Dumitru Roman

Scientific publications

Waszak, Maryna; Moen, Terje; Hansen, Anders; Bouquet, Gregory; Pultier, Antoine; Ma, Xiang; Roman, Dumitru (2024). Vibration Sensors for Detecting Critical Events: A Case Study in Ferrosilicon Production. 12 p. IEEE Access. Vol. 12.
https://doi.org/10.1109/ACCESS.2024.3356067

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

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

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

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

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

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

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 Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru ; Soylu, Ahmet (2023). Towards Cloud Storage Tier Optimization with Rule-Based Classification. Lecture Notes in Computer Science (LNCS). Vol. 14183.
https://doi.org/10.1007/978-3-031-46235-1_13

Dissemination

Roman, Dumitru ; Elvesæter, Brian (2023). Introduction to Graph Data. Data Science International Summer School. Bucharest University of Economic Studies.
https://datascience.ase.ro/

Nikolov, Nikolay; Roman, Dumitru (2022). Big Data Pipelines on the Computing Continuum. European Big Data Value Forum: Fueling Industrial AI with Data Pipelines. DataCloud, enRichMyData and Graph-Massivizer projects.

Nikolov, Nikolay; Roman, Dumitru (2022). Big Data Pipelines in DataCloud. InterTwino - DataCloud workshop. Sofia University St. Kliment Ohridski.

Nikolov, Nikolay; Roman, Dumitru ; Elvesæter, Brian; Waszak, Maryna (2022). Data Enrichment and Data Pipelines. Data Science Summer School. Bucharest University of Economic Studies.

Nikolov, Nikolay; Thomas, Aleena; Pultier, Antoine; Roman, Dumitru (2022). SIM-PIPE DryRunner: A tool for simulation/testing of container-based big data pipelines.

Roman, Dumitru ; Elvesæter, Brian (2022). Knowledge Graphs and Graphs Databases. Data Science International Summer School. Bucharest University of Economic Studies (Bucharest Business School), in collaboration with the GATE Institute at Sofia University “St. Kliment Ohridski” and the InterTwino and DataCloud projects.
https://datascience.ase.ro/last-editions/2022-edit

Nystad, Erik Johan; Roman, Dumitru ; Martin-Recuerda, Francisco; Waszak, Maryna (2022). Dashboard and Data Pipeline for Academic Network. NorwAI Innovate 2022. Norwegian Research Center for AI Innovation.

Roman, Dumitru (2021). Forskere skal jakte på verdier i “mørke data”.

Parnas Gulnes, Maren; Soylu, Ahmet ; Roman, Dumitru (2021). Graph-based Management of Neuroscience Data: Representation, Integration and Analysis. ERCIM News.
https://ercim-news.ercim.eu/en125/r-i/graph-based-

Gutiérrez-Basulto, Víctor; Soylu, Ahmet ; Roman, Dumitru ; Kliegr, Tomáš; Giese, Martin (2020). Preface. Lecture Notes in Computer Science (LNCS). Vol. 12173.