My research focuses on blockchain systems evaluation, distributed infrastructures, digital assets, reproducible experimentation, network-aware benchmarking, energy and efficiency analysis, and the study of performance variability, repeatability, and predictability under controlled experimental conditions.
ACM DLT journal article on topology-aware blockchain benchmarking, network-controlled experiments, workload sensitivity, and reproducible evaluation of blockchain performance.
Research developed within the Cambridge Centre for Alternative Finance on a dynamic DeFi taxonomy designed to connect decentralised finance with traditional finance, regulatory perspectives, and the Cambridge DeFi Navigator.
Research introducing an entropy-based index to evaluate the economic efficiency of cryptocurrencies through on-chain attributes, user participation, supply dynamics, and transfer activity.
Peer-reviewed research on how network topology, workload type, and blockchain design affect energy consumption and energy per transaction.
Peer-reviewed research on how network topology affects blockchain performance under controlled, reproducible, and cloud-inspired experimental conditions.
Public GitHub research artifact supporting topology-aware blockchain benchmarking, workload execution, network emulation, local validation, Git LFS-backed datasets, and reproducible experimental analysis.
Public normalized and entropy-derived cryptocurrency datasets supporting the DLT '25 EB-index paper, with documentation, citation metadata, reproducible plotting material, and an interactive dashboard.
Public dataset of 300 aggregate configurations for evaluating blockchain benchmark repeatability and performance predictability across five platforms, five network topologies, six workloads, and two network sizes.
Doctoral dissertation presenting a multidimensional comparison of blockchain systems across performance, energy consumption, experimental repeatability, performance predictability, and economic efficiency.
Master's thesis on an efficient document-management and accounting system implemented with blockchain transactions, Solid Pods, MetaMask, QR codes, and eBill-inspired workflows.
Bachelor's thesis on threat modeling, secure software development, threat intelligence, monitoring tools, log analysis, visualization, containerization, and security-oriented infrastructure.
Research internship experience at the Cambridge Centre for Alternative Finance, within the Digital Asset Programme, connected to digital assets, DeFi taxonomy, TradFi integration, protocol classification, and the Cambridge DeFi Navigator.