Presented PIRC framework for accurate and energy-efficient State of Health (SOH) prediction of lithium-ion batteries using physics-informed reservoir computing at ACC 2026.

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.

Mentored students Ankit Devarapalli and Haasika Reddy Jagirapu in developing SYNKRO, a digital ID replacement app that became a Top 11 finalist at UNM AppContest and attracted interest from UNM administration.

Presented LoboLearn at UNM Research & Discovery Week - an AI-powered adaptive learning platform that personalizes education by offering multiple variants of concepts to help students master ideas at their own pace.

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.

Presented the DRISE (Distributionally Robust Input and State Estimation) framework at IFAC IAV 2025, enhancing autonomous vehicle state estimation resilience through distributional robustness and moment-based ambiguity sets.