Dr. Shijun Pan is a researcher specializing in the application of artificial intelligence (AI), remote sensing, and deep learning technologies in environmental and civil engineering, particularly in river management. His work integrates advanced technologies such as UAVs (drones), LiDAR, and AI models like YOLOv5/v7/v8 and DeepLabV3+ to address challenges in hydraulic engineering and environmental monitoring. Disciplines Civil Engineering, Environmental Engineering, Artificial Intelligence Skills and expertise Hydraulic Engineering, Image Processing, GIMP, Remote Sensing, UAV, Orthophoto, Photogrammetry, Airborne LiDAR Bathymetry, Green LiDAR System, CloudCompare, Deep Learning, semantic segmentation, DeepLabV3+, Edge Detection, Object Detection, Road crack detection, Ayu Fish Detection, Riparian Garbage Detection, super resolution, GradCam, Structure From Motion, BASEGRAIN, Image Fusion, Underwater camera, LiDAR Visulization, Roboflow, YOLOv5/v7/v8, AIGC (Stable Diffusion) Languages Chinese, English, Japanese, German, Arabic