# overview
My research focuses on the development of new methods to apply random vibration theory to better understand vortex induced vibration of marine risers, new structural health monitoring methodologies, and the statistical prediction of extreme values in non-linear dynamic systems subject to these random processes.

# keywords[]
8.4 Research Design And Methodologies (health Services)

# keywords[]
8 Health And Social Care Services Research

# educationAndTraining[].organization.label
Stanford University - (Stanford, California, United States)

# awardsAndHonors[].label
Faculty Early Career Development (CAREER) Program

# publications[].label
Momentum Cloud Method for Dynamic Simulation of Rigid Body Systems

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

# publications[].label
Conceptual design of floating wind turbines with large-amplitude motion

# publications[].label
The modal distribution method for statistical analysis of measured structural response

# publications[].label
Design optimization of hull size for spar-based floating offshore wind turbines

# publications[].label
Statistical condensation of meteorological ocean data for wind turbine design

# publications[].label
Numerical simulation of floating offshore wind turbines including aero-elasticity and active blade pitch control

# publications[].label
The Hermite Moment Model for Highly Skewed Response With Application to Tension Leg Platforms

# publications[].label
Practical Airgap Prediction for Offshore Structures

# publications[].label
Efficient Calculation of Statistical Moments for Structural Health Monitoring

# publications[].label
The modal distribution method: a new statistical algorithm for analyzing measured acceleration data

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

# publications[].label
Airgap analysis of floating structures: first- and second-order transfer functions from system identification

# publications[].label
Air Gap Response of Floating Structures: Statistical Predictions Versus Observed Behavior

# publications[].label
Loading and response of offshore wind turbine support structures: Prediction with comparison to measured data

# publications[].label
Floating Offshore Wind Turbine Dynamics: Large-Angle Motions in Euler-Space

# publications[].label
Simulation of large-amplitude motion of floating wind turbines using conservation of momentum

# publications[].label
Structural monitoring of wind turbines using wireless sensor networks

# publications[].label
Wave Climate Hindcast for the Design of Offshore Wind Energy Structures in the German Bight

# publications[].publisher
Indian Society for Development and Environment Research (ISDER)

# publications[].label
Non-Gaussian Air Gap Response Models for Floating Structures

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

# publications[].label
Airgap prediction: Use of second-order diffraction and multi-column models

# publications[].label
Airgap prediction from second-order diffraction and Stokes theory

# publications[].publisher
International Society of Offshore and Polar Engineers

# publications[].label
Analytical Predictions of the Air Gap Response of Floating Structures

# publications[].label
Multibody dynamics of floating wind turbines with large-amplitude motion

# publications[].label
Rational selection of floater designs for offshore wind farms using power transfer functions

# publications[].label
A geometrically-exact momentum-based non-linear theory applicable to beams in non-inertial frames

# researcherOn[].label
FFATA:  Floating Offshore Wind Turbines:  Conceptual Assessment of Highly Compliant Platforms Using Theory, Design and Simulation

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

# researcherOn[].label
Collaborative Development:  Both the Corps and Texas A&M Wish To Develop A Masters-Level Curriculum In "Engineering With Nature"

# researcherOn[].awardedBy.label
United States Army - (Washington D.C., District of Columbia, United States)

# researcherOn[].awardedBy.preferredLabel
US Army-COE- Engineer Research and Development Center

# researcherOn[].label
Measurements of Forcings and Natural and Nature Based Feature Design and Usage in Coastal and Estuarine Systems, Galveston District

# researcherOn[].awardedBy.label
United States Army - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
A probabilistic methodology for hazard assessment of tsunami generated by submarine landslide and for construction of tsunami inundation maps in the Gulf of Mexico

# researcherOn[].awardedBy.label
National Oceanic and Atmospheric Administration - (Washington D.C., District of Columbia, United States)

# streetAddress
Texas A&M University; Ocean Engineering; 3126 TAMU

# inTheNews[].label
Researcher Develops Formulas To Predict Coastal Sediment Movement

# etdChairOf[].label
Wang, Lei (2012-10). Multibody Dynamics  Using Conservation of Momentum with Application to Compliant Offshore Floating Wind Turbines. Doctoral Dissertation.

# etdChairOf[].label
Choi, Myoung (2010-07). THE MODAL DISTRIBUTION METHOD: A NEW STATISTICAL ALGORITHM FOR ANALYZING MEASURED RESPONSE. Doctoral Dissertation.