Ruxin Wang is a Ph.D. student in the Electrical Engineering and Computer Science Department at Louisiana State University, under the supervision of Dr. Chen Wang in the Mobile and Internet Security Lab. She obtained her M.S. degree from Syracuse University in the United States in 2019 and her B.S. degree from Northeastern Forestry University in China in 2017. Her research focuses on cyber-physical systems (CPS) for safety and security enhancement, mobile sensing, and AI in healthcare. During her Ph.D., she has received several prestigious awards, including the N2Women Fellowship and travel grants from top-tier conferences. She has also published her work as the first author at top-tier conferences such as IEEE SP, ACM MobiCom, and SIGCHI.
Smart devices like smartphones and Mixed Reality (MR) headsets continue to proliferate throughout our daily lives, offering great convenience and enriching entertainment. Equipped with built-in sensors such as microphones, inertial sensors (e.g., Accelerometers and Gyroscopes), and cameras, these devices can detect environmental changes, user interactions, or movements, enabling task automation, personalized experiences, and enhanced user engagement. However, the safety and security concerns associated with these devices are often overlooked by users. Specifically, smartphones provide quick access to communication but also foster dependence and the risk of distracted driving due to the constant need to stay connected. Additionally, while passwords and user trajectories are commonly used for MR headset authentication due to their ease of use, they are vulnerable to eavesdropping, reuse, or physical forgery in replay attacks. The applicant’s research focuses on solving the safety and security issues in human-device interactions. The basic idea is to develop novel sensing techniques to detect dangerous user behaviors and make the authentication data non-reusable.