Curriculum Vitae
Azra Pašić
Current position: PhD Student, Department of Networked Systems and Services, Budapest University of Technology and Economics
Education and degrees:
2020 BSc in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, Germany
Title of Thesis: “Improving the Automated Detection of Depression Through Speech-Sample Length Optimization”
2023 MSc in Biomedical Engineering, Budapest University of Technology and Economics and Semmelweis University, Hungary
Title of Thesis: “Development of an Artificial Intelligence Based Diagnostic Assistant”
Spoken languages:
- Bosnian
- Hungarian
- English
- German
Awards and Scholarships:
- Students’ Scientific Association Conference (TDK), Faculty of Electrical Engineering and Informatics (BME), Power Engineering Section: 3rd prize
- Students’ Scientific Association Conference (TDK), Faculty of Electrical Engineering and Informatics (BME), Information Systems Section: 1st prize
- IEEE Hungary Section, Student Paper Contest, Master’s category: 3rd prize
- TMIT TOP N Scholarship
- Josef Heim Medical Engineering Design Scholarship
- National Students’ Scientific Association Conference (OTDK), Algorithms Section: Special Award
- Doctoral Excellence Scholarship (DKÖP)
Research areas:
- Artificial Intelligence and Machine Learning for medical applications
- Clinical decision support systems
- Ultra-high-dimensional Boolean feature selection
- Specialized medical classification algorithms
- Applying Data Science methods to Network Medicine
- Graph-based electroencephalography analysis
- Machine Learning in modern power systems
- Integration of renewable energy resources