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Posdoctoral Scientist - La Laguna University

Researcher and Consultant - EAN University.

ABOUT ME

Leonardo Rodríguez Urrego holds advanced degrees in Mechatronics Engineering from Universidad San Buenaventura (2003) and in Automatic and Industrial Electronics Engineering from Universidad Politécnica de Valencia (2009). He has furthered his expertise with a Master's degree in Automatics, Robotics, and Industrial Informatics (2009), a Master's in Energy Technology for Sustainable Development (2012), and a Ph.D. in Automatics, Robotics, and Industrial Informatics (2012), all from the same institution in Valencia.

His academic journey was initially acknowledged in Colombia with the National Engineering Student Award in 2003, given by the Colombian Association of Engineering Faculties (ACOFI). He has led, implemented, and supported European projects such as EOLIA and MICHEGER in the field of Renewable Energies with international companies like ACCIONA Energía, Ingeteam Service, and the Port Authority of Valencia. He also worked on various projects involving fault diagnosis, automation, and energy with the ai2 Institute at the Universidad Politécnica de Valencia.

In 2012, he returned to Colombia as the CEO of INEL Colombia, a company dedicated to alternative energies and smart sensing, where he led and implemented projects for three years. In 2014, Universidad EAN appointed him to its group of experts in energy and automation. He has held several management roles including Director of the Energy Engineering Program, Director of the Department of Processes, Director of the Innovation and Transfer Unit, and most recently, Manager of Research and Transfer at the university.

Currently, he is undertaking a postdoctoral research stay at the University of La Laguna, Tenerife, Spain, funded by the NextGeneration program of the European Union.

With 20 years of professional experience in management and research in the fields of Industrial Automation and Renewable Energies, Discrete Event System Control, Hybrid Systems Control, Fault Diagnosis and Recovery Systems, and Supervision and Control Systems, he possesses excellent leadership, planning, project management, and teamwork skills.

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RESEARCH INTERESTS

EDUCATION

Coloured Petri Nets and Fault Diagnosis

The PNs provide the ability to apply the techniques of merging places, which allow reducing the size of the resulting models. This synthesis capacity in the resulting models is further accented with the Coloured Petri Nets (CPNs). These CPNs are designed for the general purpose of being a graphical structure based on PNs useful to specify, design, and analyze the concurrent systems that contribute to the possibility of applying merging techniques for the representation of different concurrent subprocesses that coexist in the same PN graphical structure. The CPNs allow assigning the functions in their arcs with lineal transformations capacity, which allows great functional variability to the final model.
All these characteristics of synchronism and concurrency of the PNs, in addition to the merging techniques of the CPNs, provide the necessary robustness for the application of fault diagnosis in any complex system. Among the most recent advances using Coloured Petri Nets for Fault Diagnosis.

2009 - 2012

Polytechnique University of Valencia, Spain

Ph.D., Automation, Robotics and Industrial Informatics.

Thesis: Faults Diagnosis in Complex Systems based on Latent Nesting Method using Coloured Petri and Hybrid

2011 - 2012

Polytechnique University of Valencia, Spain

M.Sc, Energy Technology for Sustainable Development.

Thesis: Expert Systems for a Fault Diagnosis, Condition Monitoring and Supervision of a Offshore Wind Farms.

 

 

2006 - 2009

Polytechnique University of Valencia, Spain

M.Sc, Automation, Robotics and Industrial Informatics.

Thesis: Faults Diagnosis in Complex Systems based on Latent Nesting Method. Study Case: Lubrication and Cooler System of a Windturbine's Gearbox

 

Automation and Control Systems

Petri nets, modeling and simulation of complex systems, artificial intelligence, modeling and control of discrete and continuous systems.

Energy Sustainability

In a globalized world, economic growth is an aspect that influences the energy requirements of different countries, some of them with a stronger productive force and a higher population density, such as China, United States, Japan and Germany. Economic powers are those that are at the peak of consumption. Energy has become in a strategic product and is essential to economic growth of developing countries.

In Colombia, energy consumption is linked to climate change, specifically phenomena such as "El Niño" and "La Niña" can affect procurement and generation of the national power grid. In the same way, the country's GDP and the economic situation have an impact on energy demand. According to Unidad de Planeación Minero Energética (UPME) projections, for the period 2010 to 2020 there will be an average growth rate of 3.4% and for the period 2020 to 2030 will be of 3.1% . With environmental problems associated with energy generation from conventional sources and depletion of resources, the country should follow the global trend of using alternative sources of energy generation, because energy demand is increasing and available resources are being consumed continuously, especially from fossil sources. To a greater extent, solar energy is one of the most used options and it has the fastest growing in its implementation 

1999 - 2003

San Buenaventura University, Colombia

B.Eng, Mechatronics.

 

 

2007 - 2009

Polytechnique University of Valencia, Spain

B.Eng, Automation and Industrial Electronics.         (officially accredited)

 

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