Tijana Markovic, Postdoctoral research fellow
Tijana obtained her PhD degree in Software Engineering from the Faculty of Ogranizational Sciences, University of Belgrade (Serbia). Her doctoral dissertation "Software tool for investigating structural regression algorithms based on GCRF model" was defended in 2018. During her PhD studies, she was a visiting researcher at the Temple University (Philadelphia, USA), in the Center for Data Analytics and Biomedical Informatics, headed by professor Zoran Obradovic.
Tijana Markovic (former Vujicic), is currently a postdoc in the Division of Computer Science and Software Engineering (CSE). Her main research interests are applied machine learning and artificial intelligence. During her PhD, Tijana was working on structured machine learning for social networks, and more concretely on Gaussian conditional random fields extensions for directed graphs. Currently she is working on machine learning techniques for intrusion and anomaly detection/classification in industrual context.
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Network intrusion detection using machine learning on resource-constrained edge devices (Jul 2024) Pontus Lidholm , Tijana Markovic, Miguel Leon Ortiz, Per Erik Strandberg International Conference on Neural Networks (IJCNN 24)
Random forest with differential privacy in federated learning framework for network attack detection and classification (Jun 2024) Tijana Markovic, Miguel Leon Ortiz, David Buffoni , Sasikumar Punnekkat Applied Intelligence (APIN)
InSecTT Technologies for the Enhancement of Industrial Security and Safety (Jun 2024) Sasikumar Punnekkat, Tijana Markovic, Miguel Leon Ortiz, Björn Leander, Alireza Dehlaghi Ghadim, Per Erik Strandberg Intelligent Secure Trustable Things, Studies in Computational Intelligence (SCI), Springer (SCI-INSECTT)
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Dec 2023) Alireza Dehlaghi Ghadim, Tijana Markovic, Miguel Leon Ortiz, David Söderman , Per Erik Strandberg International Conference on Machine Learning and Applications 23 (ICMLA'23)
Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems (Oct 2023) Björn Leander, Tijana Markovic, Miguel Leon Ortiz 49th Conference of the IEEE Industrial Electronics Society 2023 (IECON 2023)
An Authorization Service supporting Dynamic Access Control in Manufacturing Systems (Oct 2023) Ivan Radonjic , Enna Basic , Björn Leander, Tijana Markovic IEEE 9th World Forum on Internet of Things 2023 (WFIoT2023)