معرفی
Panagiotis Tampakis is an Associate Professor at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on Big Data Analytics, Mobility Data Analysis, and Predictive Modeling with applications in fields such as maritime surveillance, sports analytics, and healthcare informatics. He is actively involved in developing scalable algorithms for trajectory clustering, spatiotemporal data mining, and distributed systems.
His work emphasizes practical solutions through platforms like i4sea for maritime activity monitoring and Pythia for distributed trajectory prediction. He has collaborated internationally on mobility data projects and earned the SSTD 2021 Best Paper Award for innovative spatial-keyword indexing techniques. Tampakis also supervises student projects integrating machine learning with real-world problems in finance, sports, and journalism.
Key research themes include predictive analytics for traffic patterns, outlier detection in traffic flows, and analyzing passing sequences in football to predict goal-scoring opportunities. His publications span trajectory clustering, spatial-keyword query optimization, and explainable AI in journalism.
- Awards: SSTD 2021 Best Paper Award
- Key Projects: i4sea maritime platform, Pythia trajectory prediction framework, RoadRunner big data processing framework
- Collaborations: Active in global mobility data communities, with contributions to BMDA initiatives
