معرفی
Tamara Živković is a researcher at the Faculty of Informatics and Computing, Singidunum University. She holds a PhD in Software Engineering from the School of Electrical Engineering in Belgrade (2024), with prior Master's and Bachelor's degrees in related fields.
Education:
- PhD, Software Engineering (2012-2024), School of Electrical Engineering, Belgrade
- Master, Audio and Visual Technologies (2008-2010), School of Electrical Engineering, Belgrade
- Bachelor, Telecommunications and Information Technology (2001-2007), School of Electrical Engineering, Belgrade
Her research focuses on software testing education, metaheuristic optimization for machine learning models, and AI applications in cybersecurity, medical diagnostics, and data analysis. She explores hybrid approaches combining neural networks (LSTM, GRU, CNN) with metaheuristic algorithms (PSO, Firefly, Crayfish) for complex prediction tasks.
Recent publications span software defect prediction, phishing detection, Parkinson's disease diagnostics, and sentiment analysis. Her work integrates generative adversarial networks for dataset augmentation and applies attention mechanisms in NLP tasks.
She has completed advanced certifications in software product management and agile practices from the University of Alberta, along with ISTQB testing certifications.