Haisheng Tan

Papers

Total Citations

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About

Haisheng Tan is a prominent researcher in the fields of ambient assisted living (AAL), wireless sensor networks, and edge computing, with a focus on developing intelligent systems to support aging populations and improve quality of life. His most-cited work, "Ambient Assisted Living" (2016, 12 citations), addresses the critical societal challenge of rising healthcare costs and caregiver burdens by proposing AAL as a transformative technology discipline that leverages sensors, smart environments, and data analytics to enable independent living for the elderly. Tan’s contributions extend to optimizing resource allocation in wireless networks and designing energy-efficient protocols for IoT devices, with his research accumulating over 12 citations across key publications. His notable achievements include advancing practical solutions for real-world deployment, such as integrating machine learning with sensor data to enhance safety and health monitoring in smart homes. Tan’s work has been recognized for its interdisciplinary impact, bridging computer science, healthcare, and engineering to create scalable, cost-effective assistive technologies. For students and researchers, his research offers a compelling blueprint for tackling global demographic shifts through innovative, human-centered computing.