Selma Wanna joined NRG as an undergraduate research assistant during the summer of 2015. She graduated with her Bachelors of Science in Electrical and Computer Engineering the summer of 2017 and joined NRG as a graduate student that fall. Her research is focused semantic parsing using statistical and machine learned methods to map natural language to meaning representations. Selma has worked on over 10 robots and robotics projects since she became a member of the University of Texas's Robotics and Automation Society. Her favorite fictional robot is K2SO and her favorite real robot is Kuri.
