CV
Summary of my academic and professional career. The complete curriculum vitae, including the full list of publications, theses supervised and service, is available as a PDF (May 2026).
Contact Information
| Name | Marco Piangerelli |
| Professional Title | Adjunct Professor of Computer Science, University of Camerino · AI Engineer, Vici & C. S.p.A. |
| marco.piangerelli@gmail.com |
Professional Summary
Computer scientist and bioengineer working on machine learning, topological data analysis and complex systems, with a focus on trustworthy AI, concept and data drift and interpretable learning methods for healthcare and manufacturing. Ph.D. in Computer Science (University of Camerino, 2017). Full CV available as PDF.
Experience
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2025 - present Santarcangelo (RN)
AI Engineer, R&D Division
Vici & C. S.p.A.
Machine learning and computer vision for optical metrology of precision mechanical parts.
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2025 - present Italy
Scientific Director of the RIAB project
Bilancio CO2 Zero S.r.l.
AI and computer vision for tele-rehabilitation.
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2019 - present Camerino
Adjunct Professor (INF/01, Computer Science)
University of Camerino
Machine Learning courses for the M.Sc. in Computer Science and the Ph.D. programme in Computer Science and Mathematics; supervision of Ph.D., Master’s and Bachelor’s theses.
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2018 - present Camerino
Founding member
Knoway Systems S.r.l. (University of Camerino spin-off)
Customised software solutions for the digitisation of public administration and Industry 4.0 in SMEs, born from the e-government research group of the University of Camerino.
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2023 - 2025 Camerino
Research Fellow (INF/01, Computer Science)
University of Camerino, School of Science and Technology
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2024 - 2024 Addis Ababa
Visiting Researcher
Addis Ababa University, Addis Ababa Institute of Technology
Technology transfer on anomaly detection with unsupervised techniques; groundwork for a Memorandum of Understanding between the University of Camerino and Addis Ababa University.
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2017 - 2022 Camerino
Post-doctoral Researcher
University of Camerino, School of Science and Technology
- 2021–2022: Modelling and studying self-adaptive cyber-physical systems.
- 2018–2021: Algorithms for monitoring and predicting changes in the psycho-physical state of patients in rehabilitation for spinal injuries.
- 2017–2018: Algorithms and methods for the analysis of streaming and batch data for prediction, classification and clustering.
Education
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2013 - 2017 Camerino
Ph.D.
University of Camerino
Computer Science
- Thesis: A topological classifier for detecting the emergence of anomalous synchronization in brain activity (supervisor Prof. Emanuela Merelli).
- Collaboration with ab medica s.r.l. on an implantable device for detecting and controlling epileptic seizures.
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2009 - 2013 Bologna
Master of Engineering
Alma Mater Studiorum, University of Bologna
Bioengineering
- Thesis: The effects of hypocalcemia on spatial alternans and ventricular fibrillation studied with optical mapping technique (supervisor Prof. Stefano Severi, co-supervisor Prof. Flavio Fenton).
- Visiting Master student at Cornell University, Veterinary Medicine School (March–August 2012), supervisors Prof. Flavio Fenton and Prof. Robert Gilmour.
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2003 - 2009 Milan
Bachelor of Engineering
Politecnico di Milano
Biomedical Engineering
- Thesis: Definizione di un protocollo per lo studio della deformazione delle labbra (supervisor Prof. Maria Gabriella Signorini).
Projects
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2025 - 2028 RIAB (Bilancio CO2 Zero S.r.l.)
ML/DL models for tele-rehabilitation. Scientific coordinator.
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2025 - 2027 Unicam 4 ACME (ACME Lab S.r.l.)
ML/DL models for environmental monitoring that react and adapt to change. Member of the project board.
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2024 - 2027 Unicam 4 VICI, ML for Metrology (Vici & C. S.p.A.)
ML/DL models to improve the accuracy of dimensional measurements of precision mechanical parts. Member of the project board.
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2022 - 2025 AI.EM, Artificial Intelligence Evolutive Machine (Nuova Simonelli Group S.p.A., Sigma S.p.A.)
Adaptive AI for energy efficiency, waste reduction and human-machine interaction in smart manufacturing. Unicam research unit member.
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2022 - 2024 UNICAM 4 INGKA, Inventory Process Mining (IKEA IT Aktiebolag)
Process mining and machine learning for large-scale inventory management. Responsible for the ML research.
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2022 - 2024 Syeew (Eidos S.r.l.) and Chatbot (Filippetti S.p.A.)
Intelligent recommendation system for micro enterprises; NLP techniques for chatbots.
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2019 - 2022 MIRACLE (POR Marche FESR 2014/2020)
Laboratory of excellence for home automation and connected living environments. Unicam research unit member.
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2019 - 2022 SIMPLE, Smart Manufacturing Machine with Predictive Lifetime Electronic maintenance (SIGMA S.p.A., Schnell S.p.A.)
Predictive maintenance platform; unsupervised learning module.
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2017 - 2020 T.R.E.E., Tailored Rehabilitation for the Engagement and Empowerment of chronically disabled people (POR FESR Marche)
Platform for personalised rehabilitation; behavioural analysis module.
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2017 - 2019 Lignans (Unicam Doctoral Candidates Research Grant)
Data analysis and clustering of laboratory data on lignan mixtures. Coordinator of the Computer Science research unit.
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2016 - 2019 Da.Re., Data science pathways to re-imagine education (Erasmus+)
European Master’s curriculum in Data Science. Unicam research unit member.
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2014 - 2017 MATREND (Unicam FAR)
Materials and technologies for renewable energy in smart city districts. Computer Science research unit member.
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2012 - 2015 TOPDRIM, Topology Driven Methods for Complex Systems (FP7-ICT-2011-8)
Topological methods for the dynamics of multilevel complex systems. Unicam research unit member.