Kai Wang is currently focusing on the application of optoelectronic materials and devices in the domain of cross-disciplinary research areas, spanning materials science, microelectronics, biology, artificial intelligence and other aspects.
By combining research of materials, devices, and systems, Wang established a new framework that can perform simple bionic simulation of complex retinal systems, and successfully proved that artificial photoreceptors are capable of “correcting” vision errors, thereby realizing the functional reproduction of the "intelligent vision" of organic organisms using artificial materials.
The "artificial retina" imitates the working mechanism of the natural retina, especially its self-healing ability. Not only will it help the medical community to provide more effective intervention for blindness and visual impairment, but it can also be expanded to other biosensors and bionics fields.
In addition, Wang’s research also includes neurotransmitter dynamic sensing and machine learning-assisted prediction of biological movement. The former can detect the release and absorption of neurotransmitters in real time and with high sensitivity, which will help research and treat neurological diseases. With the help of advanced data analysis and machine learning algorithms, the latter hopes to develop a system that can predict and explain the movement and behavior of organisms in different environments and situations.
Overall, Wang’s research is expected to provide reference and inspiration for the global problem of visual impairment and promote interdisciplinary research on optoelectronic materials and devices and future biomedicine, microelectronics, artificial intelligence and other fields.