Ruberti Alessandro

PHD CANDIDATE | 36th PHD CYCLE

Short Profile outline

Alessandro is an Executive PhD student at the Department of Management, Economics, and Industrial Engineering. His primary focus is the predictive maintenance of industrial assets and related management. The core of his research is tocreate and enable a value proposition where Internet of Things, micro-services and Artificial Intelligence are the foundamentals of new digital services.

Master of Science: Management Engineering (Stream: Industrial Management), Politecnico di Milano.

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Research

Research interests: AI, Machine Learning, PRedictive Maintenance, IoT

Research projects: Predictive Maintenance: how to deplay AI packages via micro-services

Supervisor: Prof. Marco Macchi

Accreditations, Rankings & Memberships

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