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Filip Ilievski is an AI researcher with a focus on Natural Language Processing and Knowledge Representation. He holds a PhD from Vrije Universiteit Amsterdam, where he studied the identification of long-tail entities in text. His dissertation work inspired a new approach to responsible AI, drawing from knowledge engineering processes and linguistic theories. Filip's research interests encompass commonsense reasoning, robustness, and explainability, particularly in creating AI systems that can generalize knowledge across diverse contexts. He has worked with various esteemed institutions, including a postdoctoral position at the University of Southern California's Information Sciences Institute, where he led research on generalizable out-of-domain reasoning. His collaborative efforts have attracted attention from multiple funding agencies, and he is actively involved in academic discussions through workshops and publications. As a guest editor and reviewer for several journals, Filip engages with the academic community, showcasing his commitment to advancing hybrid intelligence in AI.
Vrije Universiteit Amsterdam • Amsterdam, Netherlands
Leading research on Natural Language Processing and developing curriculum for academic courses.
Administered under the Department of Clinical Psychology for Master's in Clinical and Developmental Psychopathology.