Cyber-Physical and IoT Systems Design · University of Verona

Research interests

Parallel and heterogeneous architectures · Edge computing · Human motion computing · Parallel programming · High-performance computing

Nicola Bombieri is Full Professor at the Department of Engineering for Innovation Medicine of the University of Verona, where he founded and leads PARCO — Parallel Computing. His research focuses on how software and algorithms should be structured when computation has to run efficiently across multi-core CPUs, many-core GPUs, heterogeneous accelerators and resource-constrained edge devices.

A major theme of his work is the development and optimisation of applications under simultaneous performance, power, energy and latency constraints. This spans parallel programming methodologies, workload mapping and scheduling, embedded and edge computing, and techniques for exploiting heterogeneous hardware without treating the underlying architecture as an afterthought. His earlier research also includes electronic design automation, hardware description languages and high-performance simulation.

PARCO’s application work increasingly connects these computing techniques with computer vision and human-motion analysis. Nicola and his collaborators have developed real-time and privacy-aware human pose estimation, gait-analysis systems, motion denoising and completion, and multi-camera sensor-fusion methods intended to run close to the data source. These lines support telemedicine and rehabilitation as well as safe human–robot interaction, linking high-performance and edge computing to concrete cyber-physical applications.

Publications

2022

  1. Integrating Wearable and Camera Based Monitoring in the Digital Twin for Safety Assessment in the Industry 4.0 Era

    Michele Boldo, Nicola Bombieri, Stefano Centomo, Mirco De Marchi, Florenc Demrozi, Graziano Pravadelli, Davide Quaglia, Cristian Turetta

    ISoLA

2021

  1. A Container-based Design Methodology for Robotic Applications on Kubernetes Edge-Cloud architectures

    Francesco Lumpp, Marco Panato, Franco Fummi, Nicola Bombieri

    FDL

  2. A containerized ROS-compliant verification environment for robotic systems

    Stefano Aldegheri, Nicola Bombieri, Samuele Germiniani, Federico Moschin, Graziano Pravadelli

    DATE

  3. A Framework for Optimizing CPU-iGPU Communication on Embedded Platforms

    Francesco Lumpp, Hiren D. Patel, Nicola Bombieri

    DAC

  4. SystemC Implementation of Stochastic Petri Nets for Simulation and Parameterization of Biological Networks

    Nicola Bombieri, Silvia Scaffeo, Antonio Mastrandrea, Simone Caligola, Tommaso Carlucci, Franco Fummi, Carlo Laudanna, Gabriela Constantin, Rosalba Giugno

    ACM Trans. Embed. Comput. Syst.

  5. Task Mapping and Scheduling for OpenVX Applications on Heterogeneous Multi/Many-Core Architectures

    Francesco Lumpp, Stefano Aldegheri, Hiren D. Patel, Nicola Bombieri

    IEEE Trans. Computers

2020

  1. CRISPRitz - rapid, high-throughput and variant-aware in silico off-target site identification for CRISPR genome editing

    Samuele Cancellieri, Matthew C. Canver, Nicola Bombieri, Rosalba Giugno, Luca Pinello

    Bioinform.

  2. Late Breaking Results - Enabling Containerized Computing and Orchestration of ROS-based Robotic SW Applications on Cloud-Server-Edge Architectures

    Stefano Aldegheri, Nicola Bombieri, Franco Fummi, Simone Girardi, Riccardo Muradore, Nicola Piccinelli

    DAC

  3. Mangrove - An Inference-Based Dynamic Invariant Mining for GPU Architectures

    Nicola Bombieri, Federico Busato, Alessandro Danese, Luca Piccolboni, Graziano Pravadelli

    IEEE Trans. Computers

  4. On the Task Mapping and Scheduling for DAG-based Embedded Vision Applications on Heterogeneous Multi/Many-core Architectures

    Stefano Aldegheri, Nicola Bombieri, Hiren D. Patel

    DATE

News

  1. Publication

    Edge-cloud verification for robotic applications

    A 2026 ACM TECS article by Nicola Bombieri, Graziano Pravadelli and collaborators studies edge-cloud orchestration of assertion-based monitors for robotic applications.

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