Yevgeniya Daineko

International Information Technologies University

Papers

Total Citations

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About

Yevgeniya Daineko is a forward-thinking researcher at the intersection of digital transformation, automation, and immersive education. Her primary research areas include Robotic Process Automation (RPA) for operational optimization and Virtual Reality (VR) for enhanced learning experiences. Daineko’s major contributions lie in developing comprehensive frameworks that integrate RPA into logistics and administrative systems, demonstrating how automation can drive efficiency and sustainability. Her 2024 paper, "A Comprehensive Framework for Integrating RPA into Logistics Systems," has garnered 2 citations for its timely exploration of RPA’s role in optimizing logistics processes. Similarly, her 2019 work, "Using Virtual Reality Technology for Studying Physics," also with 2 citations, showcases her commitment to innovative educational tools. Notably, her case study on implementing RPA at the International University of Information Technology’s Medical Center (2024) highlights practical applications of automation in administrative workflows, earning 1 citation. Daineko’s research bridges theory and practice, offering actionable insights for students and professionals seeking to leverage RPA and VR in real-world settings. Her work underscores a dedication to advancing technology-driven solutions for both industry and academia.