A connected view of learning
I am a postdoctoral researcher at the Life Science Research Institute, KAIST. My research connects graph representation learning, semi-supervised learning, and domain adaptation with biomedical problems, including dementia subtyping, longitudinal prediction, and biomarker discovery. I received my Ph.D. in Artificial Intelligence from Ajou University, advised by Professor Hyunjung Shin, and previously conducted postdoctoral research at Ajou University School of Medicine.
sunghongpark.ai@kaist.ac.kr · https://sunghongpark.ai
Experience
Postdoctoral Researcher
KAIST
Life Science Research Institute · Daejeon, Republic of Korea
Postdoctoral Researcher
Ajou University School of Medicine
Suwon, Republic of Korea
Education
Ph.D. in Artificial Intelligence
Ajou University
Thesis: Graph Domain Adaptation for Semi-Supervised Learning. Advisor: Professor Hyunjung Shin.
B.S. in Industrial Engineering
Ajou University
Department of Industrial Engineering · Suwon, Republic of Korea
Secondary education
Daegu Science High School
Daegu, Republic of Korea
Awards & honors
Best Presentation Paper Award
Korea Computer Congress (KCC 2022)
Predicting Alzheimer’s disease progression using multi-site domain adaptation
Best Paper Award
Korea Software Congress (KSC 2020)
Mutual Semi-Supervised Learning
Best Paper Award
Korea Computer Congress (KCC 2018)
Inference on Chains of Disease Causal Relationship based on k-shortest Path Algorithm
Best Presentation Paper Award
Korea Computer Congress (KCC 2018)
SentiWordNet based Korean Sentiment Dictionary Construction via Machine Learning
Research record
13 published journal articles, 17 patent applications across KR/PCT/US filings, and 2 NRF research grants as Principal Investigator.
The full archive preserves the 31 individually listed conference records from the public website.