Kim Mi-Hye
Kim Mi-Hye
Chungbuk National University · Computer Science and Engineering
About
김미혜 교수 연구실은 인공지능, 메타버스, 디지털트윈 등 신기술 기반 디지털 환경 대응 연구를 수행한다. 다변량 데이터에서 이상치가 예측 성능을 저해하는 문제를 전처리와 통계적 탐지(마할라노비스 거리 등)로 다루며, IoT 원격 모니터링과 의료·환경 위험 예측에 응용한다. 김 교수는 인공지능·메타버스·디지털트윈 연구 공로로 2023년 과학·정보통신의 날 과학기술진흥 대통령표창을 수상했다.
Research keywords
Recent papers
- An Anomaly-Aware Analysis of Metabolic Heterogeneity in Diabetes Risk During and After COVID-19Drug Targets and Therapeutics · Sep 28
- Efficient hybrid CNN–ViT framework for pulmonary nodule classification in CT images using feature-level optimizationScientific Reports · Aug 12
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: AI in cancer detection
Mun Yong Yi
KAIST · Graduate School of Data Science
Fractal-based artificial class activation maps for data augmentation in whole-slide image analysisScientific Reports · Aug 7Seung Min Park
Kyung Hee University · Chemistry
Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancerPreprintarXiv (Cornell University) · Aug 4Valentina Boeva 교수 연구실
ETH Zurich · Department of Computer Science
DistillPath: An Efficient 22M Distilled Pathology Encoder Approaching Large Foundation Model PerformancePreprintarXiv (Cornell University) · Aug 18
Other labs in this department
- Kim Bong-Jae
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System software, Embedded and mobile systems
- Kim Sung-Jin
Sung-Jin Kim
Computer Architecture
- Park Soo-Chang
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Wireless Networks, Internet of Things, Data Analytics, Digital Twins
- Seo Young-Hoon
Young-Hoon Seo
Natural Language Processing
- Jeong Young-Seob
Young-Seob Jeong
Text Mining, Artificial Intelligence
- Jo Gyu-Ri
Kyuri Jo
Bioinformatics & Machine Learning