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
Layegh, Amirhossein; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail
(2023).
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER.
Shahriar, Hossain; Teranishi, Yuuichi; Cuzzocrea, Alfredo (Ed.).
2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC).
IEEE conference proceedings.
https://doi.org/10.1109/COMPSAC57700.2023.00038
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.
Shahriar, Hossain; Teranishi, Yuuichi; Cuzzocrea, Alfredo (Ed.).
2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC).
IEEE conference proceedings.
https://doi.org/10.1109/COMPSAC57700.2023.00203
Bakken, Magnus; Soylu, Ahmet
(2023).
Chrontext: Portable SPARQL queries over contextualised time series data in industrial settings.
Expert Systems With Applications.
Vol. 226.
https://doi.org/10.1016/j.eswa.2023.120149
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.
Diagnostics (Basel).
Vol. 13.
https://doi.org/10.3390/diagnostics13040651
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.
Sensors.
Vol. 23.
https://doi.org/10.3390/s23020564
Roman, Dumitru; Alexiev, Vladimir; Paniagua, Javier; Elvesæter, Brian; Zernichow, Bjørn Marius von; Soylu, Ahmet; Simeonov, Boyan; Taggart, Chris
(2022).
The euBusinessGraph ontology: A lightweight ontology for harmonizing basic company information.
Semantic Web Journal.
Vol. 13.
https://doi.org/10.3233/SW-210424
Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Trung-Kien, Tran; Stepanova, Daria; Gad-Elrab, Mohamed H.; Nikolov, Nikolay; Soylu, Ahmet; Kharlamov, Evgeny
(2022).
The Data Value Quest: A Holistic Semantic Approach at Bosch.
Lecture Notes in Computer Science (LNCS).
Vol. 13384.
https://doi.org/10.1007/978-3-031-11609-4_42
Thomas, Aleena; Nikolov, Nikolay; Pultier, Antoine; Roman, Dumitru; Elvesæter, Brian; Soylu, Ahmet
(2022).
SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data.
Computer Software and Applications Conference.
https://doi.org/10.1109/COMPSAC54236.2022.00182
Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny
(2022).
Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping.
Lecture Notes in Computer Science (LNCS).
Vol. 13384.
https://doi.org/10.1007/978-3-031-11609-4_23
Roman, Dumitru; Song, Hui; Loupos, Konstantinos; Krousarlis, Thomas; Soylu, Ahmet; Skarmeta, Antonio F.
(2022).
The Computing Fleet: Managing Microservices-based Applications on the Computing Continuum.
ICSA-C, 2022 (Ed.).
2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C). p. 40-44.
IEEE conference proceedings.
https://doi.org/10.1109/ICSA-C54293.2022.00015
