Marco Marcozzi

Marco Marcozzi is a researcher at the Vilnius University Blockchain and Quantum Technologies Group. His work focuses on blockchain systems, quantum computing, and performability analysis of fault-tolerant protocols.

• Research Interests: Blockchain technology, quantum computing, Byzantine fault tolerance, consensus protocols, and data-driven system performance modeling.
• Key Contributions: Led studies on quantum-enhanced machine learning, performability analysis of PBFT systems, and classification of DLT consensus protocols using clustering algorithms.

Publications Trend: Recent works emphasize quantum computing applications in blockchain systems, performability modeling for fault-tolerant architectures, and machine learning approaches to consensus protocol analysis across disciplines like computer science and system reliability engineering.

• Current Affiliation: Blockchain and Quantum Technologies Group, Vilnius University, Akademijos St. 4, Vilnius.