Shenghui Zhao

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About

Shenghui Zhao is a researcher at the forefront of applying artificial intelligence and robotics to address the pressing challenges of an aging global population. Her work centers on two key areas: emotion recognition for elderly care and the development of trustworthy, socially assistive robots. Zhao’s most notable contribution is her deep learning framework for recognizing the emotions of elderly individuals living alone, a critical component of smart home care systems. This work, published in 2021 and garnering 10 citations, tackles the real-world problem of monitoring well-being through IoT-enabled technologies. She has also pioneered a framework for perceptive social robots designed to improve quality of life for the elderly, laying the groundwork for assistive tools that can support healthcare professionals. Beyond human-robot interaction, Zhao advances the reliability of service composition in robotic systems, proposing a novel method that incorporates non-functional attributes—such as trustworthiness—into formal verification using pi-calculus and linear logic. Her interdisciplinary approach, blending deep learning, robotics, and formal methods, positions her as a key contributor to creating safer, more empathetic technologies for an aging society.