Youngjib Ham
Youngjib Ham
Associate Professor, Texas A&M University
Verified email at - Homepage
Cited by
Cited by
Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works
Y Ham, KK Han, JJ Lin, M Golparvar-Fard
Visualization in Engineering 4 (1), 1-8, 2016
Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling
Y Ham, M Golparvar-Fard
Automation in Construction 49, 214-224, 2015
Participatory sensing and digital twin city: Updating virtual city models for enhanced risk-informed decision-making
Y Ham, J Kim
Journal of Management in Engineering 36 (3), 04020005, 2020
An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery
Y Ham, M Golparvar-Fard
Advanced Engineering Informatics 27 (3), 395-409, 2013
3D as-is building energy modeling and diagnostics: A review of the state-of-the-art
YK Cho, Y Ham, M Golpavar-Fard
Advanced Engineering Informatics 29 (2), 184-195, 2015
EPAR: Energy Performance Augmented Reality models for identification of building energy performance deviations between actual measurements and simulation results
Y Ham, M Golparvar-Fard
Energy and Buildings 63, 15-28, 2013
Analyzing context and productivity of tunnel earthmoving processes using imaging and simulation
H Kim, S Bang, H Jeong, Y Ham, H Kim
Automation in Construction 92, 188-198, 2018
Construction policymaking: With an example of Singaporean government’s policy to diffuse prefabrication to private sector
M Park, Y Ingawale-Verma, W Kim, Y Ham
KSCE journal of civil engineering 15, 771-779, 2011
Challenges, tasks, and opportunities in teleoperation of excavator toward human-in-the-loop construction automation
JS Lee, Y Ham, H Park, J Kim
Automation in Construction 135, 104119, 2022
Developing human-centered urban digital twins for community infrastructure resilience: A research agenda
X Ye, J Du, Y Han, G Newman, D Retchless, L Zou, Y Ham, Z Cai
Journal of Planning Literature 38 (2), 187-199, 2023
Effective risk positioning through automated identification of missing contract conditions from the contractor’s perspective based on FIDIC contract cases
JH Lee, Y Ham, JS Yi, JW Son
Journal of Management in Engineering 36 (3), 05020003, 2020
Vision-based nonintrusive context documentation for earthmoving productivity simulation
H Kim, Y Ham, W Kim, S Park, H Kim
Automation in Construction 102, 135-147, 2019
3D Visualization of thermal resistance and condensation problems using infrared thermography for building energy diagnostics
Y Ham, M Golparvar-Fard
Visualization in Engineering 2, 1-15, 2014
Automated content-based filtering for enhanced vision-based documentation in construction toward exploiting big visual data from drones
Y Ham, M Kamari
Automation in Construction 105, 102831, 2019
Automated diagnostics and visualization of potential energy performance problems in existing buildings using energy performance augmented reality models
M Golparvar-Fard, Y Ham
Journal of Computing in Civil Engineering 28 (1), 17-29, 2014
Systematic camera placement framework for operation-level visual monitoring on construction jobsites
J Kim, Y Ham, Y Chung, S Chi
Journal of Construction Engineering and Management 145 (4), 04019019, 2019
AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning
M Kamari, Y Ham
Automation in Construction 134, 104091, 2022
Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites
M Kamari, Y Ham
Automation in Construction 121, 103430, 2021
Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works, Vis. Eng. 4 (1)(2016) 1
Y Ham, KK Han, JJ Lin, M Golparvar-Fard
DOI: https://doi. org/10.1186/s40327-015-0029-z, 2016
Physiological sensing-driven personal thermal comfort modelling in consideration of human activity variations
J Lee, Y Ham
Building Research & Information 49 (5), 512-524, 2021
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