Computational Sensing Group (CSG) of Xiamen University integrates information and mathematics theory, signal and image processing methods, artificial intelligence technology.It is closely integrated with optimization models, numerical algorithms, high-performance distributed computing and big data cloud platforms. In order to establish a new theoretical method of high-efficiency, high-fidelity and low-cost computational perception. The range of perception ranges from atomic molecular molecular imaging to large-scale remote sensing images, as well as virtual networked big data medical and social networks.

At present, the main research direction is computational medical imaging, dedicated to breaking through the Nyquist sampling criteria through signal models, reconstruction algorithms and artificial intelligence, promoting the development of fast, high-dimensional, high-resolution, intelligent magnetic resonance medical imaging technology and solving high-end magnetic resonance medicine The key bottleneck of imaging equipment, creating original and independent intellectual property rights of new medical imaging technologies, achieving rapid molecular detection and stable medical imaging, advancing the development of signal processing methods and cutting-edge scientific research in medical imaging, protecting people's health and reducing medical costs .

(Source: http://csrc.xmu.edu.cn)