Iman Zadeh

Title: Iman Zadeh: Innovator in Language Identification and Graph Data Structures

Introduction

Iman Zadeh is a notable inventor based in Los Angeles, CA. He has made significant contributions to the fields of language identification and data structure augmentation. With a total of 3 patents, his work showcases innovative approaches to complex problems in technology.

Latest Patents

One of his latest patents is titled "Vision-based document language identification by joint supervision." This invention relates to a language identification system that predicts the language and text content of text lines in image-based documents. The system employs a trainable neural network model that integrates multiple neural network models into a single unified architecture. By utilizing both Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), the model processes text lines to derive visual and contextual features, which are then used to predict the language and content of the text lines.

Another significant patent is focused on "Techniques for graph data structure augmentation." In this invention, a computing device receives a set of user documents from which data is extracted to generate a first graph data structure. This structure contains key-value pairs that are classified by a trained model. The invention includes methods for generating new graphs to enhance the model's performance until it meets specific evaluation metrics.

Career Highlights

Iman Zadeh has worked with prominent companies such as Oracle International Corporation and GM Global Technology Operations LLC. His experience in these organizations has contributed to his expertise in developing innovative technologies.

Collaborations

Throughout his career, Iman has collaborated with talented individuals, including Jun Qian and Liyu Gong, who is a woman. These collaborations have likely enriched his work and led to further advancements in his projects.

Conclusion

Iman Zadeh's contributions to language identification and graph data structures highlight his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology and solving complex challenges in the field.