Bayesian Estimation

Presented our work on Energy-Efficient Solar Forecasting with a Neuromorphic–Bayesian State Estimation Approach at the Energy Consequences of Information (ECI) Workshop 2026, held in Santa Fe, NM, USA.

This paper introduces RCUKF, a framework combining Reservoir Computing and Unscented Kalman Filtering to achieve accurate state estimation in complex systems, validated on benchmark problems and real-time vehicle simulations.

Presented the RCUKF framework, integrating Reservoir Computing and Unscented Kalman Filter for accurate state estimation of nonlinear systems, at MECC 2025 in an invited session on sustainable transportation solutions.

Received the Student Grant Award at MECC 2025 for the paper ‘RCUKF: Data-Driven Modeling Meets Bayesian Estimation’, selected from over 120 global applicants for promising research in modeling, estimation, and control.