معرفی
Petar Spalević is a professor at Singidunum University within the School of Electrical Engineering and Computing. With over two decades of academic contributions from 2002 to 2025, he has established himself as a significant researcher in electrical engineering and computer science disciplines.
His research expertise spans multiple interconnected domains:
- Wireless communications and fading channel modeling
- Free space optical (FSO) transmission systems
- Machine learning applications for healthcare diagnostics
- Educational technology and innovative teaching methodologies
Dr. Spalević's publication trajectory reveals an evolution from foundational work in signal processing and wireless communications to more contemporary applications integrating machine learning techniques. His recent publications (2023-2025) demonstrate a strong focus on healthcare applications including Parkinson's detection from gait analysis, respiratory condition classification from audio, and ECG anomaly detection using advanced neural network architectures. He maintains parallel research in wireless communications, particularly examining FSO system performance under various atmospheric turbulence conditions.
His work bridges theoretical communication engineering with practical applications across healthcare, transportation, and education sectors. This multidisciplinary approach while maintaining technical depth in core engineering principles characterizes his research philosophy.
