Hui Hwang Goh
Papers
3
Total Citations
244
H-Index
3
About
Hui Hwang Goh is a leading researcher at the intersection of artificial intelligence, sustainable engineering, and intelligent control systems. His work spans three transformative domains: circular economy solutions for climate change mitigation, precision agriculture through deep learning, and advanced distributed control for multi-agent systems. Goh's most impactful contribution is his pioneering study on digital transformation in Moscow's waste collection service, which demonstrates how applying a circular economy paradigm can significantly reduce environmental impacts—a work that has garnered 210 citations and serves as a blueprint for urban sustainability worldwide. In agricultural technology, he developed WeedNet-R, an enhanced RetinaNet architecture for weed detection in sugar beet fields, achieving 28 citations for solving the critical challenge of distinguishing crops from weeds in complex natural environments. Most recently, Goh has advanced the field of distributed control with a fixed-time, event-triggered mechanism for multi-agent systems, addressing fundamental challenges in robotic formations and smart grids. His research uniquely bridges theoretical innovation with practical implementation, making him a vital contributor to sustainable technology development.
Research Focus
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