Kaijian Liu
Assistant Professor
Charles V. Schaefer, Jr. School of Engineering and Science
Department of Civil, Environmental and Ocean Engineering
Education
- Ph.D. (2019) University of Illinois at Urbana-Champaign (Civil Engineering)
- M.S. (2014) University of Illinois at Urbana-Champaign (Civil Engineering)
- B.A. (2012) Tongji University (Construction Engineering and Management)
Research
Resilient and sustainable buildings and civil infrastructure systems
Cyber-physical systems and human-cyber-physical systems
Artificial Intelligence (AI), Agentic AI, and Physical AI
Natural language processing and computer vision
Ontology and semantic modeling
Cyber-physical systems and human-cyber-physical systems
Artificial Intelligence (AI), Agentic AI, and Physical AI
Natural language processing and computer vision
Ontology and semantic modeling
General Information
Kaijian Liu joined Stevens on October 1, 2019 as an Assistant Professor of the Department of Civil, Environmental, and Ocean Engineering. He holds a Ph.D. in Civil Engineering, with a concentration in Computational Engineering and Science, from the University of Illinois at Urbana-Champaign. Dr. Liu's research interests lie in the fields of sensing, artificial intelligence (AI), and cyber-physical systems (CPS) for sustainable and resilient built environment. His research has been funded by the National Science Foundation (NSF), United States Geological Survey (USGS), National Oceanic and Atmospheric Administration (NOAA), U.S. Army, among other funding agencies. Actively involved in professional service, Dr. Liu has served as the Young Member of the Executive Committee of the ASCE’s Computing Division, and currently serves as the Secretary the Data Sensing And Analysis Committee of ASCE’s Computing Division. He also currently serves as an Associate Editor for the ASCE Journal of Computing in Civil Engineering.
Experience
Assistant Professor, Stevens Institute of Technology, Department of Civil, Environmental, and Ocean Engineering , October 2019 – present.
Research Assistant, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, 2014 – 2019.
Teaching Assistant, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, 2014 – 2019.
Research Assistant, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, 2014 – 2019.
Teaching Assistant, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, 2014 – 2019.
Honors and Awards
Faculty Early Career Development (CAREER) Award, National Science Foundation (NSF), 2026
Best Paper Award (Runner-Up), International Conference on Industrialized Construction (IConIC), 2026
ASCE Outstanding Reviewer, Journal of Computing in Civil Engineering, ASCE, 2025
ASCE Outstanding Reviewer, Journal of Computing in Civil Engineering, ASCE, 2023
Computational Science and Engineering (CSE) Fellowship Award, University of Illinois at Urbana-Champaign, 2017
Best Paper Award (Runner-Up), International Conference on Industrialized Construction (IConIC), 2026
ASCE Outstanding Reviewer, Journal of Computing in Civil Engineering, ASCE, 2025
ASCE Outstanding Reviewer, Journal of Computing in Civil Engineering, ASCE, 2023
Computational Science and Engineering (CSE) Fellowship Award, University of Illinois at Urbana-Champaign, 2017
Professional Societies
- Executive Committee, Computing Division, ASCE, October 2021 – October 2023; Member
- Data Sensing and Analysis (DSA) Committee, Computing Division, ASCE, September 2021 – present; Member
- Education Committee, Computing Division, ASCE, September 2021 – present; Member
- Visualization, Information Modeling and Simulation (VIMS) Committee, Computing Division, ASCE, September 2021 – present; Member
- American Society of Civil Engineers (ASCE), 2019 – present; Member
Selected Publications
SELECTED ARTICLES IN JOURNALS
Huang, K., and Liu, K. (2026). “Integrated Deep Learning for Daily Activity Recognition from Nonintrusive Multimodal Sensing in Residential Environments.” Journal of Computing in Civil Engineering (ASCE), in press (10.1061/JCCEE5/CPENG-8163).
Vahidi, M., Xu, J., Shi, Y., and Liu, K. (2026). “Domain Knowledge-Infused Prompting for Deep and Full-Sentence Information Extraction from Bridge Inspection Reports.” Journal of Computing in Civil Engineering (ASCE), in press (10.1061/JCCEE5/CPENG-8086).
