Company Filing History:
Years Active: 2025
Title: Innovations by Farnaz HajiahmadiFoomani
Introduction
Farnaz HajiahmadiFoomani is an accomplished inventor based in Boulder, CO. He has made significant contributions to the field of print technology through his innovative patent. His work focuses on enhancing the maintenance and efficiency of printheads, which are crucial components in printing systems.
Latest Patents
Farnaz holds a patent titled "Printhead maintenance for recommending printhead replacement." This invention involves systems and methods for recommending the replacement of printheads. In this embodiment, a system trains a first neural network to generate anomaly scores for printheads using an unsupervised learning algorithm based on first training samples of conforming printhead data from a pool of conforming printheads. The system generates a training dataset for a recurrent second neural network by identifying training printhead data for a pool of training printheads, inputting second training samples of the training printhead data into the first neural network to generate training anomaly scores for the training printheads over a plurality of time units, and formatting third training samples for the training printheads. The system trains the recurrent second neural network to generate scaled anomaly scores for printheads using a supervised learning algorithm based on the second training dataset. Farnaz's innovative approach aims to improve the reliability and performance of printing systems.
Career Highlights
Farnaz is currently employed at Ricoh Company, Ltd., where he continues to develop cutting-edge technologies in the printing industry. His expertise in neural networks and machine learning has positioned him as a valuable asset to his team.
Collaborations
Farnaz collaborates with Ziling Zhang, who is also a key contributor in their projects. Their combined efforts enhance the research and development initiatives at Ricoh Company, Ltd.
Conclusion
Farnaz HajiahmadiFoomani's contributions to print technology through his innovative patent demonstrate his commitment to advancing the field. His work not only improves printhead maintenance but also showcases the potential of machine learning in practical applications.