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Sylvia Ilieva, PhD

Director

E-mail:

The goal is not to be perfect by the end, the goal is to be better today.
(Simon Sinek)

Sylvia Ilieva is a professor at the Faculty of Mathematics and Informatics and Director of GATE Institute at Sofia University “St. Kliment Ohridski”. Her research interests are in the areas of software platforms, software development processes, data management, and software engineering for AI. She was a team leader of BSc and MSc Software Engineering programmes creation in compliance with ACM/IEEE recommendations. She was a supervisor of more than 200 MSc theses. She has a good record of successful participation in over 20 European research and education projects.

Projects

Coordinator: Prof. Sylvia Ilieva, Big Data for Smart Society

Coordinator: Assoc. prof. Dessislava Petrova-Antonova, Digital twin modelling of patients with cognitive disorders

Coordinator: Prof. Sylvia Ilieva, Building competence in data enrichment for Artificial Intelligence

Publications

Petrova-Antonova D., D. Manova, S. Ilieva , Testing Web Service Compositions: Approaches, Methodology and Automation Advances in Science, Technology and Engineering Systems Journal, Vol. 5, No. 1, 159-168 (2020), ISSN online: 2415-6698,

Petrova-Antonova D., Ilieva S. , Digital Twin Modeling of Smart Cities Ahram T., Taiar R., Langlois K., Choplin A. (eds) Human Interaction, Emerging Technologies and Future Applications III. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1253. Springer, Cham, pp. 384-390.,

Petrova-Antonova D., I. Spasov, I. Krasteva, I. Manova, S. Ilieva , A Digital Twin Platform for Diagnostics and Rehabilitation of Multiple Sclerosis The 20th International Conference on Computational Science and its Applications (ICCSA 2020), Cagliari, Italy,

Petrova-Antonova D., Spasov I., Petkova Y., Manova I., Ilieva S., CogniSoft: A Platform for the Automation of Cognitive Assessment and Rehabilitation of Multiple Sclerosis Computers 2020,

Krasteva, Iva, and Sylvia Ilieva, Adopting Agile Software Development Methodologies in Big Data Projects–a Systematic Literature Review of Experience Reports 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020,

Spasov. A., D. Petrova-Antonova , Hybrid AI for Data Platforms E. Curry, S. Scerri, T. Tuikka (eds.), Data Platforms: Foundations, Design Space, and Deployments, Springer ,

Kolibarov N., D. Wastberg, V. Naserentin, D. Petrova-Antonova, S. Ilieva, A. Logg, Roof Segmentation Towards Digital Twin Generation in LoD2+ Using Deep Learning IFAC Workshop on Control for Smart Cities CSC 2022, IFAC-PapersOnLine, Volume 55, Issue 11, Pages 173-178,

Hristov P. O., D. Petrova-Antonova, S. Ilieva, R. Rizov, Enabling City Digital Twins Through Urban Living Labs Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, Pages 151–156.,

Vassilev, V., Ilieva, S., Krasteva, I., Pavlova, I., Petrova-Antonova, D., Sowinski-Mydlarz, W., AI-Based Hybrid Data Platforms In: Curry, E., Scerri, S., Tuikka, T. (eds) Data Spaces . Springer, Cham,

Simeon Karpuzov, George Petkov, Sylvia Ilieva, Alexander Petkov, Stiliyan Kalitzin, Object Tracking Based on Optical Flow Reconstruction of Motion-Group Parameters Information 2024, 15(6), 296,