Summary
Soohwan Kim is an associate professor in Information Convergence at Kwangwoon University with 12 years of experience bridging academic research and industry in computer vision, SLAM, and multimodal sensor fusion for autonomous systems. He has led cutting-edge perception work at NVIDIA and research roles at CSIRO and Bosch, developing real-time visual SLAM, dynamic object detection, and continuous-time trajectory methods for LiDAR/IMU/camera integration. His teaching covers computer vision, AI, and deep learning, while his research focuses on practical sensor fusion for autonomous vehicles and 3D mapping. Trained in mechanical and aerospace engineering (Seoul National University) and computer science (USC) with a PhD from ANU, he combines systems-level thinking with hands-on C++/ROS implementation experience. Notably, his career uniquely spans VFX and robotics—contributing to film VFX research early on—bringing creative problem-solving to rigorous perception problems.
12 years of coding experience
14 years of employment as a software developer
Bachelor's Degree, Mechanical and Aerospace Engineering, Bachelor's Degree, Mechanical and Aerospace Engineering at Seoul National University
Master's Degree, Computer Science, Master's Degree, Computer Science at University of Southern California
Australian National University