Bio
Hang Li is a Postdoctoral Research Associate in the Grid-interactive Controls Group. Hang's research specializes in Building Energy Modeling (BEM) Automation and Building Information Modeling (BIM) Interoperability. He has strong technical background in developing methods and tools to support modeling automation for sustainable built environment, by leveraging artificial intelligence, data analytics, and information extraction.
Professional Experience
Energy Analyst, Altanova LLC, New York, NY USA, 12/2018-10/2020
Energy Analyst, Energy Investment Systems, Inc., New York, NY USA, 08/2018-12/2018
Science Research Intern, International WELL Building Institute (IWBI), New York, NY USA, 06/2017-09/2017
Education
Ph.D. in Construction Management Technology, Purdue University, West Lafayette, IN USA, 2024
M.S. in Mechanical Engineering, Columbia University, New York, NY USA, 2018
B.S. in Architectural Engineering, University of Nottingham, China | UK, 2016
Professional Service
Moderator of track session “Automation in Construction”, Construction Institute (CI) and Construction Research Congress (CRC) Joint Conference, March 20-23, 2024, Des Moines, Iowa.
Reviewer, Journal of Automation in Construction, since 2024
Reviewer, Developments in the Built Environment (Journal), since 2023
Reviewer, ASCE Construction Research Congress (CRC), since 2023
Reviewer, ASCE International Conference on Computing in Civil Engineering (i3CE), since 2022
Student Member American Society of Civil Engineers (S.M.ASCE), since 2021
Student Member, ASCE Technical Council on Computing and Information Technology, Visualization, Information Modeling, and Simulation (VIMS) Committee, since 2023
Student Member, ASCE Technical Council on Computing and Information Technology, Data Sensing and Analysis (DSA) Committee, since 2023
Professional Affiliations
ASHRAE
ASCE
Other Publications
Li, H., Zhang, J., Chang, S., and Sparkling, A. (2023). “BIM-based Object Mapping Using Invariant Signatures of AEC Objects.” Auto. Constr., 145(January 2023), 104616.
Li, H., and Zhang, J. (2023). “Improving IFC-Based Interoperability between BIM and BEM Using Invariant Signatures of HVAC Objects.” J. Comput. in Civ. Eng., 37(2), 04022059.
Ren, R., Li, H., Han, T., Tian, C., Zhang, C., Zhang, J., Proctor, R. W., Chen, Y., and Feng, Y. (2023). “Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways.” Accid. Anal. Prev., 186(June 2023), 1-13.
Li, H., and Zhang, J. (2024). “Information Extraction for Semantic Enrichment of BIM for Bridge.” Proc., ASCE Construction Research Congress, ASCE, Reston, VA, in press.
Li, H., Yang, F., Zhang, J. (2024). “IFC-based Semantic Segmentation and Semantic Enrichment of BIM for Bridges.” Proc., ASCE Construction Research Congress, ASCE, Reston, VA, in press.
Li, H., Xue, X., Zhang, J., Chen, Y. (2023). “IFC-based Stormwater Drainage Modeling to Support BIM for Infrastructure.” Proc., 2023 ASCE International Conference on Computing in Civil Engineering, ASCE, Reston, VA, in press.
Li, H., Zhang, J., Chen, Y., Feng, Y., Proctor, R. (2023). “Dependency Parsing-based Information Extraction from Car Crash Narratives to Support Crash Scene Reconstruction.” Proc., 2023 ASCE International Conference on Computing in Civil Engineering, ASCE, Reston, VA. in press.
Li, H., Zhang, J., Xue, X., Debs, L., Chang, S., Qu, M., Sparking, A., and Goldwasser, D. (2022). “Issues in bi-directional interoperability between BIM and BEM.” Proc., ASCE Construction Research Congress, ASCE, Reston, VA, 1355-1364.
Li, H., and Zhang, J. (2022). “IFC-based information extraction and analysis of HVAC objects to support building energy modeling.” Proc. 39th Intl. Symposium on Automation and Robotics in Construction (ISARC 2022), I.A.A.R.C., iaarc.org., 159-166.
Li, H., and Zhang, J. (2021). “Interoperability between BIM and BEM using IFC.” Proc., 2021 ASCE International Conference on Computing in Civil Engineering, ASCE, Reston, VA, 630-637.
Li, H., and Zhang, J. (2024). “Semi-automatic IFC-based BIM Reconstruction for As-designed Bridges from 2D Plans Leveraging Semantic Segmentation and Enrichment.” J. Comput. in Civ. Eng., in press. DOI: 10.1061/JCCEE5/CPENG-5931.