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About
Guihua Ma is a researcher at the forefront of integrating artificial intelligence with landscape architecture and human-computer interaction. Her work centers on the application of convolutional neural networks (CNNs) to enhance user experience in smart environments, particularly through the design of AI-powered entertainment robots. Ma’s most notable contribution, detailed in her 2024 paper on user entertainment experience analysis, demonstrates how deep learning models can optimize the aesthetic and interactive qualities of park plant landscapes. By employing CNNs to process visual and behavioral data, she provides a framework for creating more engaging, responsive public spaces that blend natural elements with robotic systems. While her research is still in its early stages, with one citation to date, its interdisciplinary approach—bridging computer vision, robotics, and environmental design—positions it as a novel entry into the growing field of AI-driven urban ecology. Ma’s work offers valuable insights for students and researchers exploring how intelligent systems can enrich everyday recreational experiences, paving the way for smarter, more human-centered landscapes.
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