Summary
Seunghwan Yoo is an Imaging Algorithm Engineer with 12 years of experience applying advanced image reconstruction and computer vision techniques to commercial mobile cameras and research systems. He holds a Ph.D. in EECS from Northwestern University, where his work spanned Poisson deconvolution, multi-frame 3D reconstruction, super-resolution, and GAN-based limited-angle tomography. At Motorola Mobility he integrates and tunes imaging and 3A algorithms for smartphones—developing features like selfie panorama, factory test software for OIS and flash calibration, and debugging face-detection pipelines. His background combines deep academic research with practical mobile and embedded engineering from roles at LG and internships at Dolby, Argonne, and sports analytics, giving him a rare fluency across algorithm development, system-level integration, and on-device performance trade-offs. Colleagues value his ability to translate complex inverse-problem methods into robust, production-ready imaging features that run under tight resource and latency constraints.
12 years of coding experience
4 years of employment as a software developer
Bachelor, Electronic Engineering, Bachelor, Electronic Engineering at Sogang University
Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science at Northwestern University
Hansung Science High School
Korean, English, German