Predictive Maintenance in Smart Factories

1. Industrial digitisation and maintenance: Present and Future.- 2. A hybrid cloud-to-edge predictive maintenance platform.- 3. Data-driven predictive maintenance: a methodology primer.- 4. Services to facilitate predictive maintenance in Industry4.0.- 5. Predictive analytics in robotic industry.

Tania Cerquitelli has been Associate Professor at the Department of Control and Computer Engineering of the Politecnico di Torino, Italy, since March 2018. Her research activities have been mainly devoted to fostering and sharing research and innovation on automated data science and machine learning solutions,  explainable artificial intelligence strategies, and interpretable predictive and descriptive modeling techniques. Tania has designed and developed novel, scalable and general-purpose algorithms to extract new forms of knowledge patterns in different industrial settings, from robotics industry to energy-related applications. She has been serving on the program committee of some major international conferences (e.g., KDD since 2018; ECML-PKDD since 2017, ICDM since 2020) on data mining and machine learning research area. Tania is a co-editor of a Springer book titled "Transparent Data Mining for Big and Small Data" with Dr Daniele Quercia and Prof. Frank Pasquale. Tania has published more than 100 scientific publications and has served as referee for many international journals. Tania has been a member of the editorial board of the Future Generation Computer Systems journal (Elsevier) and the Computer Networks journal (Elsevier) since March 2020, and a member of the editorial board of the Knowledge and Information Systems journal (Springer) since November 2020. Tania has been involved in many European and Italian research projects addressing different research issues related to machine learning and data analytics. Tania has been Professor of courses in Introduction to Databases and Business Intelligence for Big Data courses at the Politecnico di Torino since 2011. She got the master's degree with honours in Computer Engineering (in 2003) from both Politecnico di Torino, Italy, and the Universidad De Las Américas Puebla, Mexico, and the Ph.D. degree (in 2007) from the Politecnico di Torino, Italy.

Nikolaos Nikolakis has been working as a Research