ProfessorsProfessors of Korea UniversityHansaem Park

Hansaem Park

Korea University

H-index: 10

Asia-South Korea

About Hansaem Park

Hansaem Park, With an exceptional h-index of 10 and a recent h-index of 8 (since 2020), a distinguished researcher at Korea University, specializes in the field of xEMS, AI, Time-series analysis, Optimal control, Indoor built environment.

His recent articles reflect a diverse array of research interests and contributions to the field:

Vision-based personal thermal comfort prediction based on half-body thermal distribution

Cross-building prediction of natural ventilation rate with small datasets based on a hybrid ensembled transfer learning

Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model

Prediction of individual thermal comfort based on ensemble transfer learning method using wearable and environmental sensors

Enhanced LSTM-based community energy consumption prediction model leveraging shared building cluster datasets

Stacking deep transfer learning for short-term cross building energy prediction with different seasonality and occupant schedule

OPTIMIZATION OF BUILDING MATERIAL SELECTION FOR ENERGY SAVING IN COMMERCIAL BUILDINGS IN DIFFERENT CLIMATIC CONDITIONS

Vision-Based Pedestrian’s Crossing Risky Behavior Extraction and Analysis for Intelligent Mobility Safety System

Hansaem Park Information

University	Korea University
Position	Department of Computer and Information Science
Citations(all)	282
Citations(since 2020)	247
Cited By	97
hIndex(all)	10
hIndex(since 2020)	8
i10Index(all)	10
i10Index(since 2020)	8
Email	Access Email
University Profile Page	Korea University
Google Scholar	View Google Scholar Profile

Hansaem Park Skills & Research Interests

xEMS

Time-series analysis

Optimal control

Indoor built environment

Top articles of Hansaem Park

Title	Journal	Author(s)	Publication Date
Vision-based personal thermal comfort prediction based on half-body thermal distribution	Building and Environment	Jeongyeop Baek Dong Yoon Park Hansaem Park Duc Minh Le Seongju Chang	2023/1/15
Cross-building prediction of natural ventilation rate with small datasets based on a hybrid ensembled transfer learning	Building and Environment	Hansaem Park Dong Yoon Park Juntae Jake Son Joon-Ho Choi	2023/8/15
Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model	Accident Analysis & Prevention	Byeongjoon Noh Hansaem Park Hwasoo Yeo	2022/2/1
Prediction of individual thermal comfort based on ensemble transfer learning method using wearable and environmental sensors	Building and Environment	Hansaem Park Dong Yoon Park	2022/1/1
Enhanced LSTM-based community energy consumption prediction model leveraging shared building cluster datasets	Journal of Building Performance Simulation	Jeongyeop Baek Hansaem Park Seongju Chang	2022/11/2
Stacking deep transfer learning for short-term cross building energy prediction with different seasonality and occupant schedule	Building and Environment	Hansaem Park Dong Yoon Park Byeongjoon Noh Seongju Chang	2022/6/15
OPTIMIZATION OF BUILDING MATERIAL SELECTION FOR ENERGY SAVING IN COMMERCIAL BUILDINGS IN DIFFERENT CLIMATIC CONDITIONS	Journal of Greenbuilding	J Son B Noh H Park	2022
Vision-Based Pedestrian’s Crossing Risky Behavior Extraction and Analysis for Intelligent Mobility Safety System	Sensors	Byeongjoon Noh Hansaem Park Sungju Lee Seung-Hee Nam	2022/4/30
Comparative analysis on predictability of natural ventilation rate based on machine learning algorithms	Building and Environment	Hansaem Park Dong Yoon Park	2021/5/15
Multi-criteria performance assessment for semi-transparent photovoltaic windows in different climate contexts	Sustainability	Gigih Rahmandhani Setyantho Hansaem Park Seongju Chang	2021/2/18