Microwave Imaging for Breast Cancer Detection: A COTS-Based Prototype. - Azzurra Pulimeno; Marco Vacca; Mario R. Casu; Jorge A. Tobon; Francesca Vipiana; Daniele Jahier Pagliari; Raffaele Solimene; Luca P. Carloni (ApplePies, 2015)

A low-cost, fast, and accurate microwave imaging system for breast cancer detection. - Daniele Jahier Pagliari; Azzurra Pulimeno; Marco Vacca; Jorge A. Tobon; Francesca Vipiana; Mario R. Casu; Raffaele Solimene; Luca P. Carloni (BioCAS, 2015)

Acceleration of microwave imaging algorithms for breast cancer detection via High-Level Synthesis. - Daniele Jahier Pagliari; Mario R. Casu; Luca P. Carloni (ICCD, 2015)

An automated design flow for approximate circuits based on reduced precision redundancy. - Daniele Jahier Pagliari; Andrea Calimera; Enrico Macii; Massimo Poncino (ICCD, 2015)

Serial T0: approximate bus encoding for energy-efficient transmission of sensor signals. - Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (DAC, 2016)

Low-overhead adaptive constrast enhancement and power reduction for OLEDs. - Daniele Jahier Pagliari; Massimo Poncino; Enrico Macii (DATE, 2016)

Approximate Differential Encoding for Energy-Efficient Serial Communication. - Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (ACM Great Lakes Symposium on VLSI, 2016)

A methodology for the design of dynamic accuracy operators by runtime back bias. - Daniele Jahier Pagliari; Yves Durand; David Coriat; Anca Molnos; Edith Beigné; Enrico Macii; Massimo Poncino (DATE, 2017)

Optimal content-dependent dynamic brightness scaling for OLED displays. - Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (PATMOS, 2017)

Accelerators for Breast Cancer Detection. - Daniele Jahier Pagliari; Mario R. Casu; Luca P. Carloni (ACM Trans. Embed. Comput. Syst., 2017)

Approximate Energy-Efficient Encoding for Serial Interfaces. - Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (ACM Trans. Design Autom. Electr. Syst., 2017)

All-digital embedded meters for on-line power estimation. - Daniele Jahier Pagliari; Valentino Peluso; Yukai Chen; Andrea Calimera; Enrico Macii; Massimo Poncino (DATE, 2018)

Battery-aware Design Exploration of Scheduling Policies for Multi-sensor Devices. - Yukai Chen; Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (ACM Great Lakes Symposium on VLSI, 2018)

Application-Driven Synthesis of Energy-Efficient Reconfigurable-Precision Operators. - Daniele Jahier Pagliari; Massimo Poncino (ISCAS, 2018)

Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware. - Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (ISLPED, 2018)

LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs. - Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (IEEE Trans. Image Process., 2018)

Design Techniques for Energy-Quality Scalable Digital Systems. - Daniele Jahier Pagliari (2018)

Low-Overhead Power Trace Obfuscation for Smart Meter Privacy. - Daniele Jahier Pagliari; Sara Vinco; Enrico Macii; Massimo Poncino (DAC, 2019)

Irradiance-Driven Partial Reconfiguration of PV Panels. - Daniele Jahier Pagliari; Sara Vinco; Enrico Macii; Massimo Poncino (DATE, 2019)

Dynamic Beam Width Tuning for Energy-Efficient Recurrent Neural Networks. - Daniele Jahier Pagliari; Francesco Panini; Enrico Macii; Massimo Poncino (ACM Great Lakes Symposium on VLSI, 2019)

A Semi-Empirical Model of PV Modules Including Manufacturing I-V Mismatch. - Yukai Chen; Sara Vinco; Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (ICECS, 2019)

Optimal Input-Dependent Edge-Cloud Partitioning for RNN Inference. - Daniele Jahier Pagliari; Roberta Chiaro; Yukai Chen; Enrico Macii; Massimo Poncino (ICECS, 2019)

CNN-Based Camera-less User Attention Detection for Smartphone Power Management. - Daniele Jahier Pagliari; Matteo Ansaldi; Enrico Macii; Massimo Poncino (ISLPED, 2019)

Automated Synthesis of Energy-Efficient Reconfigurable-Precision Circuits. - Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (IEEE Access, 2019)

Fine-Grain Back Biasing for the Design of Energy-Quality Scalable Operators. - Daniele Jahier Pagliari; Yves Durand; David Coriat; Edith Beigné; Enrico Macii; Massimo Poncino (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

A Cross-level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors. - Sara Vinco; Nicola Bombieri; Daniele Jahier Pagliari; Franco Fummi; Enrico Macii; Massimo Poncino (ACM Trans. Design Autom. Electr. Syst., 2019)

Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. - Donkyu Baek; Yukai Chen; Alberto Bocca; Lorenzo Bottaccioli; Santa Di Cataldo; Valentina Gatteschi; Daniele Jahier Pagliari; Edoardo Patti; Gianvito Urgese; Naehyuck Chang; Alberto Macii; Enrico Macii; et al. (IEEE Trans. Veh. Technol., 2019)

Input-Dependent Edge-Cloud Mapping of Recurrent Neural Networks Inference. - Daniele Jahier Pagliari; Roberta Chiaro; Yukai Chen; Sara Vinco; Enrico Macii; Massimo Poncino (DAC, 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)

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)

Modeling and Simulation of Cyber-Physical Electrical Energy Systems With SystemC-AMS. - Yukai Chen; Sara Vinco; Daniele Jahier Pagliari; Paolo Montuschi; Enrico Macii; Massimo Poncino (IEEE Trans. Sustain. Comput., 2020)

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)

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)

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)

