معرفی
Tiantian Liu is an Assistant Professor in the Department of Computer Science at Aalborg University's Technical Faculty of IT and Design. Their research focuses on indoor location-based services, trajectory analysis, and spatial data management. Key areas include indoor navigation algorithms, temporal-variation-aware path queries, and uncertainty-aware contact tracing systems.
Education details are not explicitly provided in the text. The researcher has collaborated on the Data Management Foundations for Indoor LBS project (2019-2021), contributing to foundational work in indoor spatial databases.
Research interests span computer science, data management, and spatial computing. Notable contributions include keyword-aware routing systems (IKAROS), robust trajectory similarity computation (CLEAR), and time-constrained indoor pathfinding frameworks. Their work integrates machine learning, database systems, and algorithmic design to address challenges in indoor environments.
In 2021, Liu co-authored the SSTD 2021 Best Paper Candidate. Their research emphasizes practical applications such as crowd-aware path planning and uncertainty modeling in indoor positioning data.
Current work explores continuous similarity search for vessel trajectories (2025) and novel methods for handling temporal variations in indoor environments. The researcher's lab focuses on intelligent building systems and context-aware spatial analytics.
