https://kan.phd/ Recent content on Kumar Anurag https://kan.phd/cover.png https://kan.phd/cover.png Hugo -- 0.162.1 en Mon, 10 Aug 2026 22:49:36 -0600 https://kan.phd/acc2026_poster/ Thu, 28 May 2026 00:00:00 +0000 https://kan.phd/acc2026_poster/ Presented our poster on Lightweight Physics-Informed Reservoir Computing for Battery Health Prediction at the 2026 American Control Conference (ACC) in New Orleans. https://kan.phd/eci_workshop/ Tue, 03 Feb 2026 00:00:00 +0000 https://kan.phd/eci_workshop/ 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. https://kan.phd/rcukf/ Mon, 22 Dec 2025 00:00:00 +0000 https://kan.phd/rcukf/ 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. https://kan.phd/synkro_appcontest/ Fri, 21 Nov 2025 00:00:00 +0000 https://kan.phd/synkro_appcontest/ Mentored students in developing SYNKRO, a secure digital ID platform that became a Top 11 finalist at the UNM AppContest, with interest from UNM CIO for campus-wide integration. https://kan.phd/lobolearn_research_and_discovery_week/ Fri, 14 Nov 2025 00:00:00 +0000 https://kan.phd/lobolearn_research_and_discovery_week/ Presented LoboLearn, an AI-powered adaptive learning platform for UNM, at Research & Discovery Week, demonstrating significant improvements in student performance and confidence. https://kan.phd/rcukf_mecc2025/ Sun, 12 Oct 2025 00:00:00 +0000 https://kan.phd/rcukf_mecc2025/ Presented RCUKF: Data-Driven Modeling Meets Bayesian Estimation at the Modeling, Estimation and Control Conference (MECC) 2025 in Pittsburgh, PA, under the Invited Session on Machine Learning and Control Theory for Sustainable Transportation. https://kan.phd/mecc2025_student_grant/ Tue, 05 Aug 2025 00:00:00 +0000 https://kan.phd/mecc2025_student_grant/ Honored to be selected for the prestigious Student Grant Award at MECC 2025 (Modeling, Estimation and Control Conference) organized by IFAC, recognizing promising research from over 120 global applicants. https://kan.phd/drise/ Fri, 18 Jul 2025 00:00:00 +0000 https://kan.phd/drise/ This paper proposes a resilient input and state estimation method for autonomous vehicles, improving robustness against uncertainties and outliers. Simulations in CARLA validate enhanced estimation accuracy and system resilience. https://kan.phd/ifac_iav2025/ Wed, 07 May 2025 00:00:00 +0000 https://kan.phd/ifac_iav2025/ Presented 'Towards Resilient Tracking in Autonomous Vehicles: A Distributionally Robust Input and State Estimation Approach' at IFAC IAV 2025, introducing the DRISE framework for robust state estimation under model uncertainties and measurement outliers. https://kan.phd/contact/ Mon, 01 Jan 0001 00:00:00 +0000 https://kan.phd/contact/ Kumar Anurag's office location and mailing address at the University of New Mexico, USA. https://kan.phd/resume/ Mon, 01 Jan 0001 00:00:00 +0000 https://kan.phd/resume/ Kumar Anurag's Curriculum Vitae (CV). https://kan.phd/teaching/ Mon, 01 Jan 0001 00:00:00 +0000 https://kan.phd/teaching/ Teaching experience of Kumar Anurag.