# keywords[]
9 Industry, Innovation And Infrastructure

# keywords[]
16 Peace, Justice And Strong Institutions

# educationAndTraining[].organization.label
Georgia Institute of Technology - (Atlanta, Georgia, United States)

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Performance Assessment of Building Infrastructure Impacted by the 2017 Hurricane Harvey in the Port Aransas Region

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Comprehensive Property Retrieval and Measurement of Concrete Spalling Using Machine Vision for Post-Earthquake Safety Assessments

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Safe route-finding: A review of literature and future directions.

# publications[].label
Machine Vision Techniques for Condition Assessment of Civil Infrastructure

# publications[].tags
9 Industry, Innovation and Infrastructure

# publications[].label
Metaheuristic least squares support vector machine-based lateral strength modelling of reinforced concrete columns subjected to earthquake loads

# publications[].label
Machine Learning-Based Backbone Curve Model of Reinforced Concrete Columns Subjected to Cyclic Loading Reversals

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Error Assessment of Machine Vision Techniques for Object Detection and Evaluation

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Automated Detection of Exposed Reinforcement in Post-Earthquake Safety and Structural Evaluations

# publications[].label
Data-driven seismic response prediction of structural components

# publications[].label
Automated detection of exposed reinforcement in post-earthquake safety and structural evaluations

# publications[].label
Experimental and computational investigation of a load-posted steel beam bridge

# publications[].label
A data-free, support vector machine-based physics-driven estimator for dynamic response computation

# publications[].label
Large-Scale Column Detection for Bridge Inspection

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Measurement system design for leak detection in hydraulic pressurized networks

# publications[].label
Field Testing and Refined Load Rating of a Load-Posted Continuous Steel Girder Bridge

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Leak Detection of Water Supply Networks Using Error-Domain Model Falsification

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Chapter 2 Surveying, Geomatics, and 3D Reconstruction

# publications[].label
A knowledge transfer enhanced ensemble approach to predict the shear capacity of reinforced concrete deep beams without stirrups

# publications[].label
An electrical network for evaluating monitoring strategies intended for hydraulic pressurized networks

# publications[].label
Evaluation of transfer learning models for predicting the lateral strength of reinforced concrete columns

# publications[].label
Performance comparison of reduced models for leak detection in water distribution networks

# publications[].label
Applying Few-Shot Learning in Classifying Pedestrian Crash Typing

# publications[].label
A locally weighted machine learning model for generalized prediction of drift capacity in seismic vulnerability assessments

# publications[].label
Artificial intelligence-enhanced seismic response prediction of reinforced concrete frames

# publications[].label
Detection of large-scale concrete columns for automated bridge inspection

# publications[].label
Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments

# publications[].label
Visual recognition and assessment of concrete crack properties

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
5 Probabilistic seismic analysis of reinforced concrete frames using artificial intelligence-enhanced mechanical model

# publications[].label
Achievements and Challenges in Machine Vision-Based Inspection of Large Concrete Structures

# publications[].label
Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation

# publications[].label
Using electrical resistance networks to enhance performance assessment of water distribution networks

# publications[].label
Automated crack pattern measurements for rapid post-earthquake safety assessment

# publications[].label
Advancing post-earthquake structural evaluations via sequential regression-based predictive mean matching for enhanced forecasting in the context of missing data

# publications[].label
Visual Pattern Recognition Models for Remote Sensing of Civil Infrastructure

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Reducing the effect of sample bias for small data sets with double-weighted support vector transfer regression

# publications[].label
Chapter 5 Use Cases for Architects and Engineers

# publications[].label
A novel outlier-insensitive local support vector machine for robust data-driven forecasting in engineering

# publications[].label
Automated Damage Index Estimation of Reinforced Concrete Columns for Post-Earthquake Evaluations

# publications[].publisher
American Society of Civil Engineers (ASCE)

# publications[].label
Deep learning for site safety: Real-time detection of personal protective equipment

# researcherOn[].label
Workshop on Additive Manufacturing (3D Printing) for Civil Infrastructure Design and Construction: Arlington, Virginia; July 13-14, 2017

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# researcherOn[].label
CAREER: Leveraging Existing Knowledge and Artificial Intelligence to Understand the Performance of Civil Infrastructure Under Extreme Hazard Loads

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# streetAddress
Texas A&M University; Civil Engineering; 3136 TAMU

# inTheNews[].label
Is Houston-area prepared for a major hurricane? A status update on projects seeking to mitigate impact