Luciano Prono

Assistant Professor with time contract
Department of Electronics and Telecommunications (DET)

luciano.prono@polito.it

Profile

Research interests

Anomaly detection

Artificial intelligence

Edge computing

Signal processing

Tiny machine learning

Scientific branch

ING-INF/01 - ELECTRONIC ENGINEERING
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE6_7 - Artificial intelligence, intelligent systems, natural language processing

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

PE7_8 - Networks, e.g. communication networks and nodes, Internet of Things, sensor networks, networks of robots

PE7_7 - Signal processing

Teaching

Courses of Study Boards

Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica (ETF). Componente invitato

Teachings

Master of Science

Cloud computing and data center design lab. A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso

Bachelor of Science

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

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)