Paolo Bellavista

Full Professor

University of Bologna

Italy

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Paolo Bellavista is a Full Professor at the University of Bologna, Italy. His research areas encompass reservoir computing, blockchain technologies, big data processing, and Internet of Things (IoT) optimization. He has recently published works on topics including decentralized identifiers, wireless quality improvements in smart factories, and 5G network vulnerabilities, contributing significantly to the advancement of these fields.

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Collaborators (21)

Carlo Mazzocca

Assistant Professor in Tenure Track

University of Salerno

ITALY

Paolo Bellavista

Research Interests

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About

Articles (29)

Reservoir computing for enhanced fidelity in hierarchical digital twin ecosystems

Efficient Parallel Processing of Big Data on Supercomputers for Industrial IoT Environments

VESPACE: A verifiable blockchain-based data space solution to empower the data economy

A Survey on Decentralized Identifiers and Verifiable Credentials

A TSN-Like Slot-Based Scheduler for Improved Wireless Quality and Platoon Formation in Smart Factories

A Cost-Aware Adaptive Bike Repositioning Agent Using Deep Reinforcement Learning

A Tutorial on O-RAN Deployment Solutions for 5G: From Simulation to Emulated and Real Testbeds

CLUES: Community-driven LoRa networks Urban sensing Empowered by Smart homes

Monitoring 5G Core Networks Vulnerabilities with eBPF

PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning

AI and 6G Into the Metaverse: Fundamentals, Challenges and Future Research Trends

SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor

Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems

Enhancing generalization in Federated Learning with heterogeneous data: A comparative literature review

DIVA: A DID-based reputation system for secure transmission in VANETs using IOTA

IoTwins: Implementing Distributed and Hybrid Digital Twins in Industrial Manufacturing and Facility Management Settings

Reversible data hiding of JPEG images based on block sorting and segmented embedding

Joint Optimization of Semi-Passive IRS Phase Shifts and NOMA Power Coefficients for Cooperative CRNs

ODTE: A Metric for Digital Twin Entanglement

RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues

Application-Aware Network Traffic Management in MEC-Integrated Industrial Environments

Efficient Integration of Heterogeneous Mobility-Pollution Big Data for Joint Analytics at Scale with QoS Guarantees

Cooperative Obstacle-Aware Surveillance for Virtual Emotion Intelligence with Low Energy Configuration

TruFLaaS: Trustworthy Federated Learning as a Service

Digital twin oriented architecture for secure and QoS aware intelligent communications in industrial environments

QoS-Aware Fog Node Placement for Intensive IoT Applications in SDN-Fog Scenarios

A mobility-based deployment strategy for edge data centers

IoTwins: Toward Implementation of Distributed Digital Twins in Industry 4.0 Settings

A Virtual Emotion Detection Architecture With Two-Way Enabled Delay Bound toward Evolutional Emotion-Based IoT Services

Collaborators (21)

Carlo Mazzocca

Cesare Stefanelli

Nicolò Romandini

Claudio Fiandrino

Juan M. Murillo

Andrea Sabbioni

Selcuk Uluagac

Mirco Musolesi

Steven Davy

Mohammad Yazdani-Asrami

Hyunbum Kim

Riccardo Venanzi

Javier Berrocal

Antonio Corradi

Rebecca Montanari

Carlo Giannelli

Sunder Ali Khowaja

Victor-Alexandru Darvariu

Marco Picone

Angelo Feraudo

Luca Foschini

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