Dr. Bryan Maldonado is an R&D staff member in Oak Ridge National Laboratory’s Buildings and Transportation Science Division. He received his BS degrees in mathematics and mechanical engineering from Universidad San Francisco de Quito, Ecuador, in 2014, and his PhD degree in mechanical engineering, with an emphasis on control theory, from the University of Michigan, Ann Arbor, Michigan, USA, in 2019.
In 2014, Dr. Maldonado worked as a research assistant at the European Organization for Nuclear Research (CERN) in Geneva, Switzerland. In 2018, he worked as a graduate student research aide at Argonne National Laboratory. He joined the Army Research Laboratory as a journeyman fellow in 2019, and in 2020, he joined Oak Ridge National Laboratory. Dr. Maldonado has coauthored more than 45 publications in the areas of of dynamics systems and control, edge-deployed AI, and system integration/optimization. His research interests include model-based and model-free identification, estimation, and control of complex, dynamic systems with an emphasis on optimal control techniques, machine learning algorithms, and AI-driven feedback mechanisms.
Dr. Maldonado is a Senior IEEE member and a lifetime member of ASME; and the recipient of the 2023 UT-Battelle Early Career Research Accomplishment Award, 2023 Great Minds in STEM Most Promising Scientist Award, and the 2022 ASME Duane P. Jordan Early Career Award.
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September 5, 2024
10 MIN READ
Bryan Maldonado: Fast-tracking energy efficiency improvements for building envelopes