This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignees: Hewlett-Packard Development Company, L.p., Purdue Research Foundation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2026
Title: Innovations of Tianqi Guo in Neural Networks
Introduction
Tianqi Guo is an accomplished inventor based in San Diego, CA. She has made significant contributions to the field of technology, particularly in the area of neural networks. Her innovative work focuses on determining respiration rates through advanced computational methods.
Latest Patents
Tianqi Guo holds a patent for her invention titled "Neural networks to determine respiration rates." This patent describes a non-transitory computer-readable medium that stores executable code. When executed by a processor, this code enables the processor to receive a video of a human torso, utilize a neural network to generate multiple vector fields representing the torso's movement, and ultimately determine the respiration rate based on these vector fields. This innovative approach has the potential to enhance various applications in health monitoring and diagnostics.
Career Highlights
Throughout her career, Tianqi Guo has worked with notable organizations, including Hewlett-Packard Development Company, L.P. and Purdue Research Foundation. Her experience in these companies has allowed her to refine her skills and contribute to groundbreaking projects in technology and research.
Collaborations
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Conclusion
Tianqi Guo's work in neural networks exemplifies the intersection of technology and health, showcasing her innovative spirit and dedication to advancing the field. Her contributions are paving the way for future developments in respiratory monitoring and analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile