices for individuals with neurological disabilities and on the integration of technologies for telerehabilitation. 

Dott. Nadim El Hanafi

Nadim El Hanafi graduated with a Bachelor’s degree in Computer Science at the University of Milano-Bicocca in July 2025. His thesis project focused on monitoring and analyzing upper limb movements through inertial sensors, as part of the Predictor project, with the aim of supporting post-stroke rehabilitation. He is currently pursuing his Master’s degree in the same field at the University of Milano-Bicocca, where he plans to continue this line of research.

Giusi Sciancalepore received her Bachelor’s degree in Medical Systems Engineering in October 2023, presenting a thesis focused on the study of wireless sensor networks in medical applications. She is currently pursuing a Master’s degree in the same field at Politecnico di Bari.

Davide Leardi is a Master’s thesis researcher in Biostatistics at the Department of Statistics and Quantitative Methods of the University of Milano-Bicocca. He joins the project as a biostatistician, working on the analysis and integration of multimodal data for the development of predictive and interpretable models. His interests include applied statistics, biomedical data analysis, and quantitative methods to support clinical decision-making.