Abu Hassan Abdullah

Universiti Malaysia Perlis

Papers

12

Total Citations

107

H-Index

6

About

Abu Hassan Abdullah is a robotics and sensing systems researcher whose work spans mobile robotics, simultaneous localization and mapping (SLAM), and electronic nose (e-nose) technology, with a particular focus on hazardous and confined space applications. His most cited contribution, "Method to Convert Kinect's 3D Depth Data to a 2D Map for Indoor SLAM" (2013, 31 citations), demonstrated an innovative approach to leveraging low-cost depth sensors for indoor robot navigation, advancing accessible solutions for autonomous mapping. Abdullah has made significant strides in gas sensing research, investigating the cross-sensitivity of metal oxide sensors to environmental conditions and developing flexible, autonomous characterization systems — work that underpins reliable atmospheric monitoring in real-world deployments. A defining thread throughout his career is the integration of e-nose systems with mobile robots for confined space safety monitoring, encompassing sensor design, purging techniques, calibration, and application-specific development. His swarm robotics work on odour plume tracking further reflects a commitment to biologically inspired, multi-agent sensing strategies. With over 100 cumulative citations, Abdullah's research makes meaningful contributions to worker safety, autonomous navigation, and intelligent sensing — areas of growing importance across industrial and humanitarian robotics applications.

Research Focus

Key Achievements

6
H-Index
12
Papers
107
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Method to convert Kinect's 3D depth data to a 2D map for indoor SLAM
31 citations · 2013
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Universiti Malaysia Perlis

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
    Electronic Nose Calibration Process for Monitoring Atmospheric Hazards in Confined Space Applications
    5 citations · 2018
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago