Han Fan
Papers
14
Total Citations
352
H-Index
9
About
Han Fan is a robotics and sensing researcher whose work sits at the intersection of mobile robotics, electronic nose technology, and gas dispersion modeling. He is best known for developing GADEN, a landmark 3D gas dispersion simulator built on the Robot Operating System (ROS) that enables realistic validation of robotic olfaction systems using computational fluid dynamics principles — a contribution that has garnered over 115 citations and become a foundational tool in the field. His research consistently addresses the challenge of deploying gas-sensing robots in uncontrolled, real-world environments, from emergency response scenarios involving firefighters and urban search-and-rescue teams to industrial settings such as foundries where workers face chronic exposure to hazardous airborne pollutants. Fan has made significant contributions to electronic nose design, notably developing the FireNose — a ruggedized multi-sensor unit combining metal oxide and infrared sensing technologies for discriminating both known and unknown gases under harsh conditions. His methodological innovations span probabilistic airflow modeling, density-peak-based clustering for gas discrimination, and ensemble machine learning approaches for robust chemical detection. With a body of work accumulating over 330 citations across diverse application domains, Fan has established himself as a productive contributor advancing the practical deployment of robotic olfaction in safety-critical environments.
Research Focus
Key Achievements
Top Papers
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- 4FireNose on Mobile Robot in Harsh Environments30 citations · 2019
- 5Time-dependent gas distribution modelling24 citations · 2017
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