Tibor Gyimóthy is a corresponding member of the Hungarian Academy of Sciences (MTA), full professor at the Software Engineering Department at the University of Szeged in Hungary and the head of the MTA-SZTE Research Group on Artificial Intelligence. His research interests are concentrated on high quality software development and maintenance, natural language processing and applied machine learning. His main contributions are methods and tools for identifying and predicting harmful program elements in the source code. He published over 210 research papers with more than 2600 independent citations. The software maintenance tools developed in his team are used by numerous software companies in the world. His scientific contributions were awarded with the Széchenyi Professor Grant, László Kalmár Award, HAS Academic Prize, Gábor Dénes Award and Szent-Györgyi Albert Prize. Tibor Gyimóthy is four-time program committee member of the International Conference on Software Engineering (ICSE), which is the most significant software engineering conference in the world. In 2011, Tibor Gyimóthy was elected the Conference Chair of the European Software Engineering Conference (ESEC)/ ACM Foundations of Software Engineering (FSE).
Bán D, Ferenc R, Siket I, Kiss Á, Gyimóthy T. 2018. Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware. Journal of Supercomputing. 75, pages 4001–4025, 2019
Hodován R, Kiss Á, Gyimóthy T. Grammarinator: A Grammar-based Open Source Fuzzer. Proceedings of the 9th Workshop on Automating Test Case Design, Selection and Evaluation, A-TEST 2018.
Gyimóthy T, Ferenc R, Siket István. 2005. Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction. IEEE Transactions on Software Engineering. 31:897-910.