BIOGRAPHY
About Amina
Amina Mević is a Ph.D. student and teaching assistant at the Department for Computer Science and Informatics, University of Sarajevo, Faculty of Electrical Engineering. Her research focus is on data-driven Virtual Metrology. She previously studied Physics at the University of Sarajevo, Faculty of Natural Science and Mathematics, and holds a Master's Degree in Theoretical Physics.
Education
- Ph.D. studies, Faculty of Electrical Engineering, University of Sarajevo (2023–present)
- M.Sc. in Physics, University of Sarajevo (2021)
- B.Sc. in Physics, University of Sarajevo (2020)
Research & Academic Experience
Teaching assistant at the Faculty of Electrical Engineering, University of Sarajevo (since 2022). Research interests include explainable and data-driven virtual metrology, semiconductor manufacturing, and machine learning.
Publications & conference contributions
- 2026Projective operator-based explanations for multi-output prediction models in semiconductor industry
A. Mević, S. Szedmak, S. Krivić · AAAI Workshop
- 2026Multi-output drift detection and model adaptation in semiconductor manufacturing
A. Mević, M. Ghoneim, S. Krivić · New Technologies, Development and Application IX, Springer, 2026
- 2026Long-Term Air Quality Forecasting in Sarajevo Using Multivariate Time Series Models and Explainable Artificial Intelligence
Amina Mević, Vahidin Hasić, Emina Zolota, Fatima Kaljanac, Senka Krivić · 2026
- 2026Label-Free Physics-Consistency Monitoring for Virtual Metrology Systems
Amina Mević, Senka Krivić · PHYCONBA 2026 · Poster PDF titled “A Physics-Consistency Monitoring Framework for Virtual Metrology Systems”
- 2026Explainability requirements for Industry 5.0: Towards role-adaptive explanation in semiconductor manufacturing
A. Mević, S. Krivić · ACM UMAP Workshops, 2026
- 2025Sentence Encoder-Based Clustering Method for Modeling Students’ Learning Programming Behavior
Mubina Kamberović, Amina Mević, Senka Krivić · ACM UMAP 2025 · DOI: 10.1145/3699682.3728344
- 2025Multi-output virtual metrology for physical vapor deposition using projective selection algorithm
A. Mević, A. Laber, S. Szedmak, D. Đonko, S. Krivić · IEEE EDTM 2025
- 2025Long-horizon prediction of PM10 concentrations in Sarajevo using FB Prophet and SHAP
F. Kaljanac, A. Mević, S. Krivić · ICAT 2025
- 2025Human interpretable virtual metrology in the semiconductor manufacturing
A. Mević · AAAI 2025
- 2025Explainable virtual metrology in semiconductor industry
A. Mević · xAI 2025 · CEUR Workshop Proceedings
- 2025Application of multi-output regression and feature selection methods in semiconductor manufacturing
A. Mević, A. Laber, S. Krivić · ECAI / PAIS 2025
- 2024Predictive Analysis of Sarajevo's AQI using Machine Learning Models for Varied Data Granularity and Prediction Windows
Emina Zolota, Vahidin Hasić, Amina Mević, Amra Delić, Senka Krivić · MIPRO 2024