ACME: An Energy-Efficient Approximate Bus Encoding for I2C. - Chen Xie; Daniele Jahier Pagliari; Andrea Calimera; Enrico Macii; Massimo Poncino (ISLPED, 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)

Chapter Eight - Energy-efficient deep learning inference on edge devices. - Francesco Daghero; Daniele Jahier Pagliari; Massimo Poncino (Adv. Comput., 2021)

Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools. - Tania Cerquitelli; Daniele Jahier Pagliari; Andrea Calimera; Lorenzo Bottaccioli; Edoardo Patti; Andrea Acquaviva; Massimo Poncino (Proc. IEEE, 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)

CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. - Daniele Jahier Pagliari; Roberta Chiaro; Enrico Macii; Massimo Poncino (IEEE Trans. Computers, 2021)

Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays. - Daniele Jahier Pagliari; Santa Di Cataldo; Edoardo Patti; Alberto Macii; Enrico Macii; Massimo Poncino (IEEE Trans. Emerg. Top. Comput., 2021)

Assessing the Impact of Sensor-Based Task Scheduling on Battery Lifetime in IoT Devices. - Yukai Chen; Wenlong Wang; Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino (IEEE Trans. Instrum. Meas., 2021)

A Microservices-Based Framework for Smart Design and Optimization of PV Installations. - Sara Vinco; Daniele Jahier Pagliari; Lorenzo Bottaccioli; Edoardo Patti; Enrico Macii; Massimo Poncino (IEEE Trans. Sustain. Comput., 2021)

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)

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)

C-NMT: A Collaborative Inference Framework for Neural Machine Translation. - Yukai Chen; Roberta Chiaro; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (ISCAS, 2022)

Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. - Chen Xie; Francesco Daghero; Yukai Chen; Marco Castellano; Luca Gandolfi; Andrea Calimera; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (ISCAS, 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)

Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. - Francesco Daghero; Daniele Jahier Pagliari; Massimo Poncino (PRIME, 2022)

Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference. - Chen Xie; Daniele Jahier Pagliari; Andrea Calimera (PRIME, 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)

A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy. - Veronica Sciannameo; Alessia Goffi; Giuseppe Maffeis; Roberta Gianfreda; Daniele Jahier Pagliari; Tommaso Filippini; Pamela Mancuso; Paolo Giorgi-Rossi; Leonardo Alberto Dal Zovo; Angela Corbari; Marco Vinceti; Paola Berchialla (J. Biomed. Informatics, 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)

Guest Editorial: Thematic Section on Applications of Emerging Computing Technologies in Smart Manufacturing and Industry 4.0. - Daniele Jahier Pagliari; Frank Schirrmeister; Nader Bagherzadeh; Enrico Macii (IEEE Trans. Emerg. Top. Comput., 2022)

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)

Model-Driven Dataset Generation for Data-Driven Battery SOH Models. - Khaled Sidahmed Sidahmed Alamin; Francesco Daghero; Giovanni Pollo; Daniele Jahier Pagliari; Yukai Chen; Enrico Macii; Massimo Poncino; Sara Vinco (ISLPED, 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)

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)

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)

Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. - Chen Xie; Francesco Daghero; Yukai Chen; Marco Castellano; Luca Gandolfi; Andrea Calimera; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (IEEE Internet Things J., 2023)

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)

Model-Driven Feature Engineering for Data-Driven Battery SOH Model. - Khaled Alamin; Daniele Jahier Pagliari; Yukai Chen; Enrico Macii; Sara Vinco; Massimo Poncino (DATE, 2024)

AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. - Giulia Elena Aliffi; Joao Baixinho; Dalibor Barri; Francesco Daghero; Nicola Di Carolo; Gabriele Faraone; Michelangelo Grosso; Daniele Jahier Pagliari; Jiri Jakovenko; Vladimír Janícek; Dario Licastro; Vazgen Melikyan; et al. (DATE, 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)

Machine Learning-based feasibility estimation of digital blocks in BCD technology. - Francesco Daghero; Gabriele Faraone; Michelangelo Grosso; Daniele Jahier Pagliari; Nicola Di Carolo; Giovanna Antonella Franchino; Dario Licastro; Eugenio Serianni (DTTIS, 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)

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization. - Giuseppe Ruggeri; Renzo Andri; Daniele Jahier Pagliari; Lukas Cavigelli (ICCD, 2024)

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

Information extraction from medical case reports using OpenAI InstructGPT. - Veronica Sciannameo; Daniele Jahier Pagliari; Sara Urru; Piercesare Grimaldi; Honoria Ocagli; Sara Ahsani-Nasab; Rosanna Irene Comoretto; Dario Gregori; Paola Berchialla (Comput. Methods Programs Biomed., 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)

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)

Predicting Digital Layout Success in Analog-on-Top Designs Using Machine Learning. - Francesco Daghero; Gabriele Faraone; Eugenio Serianni; Nicola Di Carolo; Dario Licastro; Giovanna Antonella Franchino; Michelangelo Grosso; Daniele Jahier Pagliari (NewCAS, 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)

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)

Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology. - Yukai Chen; Massimiliano Di Todaro; Bjorn Vermeersch; Herman Oprins; Daniele Jahier Pagliari; Julien Ryckaert; Dwaipayan Biswas; James Myers (CoRR, 2025)

Physical Design Exploration of a Wire-Friendly Domain-Specific Processor for Angstrom-Era Nodes. - Lorenzo Ruotolo; Lara Orlandic; Pengbo Yu; Moritz Brunion; Daniele Jahier Pagliari; Dwaipayan Biswas; Giovanni Ansaloni; David Atienza; Julien Ryckaert; Francky Catthoor; Yukai Chen (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)