Education

Research Description

Dr. Han's research focuses on creating and validating new computer vision and machine learning analytics that leverage emerging and often already existing visual data (images, videos, and point cloud data) and Building Information Modeling (BIM) for effective construction project controls, enhancing site-to-office and office-to-site communications, safety and hazard recognition, and safety training and monitoring. He is particularly interested in new modalities of information and user interaction, including Virtual Reality, Augmented Reality, and Augmented Virtuality. Other areas of interest include robotics for automating management of civil infrastructure systems (subtopics to include autonomous navigation for data collection and analytics) and project-based learning for STEM education.

Publications

LNSNet: Lightweight Navigable Space Segmentation for Autonomous Robots on Construction Sites

Asadi, K., Chen, P., Han, K., Wu, T., & Lobaton, E. (2019), Data. https://doi.org/10.3390/data4010040

Are Visual Search Patterns Predictive of Hazard Recognition Performance? Empirical Investigation Using Eye-Tracking Technology

Jeelani, I., Albert, A., Han, K., & Azevedo, R. (2019), JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 145(1). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001589

Automating Analysis of Construction Workers' Viewing Patterns for Personalized Safety Training and Management

Jeelani, I., Han, K., & Albert, A. (2018), In Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2018/0131

Automating and scaling personalized safety training using eye-tracking data

Jeelani, I., Han, K., & Albert, A. (2018), Automation in Construction, 93, 63–77. https://doi.org/10.1016/j.autcon.2018.05.006

Building an Integrated Mobile Robotic System for Real-Time Applications in Construction

Asadi, K., Ramshankar, H., Pullagurla, H., Bhandare, A., Shanbhag, S., Mehta, P., … Wu, T. (2018), In Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2018/0063

Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring

Han, K., Degol, J., & Golparvar-Fard, M. (2018), Journal of Construction Engineering and Management, 144(2), 04017110. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001428

Real-Time Energy Audit of Built Environments: Simultaneous Localization and Thermal Mapping

Ramachandra, B., Nawathe, P., Monroe, J., Han, K., Ham, Y., & Vatsavai, R. R. (2018), JOURNAL OF INFRASTRUCTURE SYSTEMS, 24(3). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000431

Vision-based integrated mobile robotic system for real-time applications in construction

Asadi, K., Ramshankar, H., Pullagurla, H., Bhandare, A., Shanbhag, S., Mehta, P., … Wu, T. (2018), Automation in Construction, 96, 470–482. https://doi.org/10.1016/j.autcon.2018.10.009

Crowdsourcing BIM-guided collection of construction material library from site photologs

Han, K., & Golparvar-Fard, M. (2017), Visualization in Engineering. https://doi.org/10.1186/s40327-017-0052-3

Development of immersive personalized training environment for construction workers

Jeelani, I., Han, K., & Albert, A. (2017), In Computing in Civil Engineering 2017: Sensing, Simulation, and Visualization (pp. 407–415). https://doi.org/10.1061/9780784480830.050

View all publications via NC State Libraries

Grants

BIM for VTR: Holistic Approach to Design and Construction

US Dept. of Energy (DOE)(9/17/18 - 9/30/19)

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BIM for VTR: Holistic Approach to Design and Construction

Sponsor: US Dept. of Energy (DOE)

Start Date: 9/17/18

End Date: 9/30/19

Abstract

Huge escalations in overnight construction costs and schedule delays have rendered nuclear energy commercially unattractive. Much of the research and development has focused on developing new reactor designs with accident tolerant fuels and passive safety systems intended to reduce operating and lifecycle costs. There has been little to no investment in research on nuclear construction management. Moreover, Hopf [1] argues that the primary reasons for construction cost escalation and schedule delays are related to: (i) extremely stringent nuclear safety and quality assurance standards, (ii) inexperience in managing and staffing to nuclear QA standards, (iii) excessive paperwork, and (iv) supply chain delays due to rework. To ensure the success of implementation and deployment of a new reactor (i.e., Versatile Test Reactor (VTR)), design, construction, and testing processes should be integrated. Virtual Design and Construction (VDC) using Building Information Modeling (BIM) has been proven to be a solution that bridges gap between design and construction [cite]. Furthermore, it has been used as a project control tool [cite]. BIM as a central hub of digital data exchange can bring different experts (i.e., engineers with different disciplines and contractors who build and manage construction projects) virtually together. All stakeholders have a shared resources of knowledge to help identify and minimize risk during design, construction, and operation and maintenance phases [cite]. This proposal proposes to investigate and help INL better understand the capabilities of BIM that can support the integration of design, construction, and testing of the VTR. Furthermore, the research team will pick one of the analysis (i.e., pipe stress) and develop a software/plug-in that produces 2D/3D models that can be directed imported by the analysis tool.

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