Settori ERC

SDG

• Collegio di Ingegneria Elettrica. Componente invitato
• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica (ETF). Componente invitato

Corso di laurea magistrale

• Electronic systems engineering. A.A. 2017/18, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Electronic systems engineering. A.A. 2018/19, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Electronic systems engineering. A.A. 2019/20, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Electronic systems engineering. A.A. 2020/21, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Electronic systems engineering. A.A. 2021/22, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Electronic systems engineering. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Challenge@PoliTo by Students - Artificial Intelligence: Shape the future. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Corso di laurea di 1° livello

• Fondamenti di elettronica di potenza. A.A. 2018/19, INGEGNERIA ELETTRICA. Collaboratore del corso
• Fondamenti di elettronica di potenza. A.A. 2019/20, INGEGNERIA ELETTRICA. Collaboratore del corso
• Fondamenti di elettronica di potenza. A.A. 2021/22, INGEGNERIA ELETTRICA. Collaboratore del corso
• Fondamenti di elettronica di potenza. A.A. 2022/23, INGEGNERIA ELETTRICA. Collaboratore del corso
• Circuiti elettronici. A.A. 2022/23, INGEGNERIA ELETTRONICA. Collaboratore del corso

Oct 2020 – Feb 2021 Assistant professor for the course “Electronic systems engineering” at Politecnico di Torino
Sep 2020 – Jan 2021 Innovation mentor for CLIK Challenge@PoliTo, A.I. - Shape the future
Sep 2020 Prototyping mentor at Inventor bootcamp of SEI (Turin, Italy) https://sei.it/scuola/inventor/" target="new">https://sei.it/scuola/inventor/
Oct 2019 – Feb 2020 Assistant professor for the course “Electronic systems engineering” at Politecnico di Torino
Oct 2019 – Feb 2020 Assistant professor for the course “Fondamenti di elettronica di potenza” at Politecnico di Torino
Sep 2019 Trainer at Inventor bootcamp of SEI (Turin, Italy) https://sei.it/scuola/inventor/" target="new">https://sei.it/scuola/inventor/
Jun 2019 Trainer at Italian Tech Weekend Innovation bootcamp - https://itwend.org/" target="new">https://itwend.org/
Feb 2019 Trainer at Inventor bootcamp of SEI (Turin, Italy) https://sei.it/scuola/inventor/" target="new">https://sei.it/scuola/inventor/
Sep 2018 Trainer at Inventor bootcamp of SEI (Turin, Italy) https://sei.it/scuola/inventor/" target="new">https://sei.it/scuola/inventor/
Nov 2018 – Jun 2019 Trainer at Innovation for Change program of Politecnico di Torino and CDI Italia (Turin, Italy) - http://dottorato.polito.it/it/innovation" target="new">http://dottorato.polito.it/it/innovationforchange
Oct 2018 – Feb 2019 Assistant professor for the course “Electronic systems engineering” at Politecnico di Torino
Oct 2018 – Feb 2019 Teacher Assistant for the course “Fondamenti di elettronica di potenza” at Politecnico di Torino
Feb 2018 Trainer at Inventor bootcamp of SEI (Turin, Italy) https://sei.it/scuola/inventor/" target="new">https://sei.it/scuola/inventor/
Nov 2017 – Jun 2018 Trainer at Innovation for Change program of Politecnico di Torino and SAFM (Turin, Italy) - http://dottorato.polito.it/it/innovation" target="new">http://dottorato.polito.it/it/innovationforchange

• Advanced machine learning for factory optimization
• Risk stratification in Brugada syndrome through AI-enhanced electrocardiograms
• Machine learning enhanced analysis of ECG data
• Battery ageing estimation with artificial intelligence
• PulsEcg - cuffless arterial blood pressure measurement device
• Mini green ultralight expendable radio sonde

• Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrinicone, M. (2022)
  Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network. In: 2022 25th International Conference on Electrical Machines and Systems (ICEMS), Chiang Mai, Thailand, 29 November 2022 - 02 December 2022, pp. 1-5. ISBN: 978-1-6654-9302-4
  Contributo in Atti di Convegno (Proceeding)
• Randazzo, V.; Puleo, E.; Paviglianiti, A.; Vallan, A.; Pasero, E. (2022)
  Development and Validation of an Algorithm for the Digitization of ECG Paper Images. In: SENSORS, vol. 22, pp. 1-15. ISSN 1424-8220
  Contributo su Rivista
• Alfieri, F.; Ancona, A.; Tripepi, G.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; ... (2022)
  External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients. In: JN. JOURNAL OF NEPHROLOGY. ISSN 1121-8428
  Contributo su Rivista
• Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G. (2022)
  A survey on data integration for multi-omics sample clustering. In: NEUROCOMPUTING, vol. 488, pp. 494-508. ISSN 0925-2312
  Contributo su Rivista
• Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, ... (2021)
  Topological Gradient-based Competitive Learning. In: 2021 International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, 18-22 July 2021, pp. 1-8. ISSN 2161-4407. ISBN: 978-1-6654-3900-8
  Contributo in Atti di Convegno (Proceeding)
• Randazzo, V.; Ferretti, J.; Pasero, E. (2021)
  Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device. In: SENSORS, vol. 21. ISSN 1424-8220
  Contributo su Rivista
• Paviglianiti, A.; Randazzo, V.; Villata, S.; Cirrincione, G.; Pasero, E. (2021)
  A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction. In: COGNITIVE COMPUTATION. ISSN 1866-9956
  Contributo su Rivista
• Alfieri, Francesca; Ancona, Andrea; Tripepi, Giovanni; Crosetto, Dario; Randazzo, ... (2021)
  A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients. In: JN. JOURNAL OF NEPHROLOGY. ISSN 1121-8428
  Contributo su Rivista
• Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.; Tortella, A.; ... (2021)
  Induction Machine Stator Fault Tracking using the Growing Curvilinear Component Analysis. In: IEEE ACCESS, vol. 9, pp. 2201-2212. ISSN 2169-3536
  Contributo su Rivista
• Randazzo, V.; Cirrincione, G.; Pasero, E. (2021)
  A new unsupervised neural approach to stationary and non-stationary data. In: Advances in Data Science: Methodologies and Applications / Phillips-Wren G., Esposito A., Jain L.C., S.L., Springer, pp. 125-145. ISBN: 978-3-030-51869-1
  Contributo in Volume
• Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, ... (2020)
  Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network. In: 16th International Conference on Intelligent Computing, ICIC 2020, Bari (ita), Ottobre 2020, pp. 172-182. ISSN 1611-3349. ISBN: 978-3-030-60798-2
  Contributo in Atti di Convegno (Proceeding)
• Paviglianiti, A.; Randazzo, V.; Pasero, E.; Vallan, A. (2020)
  Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG. In: 2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020, hrv, 2020, pp. 1-5. ISBN: 978-1-7281-4460-3
  Contributo in Atti di Convegno (Proceeding)
• Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E. (2020)
  Double Channel Neural Non Invasive Blood Pressure Prediction. In: 16th International Conference on Intelligent Computing, ICIC 2020, ita, 2020, pp. 160-171. ISBN: 978-3-030-60798-2
  Contributo in Atti di Convegno (Proceeding)
• Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E. (2020)
  Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study. In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, gbr, 2020, pp. 1-7. ISBN: 978-1-7281-6926-2
  Contributo in Atti di Convegno (Proceeding)
• Randazzo, V.; Cirrincione, G.; Pasero, E. (2020)
  Shallow Neural Network for Biometrics from the ECG-WATCH. In: 16th International Conference on Intelligent Computing, ICIC 2020, ita, 2020, pp. 259-269. ISBN: 978-3-030-60798-2
  Contributo in Atti di Convegno (Proceeding)
• Randazzo, Vincenzo (2020)
  Novel neural approaches to data topology analysis and telemedicine. relatore: PASERO, EROS GIAN ALESSANDRO; CIRRINCIONE, GIANSALVO; , 32. XXXII Ciclo, P.: 218
  Doctoral Thesis
• Paviglianiti, Annunziata; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ... (2020)
  Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, United Kingdom, 19-24 July 2020, pp. 1-7. ISBN: 978-1-7281-6926-2
  Contributo in Atti di Convegno (Proceeding)
• Cino, Marco; Zaretskaya, Maryia; Pirrone, Vito; Tiberino, Maria Sole; Cornetto, Stefano; ... (2018)
  Metodo di processo digitale di un segnale audio e relativo sistema per uso in un impianto produttivo con macchinari. N. brevetto: 102018000002927, propr. brevetto: Politecnico di Torino
  Brevetti
• Pirrone, Vito; Tiberino, Maria Sole; Randazzo, Vincenzo; Ahmadi, Mehrnoosh; Zaretskaya, ... (2017)
  Audio signal digital processing method and system thereof. N. brevetto: 102017000073663, propr. brevetto: 4 - Soggetti terzi
  Brevetti
• Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO (2017)
  Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data. In: Multidisciplinary Approaches to Neural Computing / Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero, E., S.L., Springer International Publishing, pp. 151-160. ISBN: 978-3-319-56904-8
  Contributo in Volume

• MINI GREEN ULTRALIGHT EXPENDABLE RADIO SONDE FOR MICRO-PHYSICAL REMOTE SENSING IN WARM CLOUDS AND THE LOW ATMOSPHERE. Brevetto nazionale
• SoundBubble for blue collars. Brevetto nazionale e internazionale
• Sound Bubble. Brevetto nazionale e internazionale