Seunghyun Hwang

I earned my bachelor's degree in computer science, and currently preparing for graduate school. I am searching for professor whose research area fits my research interests. I will be applying for fall 2021 doctoral admission in computer science.

My research interest is centered on computer vision, uncertainty quantification, anomaly detection, representation learning, self-supervised learning, energy-based models, interpreting neural net with differential equations, and is motivated by a range of applications, in particular ones in the field of medical deep learning.

Education

Yonsei University, Seoul, South Korea

Bachelor of Engineering, Computer Science, Aug 2020

Purdue University, West Lafayette (IN), United States

PhD Student, Electrical Computer Engineering, Sep 2021 ~

Skills

Programming Languages

(Proficient) Python, (Familiar) C, C++, Java, R

Deep Learning Framework

(Proficient) Pytorch, (Familiar) Keras

Scripting Language

NodeJS, PHP, MySql, React Native, HTML, CSS, JavaScript

Employments

Research Assistant

• RA at Q Learning and Vision Research Lab (Qlab), Aug 2021 ~

Researcher

• Yonsei Severance Hospital CCIDS [Center for Clinical Imaging Data Science] , South Korea, Seoul, Sep 2019 ~

• Neurophet [AI Research Team], South Korea, Seoul, Sep 2020 ~

Self-Employment

Provide AI solutions for requested demands from freelance outsourcing website, Kmong, South Korea, Sep 2020 ~

Research Intern

• Cube Intelligence [Computer Vision Team], South Korea, Seoul, Dec 2018 ~ Feb 2019

• Deepnoid [AI Research Team], South Korea, Seoul, Jul 2019 ~ Aug 2019

Patent

South Korean Patent (Registered)

• “Methods for predicting cerebral infarction based on extracting lesion areas using deep learning models”, Hyunsuk Choi, Seunghyun Hwang, Hwiyoung Kim, Hyug-gi Kim, South Korean patent (10-2020-0128941), 2020

• “Methods for predicting cerebral infarction based on cerebral infarction severity”, Hyunsuk Choi, Seunghyun Hwang, Hwiyoung Kim, Hyug-gi Kim, South Korean patent (10-2020-0128943), 2020

• “Methods for predicting cerebral infarction based on the calculation of cerebral infarction volume”, Hyunsuk Choi, Seunghyun Hwang, Hwiyoung Kim, Hyug-gi Kim, South Korean patent (10-2020-128942), 2020

Academic Activities

Conference Presentation

• Presenter (Spotlight paper) @ Neural Information Processing Systems (NeurIPS), 2021

• Presenter @ Korea Society of Artificial Intelligence in Medicine (KOSAIM), 2020

• Presenter @ Radiological Society of North America (RSNA), Scientific Section, 2020

Workshop Instructor / TA

• Instructor @ Biomedical Data Science Summer Workshop, Yonsei University College of Medicine, South Korea, Seoul, Aug 2020

• TA @ Medical AI Specialist Training Course, Korea Human Resource Development Institute for Health & Welfare, South Korea, Seoul, Aug 2020

• Instructor @ Biomedical Data Science Winter Workshop, Yonsei University College of Medicine, South Korea, Seoul, Jan 2020

Challenge Participation

• Second Place @ MOAI Body Morphometry AI Segmentation Online Challenge, Wonkwang Research Institute of Medical & Life Convergence, South Korea, Seoul, Oct 2020

• Third Place @ MOAI MCRC Deep Learning Challenge for Urinary Stone Challenge, Wonkwang Research Institute of Medical & Life Convergence, South Korea, Seoul, Oct 2020

• Third Place @ Korea Health Datathon, National Cancer Center, Konyang University Hospital, Department of Artificial Intelligence at Konyang University, South Korea, Seoul, Sep 2020

Extracurricular Activities

Journal Club (Youtube)

Weekly read and discuss papers in the field of deep learning

Volunteer club

Member of Habitat, Yonsei University, South Korea. Provide home repair assistance for the seniors and disabled families

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