Kort om
Jeg er professor i informatikk og leder for gruppen for innovasjon, digital transformasjon og bærekraft. Tidligere var jeg seniorforsker ved SINTEF Digital, senioringeniør ved DNV GL, postdoktor ved Universitetet i Oslo (UiO) og besøksforsker ved University of Oxford. Jeg fikk min doktorgrad i informatikk i 2012 fra University of Leuven. Mine hovedforskningsinteresser faller inn i ontologi-drevne informasjonssystemer og ontologi-drevne design av informasjonssystemer fra et menneske-datamaskin-interaksjonsperspektiv. Mine nylige forskningsaktiviteter er knyttet til digital transformasjon, dataintegrasjon, og dataforvaltning for industrielle og åpne data ved hjelp av teknologier og prinsipper for Semantic Web og Linked Data.
Forskningsgrupper
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Bakken, Magnus; Soylu, Ahmet (2023). Chrontext: Portable SPARQL queries over contextualised time series data in industrial settings. Expert Systems With Applications . Vol. 226.
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.
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://www.mdpi.com/1424-8220/23/2/564
Zheng, Zhuoxun; Zhou, Baifan; Soylu, Ahmet; Kharlamov, Evgeny
(2022).
Towards a Visualisation Ontology for Data Analysis in Industrial Applications.
CEUR Workshop Proceedings
.
Vol. 3355.
http://hdl.handle.net/10852/101950
Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Song, Hui; Roman, Dumitru; Soylu, Ahmet
(2022).
Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model.
Zhao, Xinghui; Sill, Alan (Red.).
15th IEEE/ACM International Conference on Utility and Cloud Computing. Article. s. 317-320.
IEEE (Institute of Electrical and Electronics Engineers).
https://hdl.handle.net/11250/3062532
Song, Hui; Soylu, Ahmet; Roman, Dumitru
(2022).
Towards Cognitive Self-Management of IoT-Edge-Cloud Continuum based on User Intents.
Zhao, Xinghui; Sill, Alan (Red.).
15th IEEE/ACM International Conference on Utility and Cloud Computing. Article. s. 313-316.
IEEE (Institute of Electrical and Electronics Engineers).
https://hdl.handle.net/11250/3063339
Tahmasebi, Shirin; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail
(2022).
TranSQL: A Transformer-based Model for Classifying SQL Queries.
IEEE, . (Red.).
Proceedings 21st IEEE international conference on machine learning and applications : ICMLA 2022. Article. s. 788-793.
IEEE conference proceedings.
https://hdl.handle.net/11250/3063329
Roman, Dumitru; Pultier, Antoine; Ma, Xiang; Soylu, Ahmet; Ulyashin, Alexander
(2022).
Data quality issues in solar panels installations: a case study.
Nguyen, Phu Hong; Magnanini, Maria Chiara; Sen, Sagar (Red.).
Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022). Short paper. s. 24-25.
Association for Computing Machinery (ACM).
https://hdl.handle.net/11250/3054775
Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Soylu, Ahmet; Savkovic, Ognjen; Kostylev, Egor; Kharlamov, Evgeny (2022). ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. Al Hasan, Mohammad; Xiong, Li (Red.). CIKM'22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Research article. s. 5074-5078. Association for Computing Machinery (ACM).
Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (2022). ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. Al Hasan, Mohammad; Xiong, Li (Red.). CIKM'22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Research article. s. 5064-5068. Association for Computing Machinery (ACM).
