Bohdan Shubyn

Papers

Total Citations

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About

Bohdan Shubyn is a researcher focused on the intersection of data engineering, the Internet of Things (IoT), and distributed systems. His work addresses the critical challenge of transforming massive, raw datasets into actionable, "Smart Data" through efficient analytics methodologies. His most cited paper, "From Big Data to Smart Data: The Most Effective Approaches for Data Analytics" (2020, 9 citations), provides a foundational framework for this conversion, highlighting his contribution to making large-scale data more usable and insightful. Shubyn also explores the architectural backbone of modern connectivity, analyzing Quality of Service (QoS) in IoT environments enabled by technologies like 5G, NFC, and RFID in his work "Advanced Architectures for IoT Scenarios" (2020, 3 citations). Furthermore, his investigation into "Highly-Distributed Systems: What is Inside?" (2020, 3 citations) examines the internal mechanics of modern systems, specifically the integration of micro-services and blockchain technology within agile development processes. Through these contributions, Shubyn provides a cohesive view of how data, connectivity, and distributed architecture converge to power next-generation digital ecosystems.