Huang, K., Ye, Y., and Liu, K. (2026). “AI Agent-Enhanced Energy-Use Behavior Detection in Residential Buildings.” Building and Environment (Elsevier), 305(2026): 115150.
Liu, Y., and Liu, K. (2026). “Contrastive Candidate-Proposal Graph Neural Network (CCP-GNN) for Automated Full-Network State Estimation in Civil Infrastructure Systems.” Computer-Aided Civil and Infrastructure Engineering (Elsevier), 50(2026): 100105.
Zhang, L. and Liu, K. (2026). “Context-Aware Long-Range Transportation Flow Prediction for Supporting Urban Mobility Informatics.” Access (IEEE), 14(2026), 118660-118683.
Xiong, R., Wang, Y., Cai, J., Liu, K., Zhu, Y., Tang, P., El-Gohary, N. (2026). “OpenConstruction: A Systematic Synthesis of Open Visual Datasets for Data-Centric Artificial Intelligence in Construction Monitoring.” Journal of Computing in Civil Engineering (ASCE), 40(5), 03126002.
Huang, K., and Liu, K. (2026). “Recognizing Activities of Daily Living for Activity-Centric Energy Efficiency in Residential Buildings: A Human Sensing and Deep Learning Approach.” Access (IEEE), 14(2026), 40093-40113.
Xiong, R., Wang, Y., Cai, J., Liu, K., Zhu, Y., Tang, P., El-Gohary, N., Gibson, E. (2026). “Toward Open Science in the AEC Community: An Ecosystem for Sustainable Digital Knowledge Sharing and Reuse.” Developments in the Built Environment (Elsevier), 26(2026): 100909.
Henein, M., Ayaad, M., Liu, K., and Temimi, M. (2026). “Diffusion-Leveraged GAN Dehazing Driven by Classification: A Two-Stage Framework for Real-World Monitoring Imagery.” Machine Vision and Applications (Springer Nature), 37, 27(2026).
Huang, K., and Liu, K. (2025). “Nonintrusive Integrated Sensing and Noise-Aware Contrastive Learning for Advanced Building Occupancy Analysis.” Journal of Computing in Civil Engineering (ASCE), 40(1), 04025111.
Zhang, L. and Liu, K. (2025). “Modeling and Inferring Purposes of Public Transportation Trips for Human Need-Responsive Urban Mobility Efficiency.” Access (IEEE), 13(2025), 124413-124428.
Saeed, T. and Liu, K. (2025). “Underwater Vision-Enhanced Image Segmentation for Supporting Automated Inspection of Underwater Bridge Components.” Automation in Construction (Elsevier), 175, p.106230.
Zhang, L. and Liu, K. (2024). “Unsupervised Origin-Destination Flow Estimation for Analyzing COVID-19 Impact on Public Transport Mobility.” Cities (Elsevier), 151, p.105086.
Guo, P., Mahjoubi, S., Liu, K., Meng, W. and Bao, Y. (2023). “Self-Updatable AI-Assisted Design of Low-Carbon Cost-Effective Ultra-High-Performance Concrete (UHPC).” Case Studies in Construction Materials (Elsevier), 19, p.e02625.
Hu, X., and Liu, K. (2022). “Structural Deterioration Knowledge Ontology Towards Physics-Informed Machine Learning for Enhanced Bridge Deterioration Prediction.” Journal of Computing in Civil Engineering (ASCE), 37(1), p.04022051; Invited.
Wang, Y., Tang, P., Liu, K., Cai, J., Ren, R., Lin, J., Cai, H., Zhang, J., El-Gohary, N., Berges, M., and Golparvar-Fard, M. (2022). “Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies.” Journal of Computing in Civil Engineering (ASCE), 37(2), p.04023001; Invited.
Liu, K., and El-Gohary, N. (2022). “Deep Learning-Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction.” Journal of Computing in Civil Engineering (ASCE), 36(5), p.04022023.
Liu, K., and El-Gohary, N. (2022). “Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics.” Journal of Construction Engineering and Management (ASCE), 148(6), p.04022030.
Liu, K., and El-Gohary, N. (2022). “Improved Similarity Assessment and Spectral Clustering for Unsupervised Linking of Data Extracted from Bridge Inspection Reports.” Advanced Engineering Informatics (Elsevier), 51, 101496.
Liu, K., and El-Gohary, N. (2021). “Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports.” Journal of Computing in Civil Engineering (ASCE), 35(4), p.04021007.
Liu, K., and El-Gohary, N. (2020). “Fusing Data Extracted from Bridge Inspection Reports for Enhanced Data-Driven Bridge Deterioration Prediction: A Hybrid Data Fusion Method.” Journal of Computing in Civil Engineering (ASCE), 34(6), p.04020047; Invited.
Liu, K., and El-Gohary, N. (2017). “Ontology-Based Semi-Supervised Conditional Random Fields for Automated Information Extraction from Bridge Inspection Reports.” Automation in Construction (Elsevier), 81, 313-327.
Liu, K., and Golparvar-Fard, M. (2015). “Crowdsourcing Construction Activity Analysis from Jobsite Video Streams.” Journal of Construction Engineering and Management (ASCE), 141(11), p.04015035.
SELECTED ARTICLES IN CONFERENCE PROCEEDINGS
Talamkhani, S., and Liu, K. (2026). “Structured Pruning-Based Efficiency Optimization of Deep Vision Models for Automated Infrastructure Inspection.” Proceedings of the 2026 International Conference on Industrialized Construction (IConIC), in press.
Huang, K., and Liu, K. (2026). “Detecting Energy-Use Behaviors in Buildings Using Nonintrusive Sensing and Deep Learning.” Proceedings of the 2026 Construction Research Congress (CRC), in press.
Liu, Y., and Liu, K. (2025). “A Data-Driven Approach for Spatial-Temporal Analysis of Travel-Related Activity Changes During Disasters.” Proceedings of the 2025 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 273-281.
Talamkhani, S., Shi, Y., and Liu, K. (2025). “An Ontology Approach to Context-Aware Robotics for Automated Underwater Bridge Maintenance.” Proceedings of the 2025 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 679-688.
Talamkhani, S., and Liu, K. (2024). “Integrating Image Enhancement, Classification, and Segmentation for Supporting Automated Underwater Infrastructure Inspection and Maintenance.” Proceedings of the 2024 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 229-238.
Liu, K., Xu, R., and Mohsen, A. (2024). “Adaptive Sensing Reconfiguration for Cost-Effective Multi-Damage Monitoring of Civil Infrastructure.” Proceedings of the 2024 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 424-433.
Huang, K. and Liu, K. (2024). “Recognizing Daily Human Activities Using Nonintrusive Sensing and Analytics for Supporting Human-Centered Built Environments.” Proceedings of the 2024 ASCE Construction Research Congress (CRC), p. 397-405.
Zhang, L., and Liu, K. (2023). “Machine Learning-Based Ranking of Factors Influencing Human Movement Purposes for Supporting Human-Infrastructure Interaction Modeling.” Proceedings of the 2023 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 116-124.
Liu, Y., and Liu, K. (2023). “Human-Sensitive Quantification of City-Scale Human Activity Changes During Natural Disasters.” Proceedings of the 2023 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 27-35.
Liu, Y., and Liu, K. (2023). “Graph Theory-Based Characterization of Disaster-Induced Flow Redistributions in Civil Infrastructure Systems.” Proceedings of the 2023 ASCE Infrastructure Innovation and Adaptation for a Sustainable and Resilient World (INSPIRE), p. 724-732.
Huang, S., Dastpak, P., Esmaeilpour, M., Liu, K. and Sousa, R.L. (2023). “Comparison Between Machine Learning Algorithms for TBM Advance Rate Prediction.” Proceedings of 2023 World Tunnel Congress (WTC), p. 2710-2716.
Zhang, L., and Liu, K. (2022). “Semantic Modeling for Supporting Planning Decision Making Towards Smart Cities.” Proceedings of the 2021 ASCE Construction Research Congress (CRC), p. 272-280.
Wei, Y., and Liu, K. (2022). “Evaluating the Performance of Deep Learning in Segmenting Google Street View Imagery for Transportation Infrastructure Condition Assessment.” Proceedings of the 29th International Workshop on Intelligent Computing in Engineering (EG-ICE), p. 376-385.
