Chaohao Jiang

Macau University of Science and Technology

Papers

Total Citations

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About

Chaohao Jiang is a leading researcher in indoor localization and navigation, with a primary focus on leveraging Wi-Fi infrastructure and deep learning to solve complex positioning challenges. Their most influential work, "Wi-Fi-Based Indoor Localization and Navigation: A Robot-Aided Hybrid Deep Learning Approach" (2023, 13 citations), introduces a novel hybrid deep learning framework that combines robot-aided data collection with advanced neural network architectures. This approach significantly improves the accuracy and robustness of indoor positioning systems, addressing critical limitations in traditional fingerprinting methods. Jiang's contributions are particularly impactful in the context of ubiquitous mobile smart devices and expanding network technologies, where reliable indoor navigation remains a persistent challenge. By integrating robotic assistance with deep learning, their work offers a scalable solution for real-world applications in smart buildings, autonomous robots, and location-based services. With growing recognition in the field, Jiang's research continues to push the boundaries of Wi-Fi-based localization, making indoor environments more navigable and intelligent.