László Vidács is a senior research fellow, deputy head of the MTA-SZTE Research Group on Artificial Intelligence, while his research is strongly connected to the Department of Software Engineering, University of Szeged. He received his PhD in 2010 from the University of Szeged. He received 2 best paper awards at leading conferences. He continuously takes part in R&D projects based on academia/industry collaborations with leading national and international companies like Samsung Research (UK), Nokia Siemens Networks (HU), NNG Ltd. (HU). He is recently working on artificial intelligence applications with a special interest in natural language processing and various deep learning methods.

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Selected publications

  • László Tóth, Balázs Nagy, Tibor Gyimóthy, László Vidács: Why Will My Question Be Closed? NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack Overflow, In Proceedings of the 42nd International Conference on Software Engineering, NIER Track (ICSE 2020), ACM, pp. 105-108, 2020
  • Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimothy T, Kocsis F.: Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90, 2019