Yegeta Zeleke is originally from Ethiopia and he completed his B.S. Degree at the University of California, Santa Cruz, with a double major in Computer Engineering and Robotics. He is currently a 3rd year Ph.D. student advised by Professor Ricardo Sanfelice. His research is on design of cyber-physical systems that utilize hybrid control to switch between models whose accuracy is impacted by their computational burden. In particular, Yegeta’s research focuses on the modeling analysis and design of CPS that utilize predictive methods for trajectory synthesis under static and dynamical constraints. This research can be applied to multiple areas, ranging from the automotive industry to the video game industry. In recent work, Yegeta used the techniques developed for control systems to be applied to action video games such as Flappybird and Mario. The application is broad by which we can apply this system in safety critical systems, such as robotics and drones, medical systems, such as insulin monitoring system, and chemical and mining industries.
K McKeever, Y Zeleke, M Bunting, J Sprinkle. “Experience report: constraint-based modeling of autonomous vehicle trajectories.”
M Bunting, Y Zeleke, K McKeever, J Sprinkle. “A safe autonomous vehicle trajectory domain specific modeling language for non-expert development”
Y. Zeleke, J. Osborn, R.G. Sanfelice. “Analyzing Action Games: A Hybrid Systems Approach.”