Mariofanna Milanova

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About

Dr. Mariofanna Milanova is a leading researcher in computer vision and human-robot interaction, with a focus on intelligent systems that interpret and respond to human behavior. Her work bridges machine learning, signal processing, and robotics, particularly through the analysis of human motion and brain activity. She is best known for her contributions to human action recognition, where her contour-based and silhouette-based approaches (2014, 25 citations) have advanced the ability of machines to identify and classify complex movements from video data. Dr. Milanova has also made significant strides in brain–computer interfaces, developing EEG signal processing techniques (2013, 19 citations) that enhance the translation of neural signals into actionable commands for assistive technologies. More recently, her research on video-based gait monitoring for companion robots (2021, 4 citations) demonstrates a commitment to creating responsive, supportive robotic systems for healthcare and elderly care. With a career dedicated to making technology more perceptive and adaptive, Dr. Milanova’s work continues to inspire new approaches in human-centered AI and autonomous systems.