معرفی
Dušan Marković is an academic affiliated with Singidunum University, specifically within the Faculty of Informatics and Computing's Department of Computer Science. His primary role is as a Researcher, focusing on interdisciplinary research areas including machine learning, optimization algorithms, and cybersecurity. He has contributed to both theoretical advancements and practical applications in these fields.
His research interests span optimization algorithms (e.g., firefly, monarch butterfly, moth search), their applications in machine learning (e.g., medical data classification), environmental impact assessment in agricultural systems, and educational technology (e.g., virtualization in learning environments). His work often bridges computational methods with real-world challenges in healthcare, urban planning, and disaster management.
Notable contributions include improving medical data analysis through hybrid algorithms, assessing thermal comfort in urban areas, and developing cybersecurity measures for network infrastructures. While no specific awards are listed, his active publication record indicates sustained academic engagement.
No grants or advising activities are explicitly documented here. He is part of Singidunum University's academic community, contributing to both teaching and research in informatics and computing disciplines.