Luciano Prono

Fixed-term Assistant Professor
Department of Electronics and Telecommunications (DET)

Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory

luciano.prono@polito.it

Profile

Research interests

Anomaly detection

Artificial intelligence

Biomedical signal processing

Compressed sensing

Digital circuits and systems

Edge computing

Internet of things

Neuromorphic 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

Collegi of the degree programmes

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

MostraNascondi A.A. passati

Publications

Latest publications View all publications in Porto@Iris

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)
Prono, L.; Mangia, M.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G. (2020)
Low-power fixed-point compressed sensing decoder with support oracle. In: 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020, Seville, Spain (Virtual), 2020. ISBN: 978-1-7281-3320-1
Contributo in Atti di Convegno (Proceeding)
Prono, L.; Mangia, M.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G. (2020)
Deep Neural Oracle with Support Identification in the Compressed Domain. In: IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, vol. 10, pp. 458-468. ISSN 2156-3357
Contributo su Rivista

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