Huang, K., and Liu, K. (2022). “Nonintrusive Behavioral Sensing and Analytics for Supporting Human-Centered Building Energy Efficiency.” Proceedings of the 29th International Workshop on Intelligent Computing in Engineering (EG-ICE), p. 280-289.
Wang, Y., Tang, P., Liu, K., Cai, J., Ren, R., Lin, J., Cai, H., Zhang, J., El-Gohary, N., Berges, M., and Golparvar-Fard, M. (2021). “Characterizing Perceived Data Sharing Barriers and Promotion Strategies in Civil Engineering.” Proceedings of the 2021 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 42-49.
Hu, X., and Liu, K. (2021). “Structural Deterioration Knowledge Ontology for Supporting Adaptive Intelligence-Based Bridge Deterioration Prediction.” Proceedings of the 2021 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 713-720.
Liu, K., and El-Gohary, N. (2020). “A Smart Bridge Data Analytics Framework for Enhanced Bridge Deterioration Prediction.” Proceedings of the 2020 ASCE Construction Research Congress (CRC), p. 1194-1202.
Liu, K., and El-Gohary, N. (2019). “A Hybrid Information Fusion Method for Fusing Data Extracted from Inspection Reports for Supporting Bridge Data Analytics.” Proceedings of the 2019 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 105-112.
Liu, K., and El-Gohary, N. (2018). “Unsupervised Named Entity Normalization for Supporting Information Fusion for Big Bridge Data Analytics.” Proceedings of the 25th International Workshop on Intelligent Computing in Engineering (EG-ICE), p. 130-149.
Liu, K., and El-Gohary, N. (2018). “Learning from Class-Imbalanced Bridge and Weather Data for Supporting Bridge Deterioration Prediction.” Proceedings of the 35th CIB W78 2018 International Conference (CIB), p. 749-756.
Liu, K., and El-Gohary, N. (2018). “Feature Discretization and Selection Methods for Supporting Bridge Deterioration Prediction.” Proceedings of the 2018 ASCE Construction Research Congress (CRC), p. 413-423.
Liu, K., and El-Gohary, N. (2017). “Similarity-Based Dependency Parsing for Extracting Dependency Relations from Bridge Inspection Reports.” Proceedings of the 2017 ASCE International Workshop on Computing in Civil Engineering (IWCCE), p. 316-323.
Liu, K., and El-Gohary, N. (2017). “Ontology-Based Data Integration for Supporting Big Bridge Data Analytics.” Proceedings of the 2017 CSCE Annual Conference (CSCE), p. 1089-1098.
Liu, K., and El-Gohary, N. (2016). “Semantic Modeling of Bridge Deterioration Knowledge for Supporting Big Bridge Data Analytics.” Proceedings of the 2016 ASCE Construction Research Congress (CRC), p. 930-939.
Liu, K., and El-Gohary, N. (2016). “Ontology-Based Sequence Labelling for Automated Information Extraction for Supporting Bridge Data Analytics.” Proceedings of the 2016 International Conference on Sustainable Design, Engineering and Construction (ICSDEC), p. 504-510.
Liu, K., and Golparvar-Fard, M. (2015). “Crowdsourcing Video-Based Workface Assessment for Construction Activity Analysis.” Proceedings of the 2015 International Symposium on Automation and Robotics in Construction (ISARC), p. 1-8.
Huang, K., and Liu, K. (2026). “Integrated Deep Learning for Daily Activity Recognition from Nonintrusive Multimodal Sensing in Residential Environments.” Journal of Computing in Civil Engineering (ASCE), in press (10.1061/JCCEE5/CPENG-8163).
Vahidi, M., Xu, J., Shi, Y., and Liu, K. (2026). “Domain Knowledge-Infused Prompting for Deep and Full-Sentence Information Extraction from Bridge Inspection Reports.” Journal of Computing in Civil Engineering (ASCE), in press (10.1061/JCCEE5/CPENG-8086).
