PhD Student 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
- 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. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Energy management for IoT. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Bachelor of Science
- Tecniche di programmazione. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Risso, Matteo; Burrello, Alessio; Maria Sarda, Giuseppe; Benini, Luca; Macii, Enrico; ... (In stampa)
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. In: ACM/IEEE International Symposium on Low Power Electronics and Design
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)