Papers
2
Total Citations
36
H-Index
2
About
Larysa Globa is a leading researcher in the fields of Internet of Things (IoT) and data analytics, with a focus on transforming raw data into actionable intelligence. Her work addresses critical challenges in IoT performance, reliability, and scalability, particularly through the integration of enabling technologies such as 5G, Wi-Fi, NFC, and RFID. Her most cited paper, "Performance, Reliability and Scalability for IoT" (2019, 27 citations), explores the rapid expansion of IoT into everyday life—from sensor networks and robotics to wearable and cyber-physical systems—highlighting the urgent need for robust software platforms and applications. In her follow-up work, "From Big Data to Smart Data: The Most Effective Approaches for Data Analytics" (2020, 9 citations), Globa advances the conversation by emphasizing the shift from merely collecting vast datasets to extracting meaningful, efficient insights. Her contributions are pivotal for students and researchers navigating the complexities of modern IoT ecosystems, offering practical frameworks for building reliable, scalable systems that turn big data into smart decisions. Globa’s research continues to shape how we design and deploy intelligent, data-driven technologies in an increasingly connected world.
Research Focus
Key Achievements
Top Papers
- 1Performance, Reliability and Scalability for IoT27 citations · 2019
- 2