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 aerospace, transportation, 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, planning and control of Unmanned Aerial Vehicles, energy optimization of Buildings, and Intelligent Transportation Systems.

Research Interests

My research interests are developing and applying foundational data-driven methods for the safety, control, and optimization of cyber-physical systems.