ERC sectors

SDG

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

Master of Science

• 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
• Electronic systems engineering. A.A. 2023/24, 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

Bachelor of Science

• 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
• Fondamenti di elettronica di potenza. A.A. 2023/24, INGEGNERIA ELETTRICA. Collaboratore del corso
• Circuiti elettronici. A.A. 2022/23, INGEGNERIA ELETTRONICA. Collaboratore del corso
• Circuiti elettronici. A.A. 2023/24, 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

• Federico Delrio. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 38, 2022-in progress)
  Research subject: Machine Learning Enhanced Analysis of ECG and Clinical Data
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Biomedical devices and applications
  Big Data, Machine Learning, Neural Networks and Data Science
  Biomedical devices and applications

• Ghione, Giorgia; Randazzo, Vincenzo; Recchia, Alessandra; Pasero, Eros; Badami, Marco (2023)
  Comparison of Genetic and Reinforcement Learning Algorithms for Energy Cogeneration Optimization. In: 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech), Split/Bol (Croatia), 20-23 June 2023, pp. 1-7. ISBN: 978-953-290-128-3
  Contributo in Atti di Convegno (Proceeding)
• Randazzo, V.; Marchetti, G.; Giustetto, C.; Gugliermina, E.; Kumar, R.; Cirrincione, G.; ... (2023)
  Learning-Based Approach to Predict Fatal Events in Brugada Syndrome. In: Applications of Artificial Intelligence and Neural Systems to Data Science / Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, S.L., Springer, pp. 63-72. ISBN: 978-981-99-3591-8
  Contributo in Volume
• Cirrincione, G.; Randazzo, V.; Barbiero, P.; Ciravegna, G.; Pasero, E. (2023)
  Dual Deep Clustering. In: Applications of Artificial Intelligence and Neural Systems to Data Science / Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, S.L., Springer, pp. 51-62. ISBN: 978-981-99-3591-8
  Contributo in Volume
• Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (2023)
  Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network. In: ENGINEERING PROCEEDINGS, vol. 39. ISSN 2673-4591
  Contributo su Rivista
• 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
• 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
• 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. national and international Patent
  Inventors: Shahbozbek Abdunabiev Marco Allegretti Eros Gian Alessandro Pasero Vincenzo Randazzo Daniela Tordella
• SoundBubble for blue collars. national and international Patent
  Inventors: Vincenzo Randazzo
• Sound Bubble. national and international Patent
  Inventors: Vincenzo Randazzo