CryDeG paper presented at BCCA-24
December 17, 2024

Dr. Hamza Baniata from the Department’s IoT-Cloud group presented a paper titled “CryDeG: Towards Standardized Cryptocurrency Decrees”, co-authored with Prof. Attila Kertész, at the 6th international conference on Blockchain: Computing and Applications (BCCA-2024) held in Dubai, UAE between 25-30 November, 2024.
A Guide to European Data Protection (GDPR): Training and Education
December 3, 2024

Dr. Zoltán Alexin and Dr. Attila Kertész (Department of Software Engineering) participated in the 1st EUGLOH Data protection training, organized by the Faculty of Law and Political Sciences.
Editorial board member promotion
November 21, 2024

Dr. András Márkus (Department of Software Engineering) has recently been promoted to full editorial board member of the Future Generation Computer Systems (FGCS) journal.
Estimating the level of anonymity of databases
October 21, 2024

Dr. Zoltán Alexin held a lecture about the meaning of “anonymous” data on October 2., at the 8th Privacy Days Praha conference in Prague, organized by the European Federation of Data Protection Officers.
Paper published in ACM Proceedings
September 19, 2024

The paper titled “GreeDDy: Accelerate Parallel DDMIN” written by Dániel Vince and Ákos Kiss (Department of Software Engineering) has been published in the A-TEST 2024: Proceedings of the 15th ACM International Workshop on Automating Test Case Design, Selection and Evaluation.
Paper on PyBugHive bug database published in IEEE Access
September 13, 2024

The article titled “PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs” written by Gábor Antal, Norbert Vándor, István Kolláth, Balázs Mosolygó, Péter Hegedűs, and Rudolf Ferenc (Department of Software Engineering) has been accepted into the Q1 journal IEEE Access.
Paper accepted into the Q1 Journal “Quantum Machine Intelligence”
July 26, 2024

The article titled “SoK: quantum computing methods for machine learning optimization” authored by Dr. Hamza Baniata (IoT-Cloud Group, Department of Software Engineering) has been accepted into Springer Nature’s Q1 journal Quantum Machine Intelligence.
