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Andrea Bartolini

Assistant Professor

University of Bologna

Italy

Research Interests

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About

Andrea Bartolini is an Assistant Professor at Università degli Studi di Bologna, Italy. His research areas include high-performance computing (HPC), autonomous vehicle technology, and predictive maintenance in industrial IoT systems, demonstrated through his recent publications. Notable works include algorithms for power consumption prediction, attention-based networks for LiDAR inspection, and frameworks for anomaly detection and monitoring in various systems.

Articles (18)

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2026

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2020

Collaborators (8)

Martin Molan

University of Bologna

ITALY

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Davide Brunelli

Full professor

University of Bologna

ITALY

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Ondřej Vysocký

VSB - Technical University of Ostrava

CZECH REPUBLIC

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LUCA BENINI

Professor

Eidgenössische Technische Hochschule Zürich

SWITZERLAND

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ANDREA TILLI

University of Bologna

ITALY

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Andrea ACQUAVIVA

University of Bologna

ITALY

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Alessio Burrello

Collaborator

ETH Zürich

SWITZERLAND

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Davide Rossi

University of Bologna

ITALY

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Andrea Bartolini

Research Interests

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About

Articles (18)

An online algorithm for power consumption prediction of HPC workload

ANZIL: Attention-based network for zero-risk inspection of LiDAR point cloud in self-driving cars

F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems

The REGALE Library: A DDS Interoperability Layer for the HPC PowerStack

ControlPULPlet: A Flexible Real-time Multicore RISC-V Controller for 2.5-D Systems-in-Package

Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading

Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms

LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability

ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems

RUAD: Unsupervised anomaly detection in HPC systems

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

Anomaly Detection and Anticipation in High Performance Computing Systems

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

Application instrumentation for performance analysis and tuning with focus on energy efficiency

COUNTDOWN: A Run-Time Library for Performance-Neutral Energy Saving in MPI Applications

Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications

pAElla: Edge AI-Based Real-Time Malware Detection in Data Centers

Thermal Model Identification of Computing Nodes in High-Performance Computing Systems

Collaborators (8)

Martin Molan

Davide Brunelli

Ondřej Vysocký

LUCA BENINI

ANDREA TILLI

Andrea ACQUAVIVA

Alessio Burrello

Davide Rossi

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