News

𝐈𝐄𝐄𝐄 – 𝐒𝐏𝐒/𝐄𝐔𝐑𝐀𝐒𝐈𝐏 𝐒𝐮𝐦𝐦𝐞𝐫 𝐒𝐜𝐡𝐨𝐨𝐥 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐆𝐫𝐚𝐩𝐡 𝐃𝐫𝐢𝐯𝐞𝐧 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐒𝐢𝐠𝐧𝐚𝐥 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠

PhD students Tijana Devaja, Ognjen Kundačina and Vukan Ninković present their research at 𝐈𝐄𝐄𝐄 – 𝐒𝐏𝐒/𝐄𝐔𝐑𝐀𝐒𝐈𝐏 𝐒𝐮𝐦𝐦𝐞𝐫 𝐒𝐜𝐡𝐨𝐨𝐥 2022 𝐨𝐧 “𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐆𝐫𝐚𝐩𝐡 𝐃𝐫𝐢𝐯𝐞𝐧 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐒𝐢𝐠𝐧𝐚𝐥 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠”, Banja Luka, Sept- 5-9, 2022. The event brought more than 60 students and 10 lecturers from all over the Europe and USA. Congrats to Gordana Gardašević and her team for excellent organisation. Prof. Dejan Vukobratovic presented a lecture on “Gaussian Belief Propagation: Theory and Applications”, which is available on this link.

New director and leadership of ICONIC

Date: 01st October 2021.

A new leadership of ICONIC centre for the following three years (2021-2024) will be:

Director: Prof. Rastislav Struharik

Communications group leader: Prof. Dejan Vukobratovic
Information Processing group leader: Assoc. Prof. Dragana Bajovic
System Design group leader: Assoc. Prof. Ivan Mezei

Congratulations to newly elected researchers with best wishes for successful evolution of ICONIC centre in the following years.

Paper Published in IEEE CLET

Date: September 2021

Research paper entitled “Autoencoder-Based Unequal Error Protection Codes” with ICONIC researchers Vukan Ninkovic and Dejan Vukobratovic as a coauthors is published in IEEE Communication Letters. This paper is a result of collaboration between ICONIC and Chalmers University of Technology researchers as part of H2020 INCOMING project. Congratulations!

Link: https://ieeexplore.ieee.org/document/9525108

ICONIC and COPELABS team won IEEE VTS UAV Innovation Challenge

Date: 28th June 2021.

After winning the first phase of the competition, we are proud to announce that our PhD students won the second and final stage of UAV Innovation Challenge organized by IEEE Vehicular Technology Society. Student team of ICONIC FTN-UNS team lead by Srđan Šobot and with participation of Dušan Bortnik and Vladimir Nikić, along with Brena Lima, PhD student from COPELABS – University of Lusofona, Lisbon, worked together to develop the solution. The first phase solution is presented in the following video: https://www.youtube.com/watch?v=QU0vkbEcO1w while the final solution is presented as part of the TV Show Science for Economy on this link: https://www.youtube.com/watch?v=3_Px0hAjpVE. Congratulations!!!

ICONIC team in H2020 MARVEL project

Date: June 2021.

ICONIC team lead by Dr Dragana Bajovic is participating in H2020 MARVEL project (Multimodal Extreme Scale Data Analytics for Smart Cities Environments). The group recently started with initial experiments that use drones for observation of crowd behaviour in the city of Novi Sad. Crowd classification based on drone and ground recordings will be performed in the experimental setup. Data collection will be performed in the form of staged recordings designed so as to replicate the crowd-monitoring events of interest for training.

For more information about these experiments, read the following blog on MARVEL website: https://www.marvel-project.eu/smart-events-observation-of-crowd-behavior-in-the-city-of-novi-sad/

Prof Dragana Bajovic lecture at Data Week 2021

Date: 25-27. May 2021.

Data Week is the spring gathering of the European Big Data Value and Industrial AI research and innovation community. As part of the workshop entitled ‘Building the data-agile economy from the demand side: evolving business drivers and digital transformation scenarios’, Prof. Dragana Bajovic presented (MARVEL Scientific & Technical Manager) was invited to present H2020 MARVEL plans to take full advantage of the DataBench Toolbox to define the business and technical benchmarks for the evaluation of the MARVEL solution.

For more information about H2020 MARVEL, please see: https://www.marvel-project.eu/.

H2020 C4IIoT results in IEEE Access

Date: April 2021

Research paper entitled “Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics” with the team of ICONIC researchers including Milan Lukic, Ivan Mezei, Dragana Bajovic and Dejan Vukobratovic as coauthors is published in IEEE Access. This paper presents a part of results obtained during the team activities in H2020 C4IIoT project. Congratulations!

Link: https://ieeexplore.ieee.org/document/9402912

ICONIC researchers part of H2020 MARVEL

Date: 01st January 2021.

H2020 project MARVEL (Multimodal Extreme Scale Data Analytics for Smart Cities Environments) kick-started in January 2021. ICONIC centre researcher Prof. Dragana Bajovic is a Scientist in Charge on behalf of the University of Novi Sad, she is Technical Coordinator of H2020 MARVEL, and the project will involve a number of researchers from ICONIC. For more information about the project, please see the project webpage: https://www.marvel-project.eu/.

ICONIC Team Received 1st Prize on IEEE VTS UAV Challenge

Date: December 2020.

Great news for the end of the year! Our PhD student team lead by Srdjan Sobot that includes Dusan Bortnik and Vladimir Nikic (ICONIC, University of Novi Sad) and Brena Lima (COPELABS, Lusofona University) won the first prize and qualified for Stage 2 of IEEE Vehicular Technology Society UAV Innovation Challenge with their design entry entitled “Two-Tier UAV-based NB-IoT Networks for Coordinated Missions in Deep Rural Environments”. Looking forward to deployment stage!

Link for IEEE VTS Innovation Challenge: https://events.vtsociety.org/vtc2020-fall/authors/vts-innovation-challenge-for-students/

Paper Published in Proceedings of the IEEE!

Date: November 2020

Research paper entitled “Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics” with ICONIC researcher Dragana Bajovic as a coauthor is published in flagship IEEE journal Proceedings of the IEEE. Congratulations!

Link: https://ieeexplore.ieee.org/document/9151295

Paper Published in IEEE TVT

Date: October 2020

Research paper entitled “Mixed RF-VLC Relaying Systems for Interference-Sensitive Mobile Applications” with ICONIC researchers Milica Petkovic, Milan Narandzic and Dejan Vukobratovic as coauthors is published in IEEE Transactions on Vehicular Technology. Congratulations!

Link: https://ieeexplore.ieee.org/document/9136906