Research output per year
Research output per year
Personal profile
Research interests
- Intelligent infrastructure monitoring
- Smart and resilient communities
- Natural hazards engineering
- Knowledge transfer models
- Digital Twin
- Large language model
Expertise
- Data analytics in disaster resilience
- Data-driven structural performance predictions
- Machine learning, Transfer learning
- Geospatial analysis
- Nonlinear structural analysis
Honors and Awards
- 2025 - Engineering Structures Featured Paper Award, Elsevier
- 2017 - Best Poster Award, Korean Society of Civil Engineers (KSCE)
- 2017 - Best Paper Award, Computational Structural Engineering Institute of Korea (COSEIK)
- 2017 - Best Poster Award, 2017 Symposium on Multiscale & Multiphysics Mechanics (MMM)
- 2013 - Best Design and Presentation Award, Korean Society of Civil Engineers (KSCE)
Education/Academic qualification
PhD, Texas A&M University
… → 2023
Master, Hongik University
… → 2017
Bachelor, Hongik University
… → 2015
External positions
Research Scientist, Resilitix Intelligence, LLC
Feb 2024 → Jul 2026
Postdoctoral Researcher, Texas A&M University
Nov 2023 → Jul 2026
Graduate Teaching Fellow (The Instructor of Record), Texas A&M University
Jan 2023 → May 2023
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Physics-Informed Machine Learning in Structural Engineering: A Scoping Review and Categorization of Physics Injection Methods
Murphy, J. D., Pak, H., Weng, Y. & Paal, S. G., Jun 2026, In: Journal of Structural Engineering. 152, 6, 15 p., 03126001.Research output: Contribution to journal › Review article › peer-review
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Roadmap Toward Responsible AI in Crisis Resilience and Management
Lee, C. C., Comes, T., Finn, M., Pak, H., Hsu, C. W. & Mostafavi, A., 2026, In: IEEE Access. 14, p. 11200-11215 16 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
A real-time structural seismic response prediction framework based on transfer learning and unsupervised learning
Pak, H. & Paal, S. G., 15 Jan 2025, In: Engineering Structures. 323, Part A, 15 p., 119227.Research output: Contribution to journal › Article › peer-review
29 Scopus citations -
Transfer learning for advancing natural hazard mitigation in civil engineering: a scoping review and future directions
Weng, Y., Murphy, J. D., Pak, H. & Paal, S. G., Aug 2025, In: Natural Hazards. 121, 15, p. 17283-17320 38 p.Research output: Contribution to journal › Review article › peer-review
1 Scopus citations -
A knowledge transfer enhanced ensemble approach to predict the shear capacity of reinforced concrete deep beams without stirrups
Pak, H., Leach, S., Yoon, S. H. & Paal, S. G., Jul 2023, In: Computer-Aided Civil and Infrastructure Engineering. 38, 11, p. 1520-1535 16 p.Research output: Contribution to journal › Article › peer-review
Open Access22 Scopus citations
Activities
- 2 Invited talk
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Guest Lecture - CE4/6910 AI Class
Pak, H. (Speaker)
Dec 2024Activity: Talk or presentation › Invited talk
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Datasets
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Code and Data for a Real-time Structural Seismic Response Prediction Framework based on Transfer Learning and Unsupervised Learning
Pak, H. (Creator) & Paal, S. G. (Creator), Texas A&M University, 29 Jun 2023
Dataset
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Evaluation of Transfer Learning Models for Predicting the Lateral Strength of Reinforced Concrete Columns
Pak, H. (Creator) & Paal, S. G. (Creator), Texas A&M University, 9 Jul 2022
Dataset
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A Knowledge Transfer Enhanced Ensemble Approach to Predict the Shear Capacity of Reinforced Concrete Deep Beams without Stirrups
Pak, H. (Creator) & Paal, S. G. (Creator), Texas A&M University, 15 Dec 2022
Dataset