Veselka Boeva

Veselka Boeva


Institutionen för datavetenskap, Rum J3123


Professor of Computer Science

Veselka Boeva ​​is Professor of Computer Science at Blekinge Institute of Technology, Sweden. She received an M. Sc. degree in Mathematics with specialization in Computer Science at the Plovdiv University, Bulgaria. She was awarded a Ph. D. degree in Computer Science from the Technical University of Sofia branch Plovdiv, Bulgaria in 2000. Veselka has a long teaching experience in Computer Science and research experience in the field of Artificial Intelligence, Data Mining, Machine Learning, Data Analysis and Bioinformatics. She was co-chair of the Bioinformatics Special Interest Group (BI SIG) for more than 10 years, an initiative founded at the Technical University-Plovdiv in 2004. The BI SIC was the first research group in the field of bioinformatics founded at that time in Bulgaria. Her research has been partly funded by successful research projects (e.g., a Bulgarian National Science Fund project and a KKS project) and a string of different research fellowships: a Post-Doc Research Fellowship supported by a Swedish Institute grant; a Post-Doc Research Fellowship supported by a NATO grant; a Post-Doc Research Fellowship supported by a Belgian Federal Science Policy Office grant and a Research Fellowship of German Academic Exchange Service (DAAD). As a result, she has visited and worked at various European universities in Slovakia, Belgium, Germany and Sweden. She is also very actively engaged as an external expert for evaluating research and higher education projects for FP7, H2020 and Horizon Europe programs of the EU.




Projekt och publikationer

Avslutade projekt
BigData@BTH (2014-2020)
PROSIT - PROduct Sustainability InformaTion: supporting communication between customers and product developers (2019-2021)
Nyligen publicerat
Vishnu Manasa Devagiri, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova, "Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis", Symposium on Intelligent Data Analysis (IDA 2024), Stockholm, 24-26 April 2024., 2024
Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, "Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis", Communications in Computer and Information Science (CCIS), ISSN 1865-0929, EISSN 1865-0937, EISSN 1826, Engineering Applications of Neural Networks, Springer Science+Business Media B.V., 2023
Veronica Sundstedt, Veselka Boeva, Hans-Juergen Zepernick, Prashant Goswami, Abbas Cheddad, Kurt Tutschku, Håkan Grahn, Emiliano Casalicchio, Markus Fiedler, Emilia Mendes, Shahrooz Abghari, Yan Hu, Valeria Garro, Thi My Chinh Chu, Lars Lundberg, Patrik Arlos, "HINTS", Linköping Electronic Conference Proceedings, ISSN 1650-3686, EISSN 1650-3740, EISSN 199, 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Linköping University Electronic Press, 2023
Jonne van Dreven, Veselka Boeva, Shahrooz Abghari, Håkan Grahn, Jad Al Koussa, Emilia Motoasca, "Intelligent Approaches to Fault Detection and Diagnosis in District Heating", Electronics, EISSN 2079-9292, Vol. 12, nr 6, MDPI, 2023
Elena Tsiporkova, Micheil De Vis, Sarah Klein, Aanna Hristoskova, Veselka Boeva, "Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models", Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023
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