Dumitru Roman

Scientific publications

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. 8 p. 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

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

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

Massri, M.Besher; Spahiu, Blerina; Grobelnik, Marko; Alexiev, Vladimir; Palmonari, Matteo; Roman, Dumitru (2023). Towards InnoGraph: A Knowledge Graph for AI Innovation. Ding, Ying; Tang, Jie; Sequeda, Juan; Castillo, Carlos; Houben, Geert-Jan (Ed.). WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023. p. 843-849. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3543873.3587614

Rozanec, Joze; Elvesæter, Brian; Roman, Dumitru; Grobelnik, Marko; Haase, Peter (2023). Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage. Vieira, Marco; Cardellini, Valeria (Ed.). ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering. p. 253-254. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3578245.3585339

Rozanec, Joze; Cochez, Michael; van Bakel, Ruud; Elvesæter, Brian; Roman, Dumitru (2023). Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning. Vieira, Marco; Cardellini, Valeria (Ed.). ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering. p. 251-252. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3578245.3585338

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

Roman, Dumitru; Prodan, Radu; Nikolov, Nikolay; Soylu, Ahmet; Matskin, Mihhail; Marrella, Andrea; Kimovski, Dragi; Elvesæter, Brian; Simonet-Boulogne, Anthony; Ledakis, Giannis; Song, Hui; Leotta, Francesco; Kharlamov, Evgeny (2022). Big Data Pipelines on the Computing Continuum: Tapping the Dark Data. 10 p. Computer. Vol. 55.
https://doi.org/10.1109/MC.2022.3154148

Song, Hui; Soylu, Ahmet; Roman, Dumitru (2022). Towards Cognitive Self-Management of IoT-Edge-Cloud Continuum based on User Intents. Zhao, Xinghui; Sill, Alan (Ed.). 15th IEEE/ACM International Conference on Utility and Cloud Computing. p. 313-316. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/UCC56403.2022.00055

Dissemination

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

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.

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

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

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.

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.