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Iva Krasteva, PhD

Senior researcher

R Research and innovation

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La vita è bella.

Iva Krasteva is a senior researcher in the „Software Engineering for Big Data and AI“ group at GATE Institute. Her research is focused on the methodologies for development of Big Data and AI-based systems.
Iva Krasteva holds bachelor, master and PhD degrees in Informatics from Sofia University. She has considerable experience in development of software systems and particularly in quality assurance, automated testing, requirements engineering and project management.

Projects

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

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

Publications

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,

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 ,

Saltz JS, Krasteva I. , Current approaches for executing big data science projects—a systematic literature review PeerJ Computer Science 8:e862,

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,

Krasteva I., D. Petrova-Antonova, F. De Paoli, E. Hristov, M. Borukova, M. Ciavotta, R. Avogardro, Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study Data Engineering and Modeling for AI (DEMAI) within IEEE International Conference on Big Data (IEEE BigData 2023), 15-18 Dec. Sorrento, Italy ,

Krasteva I, Kraychev B, Kiyamousavi E. , How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems Proc - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023. 2023;96–7.,

Hristov, E., Petrova-Antonova, D., De Paoli, F., Krasteva, I., Ciavotta, M., Avogadro, R., Geospatial Data Enrichment through Address Geocoding: Challenges and Solutions ISPRS Technical Commission IV Symposium 2024,

Paoli, F.D., Ciavotta, M., Avogadro, R., Hristov, E., Borukova, M., Petrova-Antonova, D., Krasteva, I., An interactive approach to semantic enrichment with geospatial data Data & Knowledge Engineering 102341,

Iva Krasteva, PhD

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