Vincenzo Randazzo

ERC sectors

SDG

• Collegio di Ingegneria Elettrica ed Energetica. Componente invitato
• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato

PhD

• Introduction to Neural Networks and Deep Learning. A.A. 2023/24, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Main teacher

Master of Science

• Electronic systems engineering. A.A. 2024/25, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Electronic systems engineering. A.A. 2023/24, 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. 2021/22, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Electronic systems engineering. A.A. 2020/21, 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
• Electronic systems engineering. A.A. 2019/20, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso

Bachelor of Science

• Fondamenti di elettronica di potenza. A.A. 2024/25, INGEGNERIA ELETTRICA. Collaboratore del corso
• Circuiti elettronici. A.A. 2024/25, INGEGNERIA ELETTRONICA. Collaboratore del corso
• Fondamenti di elettronica di potenza. A.A. 2023/24, INGEGNERIA ELETTRICA. Collaboratore del corso
• Circuiti elettronici. A.A. 2023/24, INGEGNERIA ELETTRONICA. 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
• Fondamenti di elettronica di potenza. A.A. 2021/22, INGEGNERIA ELETTRICA. Collaboratore del corso
• Fondamenti di elettronica di potenza. A.A. 2019/20, INGEGNERIA ELETTRICA. Collaboratore del corso

Projects funded by commercial contracts

• "Corso introduzione al machine learning dalle basi alle potenziali applicazioni industriali”, (2024-2024) - Responsabile Scientifico
  Commercial contracts

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/

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/

Jun 2019 Trainer at Italian Tech Weekend Innovation bootcamp - https://itwend.org/

Feb 2019 Trainer at Inventor bootcamp of SEI (Turin, Italy) https://sei.it/scuola/inventor/

Sep 2018 Trainer at Inventor bootcamp of SEI (Turin, Italy) 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/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/

Nov 2017 – Jun 2018 Trainer at Innovation for Change program of Politecnico di Torino and SAFM (Turin, Italy) - http://dottorato.polito.it/it/innovationforchange

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

• Alessandro Casella. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40^th cycle, 2024-in progress)
• Federico Delrio. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38^th cycle, 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

• Rosso, Marco Martino; Aloisio, Angelo; Randazzo, Vincenzo; Tanzi, Leonardo; Cirrincione, ... (2024)
  Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing. In: INTEGRATED COMPUTER-AIDED ENGINEERING, vol. 31, pp. 213-232. ISSN 1069-2509
  Contributo su Rivista
• Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; ... (2024)
  Gradient-Based Competitive Learning: Theory. In: COGNITIVE COMPUTATION, vol. 16, pp. 608-623. ISSN 1866-9956
  Contributo su Rivista
• Ghione, Giorgia; Randazzo, Vincenzo; Badami, Marco; Pasero, Eros (2024)
  Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions. In: 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024, Politecnico di Milano - Polo Territoriale di Lecco, ita, 2024, pp. 642-646
  Contributo in Atti di Convegno (Proceeding)
• Randazzo, Vincenzo; Buccellato, Pietro; Ferretti, Jacopo; Delrio, Federico; Pasero, Eros (2024)
  PulsECG - A Cuffless Non-Invasive Blood Pressure Monitoring Device through Neural Network Analysis of ECG and PPG signals. In: 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Oporto (Portogallo), 25-27 June 2024, pp. 1030-1035. ISSN 2158-8481. ISBN: 979-8-3503-8702-5
  Contributo in Atti di Convegno (Proceeding)
• Caligari, Silvia; Randazzo, Vincenzo; Gaita, Fiorenzo; Giustetto, Carla; Millesimo, ... (2024)
  A neural network approach for the prediction of arrhythmic events in patients with Brugada syndrome via ECG features analysis. In: IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Porto (Portugal), 25-27 June 2024, pp. 329-333. ISSN 2158-8481. ISBN: 979-8-3503-8702-5
  Contributo in Atti di Convegno (Proceeding)
• Pasero, Eros; Gaita, Fiorenzo; Randazzo, Vincenzo; Meynet, Pierre; Cannata, Sergio; ... (2023)
  Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events. In: SENSORS, vol. 23. ISSN 1424-8220
  Contributo su Rivista
• 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
• Tordella, Daniela; Pasero, Eros; Paredes, Miryam; Abdunabiev, Shahbozbek; Allegretti, ... (2022)
  RADIOSONDA ATMOSFERICA E METODO PER IL SUO FUNZIONAMENTO (estensione PCT: Lagrangian swarm of mini radio probes for atmospheric and environmental monitoring, and method of operation thereof). N. brevetto: 102022000010403, propr. brevetto: Politecnico di Torino
  Brevetti
• 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
• 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

• SMART & CONCRETE 2. national Patent
  Inventors: Costanza Anerdi Giuseppe Carlo Marano Jonathan Melchiorre Vincenzo Randazzo
• SMART & CONCRETE. national Patent
  Inventors: Costanza Anerdi Giuseppe Carlo Marano Jonathan Melchiorre Vincenzo Randazzo
• SoundBubble for blue collars. national and international Patent
  Inventors: Vincenzo Randazzo
• SoundBubble for blue collars. national and international Patent
  Inventors: Vincenzo Randazzo
• Sound Bubble. national and international Patent
  Inventors: Vincenzo Randazzo
• Sound Bubble. national and international Patent
  Inventors: Vincenzo Randazzo