# positions[].organizations[].label
Texas A&M Engineering Experiment Station (TEES)

# positions[].organizations[].parent[].label
Texas A&M Engineering Experiment Station (TEES)

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

# educationAndTraining[].organization.label
University of Southern California - (Los Angeles, California, United States)

# educationAndTraining[].organization.label
Sharif University of Technology - (Tehran, Iran)

# publications[].label
Post-disaster damage classification based on deep multi-view image fusion

# publications[].label
Identfication and validation of a stochastic model for mesoscale material description of metallic polycrystals

# publications[].publisher
American Institute of Aeronautics and Astronautics (AIAA)

# publications[].label
VALIDATION OF A PROBABILISTIC MODEL FOR MESOSCALE ELASTICITY TENSOR OF RANDOM POLYCRYSTALS

# publications[].label
A probabilistic multiscale approach for modeling poromechanical properties of shales

# publications[].label
Operational Strategies for Increasing Secondary Materials in Metals Production Under Uncertainty

# publications[].label
A probabilistic mesoscale damage detection in polycrystals using a random matrix approach

# publications[].label
An uncertainty-aware framework for reliable disaster damage assessment via crowdsourcing

# publications[].label
Characterization of random heterogeneities in polycrystalline microstructures using wave propagation simulation

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

# publications[].label
A Lifecycle Cost Analysis of Residential Buildings Including Natural Hazard Risk

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

# publications[].label
Multiscale Poromechanical Modeling of Shales Incorporating Microcracks

# publications[].label
Bayesian Inference for Uncertainty-Aware Post-Disaster Damage Assessment Using Artificial Intelligence

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

# publications[].label
Deep learning for post-hurricane aerial damage assessment of buildings

# publications[].label
Stochastic comparative assessment of life-cycle greenhouse gas emissions from conventional and electric vehicles

# publications[].label
A Methodology for Robust Comparative Life Cycle Assessments Incorporating Uncertainty.

# publications[].label
The importance of incorporating uncertainty into pavement life cycle cost and environmental impact analyses

# publications[].label
Comparative pavement life cycle assessment with parameter uncertainty

# publications[].label
A Probabilistic CrowdAI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment

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

# publications[].label
Chemical reactions of carbonate-rich mudstones with aqueous CO2 and their impacts on rock?s local microstructural and chemo-mechanical properties

# publications[].label
MULTI-VIEW DEEP LEARNING FOR RELIABLE POST-DISASTER DAMAGE CLASSIFICATION

# publications[].label
Multiscale modelling of microcrack-induced mechanical properties in shales

# publications[].label
Probabilistic Hurricane Wind-Induced Loss Model for Risk Assessment on a Regional Scale

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

# publications[].label
Exploring the Generalizability of Deep Convolutional Neural Networks for Post-Hurricane Damage Assessment

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

# publications[].label
Identification and validation of a stochastic model for mesoscale material description of metallic polycrystals

# publications[].label
Streamlined life cycle assessment: A case study on tablets and integrated circuits

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

# publications[].label
A probabilistic model for bounded elasticity tensor random fields with application to polycrystalline microstructures

# publications[].label
Microstructure representation and material characterization for multiscale finite element simulations of local mechanical behavior in damaged metallic structures

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

# publications[].label
Data analytics for simplifying thermal efficiency planning in cities.

# publications[].label
Incorporating uncertainty in the life cycle assessment of biodiesel from waste cooking oil addressing different collection systems

# publications[].label
A probabilistic upscaling of microstructural randomness in modeling mesoscale elastic properties of concrete

# publications[].label
A multiscale modeling of damage accumulation and permeability variation in shale rocks under mechanical loading

# publications[].label
Multi-view deep learning for reliable post-disaster damage  classification

# publications[].label
Probabilistic multiscale characterization and modeling of organic-rich shale poroelastic properties

# publications[].label
Approximation of Rock Fracture Toughness using Scratch Test and Phase-Field Modeling Approach

# streetAddress
Texas A&M University; Civil Engineering; 3136 TAMU, DLEB 702C

# organizations[]
Texas A&M Engineering Experiment Station (TEES)

# schools[]
Texas A&M Engineering Experiment Station (TEES)

# etdChairOf[].label
Mishra, Mihir (2017-05). Reliability-based Life Cycle Management of Corroding Pipelines via Optimization under Uncertainty. Master's Thesis.