Nenyi Dadson is a Ph.D. candidate in Mechanical Engineering at Louisiana State University, where his research focuses on underwater robotics, event-based vision, and neuromorphic computing. His current work investigates spiking neural networks for learning and estimating fluid motion directly from asynchronous event-camera data, with an emphasis on energy-efficient and biologically inspired perception for challenging underwater environments. He also works on autonomous marine robotic systems for environmental monitoring, integrating sensing, perception, and robotic platforms for applications such as water-quality assessment and field data collection. His broader research interests include event-driven sensing, neural computation, and robotic perception for marine environments.
- Email: ndadso1@lsu.edu