Ivana Štrumberger

Ivana Štrumberger is a researcher at Singidunum University's Faculty of Informatics and Computing, with a focus on machine learning optimization, cloud computing, and wireless sensor networks. Her work bridges computational intelligence with practical applications in healthcare, cybersecurity, and financial forecasting.

Her research emphasizes hybrid metaheuristic algorithms for tuning neural networks and ensemble models. Notably, she has developed methods for

• Bitcoin and Ethereum price prediction using LSTM networks
• Phishing website detection via XGBoost and feature selection
• Solar flare forecasting with gradient boosting
• Optimization of wireless sensor network localization

She has co-authored over 30 peer-reviewed publications in journals like Artificial Intelligence Review and Applied Sciences, and presented at IEEE conferences including IJCNN and CEC. Her methodological contributions include hybridized variants of

• Firefly Algorithm
• Harris Hawks Optimization
• Sine Cosine Algorithm
• Whale Optimization

for constrained and multi-objective problems.