Research Group
Anna Bou Ezzeddine
Research areas: nature inspired computing, optimization, machine learning
Position: Researcher
Anna conducts research focused on energy production and consumption forecasting, as well as microgrid optimization. She has rich experience in nature-inspired computing, optimization, knowledge discovery and data mining. In particular, she used nature-inspired computing to help develop a forecasting system that could predict a country’s macroeconomic development.
She worked for two years as a researcher at the American University of Beirut and for 7 years as an assistant professor at the University of Libya. After these stays abroad, she worked at the Slovak University of Technology in Bratislava as an associate professor, where she supervised more than 80 successful Bachelor’s and Master’s theses.
To support the community, she works as a reviewer of the international conferences ICCART, AI & Data Science, Big Data Conference, and AI & Data Science in Trading. She is a reviewer for several international journals in Elsevier, Springer, IEEE, Taylor & Francis and is a member of ACM, IEEE and IFIP. She has participated in research projects in co-operation with industry partners Atos and sféra.
Professional Service
Member of
Reviewer for journals
Reviewer for conferences and workshops
- ICCART
- AI & Data Science
- Big Data Conference
- AI & Data Science in Trading
Selected Projects
Other notable projects
Knowledge-Based Approaches for Intelligent Analysis of Big Data
APVV-16-0213. 2017-2021. Partner: Technical University of Kosice (prof. Jan Paralic), Rozinajova, V. – principal investigator for FIIT STU until August 2020
Tumor Heterogeneity in Multiple Myeloma: Evolution and Clinical Significance
APVV-16-0484. 2017-2021, Lucka, M. – principal investigator at FIIT STU
International Centre of Excellence for Research of Intelligent and Secure Information-Communication Technologies and Systems
ITMS 26240120039. 2014-2015. Partner: Atos IT Solutions and Services s.r.o., Rozinajova, V. – principal investigator for FIIT STU
International Centre of Excellence for Research of Intelligent and Secure Information-Communication Technologies and Systems – II. Stage
ITMS 313021W404. Partner: Atos IT Solutions and Services s.r.o. , Rozinajova, V. – principal investigator for FIIT STU until August 2020
Innovative Methods of Teaching Informatics in Large Groups with Support for Online Education
KEGA 028STU-4/2017. 2017-2019, Bielikova, M. – principal investigator
Errors and Uncertainties in DNA Sequencing: Algorithms and Models
VEGA 1/0458/18. 2018-2021, Partners: Comenius University in Bratislava (assoc. prof. Tomáš Vinař), Lucka, M. – principal investigator
Selected Publications
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