Marcos Quinones Grueiro

Research Scientist

Marcos Quinones Grueiro

I am a research scientist at the Institute for Software Integrated Systems at Vanderbilt University researching 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. I am working with Professors Gautam Biswas and Daniel Work. I graduated Summa Cum Laude as an Automation Engineer in 2012 from the Technological University of Havana and I obtained an M.S. degree in Industrial Informatics and Automation in 2017 from the same university. I earned a Ph.D. degree in Technical Sciences with a specialization in Automation in 2018 in collaboration with National Autonomous University of Mexico.

 

Areas of Expertise

I have worked on the design of data-driven methods for the health monitoring of systems with multiple operating modes. I have 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.

Research Interests

My research interests are developing and applying foundational data-driven methods for the safety, control, and optimization of cyber-physical systems in crucial areas, such as transportation, water industry, manufacturing, and energy.