Senior Graduate Researcher

Damon A. Rousis

**** *********** ****** | Austin, Texas 78750 | 386-***-**** | *****.******@*****.***

EMPLOYEE PROFILE

Creative problem solver with experience working independently and on multidisciplinary teams; extremely self-motivated with strong communication skills; engaging presenter and excellent at summarizing results into concise and meaningful conclusions;

strong background in applied math, numerical methods, and computer simulation

CORE COMPETENCIES

* Modeling and Simulation

* Statistics & Probability

* Monte Carlo Methods

* Data Mining

* Machine Learning

* Technical Writing

* Data Reduction and Visualization

* Predictive Modeling and Regression

* Single and Multi-objective Optimization

EDUCATION

PhD in Aerospace Engineering (ABD), Georgia Institute of Technology Expected: August 2011

Title: “Bayesian Adaptive Sampling for Concept Evaluation and Selection with Expensive Models”

Doctoral Minor in Mathematics

Master of Science in Aerospace Engineering, Georgia Institute of Technology August 2008

Title: “Iterative Regularization for Ill-posed Model Calibration Problems”

GPA: 3.65

Bachelor of Science in Aerospace Engineering, Georgia Institute of Technology May 2006

GPA 3.70, Highest Honors

EXPERIENCE

Senior Graduate Researcher – Aerospace Systems Design Laboratory January 2011-Present

* Design and Optimization of Advanced Concepts (NASA) – Designed a machine learning algorithm for robust and efficient optimization of coupled, multidisciplinary analysis codes. Performed computer experiments on physics-based models to support technology portfolio decisions. Created novel visualization techniques for high-dimensional data sets.

Graduate Internship – NASA Glenn Research Center, Cleveland, OH May-July 2010, May-October 2011

* Developed and implemented automated surrogate modeling, design of experiments and numerical optimization scripts to facilitate design of complex systems. Worked closely with software developers to provide guidance for NASA’s multidisciplinary analysis framework.

Graduate Research Assistant – Aerospace Systems Design Laboratory August 2006-January 2011

* Environmental Design Space (FAA) – Built physics-based models to support environmental policy decisions through performance predictions and demand forecasting. Performed data reduction on large databases from distributed computing simulations. Correlated inputs and outputs using advanced regression techniques and sensitivity analysis.

* Robust Status Matching (AFOSR) – Calibrated performance models based on noisy test data. Developed techniques for health monitoring using Kalman filtering, regularization and Monte Carlo methods.

Undergraduate Cooperative Education Position – GE Aircraft Engines, Cincinnati, OH

* Four rotations with various groups including Competitive Assessment, Product Performance, Mechanical Design, and Military Systems (May 2003-August 2005)

* Created and validated computer models to support preliminary design decisions. Performed hypothesis tests and correlation studies to uncover performance trends and failure probabilities from observed data. Communicated results to management and customers in response to rapidly changing design specifications and constraints.

RELEVANT COURSEWORK

Iterative Methods for Systems of Equations, Numerical Linear Algebra, Linear Programming, Statistical Methods, Advanced Design Methods, Optimization

COMPUTER SKILLS

* Software - JMP, Minitab, Crystal Ball, Microsoft Office (Excel, Word, PowerPoint), AutoCad, ModelCenter, OpenMDAO

* Languages – MATLAB, Python, LaTeX, HTML

HONORS AND ACTIVITIES

NASA Graduate Student Researchers Program Fellow

NASA Advanced Research Mission Directorate 2010 Associate Administrator Award: Honorable Mention

Sigma Gamma Tau member, Aerospace Honor Society

Tau Beta Pi member, Engineering Honor Society

President and Founder, Georgia Tech Barbecue Club

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