Tse-Han Huang

Title: Tse-Han Huang: Innovator in Seasonal Pattern Analysis

Introduction

Tse-Han Huang is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of data analysis, particularly in the area of seasonal pattern determination. His innovative approach has led to the development of techniques that enhance the understanding of seasonal behaviors in time-series data.

Latest Patents

Tse-Han Huang holds a patent for "Seasonality validation and determination of patterns." This patent describes techniques for analyzing a set of time-series data to identify seasonal behaviors. The process involves generating multiple patterns that approximate data points representing the same sub-period across various instances of a season. By analyzing other instances of the season, the techniques determine whether parts of the generated patterns are detected, allowing for responsive actions based on these findings. He has 1 patent to his name.

Career Highlights

Tse-Han Huang is currently employed at Oracle International Corporation, where he applies his expertise in data analysis and pattern recognition. His work at Oracle has positioned him as a key player in developing innovative solutions that leverage data for better decision-making.

Collaborations

Throughout his career, Tse-Han Huang has collaborated with talented individuals such as Arvind Kumar Maheshwari and Raghav Ravichandran. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Tse-Han Huang's contributions to seasonal pattern analysis exemplify the impact of innovative thinking in data science. His patent and work at Oracle International Corporation highlight his commitment to advancing technology and improving data analysis techniques.