CV

I am a Blockchain Systems & Digital Assets Engineer with a PhD in Blockchain & DLT, focused on distributed systems, blockchain benchmarking, reproducible experimentation, protocol evaluation, data analysis, and digital-asset infrastructures.

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My work combines distributed systems research, experimental methodology, blockchain infrastructure evaluation, and data-driven analysis. During my PhD, I designed and used reproducible benchmarking pipelines to study how blockchain systems behave under different workloads, network topologies, and operational conditions.

I am particularly interested in performance and latency evaluation, energy efficiency, repeatability, performance predictability, protocol analytics, digital-asset and CBDC-related infrastructures, and research engineering practices that make experimental results easier to reproduce and compare.

I am open to engineering, R&D, data, research, and hybrid roles where rigorous experimentation, distributed systems knowledge, and blockchain/digital-asset expertise can support practical technical decisions.

Education

PhD in Blockchain & Distributed Ledger Technology

Università di Camerino, Italy

2022–2025

Dissertation focused on comparing blockchain systems across performance, energy, repeatability, predictability, and economic-efficiency dimensions. Research included topology-aware benchmarking, reproducible experimentation, workload design, network emulation, and statistical analysis of blockchain system behavior.
Open thesis page Open PDF

Open thesis page Open thesis PDF UNICAM repository

MSc in ICT Solutions Architect

Università di Pisa, Italy

2019–2022

Graduate studies focused on ICT architectures, software systems, networks, security, and technical design of digital infrastructures.
Open thesis page Open PDF

BSc in Computer Systems and Network Security

Università degli Studi di Milano, Italy

2015–2019

Foundation in computer systems, operating systems, networks, cybersecurity, programming, and technical problem solving.
Open bachelor thesis PDF

Certifications

Blockchain for Business Certificate

SUPSI / USI / Franklin University Switzerland / City of Lugano

2023

Professional certificate focused on blockchain applications, business use cases, digital-asset-related innovation, and the connection between blockchain technologies, institutions, and real-world business contexts.

Research & Engineering Experience

Blockchain Benchmarking & Distributed Systems Research

PhD research and related publications

Designed, executed, and analyzed reproducible blockchain experiments across multiple platforms, workloads, and network conditions. Evaluated throughput, latency, energy usage, variability, repeatability, and performance predictability under controlled experimental settings. Recent outputs include an ACM DLT journal article on topology-aware blockchain performance evaluation.

Lilith – A Topology-Aware Blockchain Benchmarking Framework

Research artifact and experimental toolchain

Built a benchmarking framework integrating blockchain workload generation, network emulation, orchestration, and data analysis. Used it to study how topology and workload interactions affect blockchain performance and energy behavior.
Open Lilith research page

Digital Assets & CBDC-Oriented Data Workflows

Protocol analytics, dashboards, and structured data analysis

Worked on data-oriented analysis and dashboard concepts for digital assets, digital-asset and CBDC-related infrastructures, and blockchain ecosystem indicators, connecting technical protocol behavior with analytical and economic perspectives.

Digital Asset Programme Intern

Cambridge Centre for Alternative Finance

Research internship experience within the Digital Asset Programme, focused on digital assets, DeFi taxonomy, protocol classification, DeFi/TradFi mapping, and the Cambridge DeFi Navigator.
Open CCAF experience page

Research Engineering & Reproducibility

Software artifacts, datasets, pipelines, and experimental methodology

Developed scripts, datasets, reproducible workflows, statistical analyses, and documentation to support repeatable experiments and transparent evaluation of blockchain systems.

Publications

Impact of Network Topologies on Blockchain Performance

ACM DLT Journal article

Vincenzo P. Di Perna, Marco Bernardo, Francesco Fabris, Sebastião Amaro, Miguel Matos, and Valerio Schiavoni.

ACM DLT journal article, 2026. DOI: 10.1145/3828757.

Research page DOI / Paper

Impact of Network Topologies on Blockchain Performance

ACM DEBS '25

Vincenzo P. Di Perna, Marco Bernardo, Francesco Fabris, Sebastião Amaro, Miguel Matos, and Valerio Schiavoni.

Proceedings of the 19th ACM International Conference on Distributed and Event-Based Systems, 2025.

Research page DOI / Paper

Blockchain Energy Consumption: Unveiling the Impact of Network Topologies

IEEE ICBC '25

Vincenzo P. Di Perna, Valerio Schiavoni, Francesco Fabris, and Marco Bernardo.

