Péter Hegedűs received his PhD degree in computer science from the University of Szeged in 2015. He currently works as a researcher both at the Software Engineering Department of University of Szeged and the MTA-SZTE Research Group of Artificial Intelligence.
His research interests include software maintainability models, deep learning applications, source code analysis, and vulnerability detection and prediction. He was a PC member in the CSMR, MSR, ICCSA and SQM conferences and currently holds a Bolyai János research scholarship. Besides teaching and research involvement, he also takes part in various software development projects as a project manager and lead developer.
Rudolf Ferenc, Tamás Viszkok, Tamás Aladics, Judit Jász, and Péter Hegedűs. Deep-water framework: The swiss army knife of humans working with machine learning models. SoftwareX, 12:100551, 2020.