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.
Research groups
Publications and research
Scientific publications
Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph;
Roman, Dumitru
;
Soylu, Ahmet
(2024).
Cloud storage tier optimization through storage object classification.
Computing.
https://doi.org/10.1007/s00607-024-01281-2
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
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
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
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
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
