Ethan Evans
Aerospace Engineer with experience in systems design & analysis, systems engineering, and website design with interest in aeronautical and astronautical design and manufacturing, aeronautical and astronautical research, physics research, aerospace systems simulation & analysis, and computing/programming.
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Ethan Evans Receives Degree from Georgia Tech
Ethan Evans of Atlanta, GA, has earned a Doctor of Philosophy in Aerospace Engineering from the Georgia Institute of Technology in Atlanta. Evans was among approximately 1,480 undergraduate and g...
October, 18 2021 - Verified by Georgia Institute of Technology
Ethan Evans Receives Degree from Georgia Tech
Ethan Evans of Atlanta, GA, has earned a Master of Science in Aerospace Engineering from the Georgia Institute of Technology in Atlanta. Evans was among approximately 3,800 undergraduate and gradu...
June, 14 2017 - Verified by Georgia Institute of Technology
Graduate Teaching Assistant at Georgia Institute of Technology
-Proctoring lab sections of AE3145 Structures Laboratory and AE2610 Introduction to Experimental Methods in Aerospace
-Setting up lab equipment for the students
-Running lab experiments
-Grading lab reports
August 2014 - Present
Graduate Researcher at Georgia Institute of Technology
➢ Project: Optimal Control-Based Bayesian Prediction of Seizure State Transitions
○ Utilized Bayesian theory with Markov Processes and Dynamic Programming to create a forward-backward scheme for
seizure detection
○ Added probabilistic forward propagation of a Bayesian threshold function to change from detection to prediction
➢ Project: Optimization-Based Nonlinear Feedback Motion Planning for Deterministic Systems
○ Reformulated a Lyapunov function guessing problem into a nonlinear constrained optimization problem
○ Fixing the structure of the Lyapunov function and the nonlinear controller creates a set of minimization parameters
○ Created algorithms for subsampled state-space controller synthesis enabling nonlinear controller scheduling over a
trajectory
➢ Project: Trajectory Optimization Using Nonlinear Controllers (In Progress)
○ Incorporating Rapidly Exploring Random Trees (RRTs) to fixed-structure controller optimization to optimize both the
controller and trajectory
○ Deriving optimal control theory for high order expansions of the value function in finite time
○ Incorporating newly derived theory into DDP for optimization yielding nonlinear policies
August 2014 - Present

