Norwegian version
Ahmet Soylu

Ahmet Soylu

About

I am a full professor of computer science and head of group for Innovation, Digital Transformation and Sustainability. Previously I was a senior scientist at SINTEF Digital, a senior engineer at DNV GL, 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 digital transformation, data integration, management, and access for industrial and open data using the Semantic Web and Linked Data technologies and principles.

Scientific publications

Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru ; Soylu, Ahmet (2024). A Taxonomy for Cloud Storage Cost. Communications in Computer and Information Science (CCIS).
https://doi.org/10.1007/978-3-031-51643-6_23

Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru ; Soylu, Ahmet (2023). Towards Graph-based Cloud Cost Modelling and Optimisation. Cuzzocrea, Alfredo; Sharmin, Moushumi; Teranishi, Yuuichi; Towey, Dave (Ed.). 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings.
https://doi.org/10.1109/COMPSAC57700.2023.00203

Avram, Calin; Gligor, Adrian; Roman, Dumitru ; Soylu, Ahmet ; Nyulas, Victoria; Avram, Laura (2023). Machine learning based assessment of preclinical health questionnaires. 7 p. International Journal of Medical Informatics. Vol. 180.
https://doi.org/10.1016/j.ijmedinf.2023.105248

Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru ; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (2023). Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. 20 p. Sensors. Vol. 23.
https://doi.org/10.3390/s23020564

Su Yilmaz, Vadi; Akdag, Metehan; Dalveren, Yaser; Doruk, Resat Ozgur; Kara, Ali; Soylu, Ahmet (2023). Investigating the Impact of Two Major Programming Environments on the Accuracy of Deep Learning-Based Glioma Detection from MRI Images. 15 p. Diagnostics (Basel). Vol. 13.
https://doi.org/10.3390/diagnostics13040651

Bakken, Magnus; Soylu, Ahmet (2023). Chrontext: Portable SPARQL queries over contextualised time series data in industrial settings. 30 p. Expert Systems With Applications. Vol. 226.
https://doi.org/10.1016/j.eswa.2023.120149

Layegh, Amirhossein; Hossein Payberah, Amir; Soylu, Ahmet ; Roman, Dumitru ; Matskin, Mihhail (2023). ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER. Cuzzocrea, Alfredo; Sharmin, Moushumi; Teranishi, Yuuichi; Towey, Dave (Ed.). 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings.
https://doi.org/10.1109/COMPSAC57700.2023.00038

Fensel, Anna; Ozaki, Ana; Dumitru, Roman; Soylu, Ahmet (2023). Rules and Reasoning - 7th International Joint Conference, RuleML+RR 2023, Oslo, Norway, September 18-20, 2023, Proceedings. ISBN: 978-3-031-45071-6. 269 p. Springer Publishing Company. Vol. 14244.

Nikolov, Nikolay Vladimirov; Solberg, Arnor; Prodan, Radu; Soylu, Ahmet ; Matskin, Mihhail; Roman, Dumitru (2023). Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring. Computer. Vol. 56.
https://doi.org/10.1109/MC.2023.3285414

Benvenuti, Dario; Marrella, Andrea; Rossi, Jacopo; Nikolov, Nikolay Vladimirov; Roman, Dumitru ; Soylu, Ahmet ; Perales, Fernando (2023). A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery. Lecture Notes in Business Information Processing. Vol. 490.
https://doi.org/10.1007/978-3-031-41623-1_3





These publications are obtained from Cristin. The list may be incomplete