Distributed video surveillance using hardware-friendly sparse large margin classifiers. - Aliaksei Kerhet; Francesco Leonardi; Andrea Boni; Paolo Lombardo; Michele Magno; Luca Benini (AVSS, 2007)

A low-power wireless video sensor node for distributed object detection. - Aliaksei Kerhet; Michele Magno; Francesco Leonardi; Andrea Boni; Luca Benini (J. Real Time Image Process., 2007)

Reconfiguration Strategies for Environmentally Powered Devices: Theoretical Analysis and Experimental Validation. - Alex E. Susu; Michele Magno; Andrea Acquaviva; David Atienza; Giovanni De Micheli (Trans. High Perform. Embed. Archit. Compil., 2007)

A Solar-powered Video Sensor Node for Energy Efficient Multimodal Surveillance. - Michele Magno; Davide Brunelli; Piero Zappi; Luca Benini (DSD, 2008)

Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems. - Michele Magno; Federico Tombari; Davide Brunelli; Luigi Di Stefano; Luca Benini (AVSS, 2009)

Adaptive power control for solar harvesting multimodal wireless smart camera. - Michele Magno; Davide Brunelli; Lothar Thiele; Luca Benini (ICDSC, 2009)

Energy Efficient Cooperative Multimodal Ambient Monitoring. - Michele Magno; Davide Brunelli; Piero Zappi; Luca Benini (EuroSSC, 2010)

Energy aware multimodal embedded video surveillance. - Michele Magno; Alessandro Lanza; Davide Brunelli; Luigi Di Stefano; Luca Benini (VLSI-SoC, 2010)

Energy-aware objects abandon / removal detection. - Alessandro Lanza; Michele Magno; Davide Brunelli; Luigi Di Stefano; Luca Benini (AVSS, 2011)

Smart power unit with ultra low power radio trigger capabilities for wireless sensor networks. - Michele Magno; Stevan Jovica Marinkovic; Davide Brunelli; Emanuel M. Popovici; Brendan O'Flynn; Luca Benini (DATE, 2012)

Combined methods to extend the lifetime of power hungry WSN with multimodal sensors and nanopower wakeups. - Michele Magno; Stevan Jovica Marinkovic; Davide Brunelli; Luca Benini; Emanuel M. Popovici (IWCMC, 2012)

Analytic comparison of wake-up receivers for WSNs and benefits over the wake-on radio scheme. - Vana Jelicic; Michele Magno; Davide Brunelli; Vedran Bilas; Luca Benini (PM2HW2N@MSWiM, 2012)

A Multi Harvester with Hydrogen Fuel Cell for Outdoor Applications. - Davide Brunelli; Michele Magno; Danilo Porcarelli; Luca Benini (ApplePies, 2013)

Combination of hybrid energy harvesters with MEMS piezoelectric and nano-Watt radio wake up to extend lifetime of system for wireless sensor nodes. - Michele Magno; Nathan Jackson; Alan Mathewson; Luca Benini; Emanuel M. Popovici (ARCS Workshops, 2013)

A survey of multi-source energy harvesting systems. - Alex S. Weddell; Michele Magno; Geoff V. Merrett; Davide Brunelli; Bashir M. Al-Hashimi; Luca Benini (DATE, 2013)

A power-aware multi harvester power unit with hydrogen fuel cell for embedded systems in outdoor applications. - Michele Magno; Danilo Porcarelli; Luca Benini; Davide Brunelli (IGCC, 2013)

Low-power wireless accelerometer-based system for wear detection of bandsaw blades. - Michele Magno; Emanuel M. Popovici; Alessandro Bravin; Antonio Libri; Marco Storace; Luca Benini (INDIN, 2013)

A versatile biomedical wireless sensor node with novel drysurface sensors and energy efficient power management. - Michele Magno; Luca Benini; L. Gaggero; J. P. La Torre Aro; Emanuel M. Popovici (IWASI, 2013)

Power management techniques for Wireless Sensor Networks: A review. - Emanuel M. Popovici; Michele Magno; Stevan Marinkovic (IWASI, 2013)

Demo Abstract: SmartSync; When Toys Meet Wireless Sensor Networks. - Fiona Edwards Murphy; Michele Magno; Aidan Frost; Amy Long; Naomi Corbett; Emanuel M. Popovici (REALWSN, 2013)

Ultra low power asynchronous MAC protocol using wake-up radio for energy neutral WSN. - Trong Nhan Le; Michele Magno; Alain Pegatoquet; Olivier Berder; Olivier Sentieys; Emanuel M. Popovici (ENSSys@SenSys, 2013)

Powering wireless sensor nodes with micro fuel cells. - Michele Magno; Davide Brunelli; Luca Benini; Roberta Giuffrida; Salvatore Leonardi; Andrea Lazzara (ENSSys@SenSys, 2013)

Heterogeneous multi-harvester for wireless sensor networks. - Danilo Porcarelli; Michele Magno; Davide Brunelli; Luca Benini (ENSSys@SenSys, 2013)

Wearable low power dry surface wireless sensor node for healthcare monitoring application. - Michele Magno; Luca Benini; Christian Spagnol; Emanuel M. Popovici (WiMob, 2013)

Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera. - Michele Magno; Federico Tombari; Davide Brunelli; Luigi Di Stefano; Luca Benini (IEEE J. Emerg. Sel. Topics Circuits Syst., 2013)

Video Surveillance Applications Based on Ultra-Low Power Sensors. - Valeria Loscrì; Michele Magno; Rosario Surace (ADHOCNETS, 2014)

InfiniTime: A multi-sensor energy neutral wearable bracelet. - Michele Magno; Danilo Porcarelli; Davide Brunelli; Luca Benini (IGCC, 2014)

A high-sensitivity fully passive wake-up radio front-end for wireless sensor nodes. - Pouya Kamalinejad; Kamyar Keikhosravy; Michele Magno; Shahriar Mirabbasi; Victor C. M. Leung; Luca Benini (ICCE, 2014)

An ultra low power high sensitivity wake-up radio receiver with addressing capability. - Michele Magno; Luca Benini (WiMob, 2014)

Wake-up radio receiver based power minimization techniques for wireless sensor networks: A review. - Michele Magno; Stevan Jovica Marinkovic; Bruno Srbinovski; Emanuel M. Popovici (Microelectron. J., 2014)

A low power wireless node for contact and contactless heart monitoring. - Michele Magno; Christian Spagnol; Luca Benini; Emanuel M. Popovici (Microelectron. J., 2014)

Extended Wireless Monitoring Through Intelligent Hybrid Energy Supply. - Michele Magno; David Boyle 001; Davide Brunelli; Brendan O'Flynn; Emanuel M. Popovici; Luca Benini (IEEE Trans. Ind. Electron., 2014)

Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays. - Michele Magno; David Boyle 001; Davide Brunelli; Emanuel M. Popovici; Luca Benini (IEEE Trans. Ind. Informatics, 2014)

A Smart LED Light Control System for Environmentally Friendly Buildings. - Michele Magno; Tommaso Polonelli; Luca Benini (ApplePies, 2015)

Accelerating real-time embedded scene labeling with convolutional networks. - Lukas Cavigelli; Michele Magno; Luca Benini (DAC, 2015)

Context Aware Power Management Enhanced by Radio Wake Up in Body Area Networks. - Filippo Casamassima; Michele Magno; Elisabetta Farella; Luca Benini (EUC, 2015)

Extending Body Sensor Nodes' Lifetime Using a Wearable Wake-up Radio. - Andres Gomez 001; Michele Magno; Xin Wen; Luca Benini (FABULOUS, 2015)

Development of an heterogeneous wireless sensor network for instrumentation and analysis of beehives. - Fiona Edwards Murphy; Emanuel M. Popovici; Pádraig M. Whelan; Michele Magno (I2MTC, 2015)

Beyond duty cycling: Wake-up radio with selective awakenings for long-lived wireless sensing systems. - Dora Spenza; Michele Magno; Stefano Basagni; Luca Benini; Mario Paoli; Chiara Petrioli (INFOCOM, 2015)

Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch. - Michele Magno; Lukas Cavigelli; Renzo Andri; Luca Benini (IoT 360 (2), 2015)

Towards Internet of Things for event-driven low-power gas sensing using carbon nanotubes. - Vana Jelicic; Michele Magno; Kiran Chikkadi; Cosmin Roman; Christofer Hierold; Vedran Bilas; Luca Benini (IWASI, 2015)

Asynchronous on demand MAC protocol using wake-up radio in wireless body area network. - Trong Nhan Le; Alain Pegatoquet; Michele Magno (IWASI, 2015)

Big brother for bees (3B) - Energy neutral platform for remote monitoring of beehive imagery and sound. - Fiona Edwards Murphy; Michele Magno; Liam O'Leary; Killian Troy; Pádraig M. Whelan; Emanuel M. Popovici (IWASI, 2015)

An Energy Neutral Wearable Camera with EPD Display. - Jetmir Nehani; Davide Brunelli; Michele Magno; Lukas Sigrist; Luca Benini (WearSys@MobiSys, 2015)

