Bio
Dr. Bryan P. Maldonado is an associate research 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 30 publications in the area of dynamics systems and control, including a chapter in Artificial Intelligence and Data-Driven Optimization of Internal Combustion Engines (Elsevier, 2022). 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 uncertainty quantification methods
Dr. Maldonado is a member of IEEE 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 Old Guard Early Career Award.
Professional Experience
- Oct. 2021 to present: Oak Ridge National Laboratory, R&D Associate Staff, Oak Ridge, TN
- Jan. 2020 to Aug. 2021: Oak Ridge National Laboratory, Postdoctoral Research Associate, Knoxville, TN
- Jan. 2019 to Dec. 2019: Army Research Laboratory, Center for UAS Propulsion, Journeyman Fellow, Ann Arbor, MI
- Summer 2018: Argonne National Laboratory, Graduate Student Research Aide, Lemont, IL
- Summer 2014: European Organization for Nuclear Research (CERN), Research Assistant, Geneva, Switzerland
- Summer 2012: Coordinated Science Laboratory, University of Illinois Urbana-Champaign, Undergraduate Research Assistant, Urbana, IL
Awards
- 2023 - Early Career Research Accomplishment Award, UT-Battelle
- 2023 - HENAAC's Most Promising Scientist - PhD at a national lab, Great Minds in STEM (GMiS)
- 2023 - Cradle to Commerce Cohort, Lawrence Berkeley National Laboratory
- 2022 - Old Guard Early Career Award, The American Society of Mechanical Engineers (ASME)
- 2020 - "Your Science in a Nutshell" lightning talk competition winner, Oak Ridge National Laboratory
- 2019 - ORAU Journeyman Fellowship, US Army Research Laboratory (ARL)
- 2018 - Tau Beta Pi Michigan Gamma Scholarship, Tau Beta Pi Engineering Honor Society
- 2016 - Rackham Summer Award, Rackham Graduate School at the University of Michigan
- 2014 - SENESCYT Scholarship, National Secretary of Science and Technology, Ecuador
- 2012 - Honorable Mention, Iberoamerican Mathematics Olympiad, Guanajuato, Mexico
- 2010 - Honorable Mention, Iberoamerican University Mathematics Olympiad, Rio de Janeiro, Brazil
- 2008 - Newton Scholarship, College of Engineering, Universidad San Francisco de Quito
Education
- Ph.D. in Mechanical Engineering, University of Michigan, Ann Arbor - 2019
- M.S. in Mechanical Engineering, University of Michigan, Ann Arbor - 2016
- B.S. in Mechanical Engineering, Universidad San Francisco de Quito, Ecuador - 2014
- B.S. in Mathematics, Universidad San Francisco de Quito, Ecuador - 2013
Professional Service
Reviewer:
- IEEE Transactions on Control Systems Technology
- IEEE/ASME Transactions on Mechatronics
- ASME Journal of Dynamic Systems, Measurement and Control
- International Journal of Engine Research
- IFAC Control Engineering Practice
Technical Committees:
- ASME Dynamic Systems and Control Division Energy Systems Technical Committee
Professional Affiliations
- Hispanic and Latino Organization for Leadership and Awareness (HOLA)
- IEEE Member
- ASME Lifetime Member
- Tau Beta Pi (engineering honor society)
- Society of Hispanic Professional Engineers
Trademarks and Patents
- B. P. Maldonado, B. C. Kaul, C. D. Schuman, J. P. Mitchell, and S. R. Young. Dilute Combustion Control Using Spiking Neural Networks, US Patent US11655775B1, May 2023