Atiqur Rahman

Title: Innovations of Atiqur Rahman

Introduction

Atiqur Rahman is a notable inventor based in Fremont, CA. He has made significant contributions to the field of deep learning and corrosion detection. With a total of 2 patents, his work focuses on enhancing the capabilities of semantic deep learning models.

Latest Patents

One of his latest patents is titled "Semantic deep learning and rule optimization for surface corrosion detection and evaluation." This invention provides techniques for training a semantic deep learning model, such as a segmentation-enabled CNN model, to detect corrosion and enable its quantitative evaluation. The application includes a training dataset generation tool that can semi-automatically generate a training dataset with images containing labeled corrosion segments. This labeled dataset is then used to train the model to detect and segment corrosion at the pixel level. The application also features an evaluation tool that quantitatively assesses corrosion severity in the semantically segmented output dataset.

Another significant patent by Rahman is "Evolutionary deep learning with extended Kalman filter for modeling and data assimilation." This invention utilizes an enhanced deep belief learning model combined with an extended Kalman filter (EKF) for training and updating a deep belief network (DBN) with new data. This model is particularly useful for making predictions based on various datasets, including data from infrastructure-attached sensors. The EKF estimates operational parameters of the DBN and generates the model's output covariance, while a competent genetic algorithm optimizes the configuration of the DBN model.

Career Highlights

Atiqur Rahman is currently employed at Bentley Systems, Inc., where he continues to innovate in the field of deep learning and infrastructure monitoring. His work has garnered attention for its practical applications in detecting and evaluating corrosion, which is critical for maintaining infrastructure integrity.

Collaborations

Throughout his career, Rahman has collaborated with talented individuals such as Zheng Yi Wu and Rony Kalfarisi. These collaborations have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Atiqur Rahman is a prominent inventor whose work in semantic deep learning and corrosion detection has led to valuable patents. His contributions are essential for improving infrastructure monitoring and maintenance.