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Rasmus Grønkjær Tollund is a researcher at Aalborg University, specializing in Artificial Intelligence (AI) and its applications in areas such as AI planning and formal methods. With a solid background in Computer Science, he has actively supervised multiple student projects over seven semesters as a teaching assistant. His recent research interests focus on combinatorial optimization and heuristic search techniques in automated planning. Tollund has been involved in significant projects, including a PhD project on optimal planning games that aims to leverage state differences through heuristic search methods. His work contributes to the understanding of AI methodologies and their integration into practical applications, underscoring his commitment to advancing the field of Artificial Intelligence.
Aalborg University • Aalborg, Denmark
Assisted in teaching Computer Science courses and supervised multiple student projects over seven semesters.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.