About us
The mission of the Laboratory of Multimedia Networks and Services (MEDIANETS) is to combine traditional strengths in networking with new competences in articifial intelligence, applying it to smart city environment. Research and development activities include machine learning and data analytics for intelligent and automated cities, V2X communication and intelligent transportation systems. MEDIANETS is active in significant European and national research projects, together with R&D projects carried out with our partners from the ICT industry. MEDIANETS’ teaching activity spans over the whole BSc-MSc-PhD structure. Along with courses in computer networks and V2X communications (in Hungarian and English), it is responsible for two BSc and one MSc specializations.News
"Best Student Paper Award" received by Péter Pálos
Our student, Péter Pálos received Best Student Paper Award from the Committee of 44th International Conference on Telecommunications and Signal Processing (TSP). The honored paper titled "ReLight-WCTM: Multi-Agent Reinforcement Learning Approach for Traffic Light Control within a Realistic Traffic Simulation" investigates machine learning based approach for traffic light control in urban areas. More...
C-ITS/V2X R&D activities in our Laboratory
The V2X Communication Research Group of our Laboratory is contracted by Magyar Közút as a partner for the third year now involved in Cooperative Intelligent Transport Systems (C-ITS) harmonization, evaluation and deployment within the framework the European C-ROADS Platform. Besides that our research group is also a member of the two consortia led by Utiber and Roden to design the M9 and M76 smart motorways by the order of the National Infrastructure Developing Ltd. More...
Developing an intelligent transportation system in our Lab
We have launched in Hungary a new, government financed R&D project (funded by the the National Research, Development and Innovation Office) to develop an intelligent transportation system, a new solution for the needs of urban mobility based on artificial intelligence, which will enable substantial progress in real-life control of the city traffic. Our team is focusing on the stream processing of big data, machine vision and prediction of future traffic conditions, based on historical data, using machine learning and classification methods. More...
New members in our Lab
We proudly announce that this September the number of active members of the MEDIANETS laboratory has been increased by four (to 26 members): a research fellow and three PhD students have joined the team.
Péter A. Kara received his PhD degree from Kingston University in 2020. He was a research associate of the WMN Research Group in London, investigating the Quality of Experience (QoE) of UHD, HDR and autostereoscopic 3D visualization technologies. Simultaneously, he has also been working together with Holografika Ltd. on light field QoE. Besides QoE and light field, his research interests also include cognitive bias and crowdsourcing methodologies. More...