Huang, K., Ye, Y., and Liu, K. (2026). “AI Agent-Enhanced Energy-Use Behavior Detection in Residential Buildings.” Building and Environment (Elsevier), 305(2026): 115150.
Liu, Y., and Liu, K. (2026). “Contrastive Candidate-Proposal Graph Neural Network (CCP-GNN) for Automated Full-Network State Estimation in Civil Infrastructure Systems.” Computer-Aided Civil and Infrastructure Engineering (Elsevier), 50(2026): 100105.
Zhang, L. and Liu, K. (2026). “Context-Aware Long-Range Transportation Flow Prediction for Supporting Urban Mobility Informatics.” Access (IEEE), 14(2026), 118660-118683.
Xiong, R., Wang, Y., Cai, J., Liu, K., Zhu, Y., Tang, P., El-Gohary, N. (2026). “OpenConstruction: A Systematic Synthesis of Open Visual Datasets for Data-Centric Artificial Intelligence in Construction Monitoring.” Journal of Computing in Civil Engineering (ASCE), 40(5), 03126002.
Huang, K., and Liu, K. (2026). “Recognizing Activities of Daily Living for Activity-Centric Energy Efficiency in Residential Buildings: A Human Sensing and Deep Learning Approach.” Access (IEEE), 14(2026), 40093-40113.
Xiong, R., Wang, Y., Cai, J., Liu, K., Zhu, Y., Tang, P., El-Gohary, N., Gibson, E. (2026). “Toward Open Science in the AEC Community: An Ecosystem for Sustainable Digital Knowledge Sharing and Reuse.” Developments in the Built Environment (Elsevier), 26(2026): 100909.
Henein, M., Ayaad, M., Liu, K., and Temimi, M. (2026). “Diffusion-Leveraged GAN Dehazing Driven by Classification: A Two-Stage Framework for Real-World Monitoring Imagery.” Machine Vision and Applications (Springer Nature), 37, 27(2026).
Huang, K., and Liu, K. (2025). “Nonintrusive Integrated Sensing and Noise-Aware Contrastive Learning for Advanced Building Occupancy Analysis.” Journal of Computing in Civil Engineering (ASCE), 40(1), 04025111.
Zhang, L. and Liu, K. (2025). “Modeling and Inferring Purposes of Public Transportation Trips for Human Need-Responsive Urban Mobility Efficiency.” Access (IEEE), 13(2025), 124413-124428.
Saeed, T. and Liu, K. (2025). “Underwater Vision-Enhanced Image Segmentation for Supporting Automated Inspection of Underwater Bridge Components.” Automation in Construction (Elsevier), 175, p.106230.
Zhang, L. and Liu, K. (2024). “Unsupervised Origin-Destination Flow Estimation for Analyzing COVID-19 Impact on Public Transport Mobility.” Cities (Elsevier), 151, p.105086.
Guo, P., Mahjoubi, S., Liu, K., Meng, W. and Bao, Y. (2023). “Self-Updatable AI-Assisted Design of Low-Carbon Cost-Effective Ultra-High-Performance Concrete (UHPC).” Case Studies in Construction Materials (Elsevier), 19, p.e02625.
Hu, X., and Liu, K. (2022). “Structural Deterioration Knowledge Ontology Towards Physics-Informed Machine Learning for Enhanced Bridge Deterioration Prediction.” Journal of Computing in Civil Engineering (ASCE), 37(1), p.04022051; Invited.
Wang, Y., Tang, P., Liu, K., Cai, J., Ren, R., Lin, J., Cai, H., Zhang, J., El-Gohary, N., Berges, M., and Golparvar-Fard, M. (2022). “Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies.” Journal of Computing in Civil Engineering (ASCE), 37(2), p.04023001; Invited.
Liu, K., and El-Gohary, N. (2022). “Deep Learning-Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction.” Journal of Computing in Civil Engineering (ASCE), 36(5), p.04022023.
Liu, K., and El-Gohary, N. (2022). “Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics.” Journal of Construction Engineering and Management (ASCE), 148(6), p.04022030.
Liu, K., and El-Gohary, N. (2022). “Improved Similarity Assessment and Spectral Clustering for Unsupervised Linking of Data Extracted from Bridge Inspection Reports.” Advanced Engineering Informatics (Elsevier), 51, 101496.
