Head
VANDAL Laboratory
Coordinator
National PhD on AI for Industry 4.0
Barbara Caputo is Full Professor at Politecnico of Torino, where she leads the VANDAL Laboratory, acts as Rector’s Advisor on Artificial Intelligence and directs the Hub AI@PoliTo, the Interdepartmental Laboratory of Excellence on AI, Learning and Intelligent Systems of Politecnico di Torino.
Since 2017 she has a double affiliation with the Italian Institute of Technology (IIT). She received her PhD in computer science from KTH, Stockholm in 2005. From 2007 to 2013 she was Senior Researcher at Idiap-EPFL; she then moved to Sapienza Rome University as MIUR Associate Professor (Chiamata Diretta), and joined Politecnico di Torino in 2018.
Since 2017 she has been regularly contributing to National AI policy documents: she is one of the 30 experts of the AgID task force on Artificial Intelligence, and one of the 30 MISE experts who wrote the Italian Strategy on AI. Since 2018 she has been part of the steering committee that has been designing and implementing the Italian National PhD on Artificial Intelligence, acting as coordinator of the vertical dedicated to AI & Industry 4.0, promoted by MUR and CNR.
She is an ERC Laureate and an ELLIS Fellow; since 2019 she serves on the ELLIS board and she is one of the eight co-founders of the ELLIS society. She is a member of the Steering Committee and of the Industrial Advisory Board of the ICT48 project ELISE and regularly participates to EC Policy events on AI. Since 2021 she is part of the Scientific Committee of Egea Bocconi University Press.
Since 2016 she is one of the 100 esperte for Italy and in 2018 she has been nominated one of the Inspiring Fifty Italy. In 2020 she appeared on Topolino magazine with her alter-ego Barb Quackut.
PUBLICATIONS
Please visit my Google Scholar page.
PROJECTS
- ERC RoboExNovo (Horizon2020): Robots learning about objects from externalized knowledge sources (2015-2020)
- MeganePro (Swiss National Science Foundation): Myo-Electricity, Gaze and Articial-intelligence for Neurocognitive Examination & Prosthetics (2016-2019)
A.Y. 2022/2023
MACHINE LEARNING AND DEEP LEARNING [01TXFSM][01TXFNG]
Master’s Degree in Mathematical Engineering, Master’s Degree in Data Science and Engineering – Politecnico di Torino
A.Y. 2021/2022
MACHINE LEARNING AND DEEP LEARNING [01TXFSM][01TXFNG]
Master’s Degree in Mathematical Engineering, Master’s Degree in Data Science and Engineering – Politecnico di Torino
A.Y. 2020/2021
Machine Learning and Deep Learning [01TXFSM][01TXFNG]
Master’s Degree in Mathematical Engineering, Master’s Degree in Data Science and Engineering – Politecnico di Torino