HR job title
- Associate Professor
- Contact Info
- Websites
Paal, Stephanie Assistant Professor
Positions
- Assistant Professor, Civil and Environmental Engineering, College of Engineering
- Overview
- Publications
- Research
- Teaching
- Background
- Contact
- Other
- View All
Overview
Publications
selected publications
-
academic article
-
Luo, H., & Paal, S. G.
(2023).
A novel outlier-insensitive local support vector machine for robust data-driven forecasting in engineering. 1-19.
-
Pak, H., Leach, S., Yoon, S. H., & Paal, S. G.
(2023).
A knowledge transfer enhanced ensemble approach to predict the shear capacity of reinforced concrete deep beams without stirrups
-
Luo, H., & Paal, S. G.
(2023).
A data-free, support vector machine-based physics-driven estimator for dynamic response computation. Computer-Aided Civil and Infrastructure Engineering.
38(1), 26-48.
-
Weng, Y., Das, S., & Paal, S. G.
(2023).
Applying Few-Shot Learning in Classifying Pedestrian Crash Typing. Transportation Research Record.
036119812311573-036119812311573.
-
Sohrabi, S., Weng, Y., Das, S., & German Paal, S.
(2022).
Safe route-finding: A review of literature and future directions. 177, 106816-106816.
-
Stieglitz, M., Terzioglu, T., Hueste, M., Hurlebaus, S., Mander, J. B., & Paal, S. G.
(2022).
Field Testing and Refined Load Rating of a Load-Posted Continuous Steel Girder Bridge. Journal of Bridge Engineering.
27(10), 05022008.
-
Pak, H., & Paal, S. G.
(2022).
Evaluation of transfer learning models for predicting the lateral strength of reinforced concrete columns. 266, 114579-114579.
-
Luo, H., & Paal, S. G.
(2022).
Data-driven seismic response prediction of structural components. 38(2), 1382-1416.
-
Luo, H., & Paal, S. G.
(2022).
Artificial intelligence-enhanced seismic response prediction of reinforced concrete frames. Advanced Engineering Informatics.
52, 101568-101568.
-
Luo, H., & Paal, S. G.
(2021).
Reducing the effect of sample bias for small data sets with double-weighted support vector transfer regression. Computer-Aided Civil and Infrastructure Engineering.
36(3), 248-263.
-
Luo, H., & Paal, S. G.
(2021).
Advancing post-earthquake structural evaluations via sequential regression-based predictive mean matching for enhanced forecasting in the context of missing data. Advanced Engineering Informatics.
47, 101202-101202.
-
Stieglitz, M., Terzioglu, T., Hueste, M., Hurlebaus, S., Mander, J. B., & Paal, S. G.
(2021).
Experimental and computational investigation of a load-posted steel beam bridge. Engineering Structures.
245, 112963-112963.
-
Luo, H., & Paal, S. G.
(2021).
Metaheuristic least squares support vector machine-based lateral strength modelling of reinforced concrete columns subjected to earthquake loads. Structures.
33, 748-758.
-
Nath, N. D., Behzadan, A. H., & Paal, S. G.
(2020).
Deep learning for site safety: Real-time detection of personal protective equipment. 112, 103085-103085.
-
Luo, H., & Paal, S. G.
(2019).
A locally weighted machine learning model for generalized prediction of drift capacity in seismic vulnerability assessments. Computer-Aided Civil and Infrastructure Engineering.
34(11), 935-950.
-
Aghababaei, M., Koliou, M., & Paal, S. G.
(2018).
Performance Assessment of Building Infrastructure Impacted by the 2017 Hurricane Harvey in the Port Aransas Region. Journal of Performance of Constructed Facilities.
32(5), 04018069.
-
Luo, H., & Paal, S. G.
(2018).
Machine Learning-Based Backbone Curve Model of Reinforced Concrete Columns Subjected to Cyclic Loading Reversals. 32(5), 04018042.
-
Moser, G., Paal, S. G., & Smith, I.
(2018).
Leak Detection of Water Supply Networks Using Error-Domain Model Falsification. 32(2), 04017077.
-
Moser, G., Paal, S. G., & Smith, I.
(2017).
Measurement system design for leak detection in hydraulic pressurized networks. Structure and Infrastructure Engineering: maintenance, management, life-cycle design and performance.
13(7), 918-928.
-
Moser, G., Paal, S. G., Jlelaty, D., & Smith, I.
(2016).
An electrical network for evaluating monitoring strategies intended for hydraulic pressurized networks. Advanced Engineering Informatics.
30(4), 672-686.
-
Paal, S. G., Jeon, J., Brilakis, I., & DesRoches, R.
(2015).
Automated Damage Index Estimation of Reinforced Concrete Columns for Post-Earthquake Evaluations. JOURNAL OF STRUCTURAL ENGINEERING.
141(9), 04014228.
-
Moser, G., Paal, S. G., & Smith, I.
(2015).
Performance comparison of reduced models for leak detection in water distribution networks. Advanced Engineering Informatics.
29(3), 714-726.
-
German, S., Jeon, J., Zhu, Z., Bearman, C., Brilakis, I., DesRoches, R., & Lowes, L.
(2013).
Machine Vision-Enhanced Postearthquake Inspection. Journal of Computing in Civil Engineering.
