Ding Yang received the Ph.D. degree in Information and Communication Engineering from the University of Electronic Science and Technology of China. He is currently a Lecturer with the College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China. His research interests include artificial intelligence, deep learning, borehole radar, ground-penetrating radar, through-wall radar signal processing, denoising, imaging, inversion, physics-informed neural networks, and nuclear instrumentation data processing. He has published papers in journals and conferences related to borehole radar, ground-penetrating radar, electromagnetic imaging, deep learning inversion, and nuclear instrumentation. He has served as a reviewer for IEEE Geoscience and Remote Sensing Letters, Measurement Science and Technology, Near Surface Geophysics, The Journal of Supercomputing, Physica Scripta, Engineering Research Express, Environmental Research Communications, and Frontiers journals. He received the IOP Trusted Reviewer recognition and the IOP Outstanding Reviewer Award, and is an IOP Associate Member. ORCID: 0000-0002-0301-2424. Email: yuesibi@hotmail.com; yangding@cdut.edu.cn