Deep Learning for Industry 4.0

Short description of the research team

Thematic fields of interest/research areas: Deep Learning for Industry 4.0. The research team is experienced in several aspects of Deep Learning and of its application to Industry 4.0: Deep Neural Networks, Convolutional Neural Networks, Computer Vision, Object Recognition, Defect and Anomaly Detection, Image Classification, Predictive Maintenance, Industrial Internet of Things.

Manager/head of the team: Fabrizio Riguzzi

Team members: Evelina Lamma, Riccardo Zese

Research infrastructures:

HPC cluster access

Prerequisites of the trainee researcher:

Level of education: “Marie Curie Individual Fellowship” Action requirements

Research experience: The candidate should hold a Ph.D. or equivalent title in computer science or computer science engineering, and be enthusiast about research in applications of deep learning

Required working language: English 

Contacts: Fabrizio Riguzzi

 Topics:

• Computer science and informatics