Vukan Ninkovic

Vukan Ninkovic, Ph.D.

Research Associate, The Institute for Artificial Intelligence Research and Development of Serbia — Postdoc/Teaching Assistant, Faculty of Technical Sciences, University of Novi Sad

About

Machine learning and wireless communications, with emphasis on distributed intelligence and efficient, task-aware information processing in edge systems.

Vukan Ninkovic received his BSc and MSc degrees in Electrical and Computer Engineering from the Faculty of Technical Sciences, University of Novi Sad, Serbia, in 2018 and 2019, respectively, where he was awarded the Telenor Foundation "Professor Ilija Stojanović" Award for the best BSc graduate in communications and signal processing. He obtained his PhD in Power, Electronic, and Communication Engineering in November 2024 from the same institution.

He is currently a Research Associate at the Institute for Artificial Intelligence Research and Development of Serbia and a Postdoc/Teaching Assistant at the Faculty of Technical Sciences. His research lies at the intersection of machine learning and wireless communications, with a focus on distributed intelligence, edge AI, and efficient information processing over wireless networks. His work explores how learning and communication can be jointly designed to enable intelligent systems under practical constraints on computation, energy, latency, and connectivity, with a growing focus on Physical AI and real-time intelligent systems.

Experience

Positions held
03/2025–
Present
Research Associate (Part-time)
The Institute for Artificial Intelligence Research and Development of Serbia

Working on distributed AI and communication-efficient learning systems for edge environments, including split learning and resource-aware system design. Contributing to research proposal development and international project preparation.

02/2024–
02/2025
Research Assistant (Part-time)
The Institute for Artificial Intelligence Research and Development of Serbia

Worked on split learning and communication-efficient AI methods for distributed inference in edge and IoT systems.

10/2021–
Present
Postdoc/Teaching Assistant (Part-time since 02/2024)
Faculty of Technical Sciences, University of Novi Sad

Teaching courses in communications, signal processing, and machine learning. Conducting research on machine learning-based physical layer design and autoencoder-based communication systems.

01/2020–
09/2021
Junior Research Assistant
Faculty of Technical Sciences, University of Novi Sad

Developed deep learning-based methods for synchronization tasks in wireless systems, including packet detection and carrier frequency offset estimation.

Education

Degrees
2019–
2024
Ph.D., Power, Electronic and Communication Engineering
Faculty of Technical Sciences, University of Novi Sad, Serbia

Defended 01/11/2024. Supervisor: Prof. Dejan Vukobratović.

"Machine learning-based improvement of the physical layer design in wireless communication systems"
Applied machine learning to the design and optimization of the physical layer in wireless communication systems, spanning block-level and end-to-end approaches. At the receiver level, deep learning methods were developed for synchronization tasks, including packet detection and carrier frequency offset estimation. At the system level, autoencoder-based architectures enabled end-to-end communication design, with emphasis on unequal error protection and robust coding for non-standard scenarios — contributing to reduced algorithmic complexity and data-driven design of next-generation wireless systems.
2018–
2019
M.Sc., Power, Electronic and Communication Engineering
Faculty of Technical Sciences, University of Novi Sad, Serbia

Defended 05/07/2019.

2014–
2018
B.Sc., Power, Electronic and Communication Engineering
Faculty of Technical Sciences, University of Novi Sad, Serbia

Defended 06/09/2018.

Awards & Honors

Prizes & scholarships

Publications

Selected

The list below may lag behind the latest record. Full & up-to-date list on Google Scholar ↗

Journal Publications Conference Publications

Projects

Funded research
2023–
2026
REMARKABLE
H2020 MSCA-RISE — Rural Environmental Monitoring via Ultra-Wide-Area Networks and Distributed Federated Learning (No. 101086387) · Scientist in Charge: Prof. Maja Turk-Sekulic

Developed split learning frameworks and communication strategies for distributed AI in rural IoT networks.

