Master of Science

• Computer programming in Python. A.A. 2021/22, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Collaboratore del corso
• Computer programming in Python. A.A. 2022/23, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Collaboratore del corso

Bachelor of Science

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

• Forno, Evelina (2023)
  Study and implementation of new computational paradigms exploiting neuromorphic hardware architectures. relatore: MACII, Enrico; URGESE, GIANVITO; , 35. XXXV Ciclo, P.: 183
  Doctoral Thesis
• Forno, Evelina; Fra, Vittorio; Arisoy, Mert Dogan; Zhou, Chenghan; Ferraris, Andrea ... (2022)
  Smart Traffic Light Control on Edge in IOT-Regulated Intersections. In: IASTEM 1334th International Conference on Recent Advances in Engineering and Technology, Los Angeles (USA), 18th - 19th July 2022, pp. 23-28
  Contributo in Atti di Convegno (Proceeding)
• Forno, Evelina; Fra, Vittorio; Pignari, Riccardo; Macii, Enrico; Urgese, Gianvito (2022)
  Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task. In: FRONTIERS IN NEUROSCIENCE, vol. 16, pp. 1-20. ISSN 1662-453X
  Contributo su Rivista
• Fra, Vittorio; Forno, Evelina; Pignari, Riccardo; Stewart, Terrence; Macii, Enrico; ... (2022)
  Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications. In: NEUROMORPHIC COMPUTING AND ENGINEERING, vol. 2, pp. 1-14. ISSN 2634-4386
  Contributo su Rivista
• Müller-Cleve, Simon F; Fra, Vittorio; Khacef, Lyes; Pequeño-Zurro, Alejandro; Klepatsch, ... (2022)
  Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware. In: FRONTIERS IN NEUROSCIENCE, vol. 16, pp. 1-21. ISSN 1662-453X
  Contributo su Rivista
• Forno, Evelina; Salvato, Alessandro; Macii, Enrico; Urgese, Gianvito (2021)
  PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform. In: JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, vol. 11. ISSN 2079-9268
  Contributo su Rivista
• Forno, Evelina; Moio, Simone; Schenatti, Michael; Macii, Enrico; Urgese, Gianvito (2020)
  Techniques for improving localization applications running on low-cost IoT devices. In: 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, Milan, 18-20 November, 2020. ISBN: 978-8-8872-3749-8
  Contributo in Atti di Convegno (Proceeding)
• Urgese, G.; Barchi, F.; Parisi, E.; Forno, E.; Acquaviva, A.; Macii, E. (2019)
  Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm. In: ELECTRONICS, vol. 8. ISSN 2079-9292
  Contributo su Rivista