Gianvito Urgese

• Gianvito Urgese is Associate Professor in the EDA group at Politecnico di Torino, where he leads research activities in neuromorphic computing, bioinformatics, and Industry 4.0 systems. He holds an M.Sc. degree (summa cum laude) in Electrical Engineering and a Ph.D. in Computer and Control Engineering from Politecnico di Torino, with a thesis on computational methods for bioinformatics and neuromorphic platforms. His research focuses on neuromorphic-inspired solutions for embedded AIoT systems, digitalisation strategies for Industry 4.0, and the design of task-specific algorithms for heterogeneous computing platforms. He also investigates tools for analyzing non-coding RNA sequences and develops heterogeneous SW/HW systems for accelerating bioinformatics analysis. He coordinates or contributes to numerous EU and industrial projects including EBRAINS-Italy, Fluently, Arrowhead FPVN, and HBP. He is scientific PI in commercial R&D initiatives focused on smart infrastructure and embedded systems, and currently leads the Neuromorphic Computing & Engineering (inNuCE) Lab, which contributes to a national research infrastructure established through the EBRAINS-Italy project. He teaches graduate and PhD courses in neuromorphic engineering, machine learning, and Python programming. Gianvito is Senior Member of IEEE, editorial board member of BMC Bioinformatics, and topic editor for Frontiers in Neuroscience and MDPI Electronics. He has co-authored over 50 publications in journals including Nature Communications, Science Translational Medicine, and IEEE Transactions.

Settori ERC

SDG

• Best Poster Award conferito da Program Committee of ISMB/ECCB (2019)
• Best Poster Award conferito da Program Committee of New Generation of Circuits and Systems (NGCAS) (2017)
• Best Paper Award conferito da Program Committee of New Generation of Circuits and Systems (NGCAS) (2017)
• PhD quality award conferito da Board of the Ph.D. programme in Computer and Control Engineering of Politecnico di Torino (2014)

• Fellow (riconoscimento scientifico) - IEEE, Stati Uniti (2021-)
  IEEE Senior Member

• BMC BIOINFORMATICS (2024-), Membro del Comitato Editoriale
• FRONTIERS IN NEUROSCIENCE (2023-), Guest Editor di rivista o collana editoriale

• Forum on Specification & Design Languages (FDL) (14/9/2022-16/9/2022), Publication Chair
• Embedded Operating System Workshop - EWiLi (part of the Embedded System Week), Publicity Chair

• Fondo Integrativo Speciale per la Ricerca (FISR). 2020
  Ministero dell'Università e della Ricerca - MUR

• INGEGNERIA INFORMATICA E DEI SISTEMI, 2024/2025 (40. ciclo)
  Politecnico di TORINO
• INGEGNERIA INFORMATICA E DEI SISTEMI, 2023/2024 (39. ciclo)
  Politecnico di TORINO

• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato
• 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. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Computer programming in Python. A.A. 2025/26, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• Applied AI and machine learning. A.A. 2025/26, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Titolare del corso
• Brain-inspired computing and devices. A.A. 2025/26, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
• Machine learning in applications. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• 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)
• Dana Al Mamlouk. Corso in Urban And Regional Development (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

• Tilocca, Salvatore; Fra, Vittorio; Pignata, Andrea; Macii, Enrico; Urgese, Gianvito (In stampa)
  Positioning and tracking enhancement through a spiking Legendre memory unit. In: 7th IFAC Conference on Intelligent Control and Automation Sciences (ICONS 2025), Padova, 15-18 September 2025. ISSN 2405-8971
  Contributo in Atti di Convegno (Proceeding)
• Pignari, Riccardo; Fra, Vittorio; Urgese, Gianvito; Knight, James C.; D'Angelo, Giulia (2025)
  Spiking motion direction through object motion sensitivity. In: 2025 IEEE International Conference on Development and Learning (ICDL) Prague, Prague (CZ), 16/09/2025
  Contributo in Atti di Convegno (Proceeding)
• Bussolan, Andrea; Avram, Oliver; Pignata, Andrea; Urgese, Gianvito; Baraldo, Stefano; ... (2025)
  Personalized Mental State Evaluation in Human-Robot Interaction using Federated Learning. In: IEEE International Conference on Engineering, Technology and Innovation, Valencia (ES), 16th - 19th June 2025. ISSN 2693-8855. ISBN: 979-8-3315-8534-1
  Contributo in Atti di Convegno (Proceeding)
• Forno, Evelina; Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito (2025)
  Path Integral Quantum Annealing Optimizations Validated on 0-1 Multidimensional Knapsack Problem. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. ISSN 2168-6750
  Contributo su Rivista
• Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito (2023)
  Constraint Satisfaction Problems solution through Spiking Neural Networks with improved reliability: the case of Sudoku puzzles. In: 9th SmartData@PoliTO Workshop – SmartData@PoliTO meets AI-H@PoliTO, Loano (IT), 24/09/2023-26/09/2023
  Contributo in Atti di Convegno (Proceeding)