SangHyun Lee

SangHyun Lee

University of Michigan

H-index: 60

North America-United States

About SangHyun Lee

SangHyun Lee, With an exceptional h-index of 60 and a recent h-index of 47 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Construction Engineering and Management, IT, Simulation and Sensing, Sustainability and Energy, Behavior and Social Influence.

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

Deep-Learning Domain Adaptation to Improve Generalizability across Subjects and Contexts in Detecting Construction Workers’ Stress from Biosignals

Time-series data clustering with load-shape preservation for identifying residential energy consumption behaviors

Hybrid DNN training using both synthetic and real construction images to overcome training data shortage

Near Real-time 3D reconstruction and quality 3d point cloud for time-critical construction monitoring

Sensor-integrated hybrid blockchain system for supply chain coordination in volumetric modular construction

3D Excavator Pose Estimation Using Projection-Based Pose Optimization for Contact-Driven Hazard Monitoring

Collective Sensing of Workers’ Loss of Body Balance for Slip, Trip, and Fall Hazard Identification: Field Validation Study

Assessing exposure to slip, trip, and fall hazards based on abnormal gait patterns predicted from confidence interval estimation

SangHyun Lee Information

University

Position

Professor of Civil and Environmental Engineering

Citations(all)

11224

Citations(since 2020)

7674

Cited By

6817

hIndex(all)

60

hIndex(since 2020)

47

i10Index(all)

163

i10Index(since 2020)

129

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

SangHyun Lee Skills & Research Interests

Construction Engineering and Management

IT

Simulation and Sensing

Sustainability and Energy

Behavior and Social Influence

Top articles of SangHyun Lee

Title

Journal

Author(s)

Publication Date

Deep-Learning Domain Adaptation to Improve Generalizability across Subjects and Contexts in Detecting Construction Workers’ Stress from Biosignals

Journal of Computing in Civil Engineering

Gaang Lee

SangHyun Lee

2024/5/1

Time-series data clustering with load-shape preservation for identifying residential energy consumption behaviors

Energy and Buildings

Jinwoo Kim

Kwonsik Song

Gaang Lee

SangHyun Lee

2024/4/4

Hybrid DNN training using both synthetic and real construction images to overcome training data shortage

Automation in Construction

Jinwoo Kim

Daeho Kim

SangHyun Lee

Seokho Chi

2023/5/1

Near Real-time 3D reconstruction and quality 3d point cloud for time-critical construction monitoring

Buildings

Zuguang Liu

Daeho Kim

Sanghyun Lee

Li Zhou

Xuehui An

...

2023/2/8

Sensor-integrated hybrid blockchain system for supply chain coordination in volumetric modular construction

Journal of Construction Engineering and Management

Dongmin Lee

Leyang Wen

Jin Ouk Choi

SangHyun Lee

2023/1/1

3D Excavator Pose Estimation Using Projection-Based Pose Optimization for Contact-Driven Hazard Monitoring

Journal of Computing in Civil Engineering

Leyang Wen

Daeho Kim

Meiyin Liu

SangHyun Lee

2023/1/1

Collective Sensing of Workers’ Loss of Body Balance for Slip, Trip, and Fall Hazard Identification: Field Validation Study

Journal of Computing in Civil Engineering

Hoonyong Lee

Gaang Lee

Seongeun Park

SangHyun Lee

Jesse V Jacobs

...

2023/1/1

Assessing exposure to slip, trip, and fall hazards based on abnormal gait patterns predicted from confidence interval estimation

Automation in Construction

Hoonyong Lee

Gaang Lee

SangHyun Lee

Changbum R Ahn

2022/7/1

Delegation or collaboration: Understanding different construction stakeholders’ perceptions of robotization

Journal of Management in Engineering

YeSeul Kim

Hyunsoo Kim

Robin Murphy

SangHyun Lee

Changbum R. Ahn

2022/1

Construction noise management: A systematic review and directions for future research

Mostafa Mir

Farnad Nasirzadeh

SangHyun Lee

Densil Cabrera

Anthony Mills

2022/8/1

Construction Image Synthetization to Overcome a Small, Biased Real Training Dataset for DNN-Powered Visual Scene Understanding

Jinwoo Kim

Daeho Kim

SangHyun Lee

2022/12/11

Advancing Towards Automated Ergonomic Assessment: A Panel of Perspectives

Daniel P Armstrong

Christopher AB Moore

Lora A Cavuoto

Sean Gallagher

SangHyun Lee

...

2022

Conditional generative adversarial networks with adversarial attack and defense for generative data augmentation

Journal of Computing in Civil Engineering

Francis Baek

Daeho Kim

Somin Park

Hyoungkwan Kim

SangHyun Lee

2022/5/1

Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction

Advanced Engineering Informatics

Dongmin Lee

SangHyun Lee

Neda Masoud

MS Krishnan

Victor C Li

2022/8/1

Investigating the effects of different levels and types of construction noise on emotions using EEG data

Building and Environment

Mostafa Mir

Farnad Nasirzadeh

Hannah Bereznicki

Peter Enticott

SangHyun Lee

2022/11/1

Synthetic Training Image Dataset for Vision-Based 3D Pose Estimation of Construction Workers

Jinwoo Kim

Daeho Kim

Julianne Shah

SangHyun Lee

2022

Paired electrodes-and contraint independent components analysis-based denoising to alleivate motion artifacts in electroencephalogram collected at construction sites

Gaang Lee

Juhyeon Bae

SangHyun Lee

2022/7/24

The psychological mechanism of construction workers’ safety participation: The social identity theory perspective

Journal of safety research

Byungjoo Choi

SangHyun Lee

2022/9/1

Human-centric robotic manipulation in construction: Generative adversarial networks based physiological computing mechanism to enable robots to perceive workers’ cognitive load

Canadian Journal of Civil Engineering

Yizhi Liu

Amit Ojha

Shayan Shayesteh

Houtan Jebelli

SangHyun Lee

2022/7/5

Feasibility of a mobile electroencephalogram (EEG) sensor-based stress type classification for construction workers

Gaang Lee

SangHyun Lee

2022

See List of Professors in SangHyun Lee University(University of Michigan)

Co-Authors

H-index: 74
Chimay Anumba

Chimay Anumba

University of Florida

H-index: 69
Thomas Armstrong

Thomas Armstrong

University of Michigan

H-index: 68
Carl Haas

Carl Haas

University of Waterloo

H-index: 59
Simaan Abourizk

Simaan Abourizk

University of Alberta

H-index: 54
Feniosky Pena-Mora

Feniosky Pena-Mora

Columbia University in the City of New York

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