معرفی
Tianyi Li is a Tenure Track Assistant Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design and the Daisy - Center for Data-intensive Systems. His research focuses on data engineering, spatiotemporal systems, and digital twins, with applications in energy, transportation, and vehicular networks. Key areas include trajectory data management, graph neural networks, compression techniques, and federated learning.
He has contributed to over 37 publications, including works on digital twin frameworks for autonomous driving and smart grids, trajectory prediction systems, and efficient time series compression. His research integrates machine learning, distributed systems, and cybersecurity to address challenges in data-intensive environments.
- Key Projects: Digital twin-enabled voltage control, federated vehicular networks, trajectory simplification frameworks.
- Labs: Involved with the Daisy Center, focusing on data-centric systems and scalable solutions.
- Technical Expertise: Blockchain systems, energy systems optimization, and real-time data processing.
