Research Group
Anna Bou Ezzeddine
Research areas: machine learning, physics-informed machine learning, artificial intelligence, prediction and optimization methods, metaheuristic and nature inspired computation
Position: AI Specialist
Anna is a researcher specializing in the application of artificial intelligence to energy and environmental systems. Her work focuses on Scientific Machine Learning, forecasting, and optimization methods for energy systems. At KInIT, she contributes to research exploring advanced AI approaches, including Physics-Informed Neural Networks (PINNs), which combine data-driven models with physical principles and can support applications such as weather forecasting for renewable energy integration.
Before joining KInIT, she worked as a researcher at the American University of Beirut and as an assistant professor at the University of Libya. She later joined the Slovak University of Technology in Bratislava as an associate professor, where she supervised more than 80 successful Bachelor’s and Master’s theses. Throughout her career, she has participated in several national and international research and industry projects.
At KInIT, Anna contributes to research and industry collaborations focused on transferring advanced AI methods into practice. She is involved in the V4Grid project, supporting innovation in smart energy systems, and serves as a reviewer for international conferences and journals published by IEEE, Elsevier, Springer, and Taylor & Francis.
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…
Selected Student Supervising
Master
- Šárik Slavomír – Stream processing of big data. Defended 2015
- Kasala Štefan – Use of biologically inspired algorithms in DNA folding. Defended 2013
- Slížik Lukáš – Opinion mining system. Defended 2010
- Martinkovič Milan – Linking DNA fragments using biologically inspired algorithms. Defended 2013
- Sabo Štefan – Online retrieval of information from text sources. Defended 2010
- Coranič Matúš – Obtaining information from the web environment. Defended 2009
- Kuzár Tomáš – Finding out the interests of web users. Defended 2007
- Šoltis Martin – Optimization of transport tasks. Defended 2006
- Horný Peter – Use methods of discovery knowledge from databases for the banking sector. Defended 2004
Bachelor
- Sumega Miroslav – Nature-inspired computing in practice. Defended 2019
- Mrva Jakub – Dynamic processes and their optimization. Defended 2018