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Ana Tanevska is a researcher specializing in human-robot interaction (HRI), cognitive architectures, and the design of socially adaptive robotic systems. Her work sits at the compelling intersection of affective computing, robot-assisted therapy, and inclusive technology design. Tanevska's most influential contribution, "A Cognitive Architecture for Socially Adaptable Robots" (2019, 24 citations), demonstrates her commitment to developing robots capable of personalizing interactions by continuously learning and adapting to individual human needs. Building on this, her 2018 work on affective cognitive architectures explores how emotion can serve as both perceptual input and behavioral guidance in human-humanoid interaction, earning 15 citations alongside her research on robot-assisted therapy for autistic children. More recently, Tanevska has emerged as a vocal advocate for diversity, equity, and inclusion in robotics, co-organizing multiple dedicated HRI workshops and co-authoring thought-provoking studies examining social exclusion dynamics involving robots. Her 2025 work on curiosity-driven cognitive architectures reflects an evolving research agenda that prioritizes intrinsic motivation and value alignment. With over 90 cumulative citations, Tanevska's scholarship meaningfully advances both the technical and ethical dimensions of human-robot interaction.