Bryan P Maldonado Puente R&D Staff Contact 734.358.3371 | maldonadopbp@ornl.gov All Publications Dynamic systems modeling of the spallation neutron source cryogenic moderator system to optimize transient control and prepare for power upgrades Transient Optimization of the Cryogenic Moderator System Controller at the Spallation Neutron Source for Improved Performance Cable-Driven Parallel Robot (CDPR) for Panelized Envelope Retrofits: Feasible Workspace Analysis Optimization of prefabricated component installation using a real-time evaluator (RTE) connection locating system Component pose reconstruction using a single robotic total station for panelized building envelopes Flat and Level Analysis Tool (FLAT) for real-time automated segmentation and analysis of concrete slab point clouds Reinforcement learning applied to dilute combustion control for increased fuel efficiency... Data-Driven Modeling of a High Capacity Cryogenic System for Control Optimization Analysis of Real-World Preignition Data Using Neural Networks... Automated tracking of prefabricated components for a real-time evaluator to optimize and automate installation Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems Automatic point Cloud Building Envelope Segmentation (Auto-CuBES) using Machine Learning Automatic Segmentation of Building Envelope Point Cloud Data Using Machine Learning Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators Artificial Neural Networks for In-Cycle Prediction of Knock Events Evaluation of Residual Gas Fraction Estimation Methods for Cycle-to-Cycle Combustion Variability Analysis and Modeling Artificial-intelligence-based prediction and control of combustion instabilities in spark-ignition engines Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge Dilute Combustion Control Using Spiking Neural Networks Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency Control-Oriented Modeling of Cycle-to-Cycle Combustion Variability at the Misfire Limit in SI Engines Online Control of Process Variance Using Feedback Learning reference governor for cycle-to-cycle combustion control with misfire avoidance in spark-ignition engines at high exhaust gas recirculation–diluted conditions Key Links Curriculum Vitae Google Scholar ORCID LinkedIn Organizations Energy Science and Technology Directorate Buildings and Transportation Science Division Building Technologies Research Section Building Envelope Materials Research Group User Facilities Building Technologies Research and Integration Center Spallation Neutron Source National Transportation Research Center