Self-powered wireless sensor nodes for monitoring radioactivity in contaminated areas using unmanned aerial vehicles. - Andres Gomez 001; Marie Francine Lagadec; Michele Magno; Luca Benini (SAS, 2015)

b+WSN: Smart beehive for agriculture, environmental, and honey bee health monitoring - Preliminary results and analysis. - Fiona Edwards Murphy; Michele Magno; Pádraig M. Whelan; Emanuel Popo Vici (SAS, 2015)

Energy aware adaptive sampling algorithm for energy harvesting wireless sensor networks. - Bruno Srbinovski; Michele Magno; Brendan O'Flynn; Vikram Pakrashi; Emanuel M. Popovici (SAS, 2015)

A 2.4 GHz-868 MHz dual-band wake-up radio for wireless sensor network and IoT. - Massimo Del Prete; Diego Masotti; Alessandra Costanzo; Michele Magno; Luca Benini (WiMob, 2015)

Dynamic energy burst scaling for transiently powered systems. - Andres Gomez 001; Lukas Sigrist; Michele Magno; Luca Benini; Lothar Thiele (DATE, 2016)

Low-power multichannel spectro-temporal feature extraction circuit for audio pattern wake-up. - Dinko Oletic; Vedran Bilas; Michele Magno; Norbert Felber; Luca Benini (DATE, 2016)

A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication. - Fayçal Ait Aoudia; Michele Magno; Matthieu Gautier; Olivier Berder; Luca Benini (DSD, 2016)

Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols. - Fayçal Ait Aoudia; Michele Magno; Matthieu Gautier; Olivier Berder; Luca Benini (GLOBECOM, 2016)

Evaluation of synchronization protocols for fine-grain HPC sensor data time-stamping and collection. - Antonio Libri; Andrea Bartolini; Michele Magno; Luca Benini (HPCS, 2016)

Poster Abstract: Wake-Up Receivers for Energy Efficient and Low Latency Communication. - Fayçal Ait Aoudia; Michele Magno; Matthieu Gautier; Olivier Berder; Luca Benini (IPSN, 2016)

Poster Abstract: MagoNode++ - A Wake-Up-Radio-Enabled Wireless Sensor Mote for Energy-Neutral Applications. - Mario Paoli; Dora Spenza; Chiara Petrioli; Michele Magno; Luca Benini (IPSN, 2016)

Poster Abstract: An Ultra-Low Power Wake up Radio with Addressing and Retransmission Capabilities for Advanced Energy Efficient MAC Protocols. - Tommaso Polonelli; Michele Magno; Luca Benini (IPSN, 2016)

Poster Abstract: KinetiSee - A Perpetual Wearable Camera Acquisition System with a Kinetic Harvester. - Lorenzo Spadaro; Michele Magno; Luca Benini (IPSN, 2016)

Autonomous smartwatch with flexible sensors for accurate and continuous mapping of skin temperature. - Michele Magno; Giovanni A. Salvatore; Severin Mutter; Waleed Farrukh; Gerhard Tröster; Luca Benini (ISCAS, 2016)

Practical Implementation Aspects of the Data Timed Sending (DTS) Protocol Using Wake-up Radio (WuR). - Konstantin Chomu; Vladimir Atanasovski; Liljana Gavrilovska; Michele Magno (MindCare/Fabulous, 2016)

A wake-up receiver with ad-hoc antenna co-design for wearable applications. - Tommaso Polonelli; Trinh Le Huy; Leonardo Lizzi; Fabien Ferrero; Michele Magno (SAS, 2016)

SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks. - Fayçal Ait Aoudia; Matthieu Gautier; Michele Magno; Olivier Berder; Luca Benini (S-CUBE, 2016)

SHelmet: An Intelligent Self-sustaining Multi Sensors Smart Helmet for Bikers. - Michele Magno; Angelo D'Aloia; Tommaso Polonelli; Lorenzo Spadaro; Luca Benini (S-CUBE, 2016)

Smart LED Lights Control Using Nano-Power Wake Up Radios. - Tommaso Polonelli; Michele Magno (S-CUBE, 2016)

A Dual Processor Energy-Efficient Platform with Multi-core Accelerator for Smart Sensing. - Antonio Pullini; Stefan Mach; Michele Magno; Luca Benini (S-CUBE, 2016)

A dual-band wake-up radio for ultra-low power Wireless Sensor Networks. - Massimo Del Prete; Diego Masotti; Alessandra Costanzo; Michele Magno; Luca Benini (WiSNet, 2016)

b+WSN: Smart beehive with preliminary decision tree analysis for agriculture and honey bee health monitoring. - Fiona Edwards Murphy; Michele Magno; Pádraig M. Whelan; John O'Halloran; Emanuel M. Popovici (Comput. Electron. Agric., 2016)

Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks. - Lukas Cavigelli; Dominic Bernath; Michele Magno; Luca Benini (CoRR, 2016)

An Energy Aware Adaptive Sampling Algorithm for Energy Harvesting WSN with Energy Hungry Sensors. - Bruno Srbinovski; Michele Magno; Fiona Edwards Murphy; Vikram Pakrashi; Emanuel M. Popovici (Sensors, 2016)

InfiniTime: Multi-sensor wearable bracelet with human body harvesting. - Michele Magno; Davide Brunelli; Lukas Sigrist; Renzo Andri; Lukas Cavigelli; Andres Gomez 001; Luca Benini (Sustain. Comput. Informatics Syst., 2016)

Design, Implementation, and Performance Evaluation of a Flexible Low-Latency Nanowatt Wake-Up Radio Receiver. - Michele Magno; Vana Jelicic; Bruno Srbinovski; Vedran Bilas; Emanuel M. Popovici; Luca Benini (IEEE Trans. Ind. Informatics, 2016)

WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication. - Michele Magno; Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder; Luca Benini (DATE, 2017)

Wearable Energy Harvesting: From body to battery. - Michele Magno; David Boyle 001 (DTIS, 2017)

Long-term monitoring of small-sized birds using a miniaturized bluetooth-low-energy sensor node. - Michele Magno; Fabien Vultier; Bence Szebedy; Luca Benini (IEEE SENSORS, 2017)

Powering smart wearable systems with flexible solar energy harvesting. - Petar Jokic; Michele Magno (ISCAS, 2017)

DeepEmote: Towards multi-layer neural networks in a low power wearable multi-sensors bracelet. - Michele Magno; Michael Pritz; Philipp Mayer; Luca Benini (IWASI, 2017)

Target following on nano-scale Unmanned Aerial Vehicles. - Daniele Palossi; Jaskirat Singh; Michele Magno; Luca Benini (IWASI, 2017)

Energy Efficient System for Tactile Data Decoding Using an Ultra-Low Power Parallel Platform. - Michele Magno; Ali Ibrahim; Antonio Pullini; Maurizio Valle; Luca Benini (NGCAS, 2017)

A Low-Complexity Eyewear System for Direction-based Augmented Reality Applications. - Gabriele Miorandi; Davide Quaglia; Federico Fraccaroli; Walter Vendraminetto; Enrico Giordano; Michele Magno (SenSys, 2017)

Energy-Efficient Context Aware Power Management with Asynchronous Protocol for Body Sensor Network. - Michele Magno; Tommaso Polonelli; Filippo Casamassima; Andres Gomez 001; Elisabetta Farella; Luca Benini (Mob. Networks Appl., 2017)

Kinetic AC/DC Converter for Electromagnetic Energy Harvesting in Autonomous Wearable Devices. - Robin Bolt; Michele Magno; Thomas Burger; Aldo Romani; Luca Benini (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Accelerated Visual Context Classification on a Low-Power Smartwatch. - Francesco Conti 001; Daniele Palossi; Renzo Andri; Michele Magno; Luca Benini (IEEE Trans. Hum. Mach. Syst., 2017)

A Generic Framework for Modeling MAC Protocols in Wireless Sensor Networks. - Fayçal Ait Aoudia; Matthieu Gautier; Michele Magno; Olivier Berder; Luca Benini (IEEE/ACM Trans. Netw., 2017)

Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array. - Xiaying Wang; Michele Magno; Lukas Cavigelli; Mufti Mahmud; Claudia Cecchetto; Stefano Vassanelli; Luca Benini (BioCAS, 2018)

A Self-Sustaining Micro-Watt Programmable Smart Audio Sensor for Always-On Sensing. - Michele Magno; Philipp Mayer; Luca Benini (IGSC, 2018)

Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor. - Xiaying Wang; Michele Magno; Lukas Cavigelli; Mufti Mahmud; Claudia Cecchetto; Stefano Vassanelli; Luca Benini (HealthCom, 2018)

Time-frequency pattern wake-up detector for low-power always-on sensing of acoustic events. - Dinko Oletic; Luka Korman; Michele Magno; Vedran Bilas (I2MTC, 2018)

Nanowatt Wake-Up Radios: Discrete-Components and Integrated Architectures. - Alessia Maria Elgani; Michele Magno; Francesco Renzini; Luca Perilli; Eleonora Franchi Scarselli; Antonio Gnudi; Roberto Canegallo; Giulio Ricotti; Luca Benini (ICECS, 2018)

Combining LoRa and RTK to achieve a high precision self-sustaining geo-localization system: poster abstract. - Michele Magno; Stefan Rickli; Josefine Quack; Oliver Brunecker; Luca Benini (IPSN, 2018)

Zero-power receiver for touch communication and touch sensing: poster abstract. - Raphael Strebel; Michele Magno (IPSN, 2018)

Smart Wearable Wristband for EMG based Gesture Recognition Powered by Solar Energy Harvester. - Victor Javier Kartsch; Simone Benatti; Mattia Mancini; Michele Magno; Luca Benini (ISCAS, 2018)

An accurate system for optimal state estimation of a levitated nanoparticle. - Michael Jost 003; Michael Schaffner; Michele Magno; Matthias Korb; Luca Benini; René Reimann; Vijay Jain; Michael Gross; Andrei Militaru; Martin Frimmer; Lukás Novotný (SAS, 2018)

Combining microbial fuel cell and ultra-low power event-driven audio detector for zero-power sensing in underwater monitoring. - Philipp Mayer; Michele Magno; Luca Benini (SAS, 2018)

On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver. - Rajeev Piyare; Amy L. Murphy; Michele Magno; Luca Benini (WiMob, 2018)

KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs. - Rajeev Piyare; Amy L. Murphy; Michele Magno; Luca Benini (WiMob, 2018)

An Energy Efficient E-Skin Embedded System for Real-Time Tactile Data Decoding. - Michele Magno; Ali Ibrahim; Antonio Pullini; Maurizio Valle; Luca Benini (J. Low Power Electron., 2018)

Selected Articles from the NGCAS 2017 Conference. - Maurizio Valle; Ali Ibrahim; Maurizio Martina; Michele Magno (J. Low Power Electron., 2018)

Long-short range communication network leveraging LoRa™ and wake-up receiver. - Fayçal Ait Aoudia; Matthieu Gautier; Michele Magno; Mickaël Le Gentil; Olivier Berder; Luca Benini (Microprocess. Microsystems, 2018)

Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks. - Fayçal Ait Aoudia; Matthieu Gautier; Michele Magno; Olivier Berder; Luca Benini (Sensors, 2018)

On-Demand LoRa: Asynchronous TDMA for Energy Efficient and Low Latency Communication in IoT. - Rajeev Piyare; Amy L. Murphy; Michele Magno; Luca Benini (Sensors, 2018)

Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments. - Andrin Caviezel; Michael Schaffner; Lukas Cavigelli; Pascal Niklaus; Yves Bühler; Perry Bartelt; Michele Magno; Luca Benini (IEEE Trans. Instrum. Meas., 2018)

ZeroPowerTouch: Zero-Power Smart Receiver for Touch Communication and Sensing in Wearable Applications. - Philipp Mayer; Raphael Strebel; Michele Magno (DATE, 2019)

EdgeEye: A Long-Range Energy-Efficient Vision Node For Long-Term Edge Computing. - Simon Benninger; Michele Magno; Andres Gomez 001; Luca Benini (IGSC, 2019)

Low Power Embedded Gesture Recognition Using Novel Short-Range Radar Sensors. - Manuel Eggimann; Jonas Erb; Philipp Mayer; Michele Magno; Luca Benini (IEEE SENSORS, 2019)

Experimental Evaluation on NB-IoT and LoRaWAN for Industrial and IoT Applications. - Massimo Ballerini; Tommaso Polonelli; Davide Brunelli; Michele Magno; Luca Benini (INDIN, 2019)

An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications. - Mario Osta; Ali Ibrahim; Michele Magno; Manuel Eggimann; Antonio Pullini; Paolo Gastaldo; Maurizio Valle (ISCAS, 2019)

NETWIS: A Scalable and Robust Body Sensor Network For Biomedical Application. - Massimo Ballerini; Michele Magno; Davide Brunelli; Guido Cornai; Luca Benini (IWASI, 2019)

A RISC-V Based Open Hardware Platform for Always-On Wearable Smart Sensing. - Manuel Eggimann; Stefan Mach; Michele Magno; Luca Benini (IWASI, 2019)

LoRa vs. LoRa: In-Field Evaluation and Comparison For Long-Lifetime Sensor Nodes. - Philipp Mayer; Michele Magno; Thomas Brunner; Luca Benini (IWASI, 2019)

Wireless Power Transmission Powering Miniaturized Low Power IoT devices: A Revie. - Louis Meile; Anja Ulrich; Michele Magno (IWASI, 2019)

Energy-autonomous On-rotor RPM Sensor Using Variable Reluctance Energy Harvesting. - Ye Xu; Sebastian Bader 002; Michele Magno; Philipp Mayer; Bengt Oelmann (IWASI, 2019)

Piepser: A Smart Wrist-Worn Variometer To Maximize The Paragliders Flytime. - Tim Fischer 001; Michael Ganz; Nicolas Baumann; Michele Magno (SAS, 2019)

Hidden Markov Model-Based Asthmatic Wheeze Recognition Algorithm Leveraging the Parallel Ultra-Low-Power Processor (PULP). - Dinko Oletic; Marko Matijascic; Vedran Bilas; Michele Magno (SAS, 2019)

SmartAid: A Low-Power Smart Hearing Aid For Stutterers. - Moritz Scherer 001; Kiran Menachery; Michele Magno (SAS, 2019)

TinyBird: An Energy Neutral Acoustic Bluetooth-Low-Energy Sensor Node with RF Energy Harvesting. - Oliver Brunecker; Michele Magno (ENSsys@SenSys, 2019)

Energy Harvesting Meets IoT: Fuelling Adoption of Transient Computing in Embedded Systems. - Domenico Balsamo; Michele Magno; Kacper Kubara; Bogdan Lazarescu; Geoff V. Merrett (WF-IoT, 2019)

FANNCortexM: An Open Source Toolkit for Deployment of Multi-layer Neural Networks on ARM Cortex-M Family Microcontrollers : Performance Analysis with Stress Detection. - Michele Magno; Lukas Cavigelli; Philipp Mayer; Ferdinand von Hagen; Luca Benini (WF-IoT, 2019)

EmbedUWB: Low Power Embedded High-Precision and Low Latency UWB Localization. - Philipp Mayer; Michele Magno; Christoph Schnetzler; Luca Benini (WF-IoT, 2019)

Self-Sustainable Smart Ring for Long-Term Monitoring of Blood Oxygenation. - Michele Magno; Giovanni A. Salvatore; Petar Jokic; Luca Benini (IEEE Access, 2019)

HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data. - Xiaying Wang; Lukas Cavigelli; Manuel Eggimann; Michele Magno; Luca Benini (CoRR, 2019)

SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring. - Michele Magno; Lukas Sigrist; Andres Gomez 001; Lukas Cavigelli; Antonio Libri; Emanuel M. Popovici; Luca Benini (Sensors, 2019)

FPGA Implementation of a Kalman-Based Motion Estimator for Levitated Nanoparticles. - Jiawei Liao; Michael Jost 003; Michael Schaffner; Michele Magno; Matthias Korb; Luca Benini; Felix Tebbenjohanns; René Reimann; Vijay Jain; Michael Gross; Andrei Militaru; Martin Frimmer; et al. (IEEE Trans. Instrum. Meas., 2019)

Self-Sustaining Acoustic Sensor With Programmable Pattern Recognition for Underwater Monitoring. - Philipp Mayer; Michele Magno; Luca Benini (IEEE Trans. Instrum. Meas., 2019)

A Wake-Up Radio-Based MAC Protocol for Autonomous Wireless Sensor Networks. - Alain Pegatoquet; Trong Nhan Le; Michele Magno (IEEE/ACM Trans. Netw., 2019)

InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting. - Michele Magno; Xiaying Wang; Manuel Eggimann; Lukas Cavigelli; Luca Benini (DATE, 2020)

A Non-invasive Wearable Bioimpedance System to Wirelessly Monitor Bladder Filling. - Markus Reichmuth; Simone Schürle; Michele Magno (DATE, 2020)

Nanowatt Clock and Data Recovery for Ultra-Low Power Wake-Up Based Receivers. - Matteo D'Addato; Alessio Antolini; Francesco Renzini; Alessia Maria Elgani; Luca Perilli; Eleonora Franchi Scarselli; Antonio Gnudi; Michele Magno; Roberto Canegallo (EWSN, 2020)

Opportunistic Cluster Heads for Heterogeneous Networks Combining LoRa and Wake-up Radio. - Nour El Hoda Djidi; Antoine Courtay; Matthieu Gautier; Olivier Berder; Michele Magno (EWSN, 2020)

On the Energy Consumption and Ranging Accuracy of Ultra-Wideband Physical Interfaces. - Laura Flueratoru; Silvan Wehrli; Michele Magno; Dragos Niculescu (GLOBECOM, 2020)

A Low Power and Smart Power Unit for Kinetic Self-Sustainable Wearable Devices. - Philipp Mayer; Michele Magno; Luca Benini (ICECS, 2020)

An Energy-efficient Localization System for Imprecisely Positioned Sensor Nodes with Flying UAVs. - Vlad Niculescu; Michele Magno; Daniele Palossi; Luca Benini (INDIN, 2020)

Sound event detection with binary neural networks on tightly power-constrained IoT devices. - Gianmarco Cerutti; Renzo Andri; Lukas Cavigelli; Elisabetta Farella; Michele Magno; Luca Benini (ISLPED, 2020)

An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing. - Xiaying Wang; Michael Hersche; Batuhan Tömekce; Burak Kaya; Michele Magno; Luca Benini (MeMeA, 2020)

A Battery-Free Long-Range Wireless Smart Camera for Face Detection. - Marco Giordano; Philipp Mayer; Michele Magno (ENSsys@SenSys, 2020)

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. - Xiaying Wang; Michele Magno; Lukas Cavigelli; Luca Benini (IEEE Internet Things J., 2020)

A2Event: A Micro-Watt Programmable Frequency-Time Detector for Always-On Energy-Neutral Sensing. - Philipp Mayer; Michele Magno; Luca Benini (Sustain. Comput. Informatics Syst., 2020)

Wireless, Artefact Aware Impedance Sensor Node for Continuous Bio-Impedance Monitoring. - Kanika S. Dheman; Philipp Mayer; Michele Magno; Simone Schuerle (IEEE Trans. Biomed. Circuits Syst., 2020)

NB-IoT Versus LoRaWAN: An Experimental Evaluation for Industrial Applications. - Massimo Ballerini; Tommaso Polonelli; Davide Brunelli; Michele Magno; Luca Benini (IEEE Trans. Ind. Informatics, 2020)

Piepser 2.0: A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime. - Nicolas Baumann; Michael Ganz; Michele Magno (IEEE Trans. Instrum. Meas., 2020)

FlyDVS: An Event-Driven Wireless Ultra-Low Power Visual Sensor Node. - Alfio Di Mauro; Moritz Scherer 001; Jordi Fornt Mas; Basile Bougenot; Michele Magno; Luca Benini (DATE, 2021)

Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes. - Moritz Scherer 001; Philipp Mayer; Alfio Di Mauro; Michele Magno; Luca Benini (I2MTC, 2021)

WindNode: A Long-Lasting And Long-Range Bluetooth Wireless Sensor Node for Pressure and Acoustic Monitoring on Wind Turbines. - Raphael Fischer 002; Hanna Müller; Tommaso Polonelli; Luca Benini; Michele Magno (ICPS, 2021)

H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing. - Tommaso Polonelli; Lukas Schulthess; Philipp Mayer; Michele Magno; Luca Benini (ISCAS, 2021)

A Battery-Free Long-Range Wireless Smart Camera for Face Recognition. - Marco Giordano; Michele Magno (SenSys, 2021)

RF Power Transmission: Energy Harvesting for Self-Sustaining Miniaturized Sensor Nodes. - Federico Villani; Philipp Mayer; Michele Magno (SenSys, 2021)

Design and Implementation of an RSSI-Based Bluetooth Low Energy Indoor Localization System. - Silvano Cortesi; Marc Dreher; Michele Magno (WiMob, 2021)

Ultra-Low Power Wake-Up Receiver for Location Aware Objects Operating with UWB. - Tommaso Polonelli; Federico Villani; Michele Magno (WiMob, 2021)

High-Accuracy Ranging and Localization with Ultra-Wideband Communications for Energy-Constrained Devices. - Laura Flueratoru; Silvan Wehrli; Michele Magno; Elena Simona Lohan; Dragos Niculescu (CoRR, 2021)

SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications. - Xiaying Wang; Fabian Geiger; Vlad Niculescu; Michele Magno; Luca Benini (CoRR, 2021)

TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars. - Moritz Scherer 001; Michele Magno; Jonas Erb; Philipp Mayer; Manuel Eggimann; Luca Benini (IEEE Internet Things J., 2021)

How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes? - Nour El Hoda Djidi; Matthieu Gautier; Antoine Courtay; Olivier Berder; Michele Magno (Sensors, 2021)

System Implementation Trade-Offs for Low-Speed Rotational Variable Reluctance Energy Harvesters. - Ye Xu; Sebastian Bader 002; Michele Magno; Philipp Mayer; Bengt Oelmann (Sensors, 2021)

ImpediSense: A long lasting wireless wearable bio-impedance sensor node. - Kanika S. Dheman; Philipp Mayer; Manuel Eggimann; Simone Schuerle; Michele Magno (Sustain. Comput. Informatics Syst., 2021)

Energy-Positive Activity Recognition - From Kinetic Energy Harvesting to Smart Self-Sustainable Wearable Devices. - Philipp Mayer; Michele Magno; Luca Benini (IEEE Trans. Biomed. Circuits Syst., 2021)

RTK-LoRa: High-Precision, Long-Range, and Energy-Efficient Localization for Mobile IoT Devices. - Philipp Mayer; Michele Magno; Armin Berger; Luca Benini (IEEE Trans. Instrum. Meas., 2021)

Tiny TCN model for Gesture Recognition With Multi-point Low power ToF-Sensors. - Stephan Boner; Christian Vogt 002; Michele Magno (AICAS, 2022)

Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge. - Marco Giordano; Luigi Piccinelli; Michele Magno (AICAS, 2022)

Neuromorphic Event-Based Spatio-temporal Attention using Adaptive Mechanisms. - Amélie Gruel; Antonio Vitale; Jean Martinet; Michele Magno (AICAS, 2022)

Real-Time Low Power Audio Distortion Circuit Modeling: a TinyML Deep Learning Approach. - Davide Plozza; Marco Giordano; Michele Magno (AICAS, 2022)

Enabling Predictive Maintenance on Electric Motors Through a Self-sustainable Wireless Sensor Node. - Andrea Bentivogli; Tommaso Polonelli; Michele Magno; Guido Comai (ApplePies, 2022)

A RDMA Interface for Ultra-Fast Ultrasound Data-Streaming over an Optical Link. - Andrea Cossettini; Konstantin Taranov; Christian Vogt 002; Michele Magno; Torsten Hoefler; Luca Benini (DATE, 2022)

Survey, Analysis and Comparison of Radar Technologies for Embedded Vital Sign Monitoring. - Marco Giordano; Gamze Islamoglu; Viviane Potocnik; Christian Vogt 002; Michele Magno (EMBC, 2022)

Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices. - Sizhen Bian; Xiaying Wang; Tommaso Polonelli; Michele Magno (IGSC, 2022)

Towards a Multi-Pixel Time-of-Flight Indoor Navigation System for Nano-Drone Applications. - Vlad Niculescu; Hanna Müller; Iman Ostovar; Tommaso Polonelli; Michele Magno; Luca Benini (I2MTC, 2022)

Predictive Energy-Aware Adaptive Sampling with Deep Reinforcement Learning. - Seonyeong Heo; Philipp Mayer; Michele Magno (ICECS 2022, 2022)

RF Power Transmission for Self-sustaining Miniaturized IoT Devices. - Lukas Schulthess; Federico Villani; Philipp Mayer; Michele Magno (ICECS 2022, 2022)

Realtime Hand-Gesture Recognition Based on Novel Charge Variation Sensor and IMU. - Elio Reinschmidt; Christian Vogt 002; Michele Magno (IEEE SENSORS, 2022)

Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT. - Andrea Ronco; Lukas Schulthess; David Zehnder; Michele Magno (IEEE SENSORS, 2022)

A Low Power Infrared Sensor for Direction, Speed, Distance Finding for Contextual Intelligence. - Tiago Salzmann; Michele Magno (IEEE SENSORS, 2022)

Demo Abstract: Towards Reliable Obstacle Avoidance for Nano-UAVs. - Iman Ostovar; Vlad Niculescu; Hanna Müller; Tommaso Polonelli; Michele Magno; Luca Benini (IPSN, 2022)

Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation. - Jonas Kühne; Michele Magno; Luca Benini (ISCAS, 2022)

Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS. - Carla Amatetti; Tommaso Polonelli; Enea Masina; Charles Moatti; Denis Mikhaylov; Davide Amato; Alessandro Vanelli-Coralli; Michele Magno; Luca Benini (SAS, 2022)

Towards lightweight deep neural network for smart agriculture on embedded systems. - Pengwei Du; Tommaso Polonelli; Michele Magno; Zhiyuan Cheng 009 (SAS, 2022)

Automatic Extraction of Muscle Fascicle Pennation Angle from Raw Ultrasound Data. - Soley Hafthorsdottir; Sergei Vostrikov; Andrea Cossettini; Michael Rieder; Christoph Leitner; Michele Magno; Luca Benini (SAS, 2022)

Self-sustainable IoT Wireless Sensor Node for Predictive Maintenance on Electric Motors. - Tommaso Polonelli; Andrea Bentivogli; Guido Comai; Michele Magno (SAS, 2022)

Performance Comparison between Decawave DW1000 and DW3000 in low-power double side ranging applications. - Tommaso Polonelli; Simon Schläpfer; Michele Magno (SAS, 2022)

Cardiac monitoring with novel low power sensors measuring upper thoracic electrostatic charge variation for long lasting wearable devices. - Kanika S. Dheman; David Werder; Michele Magno (WiMob, 2022)

WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance. - Moritz Scherer 001; Fabian Sidler; Michael Rogenmoser; Michele Magno; Luca Benini (WiMob, 2022)

VitalPod: A Low Power In-Ear Vital Parameter Monitoring System. - Philipp Schilk; Kanika S. Dheman; Michele Magno (WiMob, 2022)

TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach. - Edoardo Ghignone; Nicolas Baumann; Mike Boss; Michele Magno (CoRR, 2022)

Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines. - Tommaso Polonelli; Hanna Müller; Weikang Kong; Raphael Fischer 002; Luca Benini; Michele Magno (CoRR, 2022)

Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization. - Philipp Mayer; Michele Magno; Luca Benini (CoRR, 2022)

High-Accuracy Ranging and Localization With Ultrawideband Communications for Energy-Constrained Devices. - Laura Flueratoru; Silvan Wehrli; Michele Magno; Elena Simona Lohan; Dragos Niculescu (IEEE Internet Things J., 2022)

Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes. - Vlad Niculescu; Daniele Palossi; Michele Magno; Luca Benini (Sustain. Comput. Informatics Syst., 2022)

An open platform for efficient drone-to-sensor wireless ranging and data harvesting. - Tommaso Polonelli; Michele Magno; Vlad Niculescu; Luca Benini; David E. Boyle (Sustain. Comput. Informatics Syst., 2022)

Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. - Gianmarco Cerutti; Lukas Cavigelli; Renzo Andri; Michele Magno; Elisabetta Farella; Luca Benini (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Design and Performance Evaluation of an Ultralow-Power Smart IoT Device With Embedded TinyML for Asset Activity Monitoring. - Marco Giordano; Nicolas Baumann; Michele Crabolu; Raphael Fischer 002; Giovanni Bellusci; Michele Magno (IEEE Trans. Instrum. Meas., 2022)

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications. - Xiaying Wang; Fabian Geiger; Vlad Niculescu; Michele Magno; Luca Benini (IEEE Trans. Instrum. Meas., 2022)

Considerations when automating the assessment and guidance of Project Work (invited paper). - Victoria Abou Khalil; Andrew Vargo; Rwitajit Majumdar; Michele Magno; Manu Kapur (AAGPW@AIED, 2023)

Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform. - Amélie Gruel; Alfio Di Mauro; Robin Hunziker; Luca Benini; Jean Martinet; Michele Magno (AICAS, 2023)

TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. - Julian Moosmann; Marco Giordano; Christian Vogt 002; Michele Magno (AICAS, 2023)

KP2Dtiny: Quantized Neural Keypoint Detection and Description on the Edge. - Thomas Rüegg; Marco Giordano; Michele Magno (AICAS, 2023)

Automated Assessment and Guidance of Project Work. - Victoria Abou Khalil; Andrew Vargo; Rwitajit Majumdar; Michele Magno; Manu Kapur (AIED (Posters/Late Breaking Results/...), 2023)

Towards a Novel Ultrasound System Based on Low-Frequency Feature Extraction From a Fully-Printed Flexible Transducer. - Marco Giordano; Kirill Keller; Francesco Greco; Luca Benini; Michele Magno; Christoph Leitner (BioCAS, 2023)

Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping. - Lukas Schulthess; Thorir Mar Ingolfsson; Marc Nölke; Michele Magno; Luca Benini; Christoph Leitner (BioCAS, 2023)

Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs. - Hanna Müller; Nicky Zimmerman; Tommaso Polonelli; Michele Magno; Jens Behley; Cyrill Stachniss; Luca Benini (DATE, 2023)

Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices. - Marco Giordano; Silvano Cortesi; Prodromos-Vasileios Mekikis; Michele Crabolu; Giovanni Bellusci; Michele Magno (ENSsys@SenSys, 2023)

A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations. - Lukas Schulthess; Fabrice Longchamp; Christian Vogt 002; Michele Magno (ENSsys@SenSys, 2023)

Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture. - Seonyeong Heo; Nicolas Baumann; Carla Margelisch; Marco Giordano; Michele Magno (I2MTC, 2023)

Coverage Guaranteed Cooperative MIMO Formation for Underwater MI-Assisted Acoustic WSNs. - Qingyan Ren; Yanjing Sun; Michele Magno (ICC, 2023)

Learning continuous piecewise non-linear activation functions for deep neural networks. - Xinchen Gao; Yawei Li 001; Wen Li 001; Lixin Duan; Luc Van Gool; Luca Benini; Michele Magno (ICME, 2023)

Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing. - Jonathan Becker; Nadine Imholz; Luca Schwarzenbach; Edoardo Ghignone; Nicolas Baumann; Michele Magno (ICRA, 2023)

TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. - Pietro Bonazzi; Thomas Rüegg; Sizhen Bian; Yawei Li 001; Michele Magno (SENSORS, 2023)

Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. - Liam Boyle; Nicolas Baumann; Seonyeong Heo; Michele Magno (SENSORS, 2023)

Towards Enhanced Bladder Volume Measurement with Context-Aware Bio-Impedance Sensor Fusion. - Kanika S. Dheman; Manuel Glahn; Michele Magno (SENSORS, 2023)

Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes. - Jonah Imfeld; Silvano Cortesi; Philipp Mayer; Michele Magno (SENSORS, 2023)

Ultra-Wideband Technology: Unlocking the Potential of Low Power IoT with Precise Localization and Energy-Efficient Wake-Up Radio. - Michele Magno (SENSORS, 2023)

Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images. - Julian Moosmann; Jakub Mandula; Philipp Mayer; Luca Benini; Michele Magno (SENSORS, 2023)

Simultaneous neuromorphic selection of multiple salient objects for event vision. - Amélie Gruel; Jean Martinet; Michele Magno (IJCNN, 2023)

Poster Abstract: Contactless Vital Sign Monitoring using Low-Power FMCW Radar. - Steven Marty; Kanika S. Dheman; Michele Magno (IoTDI, 2023)

Poster Abstract: A Human Body Power Transfer System to Enable Battery-Less Sensor Nodes. - Rabea Rogge; Lukas Schulthess; Christian Vogt 002; Michele Magno (IoTDI, 2023)

In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. - Philipp Schilk; Niccolò Polvani; Andrea Ronco; Milos Cernak; Michele Magno (IoTDI, 2023)

Demo Abstract: In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. - Philipp Schilk; Niccolò Polvani; Andrea Ronco; Milos Cernak; Michele Magno (IoTDI, 2023)

Poster Abstract: Battery-free and Passive Wake-up Receiver for Underwater Communication. - Lukas Schulthess; Philipp Mayer; Michele Magno (IoTDI, 2023)

Poster Abstract: A LoRa-based Energy-Efficient Sensing System for Urban Computing. - Lukas Schulthess; Tiago Salzmann; Christian Vogt 002; Michele Magno (IoTDI, 2023)

LocalViT: Analyzing Locality in Vision Transformers. - Yawei Li 001; Kai Zhang 008; Jiezhang Cao; Radu Timofte; Michele Magno; Luca Benini; Luc Van Gool (IROS, 2023)

A Relative Infrastructure-less Localization Algorithm for Decentralized and Autonomous Swarm Formation. - Dominik Schindler; Vlad Niculescu; Tommaso Polonelli; Daniele Palossi; Luca Benini; Michele Magno (IROS, 2023)

ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. - Georg Rutishauser; Robin Hunziker; Alfio Di Mauro; Sizhen Bian; Luca Benini; Michele Magno (ISCAS, 2023)

TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification. - Lukas Schulthess; Steven Marty; Matilde Dirodi; Mariana D. Rocha; Linus Rüttimann; Richard H. R. Hahnloser; Michele Magno (ISCAS, 2023)

Evaluating Spiking Neural Network on Neuromorphic Platform For Human Activity Recognition. - Sizhen Bian; Michele Magno (ISWC, 2023)

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. - Sizhen Bian; Lukas Schulthess; Georg Rutishauser; Alfio Di Mauro; Luca Benini; Michele Magno (IWASI, 2023)

Towards Wearable Sweat Sensing for Glucose and Lactate: Sensors Characterisation. - Kanika S. Dheman; Alkinoos Sariglou; Michele Magno (IWASI, 2023)

A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications. - Jonas Kühne; Michele Magno; Luca Benini (IWASI, 2023)

Design and Evaluation of a LoRa Controlled Rugged Multisensor Unit for Induced Rockfall Experiments. - Philipp Mayer; Rabea Rogge; Andrin Caviezel; Jessica Munch; Adrian Ringenbach; Michele Magno; Luca Benini (IWASI, 2023)

Towards Robust and Efficient On-board Mapping for Autonomous Miniaturized UAVs. - Tommaso Polonelli; Casimir Feldmann; Vlad Niculescu; Hanna Müller; Michele Magno; Luca Benini (IWASI, 2023)

Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar. - Andrea Ronco; Nicolas Baumann; Marco Giordano; Michele Magno (IWASI, 2023)

A LoRa-based Energy-efficient Sensing System for Urban Data Collection. - Lukas Schulthess; Tiago Salzmann; Christian Vogt 002; Michele Magno (IWASI, 2023)

Towards Model Development for Sensor-Based Activity Recognition at the Construction Site. - Carla Tettamanti; Marco Giordano; Julia Altheimer; Lukas Linhart; Michele Magno (IWASI, 2023)

Blade Position and Motion Estimation on the Surface of a Rotating Wind Turbine Through a Single MEMS IMU. - Phillip Trummer; Tommaso Polonelli; Julien Deparday; Imad Abdallah; Michele Magno (IWASI, 2023)

Investigation of mmWave Radar Technology For Non-contact Vital Sign Monitoring. - Steven Marty; Federico Pantanella; Andrea Ronco; Kanika S. Dheman; Michele Magno (MeMeA, 2023)

Fully Automatic Gym Exercises Recording: An IoT Solution. - Sizhen Bian; Alexander Rupp; Michele Magno (MetroInd4.0&IoT, 2023)

3D Hand Tracking with Induced Magnetic Field. - Sizhen Bian; Bo Zhou 005; Paul Lukowicz; Mengxi Liu; Michele Magno; Kexuan Guo (PerCom Workshops, 2023)

Improving Data-Scarce Image Classification Through Multimodal Synthetic Data Pretraining. - Carl Brander; Cristian Cioflan; Vlad Niculescu; Hanna Müller; Tommaso Polonelli; Michele Magno; Luca Benini (SAS, 2023)

Grayscale and Event-Based Sensor Fusion for Robust Steering Prediction for Self-Driving Cars. - Luca Pascarella; Michele Magno (SAS, 2023)

A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation. - Matthias Steiner; Nicolas Baumann; Luzian Lebovitz; Michele Magno (SAS, 2023)

Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices. - Marco Giordano; Silvano Cortesi; Michele Crabolu; Lavinia Pedrollo; Giovanni Bellusci; Tommaso Bendinelli; Engin Türetken; L. Andrea Dunbar; Michele Magno (WF-IoT, 2023)

Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study. - Michael Lötscher; Nicolas Baumann; Edoardo Ghignone; Andrea Ronco; Michele Magno (WF-IoT, 2023)

Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks. - Andrea Mattei; Moritz Scherer 001; Cristian Cioflan; Michele Magno; Luca Benini (WF-IoT, 2023)

Advancing Freight Train Integrity Monitoring for Next-Generation Railway Signaling Using UWB Ranging. - Denis Mikhaylov; Fu Zheng; Philipp Mayer; Christian Vogt 002; Tommaso Polonelli; Michele Magno (WF-IoT, 2023)

Latency and Power Consumption in 2.4GHz IoT Wireless Mesh Nodes: An Experimental Evaluation of Bluetooth Mesh and Wirepas Mesh. - Silvano Cortesi; Christian Vogt 002; Elio Reinschmidt; Michele Magno (WiMob, 2023)

A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines. - Tommaso Polonelli; Amirhossein Moallemi; Weikang Kong; Hanna Müller; Julien Deparday; Michele Magno; Luca Benini (IEEE Access, 2023)

Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. - Julian Moosmann; Hanna Müller; Nicky Zimmerman; Georg Rutishauser; Luca Benini; Michele Magno (CoRR, 2023)

Latency and Power Consumption in 2.4 GHz IoT Wireless Mesh Nodes: An Experimental Evaluation of Bluetooth Mesh and Wirepas Mesh. - Silvano Cortesi; Christian Vogt 002; Elio Reinschmidt; Michele Magno (CoRR, 2023)

A Low-Power Neuromorphic Approach for Efficient Eye-Tracking. - Pietro Bonazzi; Sizhen Bian; Giovanni Lippolis; Yawei Li 001; Sadique Sheik; Michele Magno (CoRR, 2023)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. - Pietro Bonazzi; Julian Moosmann; Yawei Li 001; Sizhen Bian; Michele Magno (CoRR, 2023)

A Unified Sensor Platform for Investigating Corona Effects on Overhead Lines. - Pascal Bleuler; Tommaso Polonelli; Yu Xiao; Benjamin Stadler; Lorenz Gallina; Hannah Kirchner; Michele Magno; Christian M. Franck (IEEE Trans. Instrum. Meas., 2023)

Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node. - Tobias Margiani; Silvano Cortesi; Milena Keller; Christian Vogt 002; Tommaso Polonelli; Michele Magno (IEEE Trans. Instrum. Meas., 2023)

Toward the Future Generation of Railway Localization Exploiting RTK and GNSS. - Denis Mikhaylov; Carla Amatetti; Tommaso Polonelli; Enea Masina; Riccardo Campana; Kai Berszin; Charles Moatti; Davide Amato; Alessandro Vanelli-Coralli; Michele Magno; Luca Benini (IEEE Trans. Instrum. Meas., 2023)

Efficient Inference With Model Cascades. - Luzian Lebovitz; Lukas Cavigelli; Michele Magno; Lorenz K. Müller (Trans. Mach. Learn. Res., 2023)

TC-Driver: A Trajectory Conditioned Reinforcement Learning Approach to Zero-Shot Autonomous Racing. - Edoardo Ghignone; Nicolas Baumann; Michele Magno (Field Robotics, 2023)

Comparison between an RSSI- and an MCPD-Based BLE Indoor Localization System. - Silvano Cortesi; Christian Vogt 002; Michele Magno (Comput., 2023)

Towards the Future Generation of Railway Localization Exploiting RTK and GNSS. - Denis Mikhaylov; Carla Amatetti; Tommaso Polonelli; Enea Masina; Riccardo Campana; Kai Berszin; Davide Amato; Alessandro Vanelli-Coralli; Michele Magno; Luca Benini (Zenodo, 2023)

Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV. - Vlad Niculescu; Daniele Palossi; Michele Magno; Luca Benini (IEEE Internet Things J., 2023)

Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines. - Tommaso Polonelli; Julien Deparday; Imad Abdallah; Sarah Barber; Eleni N. Chatzi; Michele Magno (IEEE Instrum. Meas. Mag., 2023)

Robust and Efficient Depth-Based Obstacle Avoidance for Autonomous Miniaturized UAVs. - Hanna Müller; Vlad Niculescu; Tommaso Polonelli; Michele Magno; Luca Benini (IEEE Trans. Robotics, 2023)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. - Pietro Bonazzi; Yawei Li 001; Sizhen Bian; Michele Magno (AICAS, 2024)

Noise Analysis and Modeling of the PMD Flexx2 Depth Camera for Robotic Applications. - Yuke Cai; Davide Plozza; Steven Marty; Paul Joseph; Michele Magno (COINS, 2024)

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware. - Pietro Bonazzi; Sizhen Bian; Giovanni Lippolis; Yawei Li 001; Sadique Sheik; Michele Magno (CVPR Workshops, 2024)

Robustness Evaluation of Localization Techniques for Autonomous Racing. - Tian Yi Lim; Edoardo Ghignone; Nicolas Baumann; Michele Magno (DATE, 2024)

Work in Progress: Linear Transformers for TinyML. - Moritz Scherer 001; Cristian Cioflan; Michele Magno; Luca Benini (DATE, 2024)

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. - Julian Moosmann; Pietro Bonazzi; Yawei Li 001; Sizhen Bian; Philipp Mayer; Luca Benini; Michele Magno (ECCV Workshops (23), 2024)

i-Flow: Design and evaluation of a wearable uroflowmeter with non-invasive low power bio-impedance sensing. - Kanika S. Dheman; Manuel Glahn; Michele Magno (EMBC, 2024)

CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics. - Victor Luder; Sizhen Bian; Michele Magno (I2MTC, 2024)

Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. - Jakub Mandula; Jonas Kühne; Luca Pascarella; Michele Magno (I2MTC, 2024)

A -79 dBm μ-Watt Wake-Up Receiver for Energy Efficient ISM and LoRa Communication. - Tommaso Polonelli; Vlad Niculescu; Thomas Burger; Michele Magno (I2MTC, 2024)

Towards a non-Invasive Monitoring System for Wind Turbine Blades. - Nicolas Scharer; Tommaso Polonelli; Julien Deparday; Michele Magno (I2MTC, 2024)

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. - Wei Huang 042; Yangdong Liu; Haotong Qin; Ying Li; Shiming Zhang; Xianglong Liu 001; Michele Magno; Xiaojuan Qi 001 (ICML, 2024)

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. - Haotong Qin; Xudong Ma; Xingyu Zheng; Xiaoyang Li; Yang Zhang 088; Shouda Liu; Jie Luo 004; Xianglong Liu 001; Michele Magno (ICML, 2024)

Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans. - Nicky Zimmerman; Hanna Müller; Michele Magno; Luca Benini (ICRA, 2024)

i-CardiAx: Wearable IoT-Driven System for Early Sepsis Detection Through Long-Term Vital Sign Monitoring. - Kanika S. Dheman; Marco Giordano; Cyriac Thomas; Philipp Schilk; Michele Magno (IoTDI, 2024)

TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars. - Andrea Ronco; Philipp Schilk; Michele Magno (IoTDI, 2024)

SwiftEagle: An Advanced Open-Source, Miniaturized FPGA UAS Platform with Dual DVS/Frame Camera for Cutting-Edge Low-Latency Autonomous Algorithms. - Christian Vogt 002; Michael Jost 003; Michele Magno (IROS, 2024)

CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking. - Nicolas Baumann; Michael Baumgartner; Edoardo Ghignone; Jonas Kühne; Tobias Fischer 004; Yung-Hsu Yang; Marc Pollefeys; Michele Magno (IROS, 2024)

A 36nW Ultra-Wideband Wake-Up Receiver with -86dBm Sensitivity and Addressing Capabilities. - Federico Villani; Enea Masina; Thomas Burger; Michele Magno (ISCAS, 2024)

On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. - Sizhen Bian; Pixi Kang; Julian Moosmann; Mengxi Liu; Pietro Bonazzi; Roman Rosipal; Michele Magno (ISWC, 2024)

