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Jason Stumfoll, aerospace engineering master's student, brought home first place in the master's division with a presentation at the 2015 AIAA Region V Student Paper Conference during April. With his first place finish, he will be attending and presenting the research at an international student paper conference to be held at the 53rd AIAA Aerospace Science Meeting.
Jason's research was on a discrete-time neural network based observer for state and uncertainty estimation. He created a balancing robot, similar to a Segway but smaller, to test the technique in a physical system.
Jason is from Springfield, Missouri and he received his bachelors of science in aerospace engineering from Missouri S&T in 2012. He is currently being advised as a master's student under Dr. S. N. Balakrishnan with plans to graduate in the Summer of 2015. His research interests include discrete-time systems, nonlinear systems, neural networks, state estimation, adaptive control, mechatronics and robotics. He has accepted a job offer with Raytheon Missile Systems in Tucson, Arizona.