HR job title
- Associate Professor
- Contact Info
- Websites
Ham, Youngjib Associate Professor
Positions
- Associate Professor, Construction Science, School of Architecture
- Overview
- Publications
- Research
- Teaching
- Background
- Contact
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Overview
Publications
selected publications
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academic article
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Hong, S., Ham, Y., Chun, J., & Kim, H.
(2023).
Productivity Measurement through IMU-Based Detailed Activity Recognition Using Machine Learning: A Case Study of Masonry Work. Sensors.
23(17), 7635-7635.
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Liu, D. i., Shahid, Z., Tung, Y., Muliana, A., Ham, Y., Kalantar, N., ... Hubbard, J. E.
(2023).
Tunable Acoustic Properties in Reconfigurable Kerf Structures. Journal of Architectural Engineering.
29(3),
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Hong, S., Yoon, J., Ham, Y., Lee, B., & Kim, H.
(2023).
Monitoring safety behaviors of scaffolding workers using Gramian angular field convolution neural network based on IMU sensing data. Automation in Construction.
148, 104748-104748.
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Kim, M., Ham, Y., Koo, C., & Kim, T. W.
(2023).
Simulating travel paths of construction site workers via deep reinforcement learning considering their spatial cognition and wayfinding behavior. Automation in Construction.
147, 104715-104715.
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Lee, S., & Ham, Y.
(2023).
Measuring the Distance between Trees and Power Lines under Wind Loads to Assess the Heightened Potential Risk of Wildfire. Remote Sensing.
15(6), 1485-1485.
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Kamari, M., Kim, J., & Ham, Y.
(2022).
Analyzing Safety Risk Imposed by Jobsite Debris to Nearby Built Environments Using Geometric Digital Twins and Vision-Based Deep Learning. Journal of Computing in Civil Engineering.
36(6), 04022033.
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Kim, J., Ham, Y., & Park, H.
(2022).
Underground Metal Pipeline Localization Using Low-Cost Wireless Magnetic Sensors Mounted on an Excavator. IEEE transactions on industrial electronics (1982. Print).
69(10), 10674-10683.
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Kim, J., Nirjhar, E. H., Kim, J., Chaspari, T., Ham, Y., Winslow, J. F., Lee, C., & Ahn, C. R.
(2022).
Capturing Environmental Distress of Pedestrians Using Multimodal Data: The Interplay of Biosignals and Image-Based Data. Journal of Computing in Civil Engineering.
36(2), 04021039.
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Lee, J. S., Ham, Y., Park, H., & Kim, J.
(2022).
Challenges, tasks, and opportunities in teleoperation of excavator toward human-in-the-loop construction automation. 135, 104119-104119.
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Kamari, M., & Ham, Y.
(2022).
AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning. Automation in Construction.
134, 104091-104091.
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Kim, J., Kamari, M., Lee, S., & Ham, Y.
(2021).
Large-Scale Visual Data-Driven Probabilistic Risk Assessment of Utility Poles Regarding the Vulnerability of Power Distribution Infrastructure Systems. 147(10), 04021121.
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Lee, J., Ham, Y., & Yi, J.
(2021).
Construction Disputes and Associated Contractual Knowledge Discovery Using Unstructured Text-Heavy Data: Legal Cases in the United Kingdom. Sustainability.
13(16), 9403-9403.
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Lee, J., & Ham, Y.
(2021).
Physiological sensing-driven personal thermal comfort modelling in consideration of human activity variations. 49(5), 512-524.
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Lee, S., & Ham, Y.
(2021).
Probabilistic framework for assessing the vulnerability of power distribution infrastructures under extreme wind conditions. Sustainable Cities and Society.
65, 102587-102587.
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Kim, H., & Ham, Y.
(2021).
Increasing Reliability of Participatory Sensing for Utility Pole Condition Assessment Using Fuzzy Inference. Journal of construction engineering and management.
147(1),
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Zanwar, P., Kim, J., Kim, J., Manser, M., Ham, Y., Chaspari, T., & Ahn, C. R.
(2021).
Use of Connected Technologies to Assess Barriers and Stressors for Age and Disability-Friendly Communities. Frontiers in Public Health.
9, 578832.
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Kamari, M., & Ham, Y.
(2021).
Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites. Automation in Construction.
121, 103430-103430.
