An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery. - Youngjib Ham; Mani Golparvar Fard (Adv. Eng. Informatics, 2013)

Automated Diagnostics and Visualization of Potential Energy Performance Problems in Existing Buildings Using Energy Performance Augmented Reality Models. - Mani Golparvar Fard; Youngjib Ham (J. Comput. Civ. Eng., 2014)

3D as-is building energy modeling and diagnostics: A review of the state-of-the-art. - Yong Kwon Cho; Youngjib Ham; Mani Golpavar-Fard (Adv. Eng. Informatics, 2015)

Three-Dimensional Thermography-Based Method for Cost-Benefit Analysis of Energy Efficiency Building Envelope Retrofits. - Youngjib Ham; Mani Golparvar Fard (J. Comput. Civ. Eng., 2015)

Forward-Backward Approach for 3D Event Localization Using Commodity Smartphones for Ubiquitous Context-Aware Applications in Civil and Infrastructure Engineering. - Hyungchul Yoon; Youngjib Ham; Mani Golparvar Fard; B. F. Spencer Jr. (Comput. Aided Civ. Infrastructure Eng., 2016)

Motion and Visual Data-Driven Distant Object Localization for Field Reporting. - Youngjib Ham; Hyungchul Yoon (J. Comput. Civ. Eng., 2018)

A Framework of Human-Motion Based Structural Dynamics Simulation Using Mobile Devices. - Hyungchul Yoon; Kevin K. Han; Youngjib Ham (Sensors, 2019)

A Digital Twin City Model for Age-Friendly Communities: Capturing Environmental Distress from Multimodal Sensory Data. - Changbum R. Ahn; Youngjib Ham; Jinwoo Kim; Jaeyoon Kim (HICSS, 2020)

Semantic Detection of Potential Wind-borne Debris in Construction Jobsites: Digital Twining for Hurricane Preparedness and Jobsite Safety. - Mirsalar Kamari; Youngjib Ham (CoRR, 2021)

A Digital Twin City Model for Capturing Walkability Distress of Elderly Adults. - Theodora Chaspari; Jinwoo Kim; Chanam Lee; Youngjib Ham; SangHyun Lee; Changbum R. Ahn (DTPI, 2022)

Analyzing Safety Risk Imposed by Jobsite Debris to Nearby Built Environments Using Geometric Digital Twins and Vision-Based Deep Learning. - Mirsalar Kamari; Jaeyoon Kim; Youngjib Ham (J. Comput. Civ. Eng., 2022)

Capturing Environmental Distress of Pedestrians Using Multimodal Data: The Interplay of Biosignals and Image-Based Data. - Jinwoo Kim; Ehsanul Haque Nirjhar; Jaeyoon Kim; Theodora Chaspari; Youngjib Ham; Jane Futrell Winslow; Chanam Lee; Changbum R. Ahn (J. Comput. Civ. Eng., 2022)

Underground Metal Pipeline Localization Using Low-Cost Wireless Magnetic Sensors Mounted on an Excavator. - Jeonghee Kim; Youngjib Ham; Hangue Park (IEEE Trans. Ind. Electron., 2022)

Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry. - Ci-Jyun Liang; Thai-Hoa Le; Youngjib Ham; Bharadwaj R. K. Mantha; Marvin H. Cheng; Jacob J. Lin (CoRR, 2023)

Measuring the Distance between Trees and Power Lines under Wind Loads to Assess the Heightened Potential Risk of Wildfire. - Seulbi Lee; Youngjib Ham (Remote. Sens., 2023)

Productivity Measurement through IMU-Based Detailed Activity Recognition Using Machine Learning: A Case Study of Masonry Work. - Sungkook Hong; Youngjib Ham; Jaeyoul Chun; Hyunsoo Kim (Sensors, 2023)

A multimodal analysis of environmental stress experienced by older adults during outdoor walking trips: Implications for designing new intelligent technologies to enhance walkability in low-income Latino communities. - Raquel Yupanqui; John Sohn; Yoojun Kim; Raquel Flores; Hanwool Lee; Jinwoo Kim; SangHyun Lee; Youngjib Ham; Chanam Lee; Theodora Chaspari (ICMI, 2024)

Massive-Scale construction dataset synthesis through Stable Diffusion for Machine learning training. - Sungkook Hong; Byungjoo Choi; Youngjib Ham; Jungho Jeon; Hyunsoo Kim (Adv. Eng. Informatics, 2024)