معرفی
Aleksej Avramović serves as an Assistant Professor at the Faculty of Electrical Engineering, University of Banja Luka, Bosnia and Herzegovina, holding the academic rank of docent since his election in December 2021. His institutional affiliation places him within the university's primary engineering faculty where he contributes to both undergraduate and graduate academic programs in electrical engineering disciplines.
Dr. Avramović's research program demonstrates exceptional breadth across computer vision and machine learning applications. His work spans intelligent transportation systems through advanced traffic sign recognition algorithms, medical imaging innovations for colonoscopy analysis and inflammation detection, and pioneering biohybrid security systems using honeybee activity monitoring for explosive detection. Complementing this, he maintains significant contributions to digital signal processing fundamentals including logarithmic arithmetic circuits and lossless compression techniques for medical images and audio signals, reflecting both theoretical depth and practical implementation expertise.
His publication trajectory reveals a clear evolution from foundational signal processing research toward applied computer vision solutions. Early work focused on logarithmic multipliers and compression algorithms, while recent publications emphasize deep learning implementations for real-time systems in transportation, healthcare diagnostics, and security applications. This progression demonstrates strategic adaptation to emerging technological paradigms while maintaining core competencies in efficient algorithm design.
Dr. Avramović actively participates in nationally funded research initiatives, currently serving as principal investigator for the active project 'Signal Processing using Embedded Computer Systems and Machine Learning' (2025-2026). His project portfolio includes significant contributions to the NATO-funded 'Biological Methods for Explosive Detection' (2017-2021), the 'Mobile Health Platform NORMEDY' medical project (2019-2021), and multiple image processing initiatives for remote sensing applications, demonstrating consistent success in securing competitive research funding.
He maintains robust research collaborations within the Faculty of Electrical Engineering, particularly with the computer vision and biohybrid systems teams led by Professors Zdenka Babić and Vladimir Risojević. These groups operate specialized laboratories for image processing, embedded systems development, and signal analysis, supporting interdisciplinary research that bridges electrical engineering with medical technology and security applications through practical hardware-software integration.
