Tejinder Kaur
Papers
2
Total Citations
17
H-Index
2
About
Tejinder Kaur is a forward-thinking researcher at the intersection of artificial intelligence and industrial innovation, whose work explores how intelligent systems can reshape both technology and society. Her most prominent contribution, the highly cited paper *"From Efficiency to Innovation: LLM 5.0 and the Future of Industry"* (2025, 13 citations), introduces a visionary framework that redefines the role of large language models in the emerging Industry 5.0 paradigm. Unlike prior work focused solely on automation and efficiency, Kaur’s research emphasizes human-centricity, sustainability, and collaborative intelligence, positioning LLMs as catalysts for innovation rather than mere tools for optimization. This work has quickly become a reference point for scholars examining the socio-technical transition from Industry 4.0 to 5.0. Additionally, in *"A Novel System for Finding Shortest Path in a Network Routing Using Hybrid Evolutionary Algorithm"* (2024, 4 citations), she demonstrates technical depth in algorithmic optimization, combining evolutionary computation with network design. Kaur’s research stands out for its dual focus: advancing practical engineering solutions while also shaping the broader conversation about responsible, human-aligned technological progress. Her growing citation record reflects a researcher whose ideas are already influencing both academic discourse and industrial strategy.
Research Focus
Key Achievements
Top Papers
- 1From Efficiency to Innovation: LLM 5.0 and the Future of Industry13 citations · 2025
- 2