Company Filing History:
Years Active: 2018
Title: Innovations of Mehran Maghoumi
Introduction
Mehran Maghoumi is an accomplished inventor based in Oviedo, Florida. He has made significant contributions to the field of synthetic data generation, particularly in the context of time series data. His innovative methods have the potential to enhance recognition accuracy in various applications.
Latest Patents
Mehran Maghoumi holds a patent for a method of generating synthetic data from time series data. This patent focuses on generating realistic variations of handwritten characters, words, sentences, mathematics, and sketches drawn on interactive displays or touch devices. The computationally efficient method is designed to create synthetic data from real data, which can be used to train recognizers and improve recognition accuracy, especially when only a limited number of samples are available. Additionally, the patent discusses a dynamic time warping approach for gesture recognition across various modalities, utilizing limited training samples.
Career Highlights
Mehran Maghoumi is associated with the University of Central Florida Research Foundation, Inc. His work has been instrumental in advancing the field of data generation and recognition technologies.
Collaborations
Some of his notable coworkers include Eugene M Taranta, II and Corey Pittman. Their collaborative efforts contribute to the innovative research environment at the University of Central Florida.
Conclusion
Mehran Maghoumi's contributions to synthetic data generation represent a significant advancement in the field of data recognition. His innovative methods are paving the way for improved accuracy and efficiency in various applications.