Aleksandar Novaković
Papers
1
Total Citations
14
H-Index
1
About
Dr. Aleksandar Novaković is a leading researcher at the intersection of advanced manufacturing and artificial intelligence, with a primary focus on deep learning applications for industrial automation and waste management. His most impactful work addresses a critical challenge in modern production: enabling versatile, automated waste sorting in small batch and flexible manufacturing environments. In his landmark 2025 study, which has already garnered 14 citations, Novaković pioneered the use of the Segment Anything Model (SAM) family of deep learning architectures to create adaptable sorting systems. This contribution is particularly significant as it provides a scalable solution for LEAN manufacturing setups that must frequently switch between different waste types without costly retooling. By demonstrating how state-of-the-art computer vision can be integrated into dynamic industrial workflows, his research bridges the gap between sustainability goals and operational efficiency. Novaković’s work stands out for its practical applicability, offering manufacturers a path toward more intelligent, resource-efficient production lines. His findings are increasingly referenced by both academic peers and industry engineers seeking to implement flexible automation in resource-constrained settings.
Research Focus
Key Achievements
Top Papers
- 1