Summary
Jun Cheng is a senior research and editorial leader in medical and computer vision with a PhD from Nanyang Technological University and over a decade of experience translating imaging research into real-world systems. He has led teams at I²R and UBTECH, driven projects in ocular and cardiac OCT image analysis, and holds more than 10 patents alongside publications in TMI, TIP, TBME, MICCAI and CVPR. Now Senior Area Editor at IEEE TIP and Principal Scientist focused on 3D/robust vision, generative AI and learning with limited data, he bridges academic rigor and industry deployment. Based in Shenzhen, he combines deep expertise in medical imaging, machine learning and computational pathology with a track record of steering major conference programs and journal review processes. An interesting thread through his career is consistent emphasis on prototyping—moving algorithms from papers into practical imaging systems for clinical impact.
9 years of coding experience