معرفی
Olivera R. Pronić Rančić serves as a Full Professor at the Faculty of Electronic Engineering, University of Nis, specializing in Telecommunications with expertise in microwave engineering and neural network applications. Her academic leadership spans over a decade since her 2013 promotion to full professorship, with deep institutional roots at Serbia's premier electronics education center.
Her educational foundation includes:
- PhD in Telecommunications (2002, Faculty of Electronic Engineering, University of Nis)
- Master's degree in Telecommunications (1998, same institution)
- Bachelor's degree in Electronics and Telecommunications (1993)
Research focuses on the intersection of microwave engineering and artificial intelligence, particularly ANN-driven solutions for noise modeling in semiconductor devices, RF MEMS design, and antenna array optimization. Her methodology bridges theoretical electrical engineering with practical wireless communication systems, emphasizing neural network validation through experimental semiconductor characterization and wearable antenna development.
Analysis of her publication trajectory reveals consistent innovation in applying neural networks to microwave transistor modeling since 2013, with recent work expanding into smart textile antennas and gallium nitride HEMT noise analysis. Her research demonstrates strong continuity in solving electromagnetic compatibility challenges through machine learning, maintaining relevance in both academic and industrial semiconductor applications.
Key recognition includes:
- Aleksandar Marinčić award (2012) for exceptional contributions to microwave technique
She actively directs research funding with current involvement in one national and one international project, building on extensive prior leadership in 10 national scientific research projects and 2 Ministry of Science higher-education development initiatives. Her international collaboration portfolio includes 2 DAAD research projects and 8 ERASMUS+/TEMPUS teaching reform initiatives across European institutions.
As an integral member of the Faculty's Telecommunications Department research ecosystem, she contributes to conference leadership through ICEST and TELSIKS committees, recently organizing the 2023 TELSIKS special session on Applied Artificial Intelligence Learning Requirements while maintaining active laboratory work in microwave device characterization.
