| 2025 | GECCO | Feature Selection Using Genetic Algorithm for Intrusion Detection on Resource-Constrained Edge Devices. | Tijana Markovic, Pontus Lidholm, Per Erik Strandberg, Miguel Leon |
| 2024 | ICMLA | Comparative Evaluation of Autoencoders for Semi-Supervised Anomaly Detection on Univariate Time Series Data. | Tijana Markovic, Sara Moricz, Miguel Leon |
| 2024 | IJCNN | Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices. | Pontus Lidholm, Tijana Markovic, Miguel Leon, Per Erik Strandberg |
| 2023 | FedCSIS | Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems. | Tijana Markovic, Alireza Dehlaghi-Ghadim, Miguel Leon, Ali Balador, Sasikumar Punnekkat |
| 2023 | GECCO | Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data. | Miguel Len Ortiz, Tijana Markovic, Sasikumar Punnekkat |
| 2023 | ICMLA | Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. | Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Sderman, Per Erik Strandberg |
| 2023 | IECON | Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems. | Bjrn Leander, Tijana Markovic, Miguel Leon |
| 2022 | GECCO | Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning. | Miguel Len Ortiz, Tijana Markovic, Sasikumar Punnekkat |
| 2022 | ICMLA | Software package for regression algorithms based on Gaussian Conditional Random Fields. | Tijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic |
| 2022 | IJCNN | Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification. | Miguel Leon, Tijana Markovic, Sasikumar Punnekkat |
| 2022 | IECON | Simulation Environment for Modular Automation Systems. | Bjrn Leander, Tijana Markovic, Aida Causevic, Tomas Lindstrm, Hans Hansson, Sasikumar Punnekkat |