Aschaffenburg, Germany

Roland Krivànek

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: **Roland Krivànek: Innovator in Data Smoothing Methodology**

Introduction

Roland Krivànek, an inventive mind hailing from Aschaffenburg, Germany, has made significant contributions to the field of data processing. With a focus on developing methods that enhance the accuracy of data interpretation, he stands out as a notable inventor with a patented innovation.

Latest Patents

Krivànek's patent, titled "Method and apparatus for determining a smoothed data point within a stream of data points," presents a cutting-edge approach to data smoothing. This innovation addresses the challenge of processing data streams that may contain invalid or missing values. The method outlines a systematic approach to ensure that smoothed data points are computed effectively, even in the presence of large gaps. By creating a smoothing set for each data point and employing exponential smoothing techniques, Krivànek's method minimizes distortions while retaining accuracy and responsiveness, making it particularly useful in real-time data applications.

Career Highlights

Currently, Roland Krivànek is affiliated with Eyesense AG, a company known for its advancements in data technology. Throughout his career, Krivànek has dedicated himself to improving data acquisition and processing methodologies, paving the way for more reliable measurements across various applications.

Collaborations

In his professional journey, Krivànek has collaborated with notable colleagues, including Frank Küster and Achim Müller. Their collective expertise contributes to a dynamic work environment at Eyesense AG, fostering innovation and the development of new technologies.

Conclusion

Roland Krivànek exemplifies the spirit of innovation through his contributions to data smoothing techniques. His patented method not only enhances the reliability of data interpretation but also showcases the potential for advancements in real-time measurement systems. As he continues to work alongside talented professionals, Krivànek's impact on the field of data processing is poised to grow ever more significant.

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