Journal of Computing and Information Science in Engineering

Special Section on Symbiotic Human-AI Partnership for Next Generation Factories

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Volume 22, Issue 5 (October 2022)

As envisioned by Industry 4.0, the next generation of smart factories and warehouses will highly depend on the collaboration between human and artificial intelligence (AI). This symbiotic partnership can augment human capabilities by providing suggestions, assistance, and explanations as needed – or can utilize direct or indirect human feedbacks in a human-in-the-loop learning framework to enhance AI learning capabilities.

This Special Section aims to harvest the latest efforts in fundamental methodologies as well as their applications in human-AI partnership with specific applications for next-generation factories encompassing the design process to manufacturing, production, and inspection. 

Read Guest Editorial here:


Topic Areas

Potential topics in the context of next-generation factories include, but are not limited to:
• Human-AI partnership for supply chain and sustainable manufacturing systems
• Computational tools for human perception, cognitive assessment, and intention estimation
• AR/VR and novel interfaces for enhancing human-AI partnership
• Co-design of human-AI systems for manufacturing and automation
• System architecture for human-in-the-loop learning systems
• Evaluation methods and assessment of human-AI partnership
• Ethical consideration and financial impact of human-AI partnership on future manufacturing
• Digital twin in manufacturing with human-AI cooperation
• Human-AI partnership in robotics
• Human-AI partnership for workforce training/education
• Case studies and critical literature review


Special Section Editors

Ehsan T. Esfahani, PhD, Mechanical and Aerospace Engineering, University at Buffalo, USA,

Rahul Rai, PhD, Automotive Engineering, Clemson University, USA,

Ying Liu, PhD, Mechanical and Manufacturing Engineering, Cardiff University, UK,

Gaurav Ameta, PhD, Siemens, USA,

Chih-Hsing Chu, PhD, Industrial Engineering and Engineering Management, National Tsing Hua University,

Bin He, PhD, Shanghai University,


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