Sandhra-Mirella Valdma

Papers

Total Citations

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About

Sandhra-Mirella Valdma is a researcher at the forefront of privacy-preserving computer vision and human-robot interaction. Her primary research focuses on developing innovative sensing methods that enable action recognition without compromising visual privacy. Her most cited work, "Action Recognition Using Single-Pixel Time-of-Flight Detection" (2019, 12 citations), introduces a groundbreaking concept that replaces traditional camera feeds with single-pixel time-of-flight sensors. This approach allows robotic systems to identify human actions through non-visual, depth-based data, addressing critical privacy concerns in surveillance and assistive robotics. By demonstrating that meaningful action classification is possible without capturing identifiable images, Valdma’s work opens new pathways for ethical AI deployment in sensitive environments. Her contributions are particularly notable for bridging the gap between practical robotic functionality and privacy-by-design principles, a growing priority in modern technology. Valdma’s research has been recognized for its potential to reshape how robots perceive and interact with humans, offering a template for future work in privacy-aware sensing. Her achievements underscore a commitment to developing responsible AI systems that respect user autonomy while maintaining high performance in real-world applications.