Lik Wong

Title: Innovations of Lik Wong: Pioneering Systems for Time-Series Analysis

Introduction

Lik Wong, based in Union City, CA, has established himself as a prominent inventor with a remarkable portfolio of 63 patents. His work primarily focuses on advancements in computer science and data analysis, contributing significantly to the fields of forecasting and seasonal pattern detection.

Latest Patents

Among his numerous innovations, two of his latest patents involve sophisticated methods for analyzing time-series data. The first patent, titled "Systems and methods for detecting and accommodating state changes in modeling," describes techniques for automatically identifying state changes in computer-generated forecasts. This innovation enables representations of time-series signals to approximate seasonal behaviors, facilitating the selection of values crucial for model training and analytical outputs.

The second patent, "Unsupervised method for classifying seasonal patterns," elaborates on techniques for decomposing time series data to create noise and dense signals. This invention allows for the identification of seasonal patterns from modified sets of time-series data, producing summaries that effectively capture essential trends.

Career Highlights

Throughout his career, Lik Wong has made significant contributions while working at notable organizations, including Oracle International Corporation. His inventions have driven advancements in data processing and analysis, providing tools that enhance decision-making capabilities in various industries.

Collaborations

Working alongside talented professionals has also been a hallmark of Wong's career. Notably, he has collaborated with colleagues such as Nimar Singh Arora and Dustin R. Garvey, contributing to the innovative climate that fosters their collective success in technological advancements.

Conclusion

In summary, Lik Wong's contributions to the field of technology through his patents and collaborative efforts mark him as an influential figure in the domain of time-series analysis and forecasting. His work continues to inspire innovation and advance our understanding of complex data patterns, making a lasting impact on the industry.