معرفی
Ivana Štrumberger is a Researcher at the Faculty of Informatics and Computing at Singidunum University in Belgrade, Serbia. Currently active in academia, she focuses on applying optimization metaheuristics to machine learning problems across diverse domains.
- Academic affiliation: Faculty of Informatics and Computing, Singidunum University
- Email: istrumberger@singidunum.ac.rs
Research Focus
Her work spans machine learning optimization, neural network tuning, and cloud computing applications. Key research areas include:- Metaheuristic algorithms for deep learning (LSTM, GRU, CNNs)
- Feature selection and dimensionality reduction
- Cybersecurity applications (phishing detection, network intrusion)
- Financial forecasting (cryptocurrencies, oil prices)
- Environmental modeling (PAHs pollution, solar power prediction)
Publication Trends
Recent publications analyze:- Hybrid models combining metaheuristics with XGBoost and ELM
- Applications of sine-cosine algorithm and Harris hawks optimization
- Time series prediction in energy and financial domains
- Deep learning for pandemic-related tasks (Covid-19 detection)
- Cloud computing resource scheduling solutions
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