Massimo Poncino

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 127

Top Venues

CoRR

DATE

ISLPED

ACM Great Lakes Symposium on VLSI

Publications

Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CF (Companion) (2024)
Beatrice Alessandra Motetti, Matteo Risso, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. CoRR (2024)
Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. CoRR (2024)
Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR (2024)
Khaled Alamin, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Sara Vinco, Massimo Poncino
Model-Driven Feature Engineering for Data-Driven Battery SOH Model. DATE (2024)
Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CoRR (2024)
Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. DATE (2024)
Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. IEEE Internet Things J. 11 (1) (2024)
Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello
Foundation Models for Structural Health Monitoring. CoRR (2024)
Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR (2024)
Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. DATE (2023)
Matteo Orlando, Lorenzo Bottaccioli, Stefano Quer, Massimo Poncino, Sara Vinco, Edoardo Patti
A Framework for Economic and Environmental Benefit Through Renewable Energy Community. IEEE Syst. J. 17 (4) (2023)
Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco
Model-Driven Dataset Generation for Data-Driven Battery SOH Models. ISLPED (2023)
Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. CoRR (2023)
Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. IEEE Internet Things J. 10 (15) (2023)
Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. Sensors 23 (4) (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED (2023)
Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. CoRR (2023)
Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR (2023)
Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. IEEE Trans. Computers 72 (3) (2023)
Young Hoo Cho, Donkyu Baek, Yukai Chen, Min Jae Jung, Sara Vinco, Enrico Macii, Massimo Poncino
Multi-Criteria Coordinated Electric Vehicle-Drone Hybrid Delivery Service Planning. IEEE Trans. Veh. Technol. 72 (5) (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR (2023)
Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. CoRR (2023)
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. CoRR (2022)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
Robust and Energy-efficient PPG-based Heart-Rate Monitoring. CoRR (2022)
Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors. CoRR (2022)
Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. CoRR (2022)
Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21 (4) (2022)
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. IGSC (2022)
Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. PRIME (2022)
Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. CoRR (2022)
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. CoRR (2022)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. CoRR (2022)
Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. CoRR (2022)
Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. CoRR (2022)
Matteo Orlando, Abouzar Estebsari, Enrico Pons, Marco Pau, Stefano Quer, Massimo Poncino, Lorenzo Bottaccioli, Edoardo Patti
A Smart Meter Infrastructure for Smart Grid IoT Applications. IEEE Internet Things J. 9 (14) (2022)
Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices. CoRR (2022)
Alessio Burrello, Daniele Jahier Pagliari, Marzia Bianco, Enrico Macii, Luca Benini, Massimo Poncino, Simone Benatti
Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data. BioCAS (2022)
Nicola Dall'Ora, Khaled Alamin, Enrico Fraccaroli, Massimo Poncino, Davide Quaglia, Sara Vinco
Digital Transformation of a Production Line: Network Design, Online Data Collection and Energy Monitoring. IEEE Trans. Emerg. Top. Comput. 10 (1) (2022)
Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. ISCAS (2022)
Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring. CoRR (2022)
Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. ISCAS (2022)
Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. COINS (2022)
Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. DATE (2022)
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. ISLPED (2022)
Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. ACM Trans. Comput. Heal. 3 (2) (2022)
Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. CoRR (2022)
Alessio Burrello, Giovanni Zara, Luca Benini, Davide Brunelli, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning. Sustain. Comput. Informatics Syst. 35 (2022)
Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. CoRR (2022)
Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. CoRR (2022)
Davide Cannizzaro, Filomena Simone, Klaus Illgner-Fehns, Sara Mata, Ivan Mondino, Alberto Ghiazza, Massimo Poncino, Santa Di Cataldo
Quality inspection of critical aircraft engine components: towards full automation. ETFA (2022)
Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. CoRR (2022)
Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. CoRR (2022)
Matteo Orlando, Lorenzo Bottaccioli, Sara Vinco, Enrico Macii, Massimo Poncino, Edoardo Patti
Design of District-level Photovoltaic Installations for Optimal Power Production and Economic Benefit. COMPSAC (2021)
Daniele Jahier Pagliari, Santa Di Cataldo, Edoardo Patti, Alberto Macii, Enrico Macii, Massimo Poncino
Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. VLSI-SoC (Selected Papers) (2021)
Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. IEEE Trans. Biomed. Circuits Syst. 15 (6) (2021)
Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino
C. ISLPED (2021)
Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. VLSI-SoC (2021)
Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. ISLPED (2021)
Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino
Ultra-compact binary neural networks for human activity recognition on RISC-V processors. CF (2021)
Khaled Alamin, Sara Vinco, Massimo Poncino, Nicola Dall'Ora, Enrico Fraccaroli, Davide Quaglia
Digital Twin Extension with Extra-Functional Properties. DATE (2021)
