Ph.D. in Ingegneria Informatica E Dei Sistemi , 35th cycle (2019-2022)
Ph.D. obtained in 2023
Dissertation:
A management framework for smart manufacturing applications in Industry 4.0 (Abstract)
Tutors:
Massimo PoncinoTeaching
Teachings
Master of Science
- Machine learning in applications. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Bachelor of Science
- Tecniche di programmazione. A.A. 2020/21, INGEGNERIA INFORMATICA. Collaboratore del corso
- Tecniche di programmazione. A.A. 2021/22, INGEGNERIA INFORMATICA. Collaboratore del corso
- Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Cannizzaro, Davide (2023)
A management framework for smart manufacturing applications in Industry 4.0. relatore: PONCINO, MASSIMO; , 35. XXXV Ciclo, P.: 199
Doctoral Thesis - FONTANA CRESPO, RAFAEL NATALIO; Cannizzaro, Davide; Bottaccioli, Lorenzo; Macii, Enrico; ... (2023)
A Distributed Software Platform for Additive Manufacturing. In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2023), Sinaia, Romania, 12-15 September 2023. ISBN: 979-8-3503-3991-8
Contributo in Atti di Convegno (Proceeding) - Cannizzaro, Davide; Varrella, Antonio Giuseppe; Paradiso, Stefano; Sampieri, Roberta; ... (2022)
In-situ defect detection of metal Additive Manufacturing: an integrated framework. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol. 10, pp. 74-86. ISSN 2168-6750
Contributo su Rivista - Cannizzaro, Davide; Simone, Filomena; Illgner-Fehns, Klaus; Mata, Sara; Mondino, Ivan; ... (2022)
Quality inspection of critical aircraft engine components: towards full automation. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart (DE), 6th-9th September 2022
Contributo in Atti di Convegno (Proceeding) - Cannizzaro, Davide; Varrella, Antonio Giuseppe; Paradiso, Stefano; Sampieri, Roberta; ... (2021)
In-Situ Monitoring of Additive Manufacturing. In: Predictive Maintenance in Smart Factories / S.N., S.L., Springer, Singapore, pp. 207-228. ISBN: 978-981-16-2939-6
Contributo in Volume - Cannizzaro, Davide; Aliberti, Alessandro; Bottaccioli, Lorenzo; Macii, Enrico; ... (2021)
Solar radiation forecasting based on convolutional neural network and ensemble learning. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 181. ISSN 0957-4174
Contributo su Rivista - Cannizzaro, Davide; Giuseppe Varrella, Antonio; Paradiso, Stefano; Sampieri, Roberta; ... (2021)
Image analytics and machine learning for in-situ defects detection in Additive Manufacturing. In: 2021 Design, Automation and Test in Europe Conference and Exhibition (DATE 2021), Virtual Conference (due to Covid-19), 2021, pp. 603-608. ISSN 1530-1591. ISBN: 978-3-9819263-5-4
Contributo in Atti di Convegno (Proceeding) - Cannizzaro, Davide; Zafiri, Marina; Jahier Pagliari, Daniele; Patti, Edoardo; Macii, ... (2020)
A Comparison Analysis of BLE-Based Algorithms for Localization in Industrial Environments. In: ELECTRONICS, vol. 9. ISSN 2079-9292
Contributo su Rivista