H2020 INCOMING Newsletter No 1 H2020 INCOMING Newsletter No 1
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News

Category: News

H2020 INCOMING Newsletter No 1

Date: 30th September 2020.

H2020 INCOMING project is a flagship project of ICONIC centre that aims to upgrade the centre research and innovation activities in the following three years (2020-2022): https://incoming.ftn.uns.ac.rs/.

As part of the project, we are starting with a host of activies during 2020/2021. Read how the project is set up and the results in the first 9 months of the project in H2020 INCOMING Newsletter No 1.

Link on PDF document: Newsletter_NO1_September2020_ICONIC

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Innovation Fund Proof of Concept Project

Date: September 2020

The Proof of Concept project on federated learning empowered NB-IoT device for number recognition for legacy smart metering applications is approved for funding by Innovation Fund of Republic of Serbia. Congratulations to Dr Ivan Mezei, project lead, and all ICONIC staff involved in this research and development project.

Link: https://www.inovacionifond.rs/program/dokaz-koncepta

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Paper Published in Trans IT

Date: August 2020

Research paper entitled “Second- and Third-Order Asymptotics of the Continuous-Time Poisson Channel” with ICONIC researcher Mladen Kovacevic as a coauthor is published in IEEE Transactions on Information Theory. Congratulations!

Link: https://ieeexplore.ieee.org/document/9067090

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Massive NB-IoT testbed at ICONIC Centre

Date: June 2020

NB-IoT testbed with more than 100 custom-designed NB-IoT devices is being set up at ICONIC centre in collaboration with a mobile operator in Serbia. The devices will log large amount of data related to NB-IoT module communication, radio conditions and energy consumption. For preliminary information about our platform, please check our recent IEEE Smart IoT 2020 conference paper: https://arxiv.org/abs/2005.13648.

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Paper Published in IEEE ACCESS

Research paper entitled “High Bit-Depth Seismic Data Compression: A Novel Codec Under the Framework of HEVC” with ICONIC researcher Milos Radosavljevic and Dejan Vukobratovic as coauthors is published in premier IEEE open access journal IEEE Access. Congratulations!

Link: https://ieeexplore.ieee.org/document/9121267

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Paper Published in IEEE CLET

Date: June 2020

Research paper entitled “Adaptive Multi-Receiver Coded Slotted ALOHA for Indoor Optical Wireless Communications” with ICONIC researcher Dejan Vukobratovic as a coauthor is published in IEEE Communication Letters. Congratulations!

Link: https://ieeexplore.ieee.org/document/9037296

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ICONIC Media Presence on 5G Technology Impacts

Date: April 2020.

Prof. Dejan Vukobratovic (ICONIC, FTN) joined the talk show “Kontekst” along with Prof. Haris Gacanin (RWTH University of Aachen – Germany) and Prof. Petar Popovski (Aalborg University – Denmark) and discussion about the use and benefits of communication technologies in the times of pandemic. Watch the whole show (25 mins) at the following link: http://balkans.aljazeera.net/video/kontekst-5g-teorije-zavjere-i-digitalizacija

Prof. Vukobratovic was also guest on talk show “Medju Nama” on NOVA S Television Channel, discussing about modern communication systems such as 5G or Starlink micro-satellite constellations. The whole show is available on the following link: http://balkans.aljazeera.net/vijesti/vukobratovic-istrazivanja-i-stroga-ogranicenja-garantiraju-sigurnost-5g-mreza”>http://balkans.aljazeera.net/vijesti/vukobratovic-istrazivanja-i-stroga-ogranicenja-garantiraju-sigurnost-5g-mreza

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ICONIC Centre Researchers to Participate in H2020 INCISIVE

Date: 05.04.2020.

ICONIC centre Information Processing group lead by Dr Tatjana Loncar-Turukalo teamed with researchers from the Faculty of Medicine, University of Novi Sad have obtained funding by European Commission in H2020 Research and Innovation call AI for Health Imaging (DT-TDS-05-2020). Through this call EC invests €35 million to support the development of analysis of health images for cancer diagnostics based on Artificial Intelligence. The 42 months INCISIVE project (A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer) has been granted almost €10 million to develop and validate: (1) an AI-based toolbox that enhances the accuracy, specificity, sensitivity, interpretability and cost-effectiveness of existing cancer imaging methods, (2) an automated-ML based annotation mechanism to rapidly produce training data for machine learning research and (3) a pan- European repository federated repository of medical images. Within the project lifetime INCISIVE solution will be investigated in three validation studies for lung, breast and colorectal cancer, taking place in 8 sites, from 5 countries (Cyprus, Greece, Italy, Serbia and Spain), with participation of at least 2000 patients and a total duration of 1.5 year.

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Paper Published in Trans Automatic Control

Date: February 2020.

Research paper entitled “Distributed Second-Order Methods With Increasing Number of Working Nodes” with ICONIC researcher Dragana Bajovic as a coauthor is published in February issue of IEEE Transactions on Automatic Control. Congratulations!

Link: https://ieeexplore.ieee.org/abstract/document/8734732

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5G technology and ICONIC

Date: 17. January 2020.

Check out Radio-TV Vojvodina show “Nauka Privredi” (Science to Industry) that features ICONIC activities in the domain of 5G technology.

Link: https://www.youtube.com/watch?v=fXAtta5d5_U

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Paper Published in IEEE TCOM

Date: October 2019.

Research paper entitled “Zero-Error Capacity of Duplication Channels” with ICONIC researcher Mladen Kovacevic as an author is published in October issue of IEEE Transactions on Communications. Congratulations!

Link: https://ieeexplore.ieee.org/document/8776628

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