Papers
15
Total Citations
182
H-Index
10
About
Rui Tan is a pioneering researcher at the intersection of robotic sensor networks, cyber-physical systems, and aquatic environmental monitoring. His work addresses some of the most pressing ecological challenges of our time, including chemical pollution, harmful algal blooms, and aquatic debris, by developing intelligent mobile sensing systems capable of real-time environmental profiling. Tan's most celebrated contributions center on deploying robotic sensor swarms and smartphone-integrated robotic fish to detect and reconstruct spatiotemporal aquatic processes with remarkable accuracy and energy efficiency. His most cited work, "Profiling Aquatic Diffusion Process Using Robotic Sensor Networks" (31 citations), exemplifies his ability to translate complex environmental problems into elegant cyber-physical solutions. His innovative SOAR and Samba platforms demonstrate how off-the-shelf Android smartphones can be repurposed as powerful embedded sensing tools for ecological surveillance. Beyond aquatic systems, Tan has extended his expertise into industrial cyber-physical systems, exploring QoS-aware routing in SDN-based robotic networks relevant to Industry 4.0. With over 160 cumulative citations across his top works, his research offers students and practitioners a compelling model of how sensor intelligence, robotics, and environmental stewardship can converge to produce meaningful, real-world impact.
Research Focus
Key Achievements
Top Papers
- 1Profiling Aquatic Diffusion Process Using Robotic Sensor Networks31 citations · 2013
- 2
- 3Aquatic debris monitoring using smartphone-based robotic sensors19 citations · 2014
- 4Spatiotemporal Aquatic Field Reconstruction Using Robotic Sensor Swarm16 citations · 2012
- 5Aquatic debris monitoring using smartphone-based robotic sensors14 citations · 2014
- 6
- 7
- 8ORBIT: A Platform for Smartphone-Based Data-Intensive Sensing Applications12 citations · 2016
- 9Samba10 citations · 2015
- 10