Francesco Barchi

About Francesco Barchi

Francesco Barchi, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Università degli Studi di Bologna,

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing workplace safety: A flexible approach for personal protective equipment monitoring

Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips

TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust

Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator

A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures

On the Containerization and Orchestration of RISC-V architectures for Edge-Cloud computing

RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project

M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer

Francesco Barchi Information

University

Position

___

Citations(all)

185

Citations(since 2020)

165

Cited By

53

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

4

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Top articles of Francesco Barchi

Enhancing workplace safety: A flexible approach for personal protective equipment monitoring

Expert Systems with Applications

2024/3/15

Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips

arXiv preprint arXiv:2402.10395

2024/2/16

TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust

arXiv preprint arXiv:2401.02567

2024/1/4

Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator

Neurocomputing

2023/12/28

On the Containerization and Orchestration of RISC-V architectures for Edge-Cloud computing

2023/10/17

Francesco Barchi
Francesco Barchi

H-Index: 4

Nicola Bombieri
Nicola Bombieri

H-Index: 12

M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer

Scientific Data

2023/5/18

RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor

2023

Unsupervised Vehicle Classification Using a Structural Health Monitoring System

STRUCTURAL HEALTH MONITORING 2023

2023

Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance

2022/5/17

Francesco Barchi
Francesco Barchi

H-Index: 4

Andrea Bartolini
Andrea Bartolini

H-Index: 22

Meet Monte Cimone: exploring RISC-V high performance compute clusters

2022/5/17

A method for accelerated simulations of reinforcement learning tasks of UAVs in AirSim

2022

Francesco Barchi
Francesco Barchi

H-Index: 4

Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers

2022/9/5

Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications

2022/8/29

Deep Learning Approaches to Source Code Analysis for Optimization of Heterogeneous Systems: Recent Results, Challenges and Opportunities

2022/7/5

Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring

2022/6/7

Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2021/9/22

Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring

Future Internet

2021/8/23

Damage Detection in Structural Health Monitoring with Spiking Neural Networks

2021/6/7

See List of Professors in Francesco Barchi University(Università degli Studi di Bologna)

Co-Authors

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