Gianvito Urgese

• Gianvito Urgese is involved in several European funded projects focused on Neuromorphic, Bioinformatics, and Industry 4.0. His research interests focus on: (i) Research and design of optimised task-specific algorithms; (ii) Development of tools for the study of non-coding biological sequences; (iii) Design of heterogeneous SW/HW architectures to accelerate bioinformatics algorithms; (iv) Design of algorithms for exploiting the computational advantages of the neuromorphic platforms;(v) Definition of an alternative engineering process reference architecture for the management of a digitalised life-cycle of products and solutions in the Industry 4.0 projects.

Settori ERC

SDG

• INGEGNERIA INFORMATICA E DEI SISTEMI, 2023/2024 (39. ciclo)
  Politecnico di TORINO

• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato
• Collegio di Pianificazione e Progettazione. Componente

Dottorato di ricerca

• Optimized Execution of Neural Networks at the Edge and Neuromorphic Computing Systems. A.A. 2024/25, INGEGNERIA INFORMATICA E DEI SISTEMI. Collaboratore del corso
• Neuromorphic Computing and Engineering. A.A. 2023/24, INGEGNERIA INFORMATICA E DEI SISTEMI. Titolare del corso
• Neuromorphic Computing and Engineering. A.A. 2022/23, INGEGNERIA INFORMATICA E DEI SISTEMI. Titolare del corso
• Optimized execution of neural networks at the edge. A.A. 2021/22, INGEGNERIA INFORMATICA E DEI SISTEMI. Collaboratore del corso
• Computing Paradigms for Error-Tolerant Applications. A.A. 2020/21, INGEGNERIA INFORMATICA E DEI SISTEMI. Collaboratore del corso
• Computing Paradigms for Error-Tolerant Applications. A.A. 2019/20, INGEGNERIA INFORMATICA E DEI SISTEMI. Collaboratore del corso

Corso di laurea magistrale

• System-on-chip architecture. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning in applications. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Computer programming in Python. A.A. 2024/25, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• Applied AI and machine learning. A.A. 2024/25, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• Computer programming in Python. A.A. 2023/24, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• Applied AI and machine learning. A.A. 2023/24, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• System-on-chip architecture. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning in applications. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• System-on-chip architecture. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning in applications. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Computer programming in Python. A.A. 2022/23, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• Applied AI and machine learning. A.A. 2022/23, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• System-on-chip architecture. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning in applications. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Computer programming in Python. A.A. 2021/22, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• Applied AI and machine learning. A.A. 2021/22, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• System-on-chip architecture. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• System-on-chip architecture. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Corso di laurea di 1° livello

• Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• EDA - Electronic Design Automation (DAUIN)

Progetti finanziati da contratti commerciali

• Supporto allo sviluppo di un smart digital water distributor monitoring system, (2024-2025) - Responsabile Scientifico
  Ricerca Commerciale
• Modelli statistici, Data Analytics e Machine Learning, (2022-2023) - Responsabile Scientifico
  Ricerca Commerciale
• “Modelli statistici, data analytics e machine learning (year 2020)”, “Fog computing e opportunistic networking (year 2020)” e “Design e implementazione di funzionalità firmware avanzate (year 2020)”, (2020-2021) - Responsabile Scientifico
  Ricerca Commerciale
• MODELLI STATISTICI, DATA ANALYTICS E MACHINE LEARNING”, “FOG COMPUTING E OPPORTUNISTIC NETWORKING” e “DESIGN E IMPLEMENTAZIONE DI FUNZIONALITÀ FIRMWARE AVANZATE”, (2019-2020) - Responsabile Scientifico
  Ricerca Commerciale

• Filippo Aisa. Corso in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40^o ciclo, 2024-in corso)
• Walter Gallego Gomez. Corso in Ingegneria Informatica E Dei Sistemi (39^o ciclo, 2023-in corso)
  Argomento della ricerca: Design of bioinformatics algorithms and their implementation on a heterogeneous neuromorphic computing platform
  
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Life sciences
  Parallel and distributed systems, Quantum computing
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Life sciences
  Parallel and distributed systems, Quantum computing
• Andrea Pignata. Corso in Ingegneria Informatica E Dei Sistemi (39^o ciclo, 2023-in corso)
  Argomento della ricerca: Development framework for the engineering process of edge-based AIoT sensor solutions
  
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
• Michelangelo Barocci. Corso in Ingegneria Informatica E Dei Sistemi (38^o ciclo, 2023-in corso)
  Argomento della ricerca: Design of digital/neuromorphic computing systems and SDK
  
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Parallel and distributed systems, Quantum computing
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Parallel and distributed systems, Quantum computing
• Riccardo Pignari. Corso in Ingegneria Informatica E Dei Sistemi (38^o ciclo, 2022-in corso)
  Argomento della ricerca: New computational paradigms for neuromorphic hardware
  
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Parallel and distributed systems, Quantum computing
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Parallel and distributed systems, Quantum computing
• Evelina Forno. Corso in Ingegneria Informatica E Dei Sistemi (35^o ciclo, 2019-2023)
  Tesi: Study and implementation of new computational paradigms exploiting neuromorphic hardware architectures

• Barocci, Michelangelo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito (In stampa)
  Heterogeneous SoC integrating an open-source recurrent SNN accelerator for neuromorphic edge computing on FPGA. In: ECML PKDD 2024 - "Deep Learning meets Neuromorphic Hardware" workshop, Vilnius (Lituania), 09/09/2024 - 14/09/2024. ISSN 1865-0929
  Contributo in Atti di Convegno (Proceeding)
• GALLEGO GOMEZ, Walter; Grassi, Elena; Bertotti, Andrea; Urgese, Gianvito (In stampa)
  An ensemble method for calling and ranking somatic structural variants using long and short reads. In: The 11th International Conference on Bioinformatics Research and Applications (ICBRA 2024), Milan (ITA), September 13-15, 2024
  Contributo in Atti di Convegno (Proceeding)
• Pignata, Andrea; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito (2024)
  A Time-synchronized Framework for Bluetooth Low Energy Wireless Sensor Networks. In: 18th IEEE International Conference Application of Information and Communication Technologies, Turin (IT), 25-27 September 2024. ISBN: 979-8-3503-8753-7
  Contributo in Atti di Convegno (Proceeding)
• Müller-Cleve, Simon F.; Quintana, Fernando M.; Fra, Vittorio; Galindo, Pedro L.; ... (2024)
  WiN-GUI: A graphical tool for neuron-based encoding. In: SOFTWAREX, vol. 27, pp. 1-6. ISSN 2352-7110
  Contributo su Rivista
• Pedersen, Jens E.; Abreu, Steven; Jobst, Matthias; Lenz, Gregor; Fra, Vittorio; Bauer, ... (2024)
  Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing. In: NATURE COMMUNICATIONS, vol. 15, pp. 1-15. ISSN 2041-1723
  Contributo su Rivista