Minghan Lai
Papers
1
Total Citations
6
H-Index
1
About
Minghan Lai is a researcher at the forefront of industrial wireless sensor networks, with a primary focus on energy-efficient communication and wireless power transfer. His most cited work, "Improving Wireless Charging Efficiency with Machine Vision and Communication for Industrial Wireless Rechargeable Sensor Networks" (2020), addresses a critical challenge in the field: the precise alignment of charging coils to maximize energy transfer. By integrating machine vision with wireless communication, Lai’s approach enables mobile chargers to autonomously and accurately position themselves, significantly boosting charging efficiency and extending sensor network lifetimes. This contribution has garnered 6 citations, reflecting its relevance to both academia and industry. Lai’s research bridges the gap between computer vision, robotics, and energy management, offering practical solutions for sustainable industrial automation. His work is particularly notable for its interdisciplinary nature, combining hardware control with intelligent algorithms to solve real-world deployment issues. For students and researchers exploring wireless rechargeable sensor networks, Lai’s innovative integration of sensing and communication provides a compelling model for future energy-autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1