Vaso Manojlović

Vaso Manojlović is an Associate Professor at the Department of Metallurgical Engineering, Faculty of Technology and Metallurgy, University of Belgrade. He was elected to his current position on October 10, 2022, specializing in Metallurgy with a strong focus on computational applications in metal casting and processing.

His research spans multiple specialized areas within metallurgical engineering:

• Computer-aided casting simulation and gating system design
• Physico-chemical processes at metal-mold interfaces
• Iron and steel production metallurgy
• Powder metallurgy techniques
• Non-ferrous and rare metals processing
• Machine learning applications for material property prediction

Dr. Manojlović has pioneered the integration of advanced computational methods with traditional metallurgical processes, particularly in applying artificial intelligence to solve industrial casting challenges and develop biocompatible materials for medical applications.

He maintains an extensive teaching portfolio across all academic levels, instructing courses ranging from fundamental metallurgical theory to specialized topics like rapid prototyping in foundry and computer applications in casting design.

His academic mentorship includes supervising multiple master's theses focusing on cutting-edge intersections of metallurgy and computational science:

• Olivera Dragutinović (2023): 'Investigation of properties of Co-Cr-W and Co-Cr-Mo alloys coated with hydroxyapatite for dental implants'
• Gordana Marković (2022): 'Prediction of mechanical properties of biocompatible titanium alloys using machine learning'
• Ognjen Stanković (2024): 'Analysis and detection of defects in cast parts using advanced machine learning methods'

Dr. Manojlović's work exemplifies a successful fusion of traditional metallurgical expertise with modern computational approaches, addressing both industrial manufacturing challenges and biomedical material development needs.