This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Dhawal Dilip Parkar: Innovator in Time Series Data Processing
Introduction
Dhawal Dilip Parkar is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of data processing, particularly in the area of time series datasets. His innovative approach has led to the development of techniques that enhance the efficiency and accuracy of machine learning systems.
Latest Patents
Dhawal holds a patent for "Dynamically controlled processing of time series datasets based on the detection of stationary time series grains." This patent describes techniques that dynamically control select functions applied to time series datasets. The system selectively applies functions, such as differencing, based on the detection of stationary time series grains. By doing so, it can improve the accuracy and efficiency of systems that utilize time series data.
Career Highlights
Dhawal is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work focuses on enhancing data processing techniques, which are crucial for various applications in machine learning and data analysis.
Collaborations
Dhawal has collaborated with notable colleagues, including Nazmiye Ceren Abay and Nikolay Sergeyevich Rovinskiy. These collaborations have contributed to the advancement of his research and the successful implementation of his patented technologies.
Conclusion
Dhawal Dilip Parkar is a prominent figure in the field of time series data processing, with a patent that showcases his innovative techniques. His work at Microsoft Technology Licensing, LLC, along with his collaborations, highlights his commitment to advancing technology in this critical area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
