Papers
26
Total Citations
477
H-Index
8
About
Anna Lekova is a researcher whose work sits at the intersection of artificial intelligence, human-robot interaction, and assistive technology, with a particular focus on improving outcomes for children with special educational needs and communication disorders. Her most cited contribution, a 2020 survey on artificial intelligence within natural and artificial computation (312 citations), established her as a thoughtful synthesizer of advances in machine learning, deep learning, and data science and their societal implications. Beyond broad AI trends, Lekova has made meaningful strides in socially assistive robotics, investigating how humanoid robots and conversational AI can serve as teaching assistants and speech-language therapy partners, applying natural language processing and generative models to make human-robot interaction more natural and accessible. Her work on Brain-Computer Interfaces for assessing emotional and cognitive skills in children with special educational needs reflects a strong commitment to inclusive technology. She has also contributed novel classification methods, including the WINkNN time-series classifier and the Lattice Computing-based Granule-Based Classifier, advancing the computational tools that underpin intelligent interactive systems. Across her portfolio, Lekova consistently bridges theoretical AI innovation with real-world humanitarian applications, making her research especially valuable to students and practitioners working at the frontier of assistive and educational robotics.
Research Focus
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Top Papers
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- 10Design and Motion Capabilities of an Emotion-Expressive Robot EmoSan7 citations · 2018