Negin Sokhandan Asl

Title: Negin Sokhandan Asl: Innovator in Image Analysis and Text Prediction

Introduction

Negin Sokhandan Asl is a prominent inventor based in Montreal, Canada. He has made significant contributions to the fields of image analysis and text prediction, holding a total of four patents. His innovative work focuses on developing systems that enhance the identification of anomalies in images and improve text detection within visual data.

Latest Patents

Negin's latest patents include groundbreaking technologies such as "Continuous training methods for systems identifying anomalies in an image of an object." This patent describes a system that is trained using various sets of images to identify different types of anomalies. The process involves creating a model of the object in a latent space and calculating log-likelihood losses for each anomaly type. Another notable patent is "Automatically predicting text in images," which outlines systems and methods for detecting and predicting text within images. This technology utilizes a feature-extraction module to generate feature maps that indicate text objects, which are then processed by a decoder module to predict sequences of characters.

Career Highlights

Throughout his career, Negin has worked with notable companies such as ServiceNow Canada Inc. and Element AI Inc. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in artificial intelligence and machine learning.

Collaborations

Negin has collaborated with various professionals in his field, including his coworker Perouz Taslakian, who has also made significant contributions to their shared projects.

Conclusion

Negin Sokhandan Asl is a visionary inventor whose work in image analysis and text prediction continues to push the boundaries of technology. His patents reflect a commitment to innovation and excellence in his field.