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Lee, S., Park, M., Lee, H., & Ham, Y.
(2020).
Impact of Demand-Side Response on Community Resilience: Focusing on a Power Grid after Seismic Hazards. 36(6),
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Lee, J., Ham, Y., Yi, J., & Son, J.
(2020).
Effective Risk Positioning through Automated Identification of Missing Contract Conditions from the Contractor's Perspective Based on FIDIC Contract Cases. 36(3),
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Ham, Y., & Kim, J.
(2020).
Participatory Sensing and Digital Twin City: Updating Virtual City Models for Enhanced Risk-Informed Decision-Making. Journal of Management in Engineering.
36(3), 04020005.
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Kim, H., & Ham, Y.
(2019).
Participatory sensing-based geospatial localization of distant objects for disaster preparedness in urban built environments. Automation in Construction.
107, 102960-102960.
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Ham, Y., & Kamari, M.
(2019).
Automated content-based filtering for enhanced vision-based documentation in construction toward exploiting big visual data from drones. Automation in Construction.
105, 102831-102831.
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Yoon, H., Han, K., & Ham, Y.
(2019).
A Framework of Human-Motion Based Structural Dynamics Simulation Using Mobile Devices. Sensors.
19(15), 3258-3258.
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Kim, H., Ham, Y., Kim, W., Park, S., & Kim, H.
(2019).
Vision-based nonintrusive context documentation for earthmoving productivity simulation. Automation in Construction.
102, 135-147.
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Jeon, J., Lee, J., & Ham, Y.
(2019).
Quantifying the impact of building envelope condition on energy use. 47(4), 404-420.
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Kim, J., Ham, Y., Chung, Y., & Chi, S.
(2019).
Systematic Camera Placement Framework for Operation-Level Visual Monitoring on Construction Jobsites. 145(4), 04019019.
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Yoo, W., Ozer, H., & Ham, Y.
(2019).
System-Level Approach for Identifying Main Uncertainty Sources in Pavement Construction Life-Cycle Assessment for Quantifying Environmental Impacts. Journal of construction engineering and management.
145(2), 04018137.
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Ramachandra, B., Nawathe, P., Monroe, J., Han, K., Ham, Y., & Vatsavai, R. R.
(2018).
Real-Time Energy Audit of Built Environments: Simultaneous Localization and Thermal Mapping. Journal of Infrastructure Systems.
24(3), 04018013.
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Kim, H., Bang, S., Jeong, H., Ham, Y., & Kim, H.
(2018).
Analyzing context and productivity of tunnel earthmoving processes using imaging and simulation. Automation in Construction.
92, 188-198.
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Ham, Y., & Yoon, H.
(2018).
Motion and Visual Data-Driven Distant Object Localization for Field Reporting. 32(4), 04018020.
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Balali, V., Yaseri, K., & Ham, Y.
(2017).
Algorithmic development of life-cycle assessment: Application of urban water infrastructure systems in Iran. 21(5), 1979-1990.
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Ham, Y., Han, K. K., Lin, J. J., & Golparvar-Fard, M.
(2016).
Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works. 4(1), 1.
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Choi, H., Ham, Y., & Popovics, J. S.
(2016).
Integrated visualization for reinforced concrete using ultrasonic tomography and image-based 3-D reconstruction. Construction and Building Materials.
123, 384-393.
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Yoon, H., Ham, Y., GolparvarFard, M., & Spencer, B. F.
(2016).
ForwardBackward Approach for 3D Event Localization Using Commodity Smartphones for Ubiquitous ContextAware Applications in Civil and Infrastructure Engineering. 31(4), 245-260.
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Cho, Y. K., Ham, Y., & Golpavar-Fard, M.
(2015).
3D as-is building energy modeling and diagnostics: A review of the state-of-the-art. Advanced Engineering Informatics: the science of supporting knowledge-intensive activities.
29(2), 184-195.
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Ham, Y., & Golparvar-Fard, M.
(2015).
Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling. Automation in Construction.
49, 214-224.
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Ham, Y., & Golparvar-Fard, M.
(2014).
3D Visualization of thermal resistance and condensation problems using infrared thermography for building energy diagnostics. Visualization in Engineering.
2(1), 12.
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Golparvar-Fard, M., & Ham, Y.
(2014).
