Antonio Ferramosca

Antonio Ferramosca is a Full Professor at the University of Bergamo's Department of Management, Information, and Production Engineering. His expertise spans Model Predictive Control (MPC), Artificial Pancreas systems, distributed control, and epidemiological modeling. He holds a Ph.D. from the University of Seville, with postdoctoral research at CONICET (Argentina) and visiting positions at the University of Wisconsin-Madison and the University of Seville.

Education:

• Bachelor's and Master's in Computer Science Engineering (University of Pavia, 2004-2006)
• Ph.D. in Engineering (University of Seville, 2011)

Research focuses on MPC applications in biomedical systems, energy systems, and robotics. He has pioneered techniques for handling circadian variability in insulin sensitivity and optimizing social distancing in SIR epidemiological models. His work integrates AI and machine learning for predictive maintenance and material design.

Key awards include the Best Conference Paper Award at the 2022 IFAC CAO conference. Over 90 publications span journals like Automatica, IEEE Transactions, and conferences like ICUAS and LARS. He teaches advanced control courses, including Model Predictive Control fundamentals at the PhD level.

His research groups collaborate internationally, addressing challenges in microgrid energy management, obstacle-avoidance robotics, and personalized medical device design.