Nikola Stanić

Nikola Stanić serves as a Teaching Assistant at the Department of Information Technologies, Faculty of Technical Sciences, University of Kragujevac, where he has held academic positions since February 2021. His institutional affiliation includes active teaching duties across multiple technical disciplines at this Serbian research-intensive faculty.

His academic credentials feature:

• Master of Academic Studies in Information Technology (2022, avg. grade 10.0) from University of Kragujevac with thesis on "Software Quality Management Using the Example of an Application for the Police Department"
• Bachelor of Academic Studies in Information Technology (2021, avg. grade 9.50) from same institution with thesis on "Example of Developing a Digital Game Using Unreal Engine Software"
• Technical secondary education in Computer Electrical Engineering from "Kolubara" School in Lazarevac

Stanić's research focuses on the intersection of computer vision and practical software engineering, with significant contributions to medical diagnostics through YOLO-based detection systems for skin cancer and kidney stones. His work extends to public safety applications via real-time fire/smoke identification algorithms and explores Kotlin multiplatform development frameworks. Early career research included statistical modeling for demographic forecasting in regional healthcare planning, demonstrating methodological versatility across computer science subfields.

His publication trajectory reveals concentrated expertise in deep learning applications (75% of recent work), particularly object detection systems adapted for medical and safety-critical domains. The remaining publications address software engineering challenges in cross-platform development and statistical prediction models, indicating a research program bridging theoretical computer science with societal applications in healthcare and public safety.

While no scientific awards are documented, Stanić actively contributes to academic instruction through exercises in Programming Languages, Advanced Object-Oriented Programming, Software Testing, Mobile Application Development, and Databases. His teaching portfolio extends to programming instruction for children (ages 6-18) at Logiscool Srbija and online Serbian language tutoring, though no research grants or graduate student supervision are indicated.

He operates within the Computer Science Laboratory infrastructure at the Faculty of Technical Sciences in Čačak, which supports his computational research through specialized equipment and collaborative environments for vision-based algorithm development and software engineering projects.