AI-Based Multi-Wavelength PPG Device for Blood Pressure Monitoring. - Chiara Botrugno; Kanika S. Dheman; Pietro Bonazzi; Francesco Dell'Olio; Michele Magno (MeMeA, 2024)

Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. - Konstantin Kalenberg; Hanna Müller; Tommaso Polonelli; Alberto Schiaffino; Vlad Niculescu; Cristian Cioflan; Michele Magno; Luca Benini (Zenodo, 2024)

Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. - Julian Moosmann; Hanna Müller; Nicky Zimmerman; Georg Rutishauser; Luca Benini; Michele Magno (IEEE Access, 2024)

ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware. - Nicolas Baumann; Edoardo Ghignone; Jonas Kühne; Niklas Bastuck; Jonathan Becker; Nadine Imholz; Tobias Kränzlin; Tian Yi Lim; Michael Lötscher; Luca Schwarzenbach; Luca Tognoni; Christian Vogt 002; et al. (CoRR, 2024)

BatDeck: Advancing Nano-drone Navigation with Low-power Ultrasound-based Obstacle Avoidance. - Hanna Müller; Victor Javier Kartsch; Michele Magno; Luca Benini (CoRR, 2024)

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. - Wei Huang 042; Xudong Ma; Haotong Qin; Xingyu Zheng; Chengtao Lv; Hong Chen 014; Jie Luo 004; Xiaojuan Qi 001; Xianglong Liu 001; Michele Magno (CoRR, 2024)

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. - Wei Huang 042; Haotong Qin; Yangdong Liu; Yawei Li 001; Xianglong Liu 001; Luca Benini; Michele Magno; Xiaojuan Qi 001 (CoRR, 2024)

A Passive and Asynchronous Wake-up Receiver for Acoustic Underwater Communication. - Lukas Schulthess; Philipp Mayer; Luca Benini; Michele Magno (CoRR, 2024)

Low Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs. - Jonas Kühne; Michele Magno; Luca Benini (CoRR, 2024)

Ultra-Lightweight Collaborative Mapping for Robot Swarms. - Vlad Niculescu; Tommaso Polonelli; Michele Magno; Luca Benini (CoRR, 2024)

On-Device Training Empowered Transfer Learning For Human Activity Recognition. - Pixi Kang; Julian Moosmann; Sizhen Bian; Michele Magno (CoRR, 2024)

SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning. - Marco Giordano; Kanika S. Dheman; Michele Magno (CoRR, 2024)

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. - Ruihao Gong; Yifu Ding; Zining Wang; Chengtao Lv; Xingyu Zheng; Jinyang Du; Haotong Qin; Jinyang Guo; Michele Magno; Xianglong Liu 001 (CoRR, 2024)

DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units. - Liam Boyle; Julian Moosmann; Nicolas Baumann; Seonyeong Heo; Michele Magno (CoRR, 2024)

GWQ: Gradient-Aware Weight Quantization for Large Language Models. - Yihua Shao; Siyu Liang; Xiaolin Lin; Zijian Ling; Zixian Zhu; Minxi Yan; Haiyang Liu; Siyu Chen; Ziyang Yan; Yilan Meng; Chenyu Zhang; Haotong Qin; et al. (CoRR, 2024)

BatDeck - Ultra Low-power Ultrasonic Ego-velocity Estimation and Obstacle Avoidance on Nano-drones. - Hanna Müller; Victor Javier Kartsch; Michele Magno; Luca Benini (CoRR, 2024)

Autonomous Navigation in Dynamic Human Environments with an Embedded 2D LiDAR-based Person Tracker. - Davide Plozza; Steven Marty; Cyril Scherrer; Simon Schwartz; Stefan Zihlmann; Michele Magno (CoRR, 2024)

Frequency Matters: Comparative Analysis of Low-Power FMCW Radars for Vital Sign Monitoring. - Steven Marty; Andrea Ronco; Federico Pantanella; Kanika S. Dheman; Michele Magno (IEEE Trans. Instrum. Meas., 2024)

A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation. - Sergei Vostrikov; Thorir Mar Ingolfsson; Soley Hafthorsdottir; Christoph Leitner; Michele Magno; Luca Benini; Andrea Cossettini (IEEE Trans. Instrum. Meas., 2024)

An empirical study of LLaMA3 quantization: from LLMs to MLLMs. - Wei Huang 042; Xingyu Zheng; Xudong Ma; Haotong Qin; Chengtao Lv; Hong Chen 014; Jie Luo 004; Xiaojuan Qi 001; Xianglong Liu 001; Michele Magno (Vis. Intell., 2024)

Self-Sustaining Ultrawideband Positioning System for Event-Driven Indoor Localization. - Philipp Mayer; Michele Magno; Luca Benini (IEEE Internet Things J., 2024)

Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. - Sizhen Bian; Mengxi Liu; Bo Zhou 005; Paul Lukowicz; Michele Magno (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. - Vlad Niculescu; Tommaso Polonelli; Michele Magno; Luca Benini (IEEE Internet Things J., 2024)

Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. - Konstantin Kalenberg; Hanna Müller; Tommaso Polonelli; Alberto Schiaffino; Vlad Niculescu; Cristian Cioflan; Michele Magno; Luca Benini (IEEE Internet Things J., 2024)

Fully Onboard SLAM for Distributed Mapping With a Swarm of Nano-Drones. - Carl Friess; Vlad Niculescu; Tommaso Polonelli; Michele Magno; Luca Benini (IEEE Internet Things J., 2024)

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. - Weilun Feng; Haotong Qin; Chuanguang Yang; Zhulin An; Libo Huang; Boyu Diao; Fei Wang 014; Renshuai Tao; Yongjun Xu 001; Michele Magno (AAAI, 2025)

GP-enhanced Autonomous Drifting Framework using ADMM-based iLQR. - Yangyang Xie; Cheng Hu; Nicolas Baumann; Edoardo Ghignone; Michele Magno; Lei Xie 007 (ACC, 2025)

Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone. - Pietro Bonazzi; Christian Vogt 002; Michael Jost 003; Lyes Khacef; Federico Paredes-Vallés; Michele Magno (CVPR Workshops, 2025)

A Low-Power, Non-Invasive and Contactless Eye Blink Detection Sensor Enabling Human-Machine Interfaces for Smart Eyewear Applications. - Daniele Maria Crafa; Tommaso Polonelli; Carlo Pezzoli; Marco Carminati; Michele Magno (ETRA, 2025)

Smart Feeding Station: Non-Invasive, Automated IoT Monitoring of Goodman's Mouse Lemurs in a Semi-Natural Rainforest Habitat. - Jonas Peter; Victor Luder; Leyla Rivero Davis; Lukas Schulthess; Michele Magno (I2MTC, 2025)

BodySense: An Expandable and Wearable-Sized Wireless Evaluation Platform for Human Body Communication. - Lukas Schulthess; Philipp Mayer; Christian Vogt 002; Luca Benini; Michele Magno (I2MTC, 2025)

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models. - Xingyu Zheng; Xianglong Liu 001; Haotong Qin; Xudong Ma; Mingyuan Zhang; Haojie Hao; Jiakai Wang; Zixiang Zhao; Jinyang Guo; Michele Magno (ICLR, 2025)

LynX: An Event-Based Gesture Dataset for Egocentric Interaction in Extended Reality. - Pietro Bartoli; Varsha Jayaprakash; Julian Moosmann; Philipp Mayer; Franco Zappa; Michele Magno (IWASI, 2025)

Validation of a Hybrid Deep Learning Model for Real Time Monitoring of Blood Pressure. - Chiara Botrugno; Kanika S. Dheman; Pietro Bonazzi; Giulio Trono; Pasquale Tondo; Vincenzo Scarola; Donato Lacedonia; Michele Magno; Francesco Dell'Olio (IWASI, 2025)

Sub-Millisecond Event-Based Eye Tracking on a Resource-Constrained Microcontroller. - Marco Giordano; Pietro Bonazzi; Luca Benini; Michele Magno (IWASI, 2025)

EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization. - Benjamin Hodo; Tommaso Polonelli; Amirhossein Moallemi; Luca Benini; Michele Magno (IWASI, 2025)

AniTrack: A Power-Efficient, Time-Slotted and Robust UWB Localization System for Animal Tracking in a Controlled Setting. - Victor Luder; Lukas Schulthess; Silvano Cortesi; Leyla Rivero Davis; Michele Magno (IWASI, 2025)

An IoT Sensor Platform for Predictive Maintenance of High Voltage Circuit Breakers. - Zoltán Marcsek; Tino Gfrörer; Tommaso Polonelli; Chi-Ching Hsu; Michele Magno; Christian M. Franck (IWASI, 2025)

Embedded 2D LiDAR-Based Person Tracking for Safe Navigation in Assistive Autonomous Robots. - Davide Plozza; Steven Marty; Cyril Scherrer; Simon Schwartz; Stefan Zihlmann; Michele Magno (IWASI, 2025)

Pushing Wi-Fi HaLow to the Extreme Edge: A Performance Study on a Low-Power IoT Node. - Nicolas Scharer; Tommaso Polonelli; Michele Magno (IWASI, 2025)

WakeMod: A 6.9 µW Wake-Up Radio Module with -72.6 dBm Sensitivity for On-Demand IoT. - Lukas Schulthess; Silvano Cortesi; Michele Magno (IWASI, 2025)

