Beatrice Alessandra Motetti

Dottoranda in Ingegneria Informatica E Dei Sistemi , 39^o ciclo (2023-2026)
Dipartimento di Automatica e Informatica (DAUIN)

Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)

beatrice.motetti@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

Advanced Deep Learning Optimization for Extreme Edge Applications

Tutori

Interessi di ricerca

Data science, Computer vision and AI

Biografia

Beatrice Alessandra Motetti received her B.Sc. degree in Computer Engineering and her M.Sc. degree in Data Science and Engineering from Politecnico di Torino, Italy, in 2020 and 2022 respectively. She is currently a Ph.D. student in Computer and Control Engineering in the Electronic Design Automation group at Politecnico di Torino. Her activities are focused on the exploration of novel static and adaptive optimization techniques for deep learning models targeting resource-constrained devices.

Didattica

Insegnamenti

Corso di laurea magistrale

Programming techniques. A.A. 2024/25, AGRITECH ENGINEERING. Collaboratore del corso
Programming techniques. A.A. 2023/24, AGRITECH ENGINEERING. Collaboratore del corso

MostraNascondi A.A. passati

Corso di laurea di 1° livello

Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

Ricerca

Gruppi di ricerca

EDA - Electronic Design Automation (DAUIN)

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Risso, Matteo; Goffi, Alessia; Motetti, BEATRICE ALESSANDRA; Burrello, Alessio; Baptiste ... (2025)
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. In: International Conference on Image Processing, Applications and Systems (IPAS), Lyon (FRA), 09-11 January 2025. ISBN: 979-8-3315-0653-7
Contributo in Atti di Convegno (Proceeding)
Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, ... (2025)
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. In: ERF 2024 | European Robotics Forum, Rimini (IT), March, 13 - 15, 2024, pp. 304-309. ISSN 2511-1256. ISBN: 978-3-031-76423-3
Contributo in Atti di Convegno (Proceeding)
Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; ... (2024)
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. In: Design, Automation and Test in Europe Conference, 2024, Valencia (ESP), 25-27 March 2024, pp. 1-6. ISSN 1530-1591. ISBN: 978-3-9819263-8-5
Contributo in Atti di Convegno (Proceeding)
Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, ... (2024)
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. In: IEEE TRANSACTIONS ON COMPUTERS, vol. 73, pp. 2619-2633. ISSN 0018-9340
Contributo su Rivista
Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio (2023)
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization. In: Forum for Specification and Design Languages (FDL), Turin (Italy), September 13-15, 2023, pp. 1-8
Contributo in Atti di Convegno (Proceeding)