Kaijian Liu (kliu24)

Kaijian Liu

Assistant Professor

Charles V. Schaefer, Jr. School of Engineering and Science

Civil Environmental & Ocean Engineering, Civil, Environmental and Ocean Engineering

Education

  • PhD (2019) University of Illinois at Urbana-Champaign (Civil Engineering)
  • MS (2014) University of Illinois at Urbana-Champaign (Civil Engineering)
  • BA (2012) Tongji University (Construction Engineering and Management)

Research

Resilient and equitable civil infrastructure systems and communities

Machine learning, deep learning, and physics-informed learning

Natural language processing and computer vision

Semantic data/information/knowledge modeling, linking, fusion, and analysis

Appointments

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.

Honors and Awards

Computational Science and Engineering (CSE) Fellowship Award, University of Illinois at Urbana-Champaign, 2017

Professional Societies

  • Executive Committee, Computing Division, ASCE, October 2021 – present; 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

Hu, X, and Liu, K. (2022). “Structural deterioration knowledge ontology towards physics–informed machine learning for enhanced bridge deterioration prediction.” ASCE Journal of Computing in Civil Engineering, in press. (Invited).

Liu, K., and El-Gohary, N. (2022). “Deep learning-based analytics of multisource heterogeneous bridge data for enhanced data-driven bridge deterioration prediction.” ASCE Journal of Computing in Civil Engineering, 36(5), p.04022023.

Liu, K., and El-Gohary, N. (2022). “Bridge deterioration knowledge ontology for supporting bridge document analytics.” ASCE Journal of Construction Engineering and Management, 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.” ASCE Journal of Computing in Civil Engineering, 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.” ASCE Journal of Computing in Civil Engineering, 34(6), p.04020047.

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, 81, 313-327.

Liu, K., and Golparvar-Fard, M. (2015). “Crowdsourcing construction activity analysis from jobsite video streams.” ASCE Journal of Construction Engineering and Management, 141(11), p.04015035.


SELECTED ARTICLES IN CONFERENCE PROCEEDINGS

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), Aarhus, Denmark, July 06-08, 2022.

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 (EGICE), Aarhus, Denmark, July 06-08, 2022.

Zhang, L., and Liu, K. (2022). “Semantic modeling for supporting planning decision making towards smart cities.” Proceedings of the 2021 ASCE CI & Construction Research Congress (CRC) Joint Conference, Arlington, VA, March 09-12, 2022.

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, Orlando, FL, September 12-14, 2021.

Wang, Y., Tang, P., Liu, K., Cai, J., Ran 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, Orlando, FL, September 12-14, 2021.

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), Tempe, AZ, March 08-10, 2020.

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, Atlanta, GA, June 17-19, 2019.

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, Chicago, IL, October 01-03, 2018.

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 2018), Lausanne, Switzerland, June 10-13, 2018.

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), New Orleans, LA, April 02-04, 2018.

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 2017), Seattle, WA, June 25-27, 2017.

Liu, K., and El-Gohary, N. (2017). “Ontology-based data integration for supporting big bridge data analytics.” Proceedings of the 2017 CSCE Annual Conference, Vancouver, BC, Canada, May 31-June 03, 2017.

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), San Juan, Puerto Rico, May 31-June 02, 2016.

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), Tempe, AZ, May 18-20, 2016.

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), Oulu, Finland, June 15-June18, 2015.

Courses

CM 506 Computer Applications in the Construction Process

CE 546 Machine Learning and Analytics in Civil Engineering Applications

CM 810 Machine Learning and Data Analytics in Construction