Chiuhsiang Joe Lin
Papers
10
Total Citations
232
H-Index
6
About
Chiuhsiang Joe Lin is a leading researcher at the intersection of human factors engineering, sustainable manufacturing, and intelligent human-robot collaboration. His work fundamentally addresses how humans and robots can work together safely, efficiently, and comfortably in industrial settings. Lin’s major contributions include developing predictive models for operator behavior using hidden semi-Markov models and machine learning, enabling robots to anticipate human intentions in real-time during assembly tasks. He has pioneered the use of physiological feedback—such as bio-signals and mental workload classification—to optimize collaboration and worker well-being. In the domain of smart buildings, Lin has created multi-objective optimization models that balance thermal comfort with energy conservation, demonstrating a commitment to sustainability. His most influential work, on balancing comfort and energy in HVAC systems, has garnered 61 citations, while his human-robot collaboration papers have accumulated over 150 combined citations. Notable achievements include developing low-cost wireless biofeedback solutions using design science research methodology and advancing sustainable manufacturing through human intention classification. Lin’s research is essential reading for anyone interested in the future of smart, human-centric automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9Task Allocation Problem Between Human–robot Collaboration Team4 citations · 2023
- 10