Dottorando in Ingegneria Informatica E Dei Sistemi , 37o ciclo (2021-2024)
Dipartimento di Automatica e Informatica (DAUIN)
Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)
Profilo
Dottorato di ricerca
Argomento di ricerca
Automatic hardware-aware design and optimization of deep learning models
Tutori
Presentazione della ricerca
Interessi di ricerca
Biografia
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.
Premi e riconoscimenti
- 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)
Didattica
Insegnamenti
Corso di laurea magistrale
- 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
Corso di laurea di 1° livello
- Tecniche di programmazione. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, ... (2024)
Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices. In: Computing Frontiers Open-Source Hardware Workshop
Contributo in Atti di Convegno (Proceeding) - 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) - Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, ... (2023)
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, pp. 1-15. ISSN 2168-6750
Contributo su Rivista - Cereda, Elia; Crupi, Luca; Risso, Matteo; Burrello, Alessio; Benini, Luca; Giusti, ... (2023)
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. In: 2023 IEEE International Conference on Robotics and Automation (ICRA), London (UK), 29 May 2023 - 02 June 2023, pp. 6065-6071. ISSN 2379-9544. ISBN: 979-8-3503-2365-8
Contributo in Atti di Convegno (Proceeding) - Burrello, Alessio; Risso, Matteo; Tomasello, Noemi; Chen, Yukai; Benini, Luca; Macii, ... (2023)
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp (Belgium), 17-19 April 2023. ISBN: 978-3-9819263-7-8
Contributo in Atti di Convegno (Proceeding)