I have both industrial and academic experience in the artificial intelligence by working on various machine learning and deep learning-based projects as researcher for many years. After I completed my master’s degree in Istanbul Technical University, I decided to continue my scientific studies in Switzerland. Then I started to work in AISLAB HES-SO on a project funded by the Swiss National Science Foundation (SNSF) in AI-based stream processors interacting through streaming Knowledge Graphs. In relation with the research project, my supervisor, Prof. Jean-Paul Calbimonte, referred me to Prof. Yash Raj Shrestha for his co-advisory and he accepted me as his PhD student to UNIL. I am very excited that I had a chance to work with the Prof. Shrestha in AAIL and the honor of being a PhD student at UNIL.

Resume

Publications

• Tataroğlu Özbulak, G. A, Shrestha, Y. R., & Calbimonte, J. P. (2025). CAST-GNN: Continual adaptive learning for custom spatio-temporal knowledge graphs via graph neural networks. Proceedings of the IEEE International Conference on Data Mining (ICDM 2025). IEEE.
• Tataroğlu Özbulak, G. A., Shrestha, Y. R., & Calbimonte, J.-P. (2025). STKGNN: Scalable Spatio-Temporal Knowledge Graph Reasoning for Activity Recognition. Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM).
• Tataroğlu Özbulak, G. A, Manzo, G., Shrestha, Y. R., & Calbimonte, J. P. (2025).  A Comprehensive Survey of Stream Reasoning and its Integration with Knowledge Graphs. Springer Knowledge and Information Systems (KAIS).