Company Filing History:
Years Active: 2023
Title: Innovations of Mohammad Taha Bahadori
Introduction
Mohammad Taha Bahadori is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of data analysis and machine learning. His innovative work focuses on techniques for handling irregular time series data, which is crucial for various applications in technology and research.
Latest Patents
Bahadori holds a patent titled "Temporal-clustering invariance in irregular time series data." This patent describes techniques for generating multiple resolutions of time series data. The process involves obtaining an input irregular time series with a plurality of data points, each containing a timestamp and a feature vector. Based on this input, multiple variant time series are generated, where a data point in one of the variant series is derived from a combination of at least two data points from the original series. These multiple variant time series can be utilized for machine learning tasks, such as training models or inferring outputs.
Career Highlights
Bahadori is currently employed at Amazon Technologies, Inc., where he applies his expertise in data science and machine learning. His work at Amazon has allowed him to explore innovative solutions to complex data challenges.
Collaborations
He has collaborated with notable colleagues, including David Earl Heckerman and Zachary Chase Lipton. Their combined efforts contribute to advancing the field of machine learning and data analysis.
Conclusion
Mohammad Taha Bahadori's contributions to the field of irregular time series data and machine learning demonstrate his innovative spirit and dedication to advancing technology. His work continues to influence the way data is analyzed and utilized in various applications.