Krasimir Tonchev
Senior Researcher
Research keyword.
This 3-year project (2017-2019) is а fundamental research project funded by the “Scientific Research Fund of the Bulgarian Ministry of Research and Education”. The objective of the project is the development and testing of effective methods and algorithms for processing and analysis of signals and multi-dimensional heterogeneous data, evaluating behavior and the human impact, combined
Self-coordinating and Adaptive Wireless Cyber Physical Systems with Human in the Loop Read More »
Future wireless networks (FWNs) will need to efficiently and flexibly provide diversified services such as enhanced mobile broadband access, ultra-reliable low-latency communications (URLLC), and massive machine-type communications . RECOMBINE joins the scientific excellence and expertise of key academic and industrial players into a joint collaborative effort to build the framework for the design of FWNs beyond 5G that are able to support
Research Collaboration and Mobility for Beyond 5G Future Wireless Networks – “RECOMBINE” Read More »
The main objective of the project MOTOR5G is to motivate and skill competitive young researchers through involvement and engagement in a variety of research activities enabling them to work on real-life technical issues, across multiple European countries and organizations, and providing a strong networking opportunity through participation as speakers in conference and workshop events and through engagement with industry and other stakeholders
MObility and Training fOR beyond 5G Ecosystems – “Motor5G” Read More »
Nikolay N. Neshov, Krasimir Tonchev, Yuliyan Velchev, Agata Manolova, Vladimir Poulkov
2022 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2022
Ioannis Mallioras, Zaharias Zaharis, Pavlos Lazaridis, Vladimir Poulkov, Nikolaos Kantartzis, Traianos Yioultsis
2022 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2022
An Adaptive Beamforming Approach Applied to Planar Antenna Arrays Using Neural Networks Read More »
Georgios Kougioumtzidis, Vladimir Poulkov, Zaharias Zaharis, Pavlos Lazaridis
IEEE Access,Volume 10, Pages 19507 – 19538, 2022
A Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction Read More »
Georgios Kougioumtzidis, Vladimir Poulkov, Zaharias Zaharis, Pavlos Lazaridis
2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)
Machine Learning for QoE Management in Future Wireless Networks Read More »