Fixed-term assistant professor
Department of Electronics and Telecommunications (DET)
- Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory
Profile
Research interests
Scientific branch
(Area 0009 - Industrial and information engineering)
Skills
ERC sectors
Teaching
Collegi of the degree programmes
- Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato
Teachings
Master of Science
- Cloud computing and data center design lab. A.A. 2024/25, COMMUNICATIONS ENGINEERING. Collaboratore del corso
- Cloud computing and data center design lab. A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso
Bachelor of Science
- Elettronica applicata. A.A. 2024/25, INGEGNERIA FISICA. Collaboratore del corso
- Elettronica applicata. A.A. 2023/24, INGEGNERIA FISICA. Collaboratore del corso
- Elettronica applicata. A.A. 2022/23, INGEGNERIA FISICA. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Wang, Zuowen; Gao, Chang; Wu, Zongwei; Conde, Marcos V.; Timofte, Radu; Liu, Shih-Chii; ... (2024)
Event-Based Eye Tracking. AIS 2024 Challenge Survey. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA (USA), 17-18 June 2024, pp. 5810-5825. ISBN: 979-8-3503-6547-4
Contributo in Atti di Convegno (Proceeding) - Bich, P.; Boretti, C.; Prono, L.; Pareschi, F.; Rovatti, R.; Setti, G. (2024)
Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning. In: 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS), Abu Dhabi (United Arab Emirates), April 22-25, 2024, pp. 337-341. ISBN: 979-8-3503-8363-8
Contributo in Atti di Convegno (Proceeding) - Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; ... (2023)
Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation. In: 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), Tempe, AZ, USA, August 6-9, 2023, pp. 629-633. ISBN: 979-8-3503-0210-3
Contributo in Atti di Convegno (Proceeding) - Boretti, Chiara; Bich, Philippe; Pareschi, Fabio; Prono, Luciano; Rovatti, Riccardo; ... (2023)
PEDRo: an Event-based Dataset for Person Detection in Robotics. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver (CA), 17-24 giugno 2023, pp. 4065-4070. ISBN: 979-8-3503-0249-3
Contributo in Atti di Convegno (Proceeding) - Boretti, C.; Prono, L.; Frenkel, C.; Indiveri, G.; Pareschi, F.; Mangia, M.; Rovatti, ... (2023)
Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units. In: 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023, Monterey, USA, May 21-25, 2023, pp. 1-5. ISBN: 978-1-6654-5109-3
Contributo in Atti di Convegno (Proceeding) - Marchioni, A.; Prono, L.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G. (2023)
Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices. In: IEEE INTERNET OF THINGS JOURNAL, vol. 10, pp. 12798-12810. ISSN 2327-4662
Contributo su Rivista - Prono, Luciano (2023)
Methods and Applications for Low-power Deep Neural Networks on Edge Devices. relatore: SETTI, GIANLUCA; , 35. XXXV Ciclo, P.: 124
Doctoral Thesis - Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; ... (2022)
Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing. In: 2022 IEEE Biomedical Circuits and System Conference (BioCAS2022), Taipei, Taiwan, October 13-15, 2022, pp. 163-167. ISBN: 978-1-6654-6917-3
Contributo in Atti di Convegno (Proceeding) - Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca (2022)
A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification. In: 2022 International Symposium on Circuits and Systems, Austin, Texas, May 28 - June 1, 2022, pp. 712-716. ISBN: 978-1-6654-8485-5
Contributo in Atti di Convegno (Proceeding) - Prono, L.; Marchioni, A.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G. (2021)
An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction. In: 2021 IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, Berlin, Germany (virtual), Oct. 6-9, 2021, pp. 01-05. ISBN: 978-1-7281-7204-0
Contributo in Atti di Convegno (Proceeding)