Tayyaba Kazim

Nottingham Trent University

Papers

2

Total Citations

19

H-Index

2

About

Tayyaba Kazim is a rising researcher at the intersection of robotics safety and engineering education. Her work addresses two critical frontiers: the biomechanical modeling of human-robot accidents and the transformation of higher education pedagogy. In her most cited paper (2023, 11 citations), Kazim computationally assesses accident scenarios involving heavy-payload-capacity robots, providing essential safety frameworks for Industry 4.0’s human-robot collaborative workspaces. Her second highly cited work (2023, 8 citations) tackles the challenge of implementing cost-effective social constructivism in engineering education, breaking down barriers to modern pedagogical approaches in higher learning. This dual focus demonstrates Kazim’s commitment to both advancing technical safety standards and democratizing educational innovation. Her research on robot accident modeling is particularly timely as intelligent manufacturing reshapes traditional workspaces into fully shared human-robot environments. By bridging rigorous computational analysis with practical educational reform, Kazim exemplifies the modern engineer-scholar—one who not only pushes technological boundaries but also ensures the next generation of engineers is equipped to thrive in an increasingly automated world. Her work continues to influence both safety protocols in robotics and curriculum development in engineering programs.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Biomechanical Modeling of Human–Robot Accident Scenarios: A Computational Assessment for Heavy-Payload-Capacity Robots
11 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Nottingham Trent University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago