معرفی
Vedran Jovanović serves as a Senior Lecturer at the Department of General Electrical Engineering, Faculty of Electrical Engineering, University of Banja Luka. His academic career centers on interdisciplinary research bridging computer vision, signal processing, and biohybrid engineering systems with practical applications in security, environmental monitoring, and industrial automation.
His primary research domains include Computer Vision, Signal Processing, Machine Learning, Biohybrid Systems, Robotics, Sensor Networks, and Land Use Classification. Jovanović has pioneered video analysis techniques for honeybee activity monitoring in explosive detection systems and developed novel algorithms for small object detection in UAV surveillance footage. His work in offshore aquaculture monitoring addresses splash and cage detection challenges through deep learning approaches.
Analysis of his recent publications reveals a pronounced focus on applying machine learning to humanitarian and industrial challenges, particularly in biohybrid landmine detection systems and precision robotics calibration. His most impactful work appears in journals such as Sensors, Science of the Total Environment, and Remote Sensing, demonstrating consistent methodological innovation across computer vision and signal processing domains.
Dr. Jovanović actively participates in multiple research initiatives including the NATO-funded "Biological Methods (Bees) for Explosive Detection" project (2017-2021, 300,415 BAM) and current national projects such as "Signal Processing using Embedded Computer Systems and Machine Learning" (2025, 9000 BAM) and "Development of STEM Skills and Interests in School Children" (2025, 3000 BAM), where he contributes expertise in machine learning and computer vision systems development.
He collaborates extensively within the University of Banja Luka's research ecosystem, particularly with the Signal Processing and Bioengineering groups, focusing on smart sensor technologies for environmental monitoring and industrial applications.