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Dr. Marcos Quinones-Grueiro

Research Scientist, Institute for Software Integrated Systems, Vanderbilt University

Marcos Quinones Grueiro has worked on the design of data-driven methods for the health monitoring of systems with multiple operating modes. He has developed methods for fault detection and diagnosis of Chemical and Industrial Processes, leak detection and location in Water Distribution Networks, process health management of Unmanned Aerial Vehicles, and fault-tolerant control and energy optimization of Buildings. His research interests are developing and applying foundational machine learning and reinforcement learning methods for the safety, control, and optimization of cyber-physical systems in crucial areas, such as transportation, water industry, manufacturing, and energy. He has authored a book, 14 journal papers, and 7 book chapters, and participated in more than 35 international conferences including ACC, ICRA, CCTA, and IFAC.