Damas W. Limoge

Damas Limoge is a project lead in the Research and Development department of Nanotronics, focusing on nonlinear system control and integration with computer vision and deep reinforcement learning techniques. Previously, he was a student at Massachusetts Institute of Technology, pursuing a master’s degree in mechanical engineering. He worked on advanced battery management systems using control-oriented modeling techniques, developing a novel adaptive observer for parameter estimation of multi-input, multi-output systems. Additionally, he has worked at MIT Lincoln Laboratory, Resolute Marine Energy, General Electric and Goodrich in various mechanical engineering and simulation design roles.