Marziyeh Mirzahosseininejad
Papers
1
Total Citations
3
H-Index
1
About
Dr. Marziyeh Mirzahosseininejad is at the forefront of integrating artificial intelligence with occupational ergonomics, focusing on human-robot collaboration (HRC) for sustainable manufacturing. Her research centers on developing deep learning frameworks to predict and mitigate ergonomic risks in real-time, particularly within disassembly tasks critical to the circular economy. Her most cited work, "WMSDsNet: A Deep Learning Framework for Real-Time Ergonomic Risk Prediction in Human-Robot Collaboration in Disassembly" (2025, 3 citations), introduces a novel approach to reducing work-related musculoskeletal disorders (WMSDs) by enabling adaptive robot behavior based on human posture and task demands. This contribution directly addresses the challenge of balancing automation with worker safety, offering a pathway to more sustainable and human-centric industrial processes. Dr. Mirzahosseininejad's work is notable for its practical application of AI to enhance both productivity and well-being in manufacturing environments. Her research is shaping the future of collaborative robotics, ensuring that as industries evolve toward greater automation, human health remains a central priority.
Research Focus
Key Achievements
Top Papers
- 1