Muhamed Fauzi Bin Abbas

Singapore Institute of Technology, Nanyang Technological University

Papers

2

Total Citations

6

H-Index

2

About

Muhamed Fauzi Bin Abbas is a researcher whose work lies at the intersection of human-robot interaction and engineering education. His primary research focuses on the non-verbal auditory aspects of human-service robot interaction, exploring how robots can better interpret and respond to human cues beyond spoken language. This work, detailed in his 2021 paper (4 citations), addresses a critical gap in making service robots more intuitive and effective collaborators in shared workspaces. Beyond interaction design, Abbas has made significant contributions to engineering pedagogy. His 2014 paper (2 citations) introduced a novel, robotics-based platform for teaching embedded systems development, guiding undergraduate students through hands-on laboratory sessions with commercial real-time operating systems. This innovative approach bridges theory and practice, equipping future engineers with essential skills in a rapidly evolving field. While his citation counts reflect a focused, early-stage career, Abbas’s dual contributions to both advancing robot communication and transforming engineering education demonstrate a commitment to shaping the future of technology through both technical innovation and educational impact.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Non-Verbal Auditory Aspects of Human-Service Robot Interaction
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Singapore Institute of Technology, Nanyang Technological University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago