Valeria Javalera Rincón

Dr. Valeria Javalera holds a PhD (cum laude) in Automatic and Robotics from the Polytechnic University of Catalonia (UPC) Spain, as well as an MSc in Computer Science, and an Engineering degree in Computer Systems from the Technological Institute of Hermosillo, Mexico. Her research focuses on developing Machine Learning (ML) algorithms for multi-objective and multi-agent optimization problems where a Pareto optimum is needed.

During the completion of her PhD, Dr. Javalera was a research assistant at the Institute of Robotics and Industrial Informatics (IRI). At IRI, she developed algorithms based on ML to optimize distributed Large-Scale Systems (LSS). Dr. Javalera applied this research to projects related to the integrated water cycle management, such as the WIDE project, funded by the European Union, and the WATMAN and ITACA projects financed by the Spanish government.

Dr. Javalera was an associate professor at the Higher Technological Institute of Cajeme (ITESCA) and has more than fifteen years of teaching experience at graduate and undergraduate level in the areas of distributed computing, multi-agent systems, artificial intelligence, and computer science. Dr. Javalera was also a member of the postgraduate council of Mechatronics at the institute. She is also a founding member of the Ibero-American Network in Artificial Intelligence (RIIA).

As a researcher at the Ecosystems Services and Management program, Dr. Javalera manages and develops the Linker platform. The Linker platform is a tool that links land-use models from more than 24 regions/countries participating in the FABLE project. Part of Dr. Javalera's work in FABLE, where is also a member of the secretariat, is to help to coordinate the collaboration between the different country teams towards to address some of the SDGs by aligning countries' land-use planning through sustainable international trade.

Last update: 14 SEP 2020