Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Automatic hardware-aware design and optimization of deep learning models
Tutors
Research presentation
Research interests
Biography
My academic journey has always been fueled by a relentless curiosity and a passion for technology. I am deeply fascinated by Machine Learning and Deep Learning, and I thrive on the challenges of Design Automation and the intricacies of building Energy-Efficient Embedded Systems. I believe that these fields hold the keys to shape a smarter and better world for everyone, where technology goes hand in hand with the good.
I like to define myself as a technology enthusiast, driven by a boundless curiosity and an insatiable hunger for knowledge. I always do my best to not only work hard but also work smart. I always strive to be a valuable team player, collaborating effectively to achieve shared goals.
Awards and Honors
- Form to collect the information relevant for the PhD Quality Awards (2024)
- PhD quality award at DATE 2024 PhD Forum https://date24.date-conference.com/awards (2024)
- Best Paper Award for the “Application” track achieved at DATE 2024 conference https://date24.date-conference.com/awards (2024)
- Each month, TC selects a “Featured Paper of the Month” to highlight a new technological or theoretical breakthrough with potential for high impact in the field. All accepted TC papers are eligible for consideration by a selection committee. The highlighted paper is available free of charge for the month on TC’s homepage. Authors of featured papers are invited to provide supplemental multimedia contents in multiple languages to promote their ideas openly to a broad audience. (2023)
Teaching
Teachings
Master of Science
- Energy management for IoT. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Energy management for IoT. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Energy management for IoT. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Bachelor of Science
- Tecniche di programmazione. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, ... (In stampa)
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. In: IEEE TRANSACTIONS ON COMPUTERS, pp. 1-14. ISSN 0018-9340
Contributo su Rivista - Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, ... (In stampa)
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
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) - Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; ... (2024)
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. In: Design, Automation and Test in Europe Conference and Exhibition, DATE 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) - Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, ... (2024)
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. In: Design, Automation and Test in Europe Conference and Exhibition, DATE 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)