Hieu Dang

Title: Hieu Dang: Innovator in Optical Coherence Tomography and Machine Learning

Introduction

Hieu Dang is a notable inventor based in Winnipeg, Canada. He has made significant contributions to the fields of optical coherence tomography and machine learning. With a total of two patents to his name, Hieu is recognized for his innovative approaches to complex technological challenges.

Latest Patents

Hieu's latest patents include a "Neural network system for non-destructive optical coherence tomography." This system provides a method for non-destructive optical coherence tomography (OCT) that includes an input interface for receiving OCT data, a processing unit for detecting features on the surface or subsurface of an object, and the use of neural networks to analyze A-scans and B-scans. His second patent, "System and method for increasing data quality in a machine learning process," focuses on enhancing the data quality of datasets for semi-supervised machine learning analysis. This method involves receiving known class label information, determining a data cleanliness factor, and assigning data points to clusters based on clustering parameters.

Career Highlights

Hieu has built a career that emphasizes innovation and technological advancement. His work in developing systems that leverage neural networks showcases his expertise in both optical coherence tomography and machine learning. His contributions have the potential to significantly impact various industries by improving data analysis and imaging techniques.

Collaborations

Hieu collaborates with talented individuals such as Wallace Trenholm and Mark Alexiuk. These partnerships enhance his work and contribute to the development of cutting-edge technologies.

Conclusion

Hieu Dang is a distinguished inventor whose work in optical coherence tomography and machine learning is paving the way for future innovations. His patents reflect a commitment to improving technology and data analysis, making him a valuable asset in his field.