Bachelor’s of Mechanical Engineering, Liberty University 2026.

Archer’s research is primarily focused on applying Spiking Neural Networks (SNNs) to control and robotics problems. Previous research in this area includes training an SNN in a Gymnasium environment and transferring it to a robot mimicking the Gymnasium model, developing a simulation to train SNNs to control the heart rate of an artificial heart, and creating an SNN to balance a Furuta (rotary inverted) pendulum. Other research has included developing a topological mapping and location reidentification/localization methods using vector-embedding tools and odometry.