Resume

• 2009

  Doctor of Philosophy (Ph.D.)

  Research: Machine-vision enhanced post-earthquake inspection and rapid loss estimation

  Civil Engineering

  Georgia Institute of Technology

  M.S.

  Research: Machine-vision enhanced post-earthquake inspection and rapid loss estimation

  Civil Engineering

  EERI

  Georgia Institute of Technology

• 2005

  B.S.

  Architectural Engineering

  Engineer in Training (E.I.T.)

  National Council of Examiners for Engineering and Surveying

• Paal Research Group

  Dr. Stephanie Paal is an Assistant Professor in the Zachry Department of Civil Engineering at Texas A&M University. Her research focus is on mitigating the effects of natural and man-made disasters on our built infrastructure by integrating...

  Automated damage assessment of reinforced concrete columns for post-earthquake evaluations

  An automated method in damage state assessment of reinforced concrete columns for the purpose of establishing a rapid and quantitative post-earthquake safety and structural evaluation procedure is proposed.

  Ph.D. Thesis: Automated damage assessment of reinforced concrete columns for post-earthquake evaluations

  Young Life

  Mentor

  Bright Futures of Atlanta

  Mentor

  ACE Atlanta

  Structural Dynamics

  Structural Analysis

  Microsoft Office

  Research

  Earthquake Engineering

  SAP2000

  C++

  Abaqus

  Public Speaking

  Microsoft Excel

  Structural Engineering

  Numerical Analysis

  MathCAD

  Matlab

  Fortran

  AutoCAD

  Technical Writing

  Finite Element Analysis

  Machine Vision-Enhanced Postearthquake Inspection

  Laura Lowes

  Ioannis Brilakis

  Zhenhua Zhu

  Jong-Su Jeon

  Current postearthquake inspection of structures relies on certified inspectors to make an assessment of the existing safety of the structure based primarily on qualitative measures. Completing the required inspection takes weeks to complete

  which has adverse economic and societal impacts on the affected population. This paper proposes an automated framework for rapid postearthquake building evaluation.

  Machine Vision-Enhanced Postearthquake Inspection

  Zhenhua Zhu

  Ioannis Brilakis

  Visual Pattern Recognition Models for Remote Sensing of Civil Infrastructure

  Rapid Entropy-Based Detection and Properties Measurement of Concrete Spalling with Machine Vision for Post-Earthquake Safety Assessments

  Ioannis Brilakis

  Zhenhua Zhu

  Detection of Large-Scale Concrete Columns for Automated Bridge Inspection

  Ioannis Brilakis

  Zhenhua Zhu

  Visual Retrieval of Concrete Crack Properties for Automated Post-Earthquake Structural Safety Evaluation

  Stephanie

  Paal

  Ph.D.

  Texas A&M University

  Georgia Institute of Technology

  The University of Texas at Austin

  Ecole Polytechnique Fédérale de Lausanne (EPFL)

  Model Falsification for Water Network Systems \n\n• Providing research and administrative support for Ph.D. students\n• Successfully leading individual Ph.D. students to completion of dissertations\n• Mentoring Ph.D. students regarding academic presentation and technical writing skills\n• Designing curricula

  instructional materials and daily coursework for educational courses\n• Providing individual coaching to supplement classroom instruction

  Ecole Polytechnique Fédérale de Lausanne (EPFL)

  Undergraduate Research Assistant

  Bursting and Shear Behavior of Prestressed Concrete Beams and End Blocks\n\nAdvisor: Dr. Oguzhan Bayrak

  The University of Texas at Austin

  Texas A&M University

  Bryan/College Station

  Texas Area

  Assistant Professor

  Doctoral Research: Machine-vision damage detection and property retrieval of reinforced concrete frame buildings for post-earthquake safety assessments. \n\nAdvisors: Dr. Reginald DesRoches and Dr. Ioannis Brilakis\n\n• Lead researcher on a National Science Foundation funded project\n• Created a computer program to automatically determine the damage state of post-earthquake reinforced concrete columns

  implemented in a C# platform\n• Organized and led data collection expeditions\n• Executed extensive background research\n• Effectively communicated key research findings

  both written and verbal\n• Trained

  supervised and mentored research assistants\n• Worked efficiently with researchers and professionals across the nation and world

  Georgia Institute of Technology

  French

  Collingwood Prize

  American Society of Civil Engineers

  ARCS Foundation Scholar

  ARCS (Achievement Rewards for College Students)

  ARCS Foundation Scholar

  Joachim Herz Stiftung/Global Impact Award

  ARCS (Achievement Rewards for College Students)