Ph.D. in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Ph.D. obtained in 2025
Dissertation:
Automatic Hardware-aware Design and Optimization of Deep Learning Models
Tutors:
Massimo Poncino Daniele Jahier PagliariProfile
Research topic
Automatic hardware-aware design and optimization of deep learning models
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)
- 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)
- Best Paper Award for the “Application” track achieved at DATE 2024 conference https://date24.date-conference.com/awards (2024)
- PhD quality award at DATE 2024 PhD Forum https://date24.date-conference.com/awards (2024)
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
- Energy management for IoT. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Bachelor of Science
- Tecniche di programmazione. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in 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, M.; Burrello, A.; Jahier Pagliari, D. (2025)
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time. In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, vol. 44, pp. 3532-3545. ISSN 0278-0070
Contributo su Rivista - Pollo, Giovanni; Hamdi, Mohamed Amine; Risso, Matteo; Ruotolo, Lorenzo; Furbatto, ... (2025)
MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. In: ISLPED 2025 IEEE/ACM International Symposium on Low Power Electronics and Design, Reykjavik (ISL), August 6 - 8, 2025
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) - 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 - Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, ... (2024)
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) - 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, Ischia (ITA), May 7 - 9, 2024, pp. 51-54. ISBN: 979-8-4007-0492-5
Contributo in Atti di Convegno (Proceeding) - Barri, Dalibor; Vacula, Patrik; Kote, Vlastimil; Nemazal, Jan; Vacula, Miloš; Pagliari, ... (2024)
AMBEATion: New Algorithm for Generation IC Matched Structures with Respecting Linear and Non-linear Gradient Parameter Effects. In: International Conference on Applied Electronics, Pilsen (CZ), 4-5 October 2024, pp. 1-4. ISSN 1803-7232. ISBN: 979-8-3503-5073-9
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) - Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, ... (2024)
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, vol. 12, pp. 780-794. ISSN 2168-6750
Contributo su Rivista - Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; ... (2023)
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. In: IEEE TRANSACTIONS ON COMPUTERS, vol. 72, pp. 744-758. ISSN 0018-9340
Contributo su Rivista - 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) - Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding) - Risso, Matteo; Burrello, Alessio; Maria Sarda, Giuseppe; Benini, Luca; Macii, Enrico; ... (2023)
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. In: International Symposium on Low Power Electronics and Design (ISLPED) 2023, Vienna (AUT), 07-08 August 2023, pp. 1-6. ISBN: 979-8-3503-1175-4
Contributo in Atti di Convegno (Proceeding) - 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) - 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) - Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier ... (2022)
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. In: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston (USA), August 1 - 3, 2022, pp. 1-6. ISBN: 9781450393546
Contributo in Atti di Convegno (Proceeding) - Risso, M.; Burrello, A.; Benini, L.; Macii, E.; Poncino, M.; Jahier Pagliari, D. (2022)
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. In: 13th IEEE International Green and Sustainable Computing Conference, IGSC 2022, Pittsburgh, PA, USA, 2022, pp. 1-6. ISBN: 978-1-6654-6550-2
Contributo in Atti di Convegno (Proceeding) - Burrello, Alessio; JAHIER PAGLIARI, Daniele; Maria Rapa, Pierangelo; Semilia, Matilde; ... (2022)
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. In: ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE, vol. 3, pp. 1-25. ISSN 2691-1957
Contributo su Rivista