Research Group
Viera Rozinajová
Research areas: data analytics, predictive modeling, optimization, anomaly detection, energy domain
Position: Lead and Researcher
Viera is a senior researcher focusing on intelligent data analysis, particularly predictive modeling, anomaly detection and optimization. She has been active in the artificial intelligence area for a long time. Before her employment at KInIT, she worked as an associate professor at the Faculty of Informatics and Information Technologies at the Slovak University of Technology in Bratislava (FIIT STU), where she headed up the Big Data Analysis group. She has authored/co-authored more than 80 publications in scientific journals and conferences. She has participated in more than 35 national and international research projects and has led several of them. She regularly reviews submissions to scientific journals (Springer, Elsevier, IEEE) and international conferences. She was 8 years a vice-dean of FIIT STU responsible for research, projects and industry co-operation.
She worked for 4 years as a research fellow at the University of Stuttgart. She is a member of IFIP TC8 (Technical Committee 8 – Information Systems) as a national representative of Slovakia.
As a manager and research leader, Viera coordinates the ENVIRO team, develops collaborations with industry partners and helps to transfer scientific results into real-world applications. A key part of her philosophy is building bridges between academia and industry – something she sees as central to KInIT’s mission and to the practical impact of environmental and energy research.
Selected activities
- member of IFIP TC8 (Information Systems) as a national representative of Slovakia
Activities in the past:
- research fellow at the University Stuttgart
- vice-dean responsible for research, projects and industrial cooperation at FIIT STU
- vice-chairman of the Scientific Board of the Slovak Research Centre for Artificial Intelligence
- guarantor of the PhD study at FIIT STU
- member of the Scientific Board of FIIT STU
- reviewer of dissertation (9) and habilitation (4) theses
- member of executive committee of Slovak Society for Computer Science
- member of state examination committees at several universities
Professional Service
- Member (or former member) of ACM – Association for Computing Machinery, IFIP – International Federation for Information Processing, Slovak Research Centre for Artificial Intelligence Research, Slovak Society for Computer Science
- Reviewer for grant agencies: Japan Science and Technology Agency, SASPRO2, APVV, VEGA, KEGA, GAČR
Selected Projects
Selected Publications
Fully differentiable Lagrangian convolutional neural network for physics-informed precipitation nowcasting
Pavlík, P., Výboh, M., Bou Ezzedine, A., Rozinajová, V. This paper presents a convolutional neural network model for precipitation nowcasting that combines data-driven learning with physics-informed domain knowledge. We propose…
Do Echo Top Heights Improve Deep Learning Rainfall Nowcasts? A Case Study in the Netherlands
Pavlík, P., Schleiss, M.1, Bou Ezzedine, A., Rozinajová, V. 1 Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands Precipitation nowcasting – the short-term prediction of rainfall…
She is author/coauthor of more than 70 publications in journals and conference proceedings.
Selected Student Supervising
She has successfully supervised more than 80 bachelor and master theses and 6 doctoral theses.
PhD
- Pavlík Peter – Intelligent data analysis. Industrial partner: Softec. Ongoing
- Kloska Matej – Advanced Methods of Anomaly Detection. Defended in 2023
- Lóderer Marek – Application of Biologically Inspired Algorithms in Prediction Based on Ensemble Learning. Defended 2021
- Vrablecová Petra – Predictive Analytics on Data Streams. Defended 2019
- Blšták Miroslav – Automatic Question Generation Based on Sentence Structure Analysis. Defended 2018
- Šelméci Roman – Application of Design Patterns in Service Oriented Architecture. Defended 2018
Masters
- Kubica Adrián – Microgrid optimization. Defended 2021
- Halás Michal – Management of energy sharing in micronetworks. Defended in 2021
- Kováč Alan – Optimization of microgrid operation using data analytics methods. Defended in 2021
- Staškovan Michal – Methods of feature selection in research of oncology diseases. Defended in 2019
- Prekala Martin – Optimization of energy production and consumption. Defended in 2018
Bachelors
- Sagan Samuel – Analysis and Visualization of data in Energy Domain. Defended in 2020
- Džurman Kamil – Tool for comparison of optimization algorithms. Defended in 2019
- Halás Michal – Application for drivers of electric cars. Defended in 2019
- Pavlík Peter – Dynamic Weighted Majority in Ensemble Learning. Defended in 2018