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About

Marina L. Gavrilova is a distinguished computer scientist whose research spans computational geometry, biometrics, emotion recognition, and artificial intelligence. Best known for her foundational work in robotics and autonomous systems, her 2008 paper on Voronoi diagram-based path planning has become a landmark reference in the field, accumulating over 313 citations and providing elegant geometric solutions to one of robotics' most persistent challenges. Gavrilova has also pioneered the emerging field of "artimetrics" — the application of biometric principles to artificial entities such as robots, avatars, and intelligent software agents — a visionary concept she introduced as early as 2010 that anticipated today's urgent questions around AI identity and authentication. Her work on emotion recognition from body movement and gait, supported by deep learning architectures including LSTMs and sequential neural networks, has garnered over 150 citations and positioned her as a key contributor to affective computing and human-computer interaction. Spanning cognitive informatics and brain-inspired computing as well, Gavrilova's research portfolio reflects a rare breadth of vision, consistently bridging mathematical theory with real-world applications in robotics, virtual reality, and security — making her an influential and forward-thinking voice in modern computer science.