معرفی
Dr. Sina Rafati Niya serves as a Senior Researcher at the Blockchain and Distributed Ledger Technologies (BDLT) group, University of Zurich (UZH), where he specializes in blockchain data governance and analytics for PoS-based systems including Cardano, Tezos, Casper, and Polkadot since 2022. His research spans decentralized applications in DeFi, supply chain tracking, identity management, and IoT domains, building on continuous work since 2017.
He completed his Ph.D. at UZH in 2021 with the dissertation "Efficient Designs for Practical Blockchain-IoT Integration," establishing foundational work for his current research trajectory.
Rafati Niya's research centers on Blockchain Data Engineering and Analysis, with specific expertise in transaction untangling (Cardano shared send transactions), address clustering heuristics, privacy-preserving micro-payment systems for resource-constrained IoT devices, and GDPR-compliant blockchain adaptations. His methodology emphasizes practical implementation challenges in scalability and real-world deployment across financial, supply chain, and industrial IoT contexts.
Publication analysis reveals concentrated advancements in Cardano analytics (60% of recent work), including novel transaction analysis frameworks and network structure investigations in Polkadot, alongside persistent exploration of blockchain-IoT integration patterns. This body of work demonstrates evolving sophistication from protocol design (2017-2020) toward advanced analytics and privacy solutions (2021-2025).
No scientific awards were documented in the source material.
While specific advisees and grants remain unlisted, his extensive co-authorship pattern (27+ publications 2017-2025) indicates active mentorship within the BDLT group and collaboration with researchers including C. J. Tessone, Burkhard Stiller, and M. Chegenizadeh. Current projects focus on offline micro-payment verification and Cardano transaction analytics.
As a core contributor to UZH's BDLT research group, he drives initiatives in blockchain analytics infrastructure and practical protocol development, maintaining strong industry-academia connections through publications in IEEE ICBC, Springer, and Elsevier venues.
