A Reinforcement Learning Approach for Fast Frequency Control in Low-Inertia Power Systems. - Ognjen Stanojev; Ognjen Kundacina; Uros Markovic; Evangelos Vrettos; Petros Aristidou; Gabriela Hug (CoRR, 2020)

Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks. - Ognjen Kundacina; Mirsad Cosovic; Dragisa Miskovic; Dejan Vukobratovic (SmartGridComm, 2022)

Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks. - Ognjen Kundacina; Miodrag Forcan; Mirsad Cosovic; Darijo Raca; Merim Dzaferagic; Dragisa Miskovic; Mirjana Maksimovic; Dejan Vukobratovic (SmartGridComm, 2022)

State Estimation in Electric Power Systems Leveraging Graph Neural Networks. - Ognjen Kundacina; Mirsad Cosovic; Dejan Vukobratovic (CoRR, 2022)

Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks. - Ognjen Kundacina; Mirsad Cosovic; Dejan Vukobratovic (CoRR, 2022)

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. - Mile Mitrovic; Ognjen Kundacina; Aleksandr Lukashevich; Petr Vorobev; Vladimir V. Terzija; Yury Maximov; Deepjyoti Deka (CoRR, 2023)

Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation. - Ognjen Kundacina; Gorana Gojic; Mirsad Cosovic; Dragisa Miskovic; Dejan Vukobratovic (CoRR, 2023)

Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms. - Ognjen Kundacina; Gorana Gojic; Mile Mitrovic; Dragisa Miskovic; Dejan Vukobratovic (CoRR, 2023)

Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs. - Ognjen Kundacina; Mirsad Cosovic; Dragisa Miskovic; Dejan Vukobratovic (CoRR, 2023)

Non-adversarial Robustness of Deep Learning Methods for Computer Vision. - Gorana Gojic; Vladimir Vincan; Ognjen Kundacina; Dragisa Miskovic; Dinu Dragan (CoRR, 2023)

Overview of Deep Learning Methods for Retinal Vessel Segmentation. - Gorana Gojic; Ognjen Kundacina; Dragisa Miskovic; Dinu Dragan (CoRR, 2023)

Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems. - Ognjen Kundacina (CoRR, 2023)

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. - Mile Mitrovic; Ognjen Kundacina; Aleksandr Lukashevich; Semen A. Budennyy; Petr Vorobev; Vladimir V. Terzija; Yury Maximov; Deepjyoti Deka (Softw. Impacts, 2023)

Decoding Quantum LDPC Codes Using Graph Neural Networks. - Vukan Ninkovic; Ognjen Kundacina; Dejan Vukobratovic; Christian Häger; Alexandre Graell i Amat (GLOBECOM, 2024)

Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition. - Ognjen Kundacina; Vladimir Vincan; Dragisa Miskovic (CoRR, 2024)

Conformal Anomaly Detection for Predictive Maintenance in Thermal Power Plants. - Ognjen Kundacina; Vladimir Vincan; Gorana Gojic; Vukan Ninkovic; Dragisa Miskovic (IEEE Access, 2025)

PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images. - Gorana Gojic; Vladimir Vincan; Ognjen Kundacina; Sasa Talosi; Dragisa Miskovic (SoftwareX, 2025)

JuliaGrid: An Open-Source Julia-Based Framework for Power System State Estimation. - Mirsad Cosovic; Ognjen Kundacina; Muhamed Delalic; Armin Teskeredzic; Darijo Raca; Amer Mesanovic; Dragisa Miskovic; Dejan Vukobratovic; Antonello Monti (CoRR, 2025)