Sara Montagna

Sara Montagna is a Senior Lecturer at the University of Urbino Carlo Bo. She is working in between biology and computer science (BIO-ICT convergence) studying the application of techniques devised in computer science – such as agent-based modeling and simulation, Boolean Networks, Cognitive Computing algorithms – to analyzing and engineer complex bio/healthcare scenarios. She got her M.S. degree in biomedical engineering in January 2007 (110/110 cum Laude) and her Ph.D. degree in Computer Science in April 2011.


Michael Ignaz Schumacher

Michael Ignaz Schumacher Prof. Michael Ignaz Schumacher has been a full Professor in the Institute of Business Information Systems at the University of Applied Sciences Western Switzerland (HES-SO) since 2007. He has worked in project management in an international Swiss foundation committed in social investment. He holds a PhD and a MsC in computer science from the University of Fribourg in Switzerland. Schumacher’s research focuses on distributed information systems and artificial intelligence applied to healthcare.


Stefano Mariani


Stefano Mariani is a PhD in Computer Science and Engineering, working as post-doc researcher and adjunct professor at the University of Modena and Reggio Emilia. His main research interests are agents and multi-agents systems, coordination models and technologies, and machine learning, all applied to pervasive computing and decision support in healthcare. He joined A2HC organising committee in 2019, after a 3 years experience in the successful CONNECARE EU project.


Gaetano Manzo

Gaetano Manzo is an Applied Machine Learning Researcher at University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis). His main research interests are machine learning systems for personalized behavior changes, AI-based persuasive technologies, and cancer patients cohort and trajectories analysis . He is currently working on Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies PERSIST EU project.