Maik Goergens

Title: Maik Goergens: Innovator in Time Series Analysis

Introduction

Maik Goergens is a notable inventor based in Jena, Germany. He has made significant contributions to the field of time series analysis through his innovative methods and systems. With a total of 2 patents, Goergens has established himself as a key figure in data processing technologies.

Latest Patents

Goergens' latest patents include a method, data processing program, and computer program product for time series analysis. This invention focuses on techniques for analyzing time series data that exhibit trends and seasonality. The model parameters of the time series data are determined by selecting the most appropriate combination of trend and seasonality based on variance analysis of transformed time series data. Another significant patent involves a method for determining a periodic cycle of time series data. This invention provides a frequency spectrum of the data, which is processed to reduce noise and extract periodic cycles based on the processed frequency spectrum.

Career Highlights

Maik Goergens is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in data processing. His work has been instrumental in advancing the capabilities of time series analysis, making it more efficient and effective for various applications.

Collaborations

Goergens has collaborated with notable colleagues such as Ansgar Dorneich and Andrzej Toroj. Their combined expertise has contributed to the successful development of advanced methodologies in their field.

Conclusion

Maik Goergens is a prominent inventor whose work in time series analysis has led to valuable patents and advancements in data processing technologies. His contributions continue to influence the industry and pave the way for future innovations.