27(6), 622-634.
-
German, S., Brilakis, I., & DesRoches, R.
(2012).
Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments. Advanced Engineering Informatics.
26(4), 846-858.
-
Brilakis, I., German, S., & Zhu, Z.
(2011).
Visual Pattern Recognition Models for Remote Sensing of Civil Infrastructure. Journal of Computing in Civil Engineering.
25(5), 388-393.
-
Zhu, Z., German, S., & Brilakis, I.
(2011).
Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation. Automation in Construction.
20(7), 874-883.
-
Zhu, Z., German, S., & Brilakis, I.
(2010).
Detection of large-scale concrete columns for automated bridge inspection. Automation in Construction.
19(8), 1047-1055.
-
Luo, H., & Paal, S. G.
(2023).
A novel outlier-insensitive local support vector machine for robust data-driven forecasting in engineering. 1-19.
-
chapter
-
Luo, H., & Paal, S. G.
(2023).
5 Probabilistic seismic analysis of reinforced concrete frames using artificial intelligence-enhanced mechanical model. Seismic Evaluation, Damage, and Mitigation in Structures.
(pp. 143-155).
Elsevier.
-
Tang, P., Vick, S., Chen, J., & Paal, S. G.
(2020).
Chapter 2 Surveying, Geomatics, and 3D Reconstruction. Infrastructure Computer Vision.
(pp. 13-64).
Elsevier.
-
Paal, S. G., Vick, S., & Kopsida, M.
(2020).
Chapter 5 Use Cases for Architects and Engineers. Infrastructure Computer Vision.
(pp. 203-266).
Elsevier.
-
Koch, C., Zhu, Z., Paal, S. G., & Brilakis, I.
(2015).
Machine Vision Techniques for Condition Assessment of Civil Infrastructure. INTEGRATED IMAGING AND VISION TECHNIQUES FOR INDUSTRIAL INSPECTION: ADVANCES AND APPLICATIONS.
(pp. 351-375).
Springer Nature.
-
Luo, H., & Paal, S. G.
(2023).
5 Probabilistic seismic analysis of reinforced concrete frames using artificial intelligence-enhanced mechanical model. Seismic Evaluation, Damage, and Mitigation in Structures.
(pp. 143-155).
Elsevier.
-
conference paper
-
Zhu, Z., German, S., & Brilakis, I.
(2019).
Visual recognition and assessment of concrete crack properties
-
Paal, S. G., & Smith, I.
(2015).
Error Assessment of Machine Vision Techniques for Object Detection and Evaluation. 660-666.
-
Moser, G., German Paal, S., Jelaty, D., & Smith, I.
(2015).
Using electrical resistance networks to enhance performance assessment of water distribution networks
-
Koch, C., Paal, S. G., Rashidi, A., Zhu, Z., Koenig, M., & Brilakis, I.
(2014).
Achievements and Challenges in Machine Vision-Based Inspection of Large Concrete Structures. Advances in Structural Engineering: an international journal.
303-318.
-
Paal, S. G., Zhu, Z., Brilakis, I., & DesRoches, R.
(2014).
Automated crack pattern measurements for rapid post-earthquake safety assessment
-
German, S., Brilakis, I., & DesRoches, R.
(2012).
Comprehensive Property Retrieval and Measurement of Concrete Spalling Using Machine Vision for Post-Earthquake Safety Assessments. Proceedings of SPIE.
83454s-83454s-11.
-
Zhu, Z., German, S., Roberts, S., Brilakis, I., & DesRoches, R.
(2011).
Machine Vision Enhanced Post-Earthquake Inspection. 152-160.
-
German, S., Brilakis, I., & Desroches, R.
(2011).
Automated Detection of Exposed Reinforcement in Post-Earthquake Safety and Structural Evaluations. 337-342.
-
German, S., Brilakis, I., & Desroches, R.
(2011).
Automated detection of exposed reinforcement in post-earthquake safety and structural evaluations. 337-342.
-
Zhu, Z., German, S., & Brilakis, I.
(2010).
Large-Scale Column Detection for Bridge Inspection. 637-646.
-
Zhu, Z., German, S., & Brilakis, I.
(2019).
Visual recognition and assessment of concrete crack properties
Research
principal investigator on
co-principal investigator on
Teaching
teaching activities
- CVEN345 Theory Of Structures Instructor
- CVEN363 Engr Mechanics: Dynamics Instructor
- CVEN445 Matrix Struct Analysis Instructor
- CVEN485 Directed Studies Instructor
- CVEN491 Hnr-research Instructor
- CVEN681 Sem: Construction, Geotechnica Instructor
- CVEN685 Directed Studies Instructor
- CVEN689 Sptp: Mach Int & App Cven Instructor
- CVEN689 Sptp:mach Intell&apps In Ce Instructor
- CVEN691 Research Instructor
- CVEN723 Mach Int & App Cven Instructor
Background
education and training
- Ph.D. in Civil Engineering, Georgia Institute of Technology - (Atlanta, Georgia, United States)
awards and honors
Contact
first name
- Stephanie
has last name
- Paal
mailing address
-
Texas A&M University
Civil Engineering
3136 TAMU
College Station, TX 77843-3136
USA
Other
In the News
- sgpaal@tamu.edu