Alireza Golabchi
Papers
3
Total Citations
82
H-Index
3
About
Alireza Golabchi’s research sits at the vital intersection of construction informatics and wearable robotics, with a clear focus on preventing workplace injuries. His most impactful work, a systematic review of industrial exoskeletons (63 citations), established a comprehensive framework for evaluating these technologies’ efficacy in reducing Work-related Musculoskeletal Disorders—a leading cause of occupational injury. This review identified key metrics, target tasks, and supported postures, providing a critical roadmap for researchers and practitioners alike. Golabchi’s earlier work on Building Information Modeling (BIM) interoperability, evaluating Industry Foundation Classes, addressed foundational challenges in data exchange within the AEC industry. More recently, he has advanced the field of assistive robotics by developing a hybrid CNN-LSTM network with an attention mechanism for myoelectric control in upper-limb exoskeletons (2024). This novel approach integrates EMG and IMU signals for real-time joint angle prediction, promising more intuitive control of assistive technologies for individuals with upper limb impairments. Through these contributions, Golabchi is shaping safer, more efficient human-machine systems in both industrial and rehabilitative contexts.
Research Focus
Key Achievements
Top Papers
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