One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. - Alessio Burrello; Kaspar Schindler; Luca Benini; Abbas Rahimi (BioCAS, 2018)

Embedding principal component analysis for data reduction in structural health monitoring on low-cost IoT gateways. - Alessio Burrello; Alex Marchioni; Davide Brunelli; Luca Benini (CF, 2019)

DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress. - Alessio Burrello; Francesco Conti 001; Angelo Garofalo; Davide Rossi; Luca Benini (CODES+ISSS, 2019)

Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. - Alessio Burrello; Lukas Cavigelli; Kaspar Schindler; Luca Benini; Abbas Rahimi (DATE, 2019)

Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks. - Marcello Zanghieri; Simone Benatti; Francesco Conti 001; Alessio Burrello; Luca Benini (AICAS, 2020)

Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks. - Alessio Burrello; Daniele Jahier Pagliari; Andrea Bartolini; Luca Benini; Enrico Macii; Massimo Poncino (Euro-Par Workshops, 2020)

Enhancing Structural Health Monitoring with Vehicle Identification and Tracking. - Alessio Burrello; Davide Brunelli; Marzia Malavisi; Luca Benini (I2MTC, 2020)

Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. - Francesco Daghero; Alessio Burrello; Daniele Jahier Pagliari; Luca Benini; Enrico Macii; Massimo Poncino (ICECS, 2020)

Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor. - Marcello Zanghieri; Simone Benatti; Alessio Burrello; Victor Javier Kartsch; Francesco Conti 001; Luca Benini (IEEE Trans. Biomed. Circuits Syst., 2020)

Hyperdimensional Computing With Local Binary Patterns: One-Shot Learning of Seizure Onset and Identification of Ictogenic Brain Regions Using Short-Time iEEG Recordings. - Alessio Burrello; Kaspar Schindler; Luca Benini; Abbas Rahimi (IEEE Trans. Biomed. Eng., 2020)

ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. - Thorir Mar Ingolfsson; Xiaying Wang; Michael Hersche; Alessio Burrello; Lukas Cavigelli; Luca Benini (AICAS, 2021)

Ultra-compact binary neural networks for human activity recognition on RISC-V processors. - Francesco Daghero; Chen Xie; Daniele Jahier Pagliari; Alessio Burrello; Marco Castellano; Luca Gandolfi; Andrea Calimera; Enrico Macii; Massimo Poncino (CF, 2021)

A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes. - Alessio Burrello; Moritz Scherer 001; Marcello Zanghieri; Francesco Conti 001; Luca Benini (COINS, 2021)

sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller. - Marcello Zanghieri; Simone Benatti; Alessio Burrello; Victor Javier Kartsch Morinigo; Roberto Meattini; Gianluca Palli; Claudio Melchiorri; Luca Benini (COINS, 2021)

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari; Francesco Conti 001; Lorenzo Lamberti; Enrico Macii; Luca Benini; Massimo Poncino (DAC, 2021)

Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks. - Mohsen Seyedkazemi Ardebili; Marcello Zanghieri; Alessio Burrello; Francesco Beneventi; Andrea Acquaviva; Luca Benini; Andrea Bartolini (DATE, 2021)

Model-based vs. Data-driven Approaches for Anomaly Detection in Structural Health Monitoring: a Case Study. - Amirhossein Moallemi; Alessio Burrello; Davide Brunelli; Luca Benini (I2MTC, 2021)

Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari; Simone Benatti; Enrico Macii; Luca Benini; Massimo Poncino (ISCAS, 2021)

TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. - Alessio Burrello; Alberto Dequino; Daniele Jahier Pagliari; Francesco Conti 001; Marcello Zanghieri; Enrico Macii; Luca Benini; Massimo Poncino (ISLPED, 2021)

Damage Detection in Structural Health Monitoring with Spiking Neural Networks. - Luca Zanatta; Francesco Barchi; Alessio Burrello; Andrea Bartolini; Davide Brunelli; Andrea Acquaviva (MetroInd4.0&IoT, 2021)

Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. - Francesco Daghero; Alessio Burrello; Chen Xie; Luca Benini; Andrea Calimera; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (VLSI-SoC, 2021)

Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. - Francesco Daghero; Alessio Burrello; Chen Xie; Luca Benini; Andrea Calimera; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (VLSI-SoC (Selected Papers), 2021)

Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs. - Daniele Palossi; Nicky Zimmerman; Alessio Burrello; Francesco Conti 001; Hanna Müller; Luca Maria Gambardella; Luca Benini; Alessandro Giusti; Jérôme Guzzi (CoRR, 2021)

Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring. - Francesco Barchi; Luca Zanatta; Emanuele Parisi; Alessio Burrello; Davide Brunelli; Andrea Bartolini; Andrea Acquaviva (Future Internet, 2021)

Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring. - Alessio Burrello; Alex Marchioni; Davide Brunelli; Simone Benatti; Mauro Mangia; Luca Benini (IEEE Internet Things J., 2021)

Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. - Alessio Burrello; Daniele Jahier Pagliari; Matteo Risso; Simone Benatti; Enrico Macii; Luca Benini; Massimo Poncino (IEEE Trans. Biomed. Circuits Syst., 2021)

DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. - Alessio Burrello; Angelo Garofalo; Nazareno Bruschi; Giuseppe Tagliavini; Davide Rossi; Francesco Conti 001 (IEEE Trans. Computers, 2021)

An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. - Alessio Burrello; Simone Benatti; Kaspar Schindler; Luca Benini; Abbas Rahimi (IEEE J. Biomed. Health Informatics, 2021)

Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring. - Alessio Burrello; Giacomo Sintoni; Davide Brunelli; Luca Benini (AICAS, 2022)

Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data. - Alessio Burrello; Daniele Jahier Pagliari; Marzia Bianco; Enrico Macii; Luca Benini; Massimo Poncino; Simone Benatti (BioCAS, 2022)

EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices. - Paola Busia; Andrea Cossettini; Thorir Mar Ingolfsson; Simone Benatti; Alessio Burrello; Moritz Scherer 001; Matteo Antonio Scrugli; Paolo Meloni; Luca Benini (BioCAS, 2022)

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. - Alessio Burrello; Francesco Bianco Morghet; Moritz Scherer 001; Simone Benatti; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (DATE, 2022)

Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. - Matteo Risso; Alessio Burrello; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (IGSC, 2022)

Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. - Matteo Risso; Alessio Burrello; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (ISLPED, 2022)

Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation. - Panagiotis Kasnesis; Lazaros Toumanidis; Alessio Burrello; Christos Chatzigeorgiou; Charalampos Z. Patrikakis (CoRR, 2022)

Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. - Alessio Burrello; Daniele Jahier Pagliari; Pierangelo Maria Rapa; Matilde Semilia; Matteo Risso; Tommaso Polonelli; Massimo Poncino; Luca Benini; Simone Benatti (ACM Trans. Comput. Heal., 2022)

Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring. - Amirhossein Moallemi; Alessio Burrello; Davide Brunelli; Luca Benini (IEEE Internet Things J., 2022)

Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs. - Daniele Palossi; Nicky Zimmerman; Alessio Burrello; Francesco Conti 001; Hanna Müller; Luca Maria Gambardella; Luca Benini; Alessandro Giusti; Jérôme Guzzi (IEEE Internet Things J., 2022)

Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning. - Alessio Burrello; Giovanni Zara; Luca Benini; Davide Brunelli; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (Sustain. Comput. Informatics Syst., 2022)

Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. - Francesco Daghero; Alessio Burrello; Chen Xie; Marco Castellano; Luca Gandolfi; Andrea Calimera; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (ACM Trans. Embed. Comput. Syst., 2022)

WIP: Automatic DNN Deployment on Heterogeneous Platforms: the GAP9 Case Study. - Luka Macan; Alessio Burrello; Luca Benini; Francesco Conti 001 (CASES, 2023)

Feature-Level Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation. - Panagiotis Kasnesis; Lazaros Toumanidis; Alessio Burrello; Christos Chatzigeorgiou; Charalampos Z. Patrikakis (COMPSAC, 2023)

HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. - Josse Van Delm; Maarten Vandersteegen; Alessio Burrello; Giuseppe Maria Sarda; Francesco Conti 001; Daniele Jahier Pagliari; Luca Benini; Marian Verhelst (DAC, 2023)

Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. - Alessio Burrello; Matteo Risso; Noemi Tomasello; Yukai Chen; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (DATE, 2023)

PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization. - Daniele Jahier Pagliari; Matteo Risso; Beatrice Alessandra Motetti; Alessio Burrello (FDL, 2023)

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. - Elia Cereda; Luca Crupi; Matteo Risso; Alessio Burrello; Luca Benini; Alessandro Giusti; Daniele Jahier Pagliari; Daniele Palossi (ICRA, 2023)

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. - Matteo Risso; Alessio Burrello; Giuseppe Maria Sarda; Luca Benini; Enrico Macii; Massimo Poncino; Marian Verhelst; Daniele Jahier Pagliari (ISLPED, 2023)

A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. - Alessandro Nadalini; Georg Rutishauser; Alessio Burrello; Nazareno Bruschi; Angelo Garofalo; Luca Benini; Francesco Conti 001; Davide Rossi (ISVLSI, 2023)

RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project. - William Fornaciari; Federico Reghenzani; Giovanni Agosta; Davide Zoni; Andrea Galimberti; Francesco Conti 001; Yvan Tortorella; Emanuele Parisi; Francesco Barchi; Andrea Bartolini; Andrea Acquaviva; Daniele Gregori; et al. (SAMOS, 2023)

A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. - Fabrizio Ferrandi; Serena Curzel; Leandro Fiorin; Daniele Ielmini; Cristina Silvano; Francesco Conti 001; Alessio Burrello; Francesco Barchi; Luca Benini; Luciano Lavagno; Teodoro Urso; Enrico Calore; et al. (CoRR, 2023)

Optimizing AI at the Edge: from network topology design to MCU deployment. - Alessio Burrello (2023)

ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems. - Andrea Borghesi; Alessio Burrello; Andrea Bartolini (IEEE Internet Things J., 2023)

Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. - Chen Xie; Alessio Burrello; Francesco Daghero; Luca Benini; Andrea Calimera; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (Sensors, 2023)

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. - Matteo Risso; Alessio Burrello; Francesco Conti 001; Lorenzo Lamberti; Yukai Chen; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (IEEE Trans. Computers, 2023)

Driving Towards Safety: Online PPG-based Drowsiness Detection with TCNs. - Pierangelo Maria Rapa; Mattia Orlandi; Andrea Amidei; Alessio Burrello; Roberto Rabbeni; Paolo Pavan; Luca Benini; Simone Benatti (AICAS, 2024)

Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. - Alessio Burrello; Francesco Carlucci; Giovanni Pollo; Xiaying Wang; Massimo Poncino; Enrico Macii; Luca Benini; Daniele Jahier Pagliari (BioCAS, 2024)

Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA. - Nicolò Carpentieri; Juan Sapriza; Pasquale Davide Schiavone; Daniele Jahier Pagliari; David Atienza; Maurizio Martina; Alessio Burrello (CF (Companion), 2024)

Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. - Mohamed Amine Hamdi; Giovanni Pollo; Matteo Risso; Germain Haugou; Alessio Burrello; Enrico Macii; Massimo Poncino; Sara Vinco; Daniele Jahier Pagliari (CF (Companion), 2024)

Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. - Beatrice Alessandra Motetti; Luca Crupi; Mustafa Omer Mohammed Elamin Elshaigi; Matteo Risso; Daniele Jahier Pagliari; Daniele Palossi; Alessio Burrello (DATE, 2024)

HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. - Matteo Risso; Chen Xie; Francesco Daghero; Alessio Burrello; Seyedmorteza Mollaei; Marco Castellano; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (DATE, 2024)

BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring. - Luca Benfenati; Thorir Mar Ingolfsson; Andrea Cossettini; Daniele Jahier Pagliari; Alessio Burrello; Luca Benini (EMBC, 2024)

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. - Matteo Risso; Francesco Daghero; Beatrice Alessandra Motetti; Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino; Alessio Burrello (ERF (1), 2024)

Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. - Francesco Daghero; Alessio Burrello; Massimo Poncino; Enrico Macii; Daniele Jahier Pagliari (SAMOS, 2024)

Foundation Models for Structural Health Monitoring. - Luca Benfenati; Daniele Jahier Pagliari; Luca Zanatta; Yhorman Alexander Bedoya Velez; Andrea Acquaviva; Massimo Poncino; Enrico Macii; Luca Benini; Alessio Burrello (CoRR, 2024)

Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform. - Viviane Potocnik; Luca Colagrande; Tim Fischer 001; Luca Bertaccini; Daniele Jahier Pagliari; Alessio Burrello; Luca Benini (CoRR, 2024)

Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. - Beatrice Alessandra Motetti; Matteo Risso; Alessio Burrello; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2024)

MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices. - Mohamed Amine Hamdi; Francesco Daghero; Giuseppe Maria Sarda; Josse Van Delm; Arne Symons; Luca Benini; Marian Verhelst; Daniele Jahier Pagliari; Alessio Burrello (CoRR, 2024)

EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation. - Luca Benfenati; Sofia Belloni; Alessio Burrello; Panagiotis Kasnesis; Xiaying Wang; Luca Benini; Massimo Poncino; Enrico Macii; Daniele Jahier Pagliari (CoRR, 2024)

Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. - Alessio Burrello; Matteo Risso; Beatrice Alessandra Motetti; Enrico Macii; Luca Benini; Daniele Jahier Pagliari (IEEE Trans. Emerg. Top. Comput., 2024)

Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. - Francesco Daghero; Alessio Burrello; Enrico Macii; Paolo Montuschi; Massimo Poncino; Daniele Jahier Pagliari (IEEE Internet Things J., 2024)

Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs. - Paola Busia; Andrea Cossettini; Thorir Mar Ingolfsson; Simone Benatti; Alessio Burrello; Victor J. B. Jung; Moritz Scherer 001; Matteo Antonio Scrugli; Adriano Bernini; Pauline Ducouret; Philippe Ryvlin; Paolo Meloni; et al. (IEEE Trans. Biomed. Circuits Syst., 2024)

Deeploy: Enabling Energy-Efficient Deployment of Small Language Models on Heterogeneous Microcontrollers. - Moritz Scherer 001; Luka Macan; Victor J. B. Jung; Philip Wiese; Luca Bompani; Alessio Burrello; Francesco Conti 001; Luca Benini (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

POSTER: V-Seek: Optimizing LLM Reasoning on A Server-Class General-Purpose RISC-V Platform. - Javier Jesus Poveda Rodrigo; Mohamed Amine Hamdi; Cyril Koenig; Alessio Burrello; Daniele Jahier Pagliari; Luca Benini (CF, 2025)

Multi-Partner Project: Advancing the EDA Tools Landscape for the European RISC-V Ecosystem in TRISTAN. - Fatma Jebali; Caaliph Andriamisaina; Mathieu Jan; Wolfgang Ecker; Florian Egert; Bernhard Fischer; Alessio Burrello; Daniele Jahier Pagliari; Sara Vinco; Giuseppe Tagliavini; Ingo Feldner; Andreas Mauderer; et al. (DATE, 2025)

Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction. - Giovanni Pollo; Alessio Burrello; Enrico Macii; Massimo Poncino; Sara Vinco; Daniele Jahier Pagliari (DATE, 2025)

Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. - Matteo Risso; Alessia Goffi; Beatrice Alessandra Motetti; Alessio Burrello; Jean Baptiste Bove; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari; Giuseppe Maffeis (IPAS, 2025)

Optimizing the Deployment of Tiny Transformers on Low-Power MCUs. - Victor Jean-Baptiste Jung; Alessio Burrello; Moritz Scherer 001; Francesco Conti 001; Luca Benini (IEEE Trans. Computers, 2025)

Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers. - Francesco Daghero; Daniele Jahier Pagliari; Francesco Conti 001; Luca Benini; Massimo Poncino; Alessio Burrello (CoRR, 2025)

V-Seek: Accelerating LLM Reasoning on Open-hardware Server-class RISC-V Platforms. - Javier J. Poveda Rodrigo; Mohamed Amine Ahmdi; Alessio Burrello; Daniele Jahier Pagliari; Luca Benini (CoRR, 2025)

EMG Acquisition and Processing for Hand Movement Decoding on Embedded Systems: State of the Art and Challenges. - Simone Benatti; Elisa Donati; Ali Moin; Marcello Zanghieri; Mattia Orlandi; Alessio Burrello; Fiorenzo Artoni; Silvestro Micera; Luca Benini; Jan M. Rabaey (Proc. IEEE, 2025)

Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches. - Victor J. B. Jung; Alessio Burrello; Francesco Conti 001; Luca Benini (CoRR, 2025)

MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. - Giovanni Pollo; Mohamed Amine Hamdi; Matteo Risso; Lorenzo Ruotolo; Pietro Furbatto; Matteo Isoldi; Yukai Chen; Alessio Burrello; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari; Sara Vinco (CoRR, 2025)

Optimizing DNN Inference on Multi-accelerator SoCs at Training-Time. - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Toward Attention-Based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow. - Philip Wiese; Gamze Islamoglu; Moritz Scherer 001; Luka Macan; Victor Jean-Baptiste Jung; Alessio Burrello; Francesco Conti 001; Luca Benini (IEEE Des. Test, 2025)