Liu, K., and El-Gohary, N. (2021). “Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports.” Journal of Computing in Civil Engineering (ASCE), 35(4), p.04021007.
Liu, K., and El-Gohary, N. (2020). “Fusing Data Extracted from Bridge Inspection Reports for Enhanced Data-Driven Bridge Deterioration Prediction: A Hybrid Data Fusion Method.” Journal of Computing in Civil Engineering (ASCE), 34(6), p.04020047; Invited.
Liu, K., and El-Gohary, N. (2017). “Ontology-Based Semi-Supervised Conditional Random Fields for Automated Information Extraction from Bridge Inspection Reports.” Automation in Construction (Elsevier), 81, 313-327.
Liu, K., and Golparvar-Fard, M. (2015). “Crowdsourcing Construction Activity Analysis from Jobsite Video Streams.” Journal of Construction Engineering and Management (ASCE), 141(11), p.04015035.
SELECTED ARTICLES IN CONFERENCE PROCEEDINGS
Talamkhani, S., and Liu, K. (2026). “Structured Pruning-Based Efficiency Optimization of Deep Vision Models for Automated Infrastructure Inspection.” Proceedings of the 2026 International Conference on Industrialized Construction (IConIC), in press.
Huang, K., and Liu, K. (2026). “Detecting Energy-Use Behaviors in Buildings Using Nonintrusive Sensing and Deep Learning.” Proceedings of the 2026 Construction Research Congress (CRC), in press.
Liu, Y., and Liu, K. (2025). “A Data-Driven Approach for Spatial-Temporal Analysis of Travel-Related Activity Changes During Disasters.” Proceedings of the 2025 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 273-281.
Talamkhani, S., Shi, Y., and Liu, K. (2025). “An Ontology Approach to Context-Aware Robotics for Automated Underwater Bridge Maintenance.” Proceedings of the 2025 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 679-688.
Talamkhani, S., and Liu, K. (2024). “Integrating Image Enhancement, Classification, and Segmentation for Supporting Automated Underwater Infrastructure Inspection and Maintenance.” Proceedings of the 2024 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 229-238.
Liu, K., Xu, R., and Mohsen, A. (2024). “Adaptive Sensing Reconfiguration for Cost-Effective Multi-Damage Monitoring of Civil Infrastructure.” Proceedings of the 2024 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 424-433.
Huang, K. and Liu, K. (2024). “Recognizing Daily Human Activities Using Nonintrusive Sensing and Analytics for Supporting Human-Centered Built Environments.” Proceedings of the 2024 ASCE Construction Research Congress (CRC), p. 397-405.
Zhang, L., and Liu, K. (2023). “Machine Learning-Based Ranking of Factors Influencing Human Movement Purposes for Supporting Human-Infrastructure Interaction Modeling.” Proceedings of the 2023 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 116-124.
Liu, Y., and Liu, K. (2023). “Human-Sensitive Quantification of City-Scale Human Activity Changes During Natural Disasters.” Proceedings of the 2023 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 27-35.
Liu, Y., and Liu, K. (2023). “Graph Theory-Based Characterization of Disaster-Induced Flow Redistributions in Civil Infrastructure Systems.” Proceedings of the 2023 ASCE Infrastructure Innovation and Adaptation for a Sustainable and Resilient World (INSPIRE), p. 724-732.
Huang, S., Dastpak, P., Esmaeilpour, M., Liu, K. and Sousa, R.L. (2023). “Comparison Between Machine Learning Algorithms for TBM Advance Rate Prediction.” Proceedings of 2023 World Tunnel Congress (WTC), p. 2710-2716.
Zhang, L., and Liu, K. (2022). “Semantic Modeling for Supporting Planning Decision Making Towards Smart Cities.” Proceedings of the 2021 ASCE Construction Research Congress (CRC), p. 272-280.
Wei, Y., and Liu, K. (2022). “Evaluating the Performance of Deep Learning in Segmenting Google Street View Imagery for Transportation Infrastructure Condition Assessment.” Proceedings of the 29th International Workshop on Intelligent Computing in Engineering (EG-ICE), p. 376-385.
