Location History:
- Greenbelt, MD (US) (2022)
- College Park, MD (US) (2022 - 2024)
- Fayetteville, AR (US) (2024)
Company Filing History:
Years Active: 2022-2025
Title: Innovations by Dongyi Wang in Fluid Sensing Technologies
Introduction
Dongyi Wang is an accomplished inventor based in College Park, MD (US). She has made significant contributions to the field of fluid sensing technologies, holding a total of 5 patents. Her work focuses on developing non-contact systems that utilize hyperspectral imaging to analyze various properties of fluids.
Latest Patents
One of her latest patents is titled "Systems and methods for compound concentration sensing in fluids." This innovative system employs a hyperspectral imaging device to capture images of a fluid and analyze the concentration of compounds within it. The system includes a flow cell and a processor that generates spectral signals, which are then used by a machine learning network to predict compound concentrations.
Another notable patent is "Systems and methods for pH sensing in fluids." Similar to her previous work, this system utilizes hyperspectral imaging to determine the pH levels of fluids. The process involves capturing hyperspectral images, generating spectral signals, and employing a machine learning network to predict the pH of the fluid.
Career Highlights
Dongyi Wang is affiliated with the University System of Maryland, where she continues to advance her research in fluid sensing technologies. Her innovative approaches have garnered attention in the scientific community, contributing to advancements in non-contact sensing methods.
Collaborations
Throughout her career, Dongyi has collaborated with notable colleagues, including Yang Tao and Robert Vinson. These partnerships have further enhanced her research and development efforts in the field.
Conclusion
Dongyi Wang's contributions to fluid sensing technologies exemplify her innovative spirit and dedication to advancing scientific knowledge. Her patents reflect her commitment to improving non-contact sensing methods, making significant strides in the field.