Automated Diagnostics and Visualization of Potential Energy Performance Problems in Existing Buildings Using Energy Performance Augmented Reality Models. Journal of Computing in Civil Engineering.
28(1), 17-29.
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Ham, Y., & Golparvar-Fard, M.
(2013).
An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery. Advanced Engineering Informatics: the science of supporting knowledge-intensive activities.
27(3), 395-409.
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Ham, Y., & Golparvar-Fard, M.
(2013).
EPAR: Energy Performance Augmented Reality models for identification of building energy performance deviations between actual measurements and simulation results. Energy and Buildings.
63, 15-28.
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Park, M., Ingawale-Verma, Y., Kim, W., & Ham, Y.
(2011).
Construction policymaking: With an example of singaporean governments policy to diffuse prefabrication to private sector. KSCE Journal of Civil Engineering.
15(5), 771-779.
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Cai, Z., Newman, G., Lee, J., Ye, X., Retcheless, D., Zou, L., & Ham, Y.
Simulating the Spatial Impacts of a Coastal Barrier in Galveston Island, Texas: A Three-Dimensional Urban Modeling Approach
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Hong, S., Ham, Y., Chun, J., & Kim, H.
(2023).
Productivity Measurement through IMU-Based Detailed Activity Recognition Using Machine Learning: A Case Study of Masonry Work. Sensors.
23(17), 7635-7635.
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conference paper
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Kumar, A. S., Han, K., Ham, Y., & Yoon, H.
(2022).
Development of a Student-Centric Cyber-Physical System (SCPS): An Android App for Interactive Learning of Structural Analysis and Dynamics. 334-341.
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Lee, J. S., & Ham, Y.
(2022).
Exploring Human-Machine Interfaces for Teleoperation of Excavator. 757-765.
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Lee, J., & Ham, Y.
(2022).
Intra-Individual Differences in Predicting Personal Thermal Comfort Using Model-Based Recursive Partitioning (MOB). 1212-1219.
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Lee, S., & Ham, Y.
(2022).
Modeling Fire Ignition Probability in the Wildland-Urban Interface: Focusing on Power Infrastructure and Surrounding Environment. 992-999.
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Kim, J., & Ham, Y.
(2022).
Real-Time Participatory Sensing-Driven Computational Framework toward Digital Twin City Modeling. 281-289.
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Kamari, M., & Ham, Y.
(2022).
Semantic Detection of Potential Wind-Borne Debris in Construction Jobsites: Digital Twining for Hurricane Preparedness and Jobsite Safety. 902-909.
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Lee, J., Ham, Y., & Suermann, P.
(2020).
Investigating the Effect of Reflecting Human Activity Information in Physiological Sensing-Driven Occupant Thermal Comfort Modeling. 139-147.
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Kamari, M., & Ham, Y.
(2020).
Analyzing Potential Risk of Wind-Induced Damage in Construction Sites and Neighboring Communities Using Large-Scale Visual Data from Drones. 915-923.
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Kim, H., & Ham, Y.
(2020).
Evaluating Deterioration Levels of Utility Poles Using Participatory Sensing and Fuzzy Inference. 821-827.
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Lee, S., & Ham, Y.
(2020).
Probabilistic Analysis of Structural Reliability of Leaning Poles in Power Distribution Infrastructure Systems under Extreme Wind Loads. 619-626.
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Kim, J., & Ham, Y.
(2020).
Vision-Based Analysis of Utility Poles Using Drones and Digital Twin Modeling in the Context of Power Distribution Infrastructure Systems. 954-963.
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Kim, J., Kim, H., & Ham, Y.
(2019).
Mapping Local Vulnerabilities into a 3D City Model through Social Sensing and the CAVE System toward Digital Twin City. 451-458.
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Kim, H., Ham, Y., & Kim, H.
(2019).
Localizing Local Vulnerabilities in Urban Areas Using Crowdsourced Visual Data from Participatory Sensing. 522-529.
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Kamari, M., & Ham, Y.
(2018).
Automated Filtering Big Visual Data from Drones for Enhanced Visual Analytics in Construction. 398-409.
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Kim, J., Ham, Y., Chung, Y., & Chi, S.
(2018).
Camera placement optimization for vision-based monitoring on construction sites
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Kim, H., Bang, S., Jeong, H., Ham, Y., & Kim, H.
(2018).
Integration of imaging and simulation for earthmoving productivity analysis
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Ham, Y., Lee, S. J., & Chowdhury, A. G.
