Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)
Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Design of bioinformatics algorithms and their implementation on a heterogeneous neuromorphic computing platform
Tutors
Keywords
Teaching
Teachings
Master of Science
- System-on-chip architecture. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Applied AI and machine learning. A.A. 2025/26, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Collaboratore del corso
- System-on-chip architecture. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Applied AI and machine learning. A.A. 2024/25, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Collaboratore del corso
- Applied AI and machine learning. A.A. 2023/24, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Collaboratore del corso
Bachelor of Science
- Computer sciences. A.A. 2023/24, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Urgese, Gianvito; Fra, Vittorio; Pignata, Andrea; Fanuli, Giuseppe; Gomez, Walter ... (2026)
The inNuCE Research Infrastructure and the Neuromorphic MLOps for AIoT prototyping. In: IEEE INTERNET OF THINGS JOURNAL, vol. 13, pp. 19286-19299. ISSN 2327-4662
Contributo su Rivista - GALLEGO GOMEZ, Walter; Grassi, Elena; Bertotti, Andrea; Urgese, Gianvito (2025)
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, pp. 62-69. ISBN: 979-8-4007-1753-6
Contributo in Atti di Convegno (Proceeding) - Gallego Gomez, Walter; Pignata, Andrea; Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; ... (2023)
First steps towards micro-benchmarking the Lava-Loihi neuromorphic ecosystem. In: 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023), Singapore, December 18-21, 2023, pp. 462-469. ISBN: 979-8-3503-9361-3
Contributo in Atti di Convegno (Proceeding)