Short Bio

Marco Piangerelli is currently Assistant Professor (INF/01 – Computer Science) at Unicam (Italy)  AI Engineer at Vici & C. S.p.A.

Born in Battipaglia (SA), Italy, in 1984, Marco holds a B.Sc. in Bioengineering from the Politecnico di Milano and an M.Sc. in Bioengineering from the University of Bologna, where he worked on mathematical modeling of cardiac arrhythmias in collaboration with Cornell University under the supervision of Prof. Flavio Fenton.

He earned a Ph.D. in Computer Science at the University of Camerino under the supervision of Prof.ssa Emanuela Merelli, focusing on topological data analysis for the study of epileptic seizures, in collaboration with ab medica s.r.l.

His research lies at the intersection of machine learning, topological data analysis, and complex systems modeling, with particular attention to trustworthy AI, concept\data drift, and interpretable learning methods. He has contributed to European and industrial R&D projects including TOPDRIM, Da.Re., AI.EM, UNICAM 4 INGKA, Unicam 4 VICI, and the SIMPLE project.

Marco is a member of the Processes and Services (PROS) Lab and the Bioshape and Data Science Lab, and an external member of the Center for Philosophy Science and Policy at Università Politecnica delle Marche (UNIVPM). He serves on the editorial boards of PeerJ Computer Science, Applied Computational Intelligence and Soft Computing (Wiley), and Frontiers in Smart Manufacturing, and reviews for journals such as IEEE Transactions on Knowledge and Data Engineering, Entropy, and Neurocomputing.

He teaches Machine Learning courses at both the Master’s Degree and Ph.D. programs in Computer Science at the University of Camerino.

Machine Learning Topological Data Analysis Complex Systems Trustworthy AI Concept Drift Interpretability Healthcare Manufacturing