Ahmet Soylu, professor, OsloMet

Ahmet Soylu
Dean of School of Doctoral Studies

Professor of Computer Science

Kristiania University of Applied Sciences, 

Oslo, Norway 

Contact: ahmet.soylu(at)kristiania.no

[ See full CV ] [ LinkedIn ] [ My poetry page ]

I am the dean of School of Doctoral Studies and a full professor of computer science at Kristiania University of Applied Sciences. I also have an adjunct position at University of Oslo – UiO. Earlier I worked as a full professor of computer science and head of group for Innovation, Digital Transformation, and Sustainability at OsloMet – Oslo Metropolitan University and as a full professor at Norwegian University of Science and Technology – NTNU. I was previously a senior scientist at SINTEF Digital, a senior engineer at DNV, a postdoctoral research fellow at University of Oslo – UiO, and a visiting researcher at University of Oxford. I received my PhD degree in computer science in 2012 from University of Leuven. My main research interests fall into ontology-driven information systems and ontology-driven design of information systems from a human-computer interaction perspective. 

My recent research activities are related to data integration, management, and access for industrial and open data using the Semantic Web and Linked Data technologies and principles. My research interests span: end-user development, the Semantic Web, knowledge representation, digitalisation, and Big Data. I have taken part in several large EU projects (Horizon 2020, FP7, FP6, Erasmus etc.) such as TheyBuyForYou, Optique, iCamp, ROLE, LEGIS, LEFIS, and TREE. I was the technical manager for TheyBuyForYou project. I currently sit on the editorial boards of Journal of Web Semantics (JoWS), Transactions on Graph Data and Knowledge (TGDK), and Data Technologies and Applications and organised several conferences including Declarative AI series (RuleML+RR, Reasoning Web Summer School, and DecisionCAMP).

Magazine articles:

N. Nikolov, A. Solberg, R. Prodan, A. Soylu, M. Matskin and D. Roman, "Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring," in Computer, vol. 56, no. 10, pp. 40-48, Oct. 2023, doi: 10.1109/MC.2023.3285414.
D. Roman et al., "Big Data Pipelines on the Computing Continuum: Tapping the Dark Data," in Computer, vol. 55, no. 11, pp. 74-84, Nov. 2022, doi: 10.1109/MC.2022.3154148.
M. Giese et al., "Optique: Zooming in on Big Data," in Computer, vol. 48, no. 3, pp. 60-67, Mar. 2015, doi: 10.1109/MC.2015.82.

Conference proceedings:

7th International Joint Conference, RuleML+RR 2023, Oslo, Norway, September 18–20, 2023, Proceedings
5th International Joint Conference, RuleML+RR 2021, Leuven, Belgium, September 13–15, 2021, Proceedings
4th International Joint Conference, RuleML+RR 2020, Oslo, Norway, June 29 – July 1, 2020, Proceedings