Means and Roles of Crowdsourcing Vis-À-Vis CrowdFunding for the Creation of Stakeholders Collective Benefits. - Angelo Miglietta; Emanuele Parisi (SocInfo Workshops, 2014)

Polydimethylsiloxane material as hydrophobic and insulating layer in electrowetting-on-dielectric systems. - Davide Caputo; Giampiero de Cesare; N. Lo Vecchio; Augusto Nascetti; Emanuele Parisi; Riccardo Scipinotti (Microelectron. J., 2014)

Thermal control system based on thin film heaters and amorphous silicon diodes. - Nicola Lovecchio; Giulia Petrucci; Domenico Caputo; Samia Alameddine; Matteo Carpentiero; Luca Martini; Emanuele Parisi; Giampiero de Cesare; Augusto Nascetti (IWASI, 2015)

Integration of Amorphous Silicon Photosensors with Thin Film Interferential Filter for Biomolecule Detection. - Domenico Caputo; Emanuele Parisi; Augusto Nascetti; Mario Tucci; Giampiero de Cesare (Sensors, 2016)

Integrated Optoelectronic Device for Detection of Fluorescent Molecules. - Nicola Lovecchio; Francesca Costantini; Emanuele Parisi; Marco Nardecchia; Mario Tucci; Augusto Nascetti; Giampiero de Cesare; Domenico Caputo (IEEE Trans. Biomed. Circuits Syst., 2018)

BioSeqZip: a collapser of NGS redundant reads for the optimization of sequence analysis. - Gianvito Urgese; Emanuele Parisi; Orazio M. Scicolone; Santa Di Cataldo; Elisa Ficarra (Bioinform., 2020)

Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers. - Emanuele Parisi; Francesco Barchi; Andrea Bartolini; Giuseppe Tagliavini; Andrea Acquaviva (DATE, 2021)

Exploration of Convolutional Neural Network models for source code classification. - Francesco Barchi; Emanuele Parisi; Gianvito Urgese; Elisa Ficarra; Andrea Acquaviva (Eng. Appl. Artif. Intell., 2021)

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

Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications. - Nicola Elia; Francesco Barchi; Emanuele Parisi; Livio Pompianu; Salvatore Carta; Andrea Bartolini; Andrea Acquaviva (ADBIS, 2022)

Meet Monte Cimone: exploring RISC-V high performance compute clusters. - Federico Ficarelli; Andrea Bartolini; Emanuele Parisi; Francesco Beneventi; Francesco Barchi; Daniele Gregori; Fabrizio Magugliani; Marco Cicala; Cosimo Gianfreda; Daniele Cesarini; Andrea Acquaviva; Luca Benini (CF, 2022)

Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring. - Emanuele Parisi; Amirhossein Moallemi; Francesco Barchi; Andrea Bartolini; Davide Brunelli; Nicola Buratti; Andrea Acquaviva (MetroInd4.0& IoT, 2022)

Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers. - Andrea Bartolini; Federico Ficarelli; Emanuele Parisi; Francesco Beneventi; Francesco Barchi; Daniele Gregori; Fabrizio Magugliani; Marco Cicala; Cosimo Gianfreda; Daniele Cesarini; Andrea Acquaviva; Luca Benini (SOCC, 2022)

Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping. - Emanuele Parisi; Francesco Barchi; Andrea Bartolini; Andrea Acquaviva (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CF, 2023)

RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor (Invited Paper). - Francesco Barchi; Giacomo Pasini; Emanuele Parisi; Giuseppe Tagliavini; Andrea Bartolini; Andrea Acquaviva (PARMA-DITAM, 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)

Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CoRR, 2023)

Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips. - Emanuele Parisi; Alberto Musa; Maicol Ciani; Francesco Barchi; Davide Rossi; Andrea Bartolini; Andrea Acquaviva (CF, 2024)

TitanCFI: Toward Enforcing Control-Flow Integrity in the Root -of- Trust. - Emanuele Parisi; Alberto Musa; Simone Manoni; Maicol Ciani; Davide Rossi; Francesco Barchi; Andrea Bartolini; Andrea Acquaviva (DATE, 2024)

A PCI Express Based Data Acquisition System for the Monitoring of Code Traces of RISC-V Microprocessors. - Marco Grossi; Simone Manoni; Emanuele Parisi; Martin Omaña 001; Cecilia Metra; Fabrizio Alfonsi; Alessandro Gabrielli; Andrea Acquaviva (ICSRS, 2024)

DeepCodeGraph: A Language Model for Compile-Time Resource Optimization Using Masked Graph Autoencoders. - Federico Cichetti; Emanuele Parisi; Andrea Acquaviva; Francesco Barchi (NLDB (1), 2024)

TitanSSL: Towards Accelerating OpenSSL in a Full RISC-V Architecture Using OpenTitan Root-of-Trust. - Alberto Musa; Franco Volante; Emanuele Parisi; Luca Barbierato; Edoardo Patti; Andrea Bartolini; Andrea Acquaviva; Francesco Barchi (SAFECOMP, 2024)

End-to-end Integration of OpenTitan Security Features in a Pure RISC-V SoC. - Alberto Musa; Emanuele Parisi; Luca Barbierato; Andrea Acquaviva; Francesco Barchi (SMACD, 2024)

Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading. - Maicol Ciani; Emanuele Parisi; Alberto Musa; Francesco Barchi; Andrea Bartolini; Ari Kulmala; Rafail Psiakis; Angelo Garofalo; Andrea Acquaviva; Davide Rossi (CoRR, 2024)

Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning. - Francesco Barchi; Emanuele Parisi; Luca Zanatta; Andrea Bartolini; Andrea Acquaviva (Neural Comput. Appl., 2024)

Integrating OpenTitan as a Security Controller for Cryptographic Tasks in RISC-V SoCs. - Alberto Musa; Emanuele Parisi; Luca Barbierato; Edoardo Patti; Andrea Acquaviva; Francesco Barchi (ITASEC/SERICS, 2025)

Efficient Trace for RISC-V: Design, Evaluation, and Integration in CVA6. - Umberto Laghi; Simone Manoni; Emanuele Parisi; Andrea Bartolini (CoRR, 2025)

TuRTLe: A Unified Evaluation of LLMs for RTL Generation. - Dario Garcia-Gasulla; Gokcen Kestor; Emanuele Parisi; Miquel Albert'i-Binimelis; Cristian Gutierrez; Razine Moundir Ghorab; Orlando Montenegro; Bernat Homs; Miquel Moretó (CoRR, 2025)