Dejan Bokan
Dejan Bokan holds the role of Chief Product Owner at TTTech Auto and serves as an Instructor at NIT Academy. With a wealth of experience exceeding a decade in Embedded Software Development, specializing in Consumer Electronics and Automotive Software, he has built a solid reputation for delivering industry-quality software solutions. Currently, Dejan focuses on collaborating with major Automotive OEMs to ensure the provision of high-quality solutions for Advanced Driver Assistance Systems (ADAS).
His passion for knowledge transfer was prominently displayed during a six-year tenure as a Teaching Assistant at FTN University of Novi Sad. During this time, he had the opportunity to nurture the growth of aspiring engineers, leaving a positive and lasting impact on their educational journey.
Driven by a passion for expanding his expertise, Dejan is pursuing a Ph.D. in Machine Learning applications for Image and Video Processing. His research aims to enhance image and video analysis using artificial intelligence.
Dejan's blend of theoretical expertise and practical insights has consistently led to successful project implementations. He remains dedicated to staying abreast of the latest advancements and effectively shares his knowledge with colleagues and students alike. His expertise and commitment to innovation make him a valuable asset to the NIT Institute Lecturers community.
References
- Nikola Jelić, Dušan Stojković, Dejan Bokan. “Enabling low-latency virtualized audio in Xen using a vhost-user backend”. In: 2026 IEEE Zooming Innovation in Consumer Technologies International Conference (ZINC), IEEE, 2026, pp. 31-35. DOI: 10.1109/zinc69910.2026.11655741.
- Dragana D. Sandic-Stankovic, Dejan Bokan, Dragan Kukolj. “Blind DIBR-synthesized Image Quality Assessment using multi-scale DoG and GRNN”. In: 2018 14th Symposium on Neural Networks and Applications (NEUREL), IEEE, 2018, Vol. 22, pp. 1-5. DOI: 10.1109/neurel.2018.8587020.
- Andrej Popovic, Jelena V. Kovacevic, Dejan Bokan, Sanja Cordasic. “Optimization of audio surround virtualization module for ARM based processors”. In: 2017 25th Telecommunication Forum (TELFOR), IEEE, 2017, pp. 1-4. DOI: 10.1109/telfor.2017.8249422.
- Dejan Bokan, Dragan Kukolj, Dragana D. Sandic-Stankovic. “A no-reference synthesized view quality assessment using statistical features in morphological multiscale domain”. In: 2017 25th Telecommunication Forum (TELFOR), IEEE, 2017, Vol. 3, pp. 1-4. DOI: 10.1109/telfor.2017.8249420.
- Dejan Bokan, Gordana S. Velikic, Dragan Kukolj, Dragana D. Sandic-Stankovic. “Blind DIBR-synthesized image quality assessment based on sparsity features in morphological multiscale domain”. In: 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX), IEEE, 2017, Vol. 5291, pp. 1-3. DOI: 10.1109/qomex.2017.7965645.
- Dejan Bokan, Miodrag M. Djukic, Miroslav V. Popovic, Nenad B. Cetic. “Adjustment of GCC compiler frontend for embedded processors”. In: 2014 22nd Telecommunications Forum Telfor (TELFOR), IEEE, 2014, pp. 983-986. DOI: 10.1109/telfor.2014.7034571.
- Dejan Bokan, Nenad B. Cetic, Jelena V. Kovacevic, Velibor Ilić. “Control of unmanned aerial vehicle based on XMOS platform”. In: 2013 21st Telecommunications Forum Telfor (TELFOR), IEEE, 2013, pp. 893-896. DOI: 10.1109/telfor.2013.6716374.
Courses
NIT-AU-10
Automotive Software with Adaptive AUTOSAR
Learn and master Adaptive AUTOSAR architecture, methodology and workflow.
NIT-CE-02
Advanced C
Understand C on a higher level, including its memory handling, optimizations, and advanced constructs.