DTR: Delaunay Triangulation-based Racing for Scaled Autonomous Racing. - Luca Tognoni; Neil Reichlin; Edoardo Ghignone; Nicolas Baumann; Steven Marty; Liam Boyle; Michele Magno (IWASI, 2025)

A Cost-effective Occupancy Estimation System for Energy-efficient Buildings in Africa. - Godwin Adordie; Denis Kyalo Muuo; Philipp Schilk; Lukas Schulthess; Nathan Amanquah; Michele Magno (SAS, 2025)

TinyEEGConformer: An Attention-Based EEG Decoding Model for Embedded Systems. - Nana Ofosu Asante; Lan Mei; Xiaying Wang; Michele Magno (SAS, 2025)

CUPIDO: An Analog Ultra-Low-Power and Contactless Eye Blink Detector for Smart Glasses. - Daniele M. Crafa; Tommaso Polonelli; Marco Carminati; Michele Magno (SAS, 2025)

Energy-Neutral Ultra-Wideband Asset Tracking Tag for Museums. - Jonah Imfeld; Philipp Mayer; Zahra Soltani; Sanjeev Kumar; John L. Buckley; Brendan O'Flynn; Michele Magno (SAS, 2025)

Self-Sustaining Multi-Sensor LoRa-Based Activity Monitoring for Community Workout Parks. - Victor Luder; Michele Magno (SAS, 2025)

A Small Flying IoT Node for Real-Time Spectral Monitoring in Smart Agriculture. - Tobias Mächler; Hanna Müller; Philip Wiese; Michele Magno; Victor Javier Kartsch; Luca Benini (SAS, 2025)

Towards Event-Driven Aerodynamic Monitoring of Wind Turbine Blades Using PVDF and MEMS Sensors. - Lisa Odermatt; Nicolas Scharer; Tommaso Polonelli; Julien Deparday; Michele Magno (SAS, 2025)

Position Estimation Algorithms for Head-Mounted UWB Tags: A Comparative Analysis for Embedded Systems. - Aurelio Teliti; Tommaso Polonelli; Francesca Palermo; Giacomo Gervasoni; Michele Magno; Diana Trojaniello (SAS, 2025)

Efficient Continual Learning in Keyword Spotting using Binary Neural Networks. - Quynh Nguyen Phuong Vu; Luciano Sebastian Martínez Rau; Yuxuan Zhang 005; Nho-Duc Tran; Bengt Oelmann; Michele Magno; Sebastian Bader 002 (SAS, 2025)

Ultra-Lightweight Collaborative SLAM for Robot Swarms. - Vlad Niculescu; Tommaso Polonelli; Michele Magno; Luca Benini (IEEE Access, 2025)

A Proximity-Based Approach for Dynamically Matching Industrial Assets and Their Operators Using Low-Power IoT Devices. - Silvano Cortesi; Michele Crabolu; Prodromos-Vasileios Mekikis; Giovanni Bellusci; Christian Vogt 002; Michele Magno (IEEE Internet Things J., 2025)

Optimized Blood Pressure Prediction With a Hybrid CNN-SVR Model Using Multiwavelength PPG. - Chiara Botrugno; Kanika S. Dheman; Pietro Bonazzi; Francesco Dell'Olio; Michele Magno (IEEE Trans. Instrum. Meas., 2025)

Optimizing Energy Consumption and Coverage in Underwater Magnetic Induction-Assisted Acoustic WSNs Using Learning Automata-Based Cooperative MIMO Formation. - Qingyan Ren; Yanjing Sun; Sizhen Bian; Michele Magno (IEEE Trans. Netw. Sci. Eng., 2025)

RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms. - Edoardo Ghignone; Nicolas Baumann; Cheng Hu; Jonathan Wang; Lei Xie 007; Andrea Carron; Michele Magno (CoRR, 2025)

Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction. - Nicolas Baumann; Edoardo Ghignone; Cheng Hu; Benedict Hildisch; Tino Hämmerle; Alessandro Bettoni; Andrea Carron; Lei Xie 007; Michele Magno (IEEE Robotics Autom. Lett., 2025)

Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute. - Onur Dikici; Edoardo Ghignone; Cheng Hu; Nicolas Baumann; Lei Xie 007; Andrea Carron; Michele Magno; Matteo Corno (IEEE Robotics Autom. Lett., 2025)

FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions. - Cheng Hu; Jihao Huang; Wule Mao; Yonghao Fu; Xuemin Chi; Haotong Qin; Nicolas Baumann; Zhitao Liu; Michele Magno; Lei Xie 007 (CoRR, 2025)

TinyCenterSpeed: Efficient Center-Based Object Detection for Autonomous Racing. - Neil Reichlin; Nicolas Baumann; Edoardo Ghignone; Michele Magno (CoRR, 2025)

Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models. - Nicolas Baumann; Cheng Hu; Paviththiren Sivasothilingam; Haotong Qin; Lei Xie 007; Michele Magno; Luca Benini (CoRR, 2025)

WakeLoc: An Ultra-Low Power, Accurate and Scalable On-Demand RTLS using Wake-Up Radios. - Silvano Cortesi; Christian Vogt 002; Michele Magno (CoRR, 2025)

An Empirical Study of Qwen3 Quantization. - Xingyu Zheng; Yuye Li; Haoran Chu; Yue Feng; Xudong Ma; Jie Luo 004; Jinyang Guo; Haotong Qin; Michele Magno; Xianglong Liu 001 (CoRR, 2025)

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning. - Liam Boyle; Nicolas Baumann; Paviththiren Sivasothilingam; Michele Magno; Luca Benini (CoRR, 2025)

RGB-Event Fusion with Self-Attention for Collision Prediction. - Pietro Bonazzi; Christian Vogt 002; Michael Jost 003; Haotong Qin; Lyes Khacef; Federico Paredes-Vallés; Michele Magno (CoRR, 2025)

Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing. - Benedict Hildisch; Edoardo Ghignone; Nicolas Baumann; Cheng Hu; Andrea Carron; Michele Magno (CoRR, 2025)

Robust Reinforcement Learning-Based Locomotion for Resource-Constrained Quadrupeds with Exteroceptive Sensing. - Davide Plozza; Patricia Apostol; Paul Joseph; Simon Schläpfer; Michele Magno (CoRR, 2025)

WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT. - Lukas Schulthess; Silvano Cortesi; Michele Magno (CoRR, 2025)

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers. - Weilun Feng; Chuanguang Yang; Haotong Qin; Xiangqi Li; Yu Wang; Zhulin An; Libo Huang; Boyu Diao; Zixiang Zhao; Yongjun Xu 001; Michele Magno (CoRR, 2025)

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding. - Haotong Qin; Cheng Hu; Michele Magno (CoRR, 2025)

R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing. - Maurice Brunner; Edoardo Ghignone; Nicolas Baumann; Michele Magno (CoRR, 2025)

Q-SAM2: Accurate Quantization for Segment Anything Model 2. - Nicola Farronato; Florian Scheidegger; Mattia Rigotti; Cristiano Malossi; Michele Magno; Haotong Qin (CoRR, 2025)

Post-Training Quantization for Video Matting. - Tianrui Zhu; Houyuan Chen; Ruihao Gong; Michele Magno; Haotong Qin; Kai Zhang 008 (CoRR, 2025)

M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing. - Nadine Imholz; Maurice Brunner; Nicolas Baumann; Edoardo Ghignone; Michele Magno (CoRR, 2025)

PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications. - Pietro Bonazzi; Nicola Farronato; Stefan Zihlmann; Haotong Qin; Michele Magno (CoRR, 2025)

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation. - Weilun Feng; Chuanguang Yang; Haotong Qin; Yuqi Li; Xiangqi Li; Zhulin An; Libo Huang; Boyu Diao; Fuzhen Zhuang; Michele Magno; Yongjun Xu 001; Yingli Tian; et al. (CoRR, 2025)

BiVM: Accurate Binarized Neural Network for Efficient Video Matting. - Haotong Qin; Xianglong Liu 001; Xudong Ma; Lei Ke; Yulun Zhang 001; Jie Luo 004; Michele Magno (CoRR, 2025)

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. - Xingyu Zheng; Haotong Qin; Yuye Li; Jiakai Wang; Jinyang Guo; Michele Magno; Xianglong Liu 001 (CoRR, 2025)

Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input. - Yonghao Fu; Cheng Hu; Haokun Xiong; Zhangpeng Bao; Wenyuan Du; Edoardo Ghignone; Michele Magno; Lei Xie 007; Hongye Su (CoRR, 2025)

Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow. - Liam Boyle; Jonas Kühne; Nicolas Baumann; Niklas Bastuck; Michele Magno (IEEE Robotics Autom. Lett., 2025)

S2Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation. - Weilun Feng; Haotong Qin; Chuanguang Yang; Xiangqi Li; Han Yang; Yuqi Li; Zhulin An; Libo Huang; Michele Magno; Yongjun Xu 001 (CoRR, 2025)

Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning. - Pixi Kang; Julian Moosmann; Mengxi Liu; Bo Zhou 005; Michele Magno; Paul Lukowicz; Sizhen Bian (CoRR, 2025)