Yi Wu

Dr. Yi Wu is an Assistant Professor at the School of Computer Science within the Gallogly College of Engineering at the University of Oklahoma. His research focuses on mobile sensing, wearable computing, cybersecurity, and smart healthcare applications, leveraging machine learning and signal processing. He holds a Ph.D. in Computer Science from the University of Tennessee, Knoxville, and has conducted postdoctoral research at Emory University, alongside industry internships at Snap Inc. and Truveta.

Education:

• Ph.D., Computer Science, University of Tennessee, Knoxville
• M.S., Computer Engineering, Rutgers University
• B.S., Automation and Engineering, University of Electronic Science and Technology of China

Research Interests:
Dr. Wu specializes in mobile sensing technologies for health monitoring, wearable device security, and adversarial attacks on IoT systems. His work bridges hardware innovation with software engineering, emphasizing real-world applications like cycling fitness tracking (SmarCyPad) and AR/VR security (Face-Mic).
Key Themes: Human-computer interaction, privacy-preserving biomedical systems, and embedded sensor networks.

Publications Trends:
His recent work spans cybersecurity vulnerabilities in AR/VR systems, lightweight biosensor technologies, and astrophysical studies of rotating stellar systems. The latter appears to represent a secondary research focus or collaborative area, with publications extending to 2023 despite primary CS affiliation.

Awards: None explicitly listed.
Grants/Advising: No details provided in available texts.
Labs/Teams: No specific lab affiliations mentioned beyond departmental resources.