Huang, K., and Liu, K. (2022). “Nonintrusive Behavioral Sensing and Analytics for Supporting Human-Centered Building Energy Efficiency.” Proceedings of the 29th International Workshop on Intelligent Computing in Engineering (EG-ICE), p. 280-289.
Wang, Y., Tang, P., Liu, K., Cai, J., Ren, R., Lin, J., Cai, H., Zhang, J., El-Gohary, N., Berges, M., and Golparvar-Fard, M. (2021). “Characterizing Perceived Data Sharing Barriers and Promotion Strategies in Civil Engineering.” Proceedings of the 2021 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 42-49.
Hu, X., and Liu, K. (2021). “Structural Deterioration Knowledge Ontology for Supporting Adaptive Intelligence-Based Bridge Deterioration Prediction.” Proceedings of the 2021 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 713-720.
Liu, K., and El-Gohary, N. (2020). “A Smart Bridge Data Analytics Framework for Enhanced Bridge Deterioration Prediction.” Proceedings of the 2020 ASCE Construction Research Congress (CRC), p. 1194-1202.
Liu, K., and El-Gohary, N. (2019). “A Hybrid Information Fusion Method for Fusing Data Extracted from Inspection Reports for Supporting Bridge Data Analytics.” Proceedings of the 2019 ASCE International Conference on Computing in Civil Engineering (i3CE), p. 105-112.
Liu, K., and El-Gohary, N. (2018). “Unsupervised Named Entity Normalization for Supporting Information Fusion for Big Bridge Data Analytics.” Proceedings of the 25th International Workshop on Intelligent Computing in Engineering (EG-ICE), p. 130-149.
Liu, K., and El-Gohary, N. (2018). “Learning from Class-Imbalanced Bridge and Weather Data for Supporting Bridge Deterioration Prediction.” Proceedings of the 35th CIB W78 2018 International Conference (CIB), p. 749-756.
Liu, K., and El-Gohary, N. (2018). “Feature Discretization and Selection Methods for Supporting Bridge Deterioration Prediction.” Proceedings of the 2018 ASCE Construction Research Congress (CRC), p. 413-423.
Liu, K., and El-Gohary, N. (2017). “Similarity-Based Dependency Parsing for Extracting Dependency Relations from Bridge Inspection Reports.” Proceedings of the 2017 ASCE International Workshop on Computing in Civil Engineering (IWCCE), p. 316-323.
Liu, K., and El-Gohary, N. (2017). “Ontology-Based Data Integration for Supporting Big Bridge Data Analytics.” Proceedings of the 2017 CSCE Annual Conference (CSCE), p. 1089-1098.
Liu, K., and El-Gohary, N. (2016). “Semantic Modeling of Bridge Deterioration Knowledge for Supporting Big Bridge Data Analytics.” Proceedings of the 2016 ASCE Construction Research Congress (CRC), p. 930-939.
Liu, K., and El-Gohary, N. (2016). “Ontology-Based Sequence Labelling for Automated Information Extraction for Supporting Bridge Data Analytics.” Proceedings of the 2016 International Conference on Sustainable Design, Engineering and Construction (ICSDEC), p. 504-510.
Liu, K., and Golparvar-Fard, M. (2015). “Crowdsourcing Video-Based Workface Assessment for Construction Activity Analysis.” Proceedings of the 2015 International Symposium on Automation and Robotics in Construction (ISARC), p. 1-8.
Courses
CE 365 Numerical Modeling in Civil and Environmental Engineering
CM 506 Building Information Modeling and Digital Twins (formerly, Computer Applications in the Construction Process)
CE 546 Machine Learning and Analytics in Civil Engineering Applications
CM 581 Temporary Construction in Heavy Construction
CM 701 Practicum in Construction Management
CM 810 Machine Learning and Data Analytics in Construction
CM 506 Building Information Modeling and Digital Twins (formerly, Computer Applications in the Construction Process)
CE 546 Machine Learning and Analytics in Civil Engineering Applications
CM 581 Temporary Construction in Heavy Construction
CM 701 Practicum in Construction Management
CM 810 Machine Learning and Data Analytics in Construction