Summary
Yan Pang is an Associate Professor and deep learning researcher with eight years of experience specializing in computer vision, graph neural networks, object detection, human pose estimation, and multi-sensor fusion. He combines rigorous academic training (PhD in Electrical and Electronics Engineering) with applied research that spans UAV imagery for agriculture, clinical movement quantification for Parkinson’s, and automated signal detection, with several papers published and others under review. Yan has bridged academia and industry through roles from graduate research and teaching in the U.S. to machine learning work in industry and now leading research at the Shenzhen Institutes of Advanced Technology. He is skilled at deploying models on edge hardware and heterogeneous platforms (NVIDIA TX2/TX1, FPGAs, Raspberry Pi, UAVs), which informs his work on real-world, sensor-driven vision systems. Notably, his research blends generative methods with detection/localization (e.g., GANs with CenterNet-Lite) and multispectral skeleton fusion for action recognition, reflecting a practical focus on robust, cross-domain perception.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 4.0, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 4.0 at University of Colorado Denver
Bachelor of Engineering (B.E.), Automation Engineering, Bachelor of Engineering (B.E.), Automation Engineering at Henan Polytechnic University
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at University of Wyoming
Master of Engineering (M.Eng.), Electronic Engineering, Master of Engineering (M.Eng.), Electronic Engineering at Politecnico di Torino
Chinese, English