معرفی
Damir Malnar is a Senior Lecturer at Veleri College (Veleri-OI), specializing in Telecommunications and Electronics. He teaches courses such as Automation in Building Construction, Mobile Communication, Embedded Computer Systems, and IoT-related disciplines. His research focuses on advanced signal processing techniques, hydroacoustic signal analysis, FPGA-embedded systems, and real-time algorithm implementation. He has contributed to the development of the Veleri-OI IoT School's educational platforms and pioneered methods for optimizing time-frequency distributions in noisy environments.
Malnar's academic work emphasizes practical applications of theoretical concepts, including FPGA-based genetic algorithms for antenna array recovery and real-time embedded systems. His recent efforts integrate IoT technologies into educational tools, exemplified by the Veleri-OI Meteo System. He maintains active involvement in both theoretical research and hands-on engineering projects, bridging the gap between academic instruction and industry-relevant solutions.
Key technical areas include signal decomposition, noise analysis, and adaptive systems. His work often intersects with marine acoustics and environmental monitoring, reflecting a multidisciplinary approach to telecommunications engineering.



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