UNITe Sponsors

Universities for Science, Informatics and Technology in the e-Society – “UNITe”

Main Goal

The UNITe project is a result of the ambition of many scientists working at partner universities in the country to achieve a common organisational structure that will assist in the implementation of new ideas, projects, research and their dissemination. The general framework of the consortium will allow joint participation in various initiatives of the Ministry of Education and Science (MES), applications for calls under H2020-funded research, research and infrastructure projects, EU Structural Funds, MES Funds and other funding organisations and institutions.

The main goals of the UNITe project team are to support the coordination of scientific and educational activities in computer sciences at the partner universities and to work actively for the development of information and communication technologies in the public interest.

Project Objectives

In the frame of the project implementation until year 2023, a functioning Centre of Excellence (CoE UNITe) as a highly competitive and internationally recognised research complex will be established which to meet the requirements for a modern infrastructure and a high level of scientific research in the priority area of the Innovation Strategy for Smart Specialisation (ISSS) – Informatics and ICT. The Centre will be of a Distributed Research Infrastructure (DRI) type.

Posts related to this project

TeliLab members related to this project

Yana Tsankova

Yana Tsankova

Technical Assistant
Antoni Ivanov

Antoni Ivanov

Postdoc Researcher
Krasimir Tonchev

Krasimir Tonchev

Senior Researcher
Agata Manolova

Agata Manolova

Affiliate Researcher

Publications related to this project

Automatic Modulation Classification using Graph Convolutional Neural Networks for Time-frequency Representation

Krasimir Tonchev; Nikolay Neshov; Antoni Ivanov; Agata Manolova; Vladimir Poulkov
2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC)

SoftVotingSleepNet: Majority Vote of Deep Learning Models for Sleep Stage Classification from Raw Single EEG Channel

Nikolay N. Neshov, Krasimir Tonchev, Yuliyan Velchev, Agata Manolova, Vladimir Poulkov
2022 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2022

Kinect sensors network calibration in controlled environment based on semantic information

Krasimir Tonchev, Nikolay Neshov, Radostina Petkova, Agata Manolova, Vladimir Poulkov
2022 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2022

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Antoni Ivanov, Krasimir Tonchev, Vladimir Poulkov, Agata Manolova, Nikolay N. Neshov
Sensors 2022, 22(15), 5778

MEOD: Memory-Efficient Outlier Detection on Streaming Data

Ankita Karale, Milena Lazarova, Pavlina Koleva, Vladimir Poulkov
Symmetry, 2021, 13(3), 458

Research Fields

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