(2017).
Imaging-to-Simulation Framework for Improving Disaster Preparedness of Construction Projects and Neighboring Communities. 230-237.
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Jeon, J., & Ham, Y.
(2016).
Evaluating the Impact of Reflecting the As-Is Building Condition in the BIM-Based Energy Modeling Process on Building Energy Simulations. 2360-2370.
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Ham, Y., Yoon, H., & Spencer, B. F.
(2016).
Improving Situational Awareness of the As-Is Building Conditions through Multi-Modal Sensing and Analytics Using Thermal Camera-Equipped Smartphones. 898-908.
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Lee, J., & Ham, Y.
(2016).
Impact Analysis on the Variations of the Thermo-physical Property of Building Envelopes and Occupancy in Building Energy Performance Assessment. Procedia Engineering.
556-564.
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Ham, Y., & Golparvar-Fard, M.
(2015).
Three-Dimensional Thermography-Based Method for Cost-Benefit Analysis of Energy Efficiency Building Envelope Retrofits. Journal of Computing in Civil Engineering.
b4014009.
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Ham, Y., & Golparvar-Fard, M.
(2014).
Updating R-Values of BIM Elements using 3D Thermography for Accurate Building Energy Performance Simulation. 113-120.
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Ham, Y., & Golparvar-Fard, M.
(2014).
Evaluating the value of investment in building insulation retrofits based on EPAR-(energy performance augmented reality) models. 2234-2243.
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Ham, Y., & Golparvar-Fard, M.
(2013).
Automated cost analysis of energy loss in existing buildings through thermographic inspections AND CFD analysis. 1065-1073.
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Ham, Y., & Golparvar-Fard, M.
(2013).
Calculating the cost of heating and cooling loss for building diagnostics using EPAR (Energy Performance Augmented Reality Models). 242-249.
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Ham, Y., & Golparvar-Fard, M.
(2012).
Identification of Potential Areas for Building Retrofit Using Thermal Digital Imagery and CFD Models. 642-649.
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Ham, Y., & Golparvar-Fard, M.
(2012).
Rapid 3D Energy Performance Modeling of Existing Buildings Using Thermal and Digital Imagery. 991-1000.
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Kumar, A. S., Han, K., Ham, Y., & Yoon, H.
(2022).
Development of a Student-Centric Cyber-Physical System (SCPS): An Android App for Interactive Learning of Structural Analysis and Dynamics. 334-341.
Research
principal investigator on
- FW-HTF-RM: The Future of Teleoperation in Construction Workplaces awarded by Directorate for Engineering - (Arlington, Virginia, United States) 2021 - 2023
- Collaborative Research: Improving Undergraduate Education in Civil & Building Engineering through Student-centric Cyber-Physical Systems and Real-world Problems awarded by Directorate for Education & Human Resources - (Arlington, Virginia, United States) 2020 - 2023
- I-Corps: Artificial Intelligence-Driven Disaster Risk Prediction and Assessment awarded by Directorate for Engineering - (Arlington, Virginia, United States) 2020 - 2021
- Uncovering Potential Risks of Wind-induced Cascading Damages to Construction Projects and Neighboring Communities awarded by National Science Foundation - (Arlington, Virginia, United States) 2018 - 2020
Teaching
teaching activities
- ARCH685 Directed Studies Instructor
- ARCH691 Research Instructor
- COSC461 Bldg Info Model System Instructor
- COSC650 Adv Const Visualization Instructor
- COSC685 Directed Studies Instructor
- COSC691 Research Instructor
- ENGR491 Hnr-research Instructor
Background
education and training
- Ph.D. in Civil Engineering, University of Illinois at Urbana Champaign - (Urbana, Illinois, United States) 2015
- M.S. in Computer Science, University of Illinois at Urbana Champaign - (Urbana, Illinois, United States) 2014
- M.S. in Architectural Engineering, Seoul National University - (Seoul, South Korea) 2011
- B.S. in Rural Systems Engineering, Seoul National University - (Seoul, South Korea) 2009
Contact
first name
- Youngjib
has last name
- Ham
mailing address
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Texas A&M University
Construction Science
3137 TAMU
College Station, TX 77842
USA
Other
In the News
- Mitigating The Danger Of Excavation News Release
- yham@tamu.edu