Giulia Bruno

Giulia Bruno received a M.Sc. degree in Computer Engineering and a Ph.D. in Computer and System Engineering from Politecnico di Torino. She is currently Professor of Manufacturing Technologies and Systems in the Department of Management and Production Engineering of Politecnico di Torino. Her research activity is mainly focused on lean production, process modeling, machine learning and simulation of production systems.

Publications

Cyber-Physical System Framework for Efficient Management of Indoor Farming Production
Cyber-Physical System Framework for Efficient Management of Indoor Farming Production
Ahmed Mubarak Mekki Awouda, Benedetta Fasciolo, Giulia Bruno, Valentino Razza. © 2023. 21 pages.
World population is expected to reach 9.7 billion by 2050. Thus, a significant increase in agricultural production is required to accommodate population growth. However...
Building a Factory Knowledge Base: Digitalization and Integration of Manufacturing Information
Building a Factory Knowledge Base: Digitalization and Integration of Manufacturing Information
Giulia Bruno, Emiliano Traini, Alberto Faveto, Franco Lombardi. © 2021. 26 pages.
In past decades, production has been characterized by the mass customization trend. This concept reaches its extreme with the one-of-a-kind production (OKP): every product is...
A Virtual Supply Chain Architecture to Grant Product Transparency in Agribusiness
A Virtual Supply Chain Architecture to Grant Product Transparency in Agribusiness
Giulia Bruno. © 2020. 19 pages.
Especially in the food sector, fraud and counterfeiting are affecting the trust of consumers, who are more and more oriented to chose products basing on quality and traceability...
Identification of Potential Clients, Providers, and Competitors in Supply Chain Networks
Identification of Potential Clients, Providers, and Competitors in Supply Chain Networks
Giulia Bruno. © 2020. 18 pages.
In the last years Small and Medium-Sized Enterprises (SMEs) were driven to aggregate in industrial networks, due to the need to compete in a globalized market, but also to the...
Identification of Potential Clients, Providers, and Competitors in Supply Chain Networks
Identification of Potential Clients, Providers, and Competitors in Supply Chain Networks
Giulia Bruno. © 2017. 18 pages.
In the last years Small and Medium-Sized Enterprises (SMEs) were driven to aggregate in industrial networks, due to the need to compete in a globalized market, but also to the...
Product Knowledge Management in Small Manufacturing Enterprises
Product Knowledge Management in Small Manufacturing Enterprises
Giulia Bruno. © 2017. 23 pages.
An important issue present in the most of manufacturing systems, and become worse in SMEs, is the systematic management of the huge amount of unstructured information generated...
A Virtual Supply Chain Architecture to Grant Product Transparency in Agribusiness
A Virtual Supply Chain Architecture to Grant Product Transparency in Agribusiness
Giulia Bruno. © 2017. 19 pages.
Especially in the food sector, fraud and counterfeiting are affecting the trust of consumers, who are more and more oriented to chose products basing on quality and traceability...
Information Extraction from Microarray Data: A Survey of Data Mining Techniques
Information Extraction from Microarray Data: A Survey of Data Mining Techniques
Alessandro Fiori, Alberto Grand, Giulia Bruno, Francesco Gavino Brundu, Domenico Schioppa, Andrea Bertotti. © 2016. 32 pages.
Nowadays, a huge amount of high throughput molecular data are available for analysis and provide novel and useful insights into complex biological systems, through the...
Extraction of Medical Pathways from Electronic Patient Records
Extraction of Medical Pathways from Electronic Patient Records
Dario Antonelli, Elena Baralis, Giulia Bruno, Silvia Chiusano, Naeem A. Mahoto, Caterina Petrigni. © 2013. 15 pages.
With the introduction of electronic medical records, a large amount of patients’ medical data has been available. An actual problem in this domain is to perform reverse...
Semi-Automatic Knowledge Extraction to Enrich Open Linked Data
Semi-Automatic Knowledge Extraction to Enrich Open Linked Data
Elena Baralis, Giulia Bruno, Tania Cerquitelli, Silvia Chiusano, Alessandro Fiori, Alberto Grand. © 2013. 25 pages.
In this chapter we present the analysis of the Wikipedia collection by means of the ELiDa framework with the aim of enriching linked data. ELiDa is based on association rule...
Extraction of Medical Pathways from Electronic Patient Records
Extraction of Medical Pathways from Electronic Patient Records
Dario Antonelli, Elena Baralis, Giulia Bruno, Silvia Chiusano, Naeem A. Mahoto, Caterina Petrigni. © 2012. 17 pages.
With the introduction of electronic medical records, a large amount of patients’ medical data has been available. An actual problem in this domain is to perform reverse...
Microarray Data Mining: Issues and Prospects
Microarray Data Mining: Issues and Prospects
Giulia Bruno, Alessandro Fiori. © 2011. 25 pages.
Microarray technology is a powerful tool to analyze thousands of gene expression values with a single experiment. Due to the huge amount of data, most of recent studies are...
Ubiquitous Risk Analysis of Physiological Data
Ubiquitous Risk Analysis of Physiological Data
Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli. © 2010. 14 pages.
Current advances in sensing devices and wireless technologies are providing a high opportunity for improving care quality and reducing the medical costs. This chapter presents...