2023–
2025
REWARDING
Science Fund of the Republic of Serbia — Remote Water Quality Monitoring and Intelligence (No. 6707) · Scientist in Charge: Prof. Dejan Vukobratović

Worked on distributed AI and split learning for real-world water quality monitoring, integrating IoT sensing, UAV-assisted communication, and data-driven prediction models.

2020–
2023
INCOMING
H2020 Twinning — Innovation and Excellence in Massive-Scale Communications and Information Processing (No. 856967) · Scientist in Charge: Prof. Dejan Vukobratović

Developed AE-based rateless and UEP coding schemes in collaboration with partners from Chalmers University of Technology.

2020–
2023
COLLABS
H2020 Industrial Leadership — A Comprehensive Cyber-Intelligence Framework for Resilient Collaborative Manufacturing Systems (No. 871518) · Scientist in Charge: Prof. Dusan Jakovetic

Contributed to IoT security in industrial environments, focusing on device localization and data-driven system modeling.

2017–
2021
SENSIBLE
H2020 MSCA-RISE — Sensors and Intelligence in Built Environment (No. 734331) · Scientist in Charge: Prof. Dejan Vukobratović

Participated in international research collaboration on sensing and intelligent systems.

Talks & Service

Engagement
Invited Presentations
08/2026
"Task-Aware Semantic Split Learning: An Adaptive Unequal Error Protection Approach"
International Workshop on Intelligent Wireless Systems for Communications, Computing and Sensing, RWTH Aachen University, Aachen, Germany · 27 August 2026
03/2026
"When Learning Meets the Channel: Edge AI through Split and Semantic Design"
School on Applied AI for Sustainable Development, The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy · 23–27 March 2026
Research Visits & International Exposure (Selected)
07/2026
REMARKABLE, H2020 MSCA-RISE
Universitat Politècnica de València (UPV), Valencia, Spain
04/2025
REMARKABLE, H2020 MSCA-RISE
Lusófona University, Lisbon, Portugal
12/2024
REMARKABLE, H2020 MSCA-RISE
Stellenbosch University, Cape Town, South Africa
07/2024
COST INTERACT 5th Training School — AI/ML for 6G Communication Networks
Barcelona, Spain
01–02/2024
REMARKABLE, H2020 MSCA-RISE
The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
08/2023
INCOMING, H2020 Twinning — Workshop at AAU Copenhagen
Copenhagen, Denmark
01–02/2023
COST INTERACT Short-Term Scientific Mission (STSM)
CTTC, Barcelona, Spain
01/2023
INCOMING, H2020 Twinning — Zugspitze Workshop on Communications
Munich, Germany
09/2022
IEEE SPS-EURASIP Summer School — Data and Graph Driven Learning for Communications and Signal Processing
Banja Luka, Bosnia and Herzegovina
04/2022, 07/2022
INCOMING, H2020 Twinning
Chalmers University of Technology, Gothenburg, Sweden
08–09/2021
SENSIBLE, H2020 MSCA-RISE
University of Zilina, Slovakia
04/2019
COST IRACON 6th Training School — ML/DL for (Beyond) 5G Wireless Systems
Barcelona, Spain
Professional Service
07/2026
TPC Member — IEEE MeditCom 2026 (Int'l Mediterranean Conf. on Communications and Networking)
Cagliari, Italy
06/2026
TPC Member — BalkanCom 2026 (Int'l Balkan Conf. on Communications and Networking)
Ulcinj, Montenegro
09/2025
TPC Member — ICAT 2025 (Information, Communication and Automation Technologies)
Sarajevo, Bosnia and Herzegovina
2024
Industrial Innovation — AI Algorithms Application in Production Processes and Planning
Elektroprivreda Srbije (Electric Power Industry of Serbia)
IEEE Member (since 2020)
Peer Review

Reviewer for IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, IEEE Communications Letters, and IEEE Internet of Things Journal.

Novi Sad, Serbia