July 7, 2021

The University of Szeged is participating in the NGI TruBlo EU H2020 project.

July 5, 2021

Dr. Zoltán Alexin (Department of Software Engineering) has been the leader of Working Group 2 in the Net4Age project since its start last November.

June 10, 2021

Dr. Zoltán Alexin (Department of Software Engineering) has recently published an article in the GDPR focused special edition of Med. Et. Jur, a prestigious Hungarian journal dedicated to health law.

May 25, 2021

May 21, 2021

A paper written by Dániel Vince, Renáta Hodován, Daniella Bársony, and Ákos Kiss, titled “Extending Hierarchical Delta Debugging with Hoisting” has been published recently.

May 20, 2021

The Institute of Informatics at our University has joined the Artificial Intelligence National Laboratory (MILAB).

MILAB is a coordinated national artificial intelligence umbrella organization created to facilitate the collaboration between major research centers, universities, and large-scale national programs with the goal of strengthening Hungary's position in AI.

May 06, 2021

An article titled “Assessing anthropogenic heat flux of public cloud data centers: current and future trends”, written by Hamza Baniata​, Sami Mahmood, and Attila Kertész (Department of Software Engineering) has been published in the prestigious open access journal PeerJ.

May 05, 2021

András Márkus (Department of Software Engineering) has won the CLOSER 2021 Best Poster Award!

His work, titled "Modelling Energy Consumption of IoT Devices in DISSECT-CF-Fog" introduces their approach to simulating IoT devices with minimal power consumption to reduce carbon footprint and maintenance costs.

April 19, 2021

A paper titled “FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems” by Hamza Baniata​ and Attila Kertész (Department of Software Engineering) has been published in the prestigious open access journal PeerJ.

March 29, 2021

Paper has been accepted for the first ICCQ Conference that was held in Moscow (online) in March.

The paper, titled “Towards a Prototype Based Explainable JavaScript Vulnerability Prediction Model”, authored by Balázs Mosolygó, Norbert Vándor, Gábor Antal, Péter Hegedűs, and Rudolf Ferenc (Department of Software Engineering).