Laila Niedrite

Laila Niedrite is a Professor at the University of Latvia's Faculty of Computing, actively contributing to data warehousing, adaptive e-learning systems, and big data management since 2001. She leads collaborative research with key partners Darja Solodovnikova, Aivars Niedritis, and Guntis Arnicans.

• Specializes in performance measurement frameworks and evolution management of heterogeneous data sources
• Develops personalized adaptive e-learning architectures with implemented learning path recommendations
• Advances cross-domain data integration including social media analytics and institutional research evaluation

Research Trends: Recent work focuses on indoor environmental quality monitoring during pandemics (2022), institutional research analytics (2017), and big data requirements (2018). She bridges academic performance analysis with technical implementations of scalable data systems.

Collaborative Network: Maintains long-term collaborations with researchers at the University of Latvia, particularly with Darja Solodovnikova (16 co-publications) and Natalija Kozmina (12 co-publications), contributing to both theoretical frameworks and practical implementations.