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Maria Fernanda Salerno Garmendia is a PhD student at Aalborg University where she focuses on Automated Planning, with a particular emphasis on Classical Planning. She has a strong academic background in Computer Science, holding both a Master’s Degree and a Bachelor’s Degree from Universidad Carlos III de Madrid. Her research interests include various aspects of Artificial Intelligence, specifically AI Planning, Heuristic Search, and Combinatorial Optimization. Central to her research is the project titled 'Exploiting Dominance Relations Efficient Heuristic Search AI Planning', where she studies methods for processing information, delivering content, generating reports, and understanding service usage. Garmendia's work is geared towards enhancing the efficacy of planning algorithms by developing advanced heuristic search techniques that can optimize classical planning problems.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.