Summary
Jihoon Moon is an AI researcher and software engineer with a Ph.D. in Electrical and Computer Engineering from Purdue University and nine years of experience applying machine learning to robotics and real-time systems. He specializes in reinforcement learning, computer vision, Bayesian deep learning, and edge-optimized model deployment—having shipped TensorRT-accelerated CNNs and uncertainty-aware pupil-tracking for automotive HUDs. His work spans both foundational research (online unsupervised domain adaptation, unsupervised semantic tracking) and practical system-building in C++, PyTorch, and TensorFlow. Notably, he has implemented real-time localization and SLAM components for mobile robots and translated that research into production-ready perception pipelines. Based in South Korea and currently a postdoctoral researcher at Sungkyunkwan University, he blends rigorous academic training with hands-on engineering to bridge lab ideas and deployable embedded solutions.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, 4.02/4.3, Master of Science - MS, Electrical and Computer Engineering, 4.02/4.3 at 서울대학교 (Seoul National University)
Bachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at Seoul National University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0/4.0, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0/4.0 at Purdue University
Korean, English