Summary
Seokeon Choi is a Staff Research Engineer at Qualcomm with a decade of experience at the intersection of computer vision and machine learning, supported by a prolific publication record including 19 top-tier conference papers and TPAMI/TIFS journal articles. He progressed from research internships at Google and a visiting stint at Carnegie Mellon to senior and staff research roles at Qualcomm, translating deep academic expertise into industrial research impact. A high-achieving Ph.D. candidate at KAIST with near-perfect academic grades since his bachelor’s at Sungkyunkwan, he combines rigorous theoretical grounding with practical problem-solving. His work frequently appears at flagship venues (CVPR, ICCV, ECCV, NeurIPS), signaling both breadth and depth across vision topics. Colleagues describe him as a research-driven engineer who reliably moves ideas from publication to real-world R&D at scale.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, 4.41 / 4.50 (99%), Bachelor's degree, Electrical and Electronics Engineering, 4.41 / 4.50 (99%) at Sungkyunkwan University
ph.d candidate, Electrical and Electronics Engineering, 4.06 / 4.30 (97%), ph.d candidate, Electrical and Electronics Engineering, 4.06 / 4.30 (97%) at Korea Advanced Institute of Science and Technology
Korean, English