Proceedings of the 2025 IEEE International Conference on Blockchain and Cryptocurrency.

Research page IEEE Xplore

An Entropy-Based Approach to Evaluating the Economic Efficiency of Cryptocurrencies

DLT '25

Vincenzo P. Di Perna, Michele Foderaro, Francesco Fabris, and Marco Bernardo.

Distributed Ledger Technology Workshop, CEUR Workshop Proceedings, Vol. 4105, 2025.

Research page CEUR paper

Dynamic Taxonomy: A Bridge from DeFi to TradFi

SSRN CCAF collaboration

Iqbal Mabruri, Carles Cerqueda, Christopher Jack, Alexis Lui, Yue Wu, Wenbin Wu, Vincenzo P. Di Perna, Keith Bear, and Bryan Zheng Zhang.

SSRN working paper developed in collaboration with the Cambridge Centre for Alternative Finance (CCAF), focused on digital assets, decentralized finance, traditional finance, and taxonomy-oriented analysis.

Research page SSRN CCAF experience

Tools & Artifacts

Lilith

Topology-aware blockchain benchmarking framework integrating workload generation, network emulation, orchestration, and experiment analysis.

Artifact page Zenodo artifact Related ACM DLT article

Blockchain Repeatability Dataset

Dataset and repeated experimental campaign for studying blockchain performance variability, repeatability, and predictability.

Dataset page coming soon Public release pending

Technical Skills

Programming, scripting & automation

Python for orchestration, data processing, experiment automation, and analysis workflows
Bash scripting for Linux automation, reproducible runs, and command-line pipelines
Rust familiarity for systems-oriented programming and low-level software concepts
JavaScript / TypeScript basics for web interfaces, personal-site tooling, and frontend integration
Familiarity with Go, C, and C++ from systems, networking, and academic contexts
Git, GitHub, branching, pull requests, repository organization, and basic CI workflows

Data analysis, statistics & visualization

Structured analysis of benchmark outputs, logs, experimental traces, and performance datasets
Throughput, latency, energy, variability, repeatability, and predictability metrics
Statistical reasoning for experimental comparison, including ANOVA and ICC-style variance analysis
Data cleaning, aggregation, transformation, and reproducible analysis pipelines
Python-based analytics with notebooks, scripts, CSV/JSON processing, and publication-ready figures
Dashboard-style visual analytics for protocol, digital-asset, and infrastructure indicators

Distributed systems & infrastructure

Linux-based development, debugging, scripting, and experimental execution environments
Docker-based deployment, containerized experiments, and reproducible software environments
Network emulation and controlled experimental topologies for distributed-system evaluation
Benchmark orchestration across multiple nodes, workloads, platforms, and configurations
Understanding of latency, bandwidth, topology effects, coordination, consensus, and system variability
Experience designing experiments inspired by geo-distributed infrastructures and cloud regions

Blockchain, DLT & digital assets

Blockchain benchmarking, protocol evaluation, and empirical comparison of DLT platforms
Performance and latency analysis across consensus protocols, workloads, and network conditions
Energy-efficiency evaluation and normalized energy-per-transaction analysis
Experience with EVM-style systems, permissioned BFT systems, public PoS platforms, and experimental blockchain stacks
Digital-asset analytics, DeFi/CBDC-related research context, and protocol-level data interpretation
Interest in RWA, tokenization, ownership models, economic efficiency, and fairer value distribution

Benchmarking & reproducible experimentation

Design of repeatable experimental campaigns across blockchain platforms, workloads, and topologies
Integration of workload generation, network emulation, orchestration, monitoring, and analysis steps
Use of repeated runs to study variability, worst-case deviations, repeatability, and predictability
Experiment documentation, artifact preparation, datasets, scripts, and reproducibility-oriented workflows
Awareness of measurement limitations, confounding factors, environmental control, and methodological caveats

Research engineering & technical communication

Translation of research questions into executable experiments, metrics, datasets, and evaluation pipelines
Technical writing for papers, reports, documentation, reproducibility packages, and research artifacts
Preparation of figures, tables, methodological explanations, and evidence-based technical narratives
Cross-domain communication across distributed systems, blockchain infrastructure, digital assets, and economic analysis
Personal-site and portfolio development with Astro, Tailwind CSS, HTML/CSS, and GitHub Pages