Sara Vinco, Daniele Jahier Pagliari, Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Massimo Poncino
A Microservices-Based Framework for Smart Design and Optimization of PV Installations. IEEE Trans. Sustain. Comput. 6 (4) (2021)
Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
Chapter Eight - Energy-efficient deep learning inference on edge devices. Adv. Comput. 122 (2021)
Yukai Chen, Wenlong Wang, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Assessing the Impact of Sensor-Based Task Scheduling on Battery Lifetime in IoT Devices. IEEE Trans. Instrum. Meas. 70 (2021)
Tania Cerquitelli, Daniele Jahier Pagliari, Andrea Calimera, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Massimo Poncino
Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools. Proc. IEEE 109 (4) (2021)
Daniele Jahier Pagliari, Roberta Chiaro, Enrico Macii, Massimo Poncino
CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. IEEE Trans. Computers 70 (10) (2021)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. ISCAS (2021)
Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Syst. Appl. 182 (2021)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. DAC (2021)
Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino
Input-Dependent Edge-Cloud Mapping of Recurrent Neural Networks Inference. DAC (2020)
Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Paolo Montuschi, Enrico Macii, Massimo Poncino
Modeling and Simulation of Cyber-Physical Electrical Energy Systems With SystemC-AMS. IEEE Trans. Sustain. Comput. 5 (4) (2020)
Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. ICECS (2020)
Sara Vinco, Yukai Chen, Enrico Macii, Massimo Poncino
A Diode-Aware Model of PV Modules from Datasheet Specifications. DATE (2020)
Valerio Tenace, Andrea Calimera, Enrico Macii, Massimo Poncino
Logic Synthesis of Pass-Gate Logic Circuits With Emerging Ambipolar Technologies. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (2) (2020)
Matteo Orlando, Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Sara Vinco, Massimo Poncino
Optimal Configuration and Placement of PV Systems in Building Roofs with Cost Analysis. COMPSAC (2020)
Alessio Burrello, Daniele Jahier Pagliari, Andrea Bartolini, Luca Benini, Enrico Macii, Massimo Poncino
Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks. Euro-Par Workshops (2020)
Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino
Irradiance-Driven Partial Reconfiguration of PV Panels. DATE (2019)
Sara Vinco, Nicola Bombieri, Daniele Jahier Pagliari, Franco Fummi, Enrico Macii, Massimo Poncino
A Cross-level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors. ACM Trans. Design Autom. Electr. Syst. 24 (3) (2019)
Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino
Low-Overhead Power Trace Obfuscation for Smart Meter Privacy. DAC (2019)
Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
A Semi-Empirical Model of PV Modules Including Manufacturing I-V Mismatch. ICECS (2019)
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, Paolo Montuschi, Massimo Poncino
Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. IEEE Trans. Veh. Technol. 68 (6) (2019)
Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Enrico Macii, Massimo Poncino
Optimal Input-Dependent Edge-Cloud Partitioning for RNN Inference. ICECS (2019)
Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino
SystemC-AMS Thermal Modeling for the Co-simulation of Functional and Extra-Functional Properties. ACM Trans. Design Autom. Electr. Syst. 24 (1) (2019)
Yukai Chen, Donkyu Baek, Jaemin Kim, Santa Di Cataldo, Naehyuck Chang, Enrico Macii, Sara Vinco, Massimo Poncino
A SystemC-AMS Framework for the Design and Simulation of Energy Management in Electric Vehicles. IEEE Access 7 (2019)
Daniele Jahier Pagliari, Francesco Panini, Enrico Macii, Massimo Poncino
Dynamic Beam Width Tuning for Energy-Efficient Recurrent Neural Networks. ACM Great Lakes Symposium on VLSI (2019)
Donkyu Baek, Yukai Chen, Enrico Macii, Massimo Poncino, Naehyuck Chang
Battery-Aware Electric Truck Delivery Route Planner. ISLPED (2019)
Daniele Jahier Pagliari, Matteo Ansaldi, Enrico Macii, Massimo Poncino
CNN-Based Camera-less User Attention Detection for Smartphone Power Management. ISLPED (2019)
Daniele Jahier Pagliari, Yves Durand, David Coriat, Edith Beigné, Enrico Macii, Massimo Poncino
Fine-Grain Back Biasing for the Design of Energy-Quality Scalable Operators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (6) (2019)
Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Automated Synthesis of Energy-Efficient Reconfigurable-Precision Circuits. IEEE Access 7 (2019)
Yukai Chen, Enrico Macii, Massimo Poncino
Empirical derivation of upper and lower bounds of NBTI aging for embedded cores. Microelectron. Reliab. 80 (2018)
Sara Vinco, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Enrico Macii, Massimo Poncino
GIS-based optimal photovoltaic panel floorplanning for residential installations. DATE (2018)
Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware. ISLPED (2018)
Yukai Chen, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Battery-aware Design Exploration of Scheduling Policies for Multi-sensor Devices. ACM Great Lakes Symposium on VLSI (2018)
Alberto Bocca, Yukai Chen, Alberto Macii, Enrico Macii, Massimo Poncino
Aging and Cost Optimal Residential Charging for Plug-In EVs. IEEE Des. Test 35 (6) (2018)
Sara Vinco, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Massimo Poncino
A Compact PV Panel Model for Cyber-Physical Systems in Smart Cities. ISCAS (2018)
Alberto Bocca, Yukai Chen, Alberto Macii, Massimo Poncino
Fundamental Feature Extraction of the Battery Charge Phase from Product Data. ISCAS (2018)
Donkyu Baek, Yukai Chen, Alberto Bocca, Alberto Macii, Enrico Macii, Massimo Poncino
Battery-Aware Energy Model of Drone Delivery Tasks. ISLPED (2018)
Daniele Jahier Pagliari, Valentino Peluso, Yukai Chen, Andrea Calimera, Enrico Macii, Massimo Poncino
All-digital embedded meters for on-line power estimation. DATE (2018)
Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs. IEEE Trans. Image Process. 27 (9) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Massimo Poncino