Papers

3

Total Citations

48

H-Index

2

About

Dr. Shaidah Jusoh is a leading researcher in artificial intelligence, focusing on fusion technologies, human-robot interaction, and natural language processing. Her most impactful work, "A Systematic Review on Fusion Techniques and Approaches Used in Applications" (2020, 42 citations), provides a comprehensive synthesis of scattered literature on intelligence fusion, establishing a foundational framework for integrating multi-source data across domains. This review has become a key reference for researchers developing adaptive fusion systems. Dr. Jusoh has also explored the intersection of robotics and human expression, as seen in her study on human posture and gesture elements for industrial ceramic robotic artware (2013), where she translated non-verbal communication into robotic forms to enhance creative manufacturing. Earlier, she proposed a collaborative behavior-based approach to manage ambiguity in robot natural language interfaces (2006), addressing critical challenges in human-robot communication. Her work bridges theoretical AI with practical applications, influencing fields from industrial automation to intelligent systems. With a career dedicated to advancing fusion and interaction technologies, Dr. Jusoh continues to shape how machines understand and collaborate with humans.

Research Focus

Key Achievements

2
H-Index
3
Papers
48
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A Systematic Review on Fusion Techniques and Approaches Used in Applications
42 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Princess Sumaya University for Technology, Universiti Teknologi MARA, University of Guelph

Top Papers

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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago