معرفی
Arso Vukićević is an Assistant Professor in the Department of Production Engineering at the Faculty of Engineering, University of Kragujevac. His research focuses on integrating artificial intelligence, deep learning, and robotics into industrial safety, manufacturing processes, and ergonomic systems. Key areas include workplace safety monitoring, waste management automation, and medical device design optimization. He has contributed to over 30 peer-reviewed publications since 2011, emphasizing computational methods in biomechanics, predictive analytics for fracture risk, and Industry 4.0 technologies.
His work spans applications like AI-driven personal protective equipment compliance systems, fatigue analysis of coronary stents, and modular lab setups for neuroergonomic studies. Vukićević’s research often bridges engineering and healthcare, such as developing software for coronary artery reconstruction and exploring AI’s role in public building energy management.
Notable projects include frameworks for human-robot collaboration in manufacturing, smart warehouse management using machine vision, and evaluating exoskeletons for manual labor safety. His studies frequently employ deep learning, finite element analysis, and IoT sensors to address real-world industrial challenges.
