Shovan Raj Shrestha

Shovan is a researcher at the University of Pittsburgh's Ohodnicki Lab specializing in edge analytics for electrical infrastructure. His work bridges the gap between raw sensor data and actionable insights through the deployment of machine learning and TinyML. With a core focus on continuous monitoring, he develops robust algorithmic solutions, including Kalman filtering and predictive modeling, designed to run locally on resource constrained sensing hardware to improve the intelligence of the modern grid.