May 15, 2026
Our research team at the University of Szeged, led by Dr. Pál Pásztor, has received an Innovation Award and Proof of Concept support for the DoseLearn project.
August 8, 2025
The University of Szeged entered a cross-border environmental cooperation between Nagyvárad and Békéscsaba, which is being implemented with the support of the Interreg VI-A Romania-Hungary Program.
January 29, 2025
The Okinawa Institute of Science and Technology (OIST) held an Ideathon within the frame of a joint research project between Japanese and European universities to create sustainable and accessible public transportation. Dr. Attila Kertész took part in the event on behalf of our university as the European PI.
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.
May 14, 2024
Dr. András Márkus held a talk titled “Synergizing Fuzzy-based Task Offloading with Machine Learning-driven Forecasting for IoT” at the 8th IEEE International Conference on Fog and Edge Computing (ICFEC 2024), held between May 6-9, in Philadelphia, USA.
April 03, 2024
Researchers from the University of Szeged (SZTE) have developed, in cooperation with the Buda Health Centre Ltd. and IFUA Horváth & Partners Ltd., an application that can diagnose MR images of the spine.
The HUF 1.179 billion R&D project was funded by the National Research, Development, and Innovation Office.
July 4, 2023
The Optimal Management of Demand (OMD) project’s first review meeting was held successfully on the 23rd of June.
April 4, 2023
The article titled “Privacy-preserving Federated Learning and its application to natural language processing” written by Balázs Nagy, István Hegedűs, Noémi Sándor, Balázs Egedi, Haaris Mehmood, Karthikeyan Saravanan, Gábor Lóki, and Ákos Kiss has been accepted into the prestigious journal Knowledge-Based Systems.
February 21, 2023
In cooperation with the University of Szeged, Balasys IT Ltd. is developing network security solutions combining state-of-the-art technologies optimized for cybersecurity tasks in industrial environments.
January 17, 2023
An article titled “The Actigraphy-Based Identification of Premorbid Latent Liability of Schizophrenia and Bipolar Disorder” written by Ádám Nagy et al. [1] has been accepted into the leading open access Q2 scientific journal Sensors (impact factor: 3.847).
