3rd Prize, AutoCV1 track of AutoDL Challenge (Jul. 2019), Team base_1
4th Place, Adversarial Vision Challenge (Robust Model Track), NeurIPS 2018 (Dec. 2018), Team LAIR
Excellent Paper Award, Korea Software Congress (KSC) 2018 (Dec. 2018): "Comparing regularization methods for generalization of neural network against noises including adversarial attack"
Press coverage by Health Imaging (Apr. 2017): "3-modality fusion imaging may illuminate surgical guidance"
Postdoctoral Fellowship Scholarship from Japan Society for the Promotion of Science (Jul. 2016 – May 2018)
Published multiple journal papers in IEEE Transactions on Industrial Informatics, Scientific Reports, Medicine, American Journal of Roentgenology, Computer Assisted Surgery, IEEE Transactions on Medical Imaging, Minimally Invasive Therapy & Allied Technologies, etc.
Research Experience
Researcher, LG AI Research, Seoul, Korea (Apr. 2022 – present): Medical AI, multi-modal learning, biomarker discovery, prognosis prediction
LG AI Research, Toronto, ON, Canada (Feb. 2019 – Mar. 2022): Enterprise AI, vision inspection, AutoML & reinforcement learning, learning theory for lifelong and transfer learning, Explainable AI (XAI), data-driven prediction, academy-industry collaborative projects
LG CNS, Seoul, Korea (Jul. 2018 – Jan. 2019): AI research for inspection & automation in smart factory
Center for Integration of Advanced Medicine Life Science Innovative Technologies (CAMIT), Kyushu University, Fukuoka, Japan (Jun. 2016 – Jun. 2018): Deep learning in medicine, surgical navigation R&D, 3D visualization of organs, measuring anatomic structures and movements, machine learning for medical applications
Institute of Intelligent Surgical Technology, Hanyang University, Seoul, Korea (Sep. 2014 – May 2016): Medical software for viewing/rendering/processing medical images, surgical navigation, system integration