Bálint Molnár
Bálint Molnár
Habil. Associate Professor
Full Member
Contact details
Address
1117 Budapest, Pázmány Péter sétány 1/c.
Room
2.509
Phone/Extension
8042
Links
  • 1.2 Computer and information sciences
    • information science
Information Systems

My area of research is related to problems and issues connected to information systems; to examine the reliability issues of information systems and the services they provide, including consistency, integrity, availability. The formal description of different information system models and architectures with mathematical tools that can be operationalized, algorithmically executed. Model verification and model program generation is one direction of our research. Examining process organization, modeling, and execution as well as the reliable operation of service-oriented architectures in an enterprise / institutional environment. For obsolete, old, and information systems to be upgraded, the research focuses on the data architecture layer, database schema, and the investigation of ontologies matching, mapping, and migration using state-of-the-art data science and machine learning methods. Investigation of the usability of different information system modeling approaches and architectures in the case of health and financial IT systems is a further research area.

Information Systems

My area of research is related to problems and issues connected to information systems; to examine the reliability issues of information systems and the services they provide, including consistency, integrity, availability. The formal description of different information system models and architectures with mathematical tools that can be operationalized, algorithmically executed. Model verification and model program generation is one direction of our research. Examining process organization, modeling, and execution as well as the reliable operation of service-oriented architectures in an enterprise / institutional environment. For obsolete, old, and information systems to be upgraded, the research focuses on the data architecture layer, database schema, and the investigation of ontologies matching, mapping, and migration using state-of-the-art data science and machine learning methods. Investigation of the usability of different information system modeling approaches and architectures in the case of health and financial IT systems is a further research area.

Information Systems - Financial Services Technologies
Financial services technologies, blockchains, artificial intelligence, machine learning, data science, large language models in financial information systems.
  • 2024 – Pisoni, Galena; Molnár, Bálint; Tarcsi, Ádám – Knowledge Management and Data Analysis Techniques for Data-Driven Financial Companies – mtmt.hu
  • 2024 – Molnár, Bálint; Báldy, Péter; Menyhard-Balázs, Krisztina – Architectures of Contemporary Information Systems and Legal/Regulatory Environment – mtmt.hu
  • 2025 – Prieto, Javier; Vargas, Rafael Pastor; Lage, Oscar; Machado, José Manuel; Bálint, Molnár – Blockchain and Applications, 6th International Congress – mtmt.hu
  • 2025 – Hudec, Miroslav et al. – The synergy of statistical and fuzzy logic approaches in mining patterns from the Peer-to-Peer lending data – mtmt.hu
  • 2025 – Bálint, Molnár; Galena, Pisoni; Hanna, Kristín Skaftadóttir; Szabolcs, Korba – Fintech Regulations in Europe and USA – mtmt.hu