Erkan Karabulut (e.karabulut@uva.nl)
PhD Student, University of Amsterdam
Biography
Hello! I am a doctoral researcher working on Neurosymbolic AI approaches to knowledge discovery and reasoning systems with an emphasis on smart environments. I work with a group of smart people at the INtelligent Data Engineering Lab (INDElab), University of Amsterdam. My supervisors are Dr. Victoria Degeler and Prof. Dr. Paul Groth.
Previously, I have obtained my MSc. degree in Computer Science from the Technical University of
Munich, and my BSc. degree in Computer Engineering from the Yildiz Technical University, Istanbul
.
I worked as a research assistant at the Bavarian Research Institute for Software-Intensive Systems (fortiss) between 2020-2022. And I worked as a student assistant in the Software Quality R&D Lab the of Yildiz Technical University between 2017-2019.
I am open for collaborations, feel free to reach out via email: e.karabulut@uva.nl.
Recent Activities
-
June 2024 - I will be joining the International Semantic Web Research Summer School in Italy.
-
March 2024 - A new preprint entitled "AE SemRL: Learning Semantic Association Rules with Autoencoders" is out on arXiv.
-
February 2024 - I will be attending the "Masterclass on Data Semantics" seminar organized by SIKS.
-
February 2024 - I have published a new blog post entitled Scribbles around the first year as a PhD student.
-
January 2024 - I reviewed a submission for the Journal of Machine Learning Research.
-
December 2023 - Our "Systematic Literature Review of Ontologies in Digital Twins" is accepted and published in Elsevier`s Future Generation Computer Systems journal!
-
November 2023 - I attended the ISWC2023 in Athens.
-
October 2023 - I reviewed Master Theses for Amsterdam AI Thesis Award.
-
October 2023 - A workshop paper entitled Semantic Association Rule Learning from Time Series Data and Knowledge Graphs is accepted to SemIIM23 workshop as part of the Semantic Web Conference.
Publications
-
2024 - Erkan Karabulut, Victoria Degeler, and Paul Groth. AE SemRL: Learning Semantic Association Rules with Autoencoders, 2024.
Link.
-
2023 - Karabulut, Erkan, Degeler, Victoria, and Groth, Paul. "Semantic Association Rule Learning from Time Series Data and Knowledge Graphs." In SemIIM’23: 2nd International Workshop on Semantic Industrial Information Modelling co-located with 22nd International Semantic Web Conference (ISWC 2023).
Link.
-
2023 - Karabulut, Erkan, Salvatore F. Pileggi, Paul Groth, and Victoria Degeler. "Ontologies in digital twins: A systematic literature review." Future Generation Computer Systems (2023).
Link.
-
2023 - E. Karabulut and R. C. Sofia, "An Analysis of Machine Learning-based Semantic Matchmaking," in IEEE Access, doi: 10.1109/ACCESS.2023.3259360. 2023.
Link.
-
2022 - Bnouhanna, N., Karabulut, E., Sofia, R. C., Seder, E. E., Scivoletto, G., & Insolvibile, G. (2022, March). An Evaluation of a Semantic Thing To Service Matching Approach in Industrial IoT Environments. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 433-438). IEEE.
Link.
-
2021 - Karabulut, Erkan, Nisrine Bnouhanna, and Rute C. Sofia. "ML-based data classification and data aggregation on the edge." Proceedings of the CoNEXT Student Workshop. 2021.
Link.
-
2018 - Yazici, Ilkay Melek, Erkan Karabulut, and Mehmet S. Aktas. "A data provenance visualization approach." 2018 14th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2018.
Link.
Theses
- MSc. Thesis: ML-based Data Classification and Data Aggregation on the Edge. May 2022. Supervisors: Prof. Dr. Rute C. Sofia, Prof. Dr.-Ing. Jörg Ott.
- BSc. Thesis: Adaptive Learning-based Tracing Tool for Weather Research and Forecasting Software. January 2019. Supervisor: Assoc. Prof. Dr. Mehmet S. Aktaş