Professor Chou is a faculty in the Department of Biomechatronics Engineering at National Taiwan University, where she also has joint appointments with the Institute of Medical Device and Imaging and the Master's Program in Statistics. She has been at the forefront of numerous research initiatives funded by the National Science and Technology Council, the Council of Agriculture, the Ministry of Health and Welfare, and Academia Sinica. Her leadership extends to the execution of multi-year integrated projects for the National Science and Technology Council, showcasing her extensive expertise and dedication to scientific advancement.

Throughout her career, Professor Chou has concentrated on the innovation and development of imaging technologies in both agricultural and biomedical fields. Her pioneering work includes the creation of AI models capable of automatically identifying crop types and growth stages from aerial imagery, as well as estimating the dynamic thermal capacity of power lines using AI and IoT technologies. Her contributions to imaging technology span various applications, including mammography, PET scan-assisted proton therapy dose distribution assessment, AI and fluid dynamics simulations for coronary artery blood flow, intravascular photoacoustic imaging for atherosclerosis plaque diagnosis, and the development of rapid diagnostic tests. In recent years, she has adeptly applied advanced techniques such as deep learning, machine learning, medical image reconstruction, image processing, computational fluid dynamics simulation, and statistical analysis to tackle critical challenges in agriculture and medicine, effectively integrating these technologies to address significant issues in both fields.

​Computational Intelligence in Biomedical Imaging Laboratory at National Taiwan University is led by Professor Cheng-Ying Chou, the Computational Intelligence in Biomedical Imaging Laboratory conducts research in two major fields: biomedical imaging and agricultural imaging.

We are dedicated to applying deep learning methods to tackle problems in these areas and provide innovative solutions for challenging issues.