Hung-yang Chang

Title: Innovations of Hung-yang Chang

Introduction

Hung-yang Chang is a notable inventor based in Yorktown Heights, NY (US). He has made significant contributions to the field of data processing, holding a total of five patents. His work focuses on non-intrusive event-driven prediction methods that enhance the efficiency of data processing environments.

Latest Patents

One of Hung-yang Chang's latest patents is titled "Non-intrusive event-driven prediction." This invention provides a method for predicting a metric in a data processing environment without intrusive measures. The process involves observing a set of events generated by multiple processes, tracking a subset of these events over an observation period, and detecting patterns in the bookkeeping information. A prediction model is then selected and executed to generate a predicted value of the metric based on the identified patterns.

Career Highlights

Hung-yang Chang is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to develop innovative solutions that address complex challenges in data processing.

Collaborations

Some of his notable coworkers include Norman Howard Cohen and Richard Allen Floyd. Their collaboration has contributed to the advancement of technologies in their respective fields.

Conclusion

Hung-yang Chang's contributions to the field of data processing through his innovative patents demonstrate his expertise and commitment to advancing technology. His work continues to influence the industry and pave the way for future innovations.