Nebojša Jurišević
Papers
1
Total Citations
14
H-Index
1
About
Nebojša Jurišević is a leading researcher in advanced manufacturing and artificial intelligence, with a primary focus on integrating deep learning into flexible, small-batch production systems. His most cited work, "Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques" (2025, 14 citations), addresses a critical industry challenge: enabling automated workstations to adaptively sort diverse waste streams as production demands shift. Jurišević’s key contribution lies in evaluating the Segment Anything Model (SAM) family of deep learning architectures for this purpose, demonstrating how state-of-the-art computer vision can replace rigid, single-purpose sorting systems. This research directly supports the expansion of LEAN manufacturing principles by reducing waste and increasing operational agility. His work is notable for bridging the gap between cutting-edge AI and practical industrial applications, offering scalable solutions for resource-constrained environments. With a growing citation footprint, Jurišević is recognized for pioneering sustainable, AI-driven automation that empowers manufacturers to achieve both environmental and economic efficiency.
Research Focus
Key Achievements
Top Papers
- 1