This inventor holds 1 USPTO granted patent. Top assignee: Washington State University. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Ahmed Aboutaleb: Innovator in Deep Neural Networks
Introduction
Ahmed Aboutaleb is a prominent inventor based in Pullman, WA (US). He has made significant contributions to the field of deep neural networks, particularly in the context of magnetic recording technologies. His innovative work has implications for improving data storage and retrieval processes.
Latest Patents
Ahmed Aboutaleb holds a patent titled "Deep neural network a posteriori probability detectors and media noise predictors for one- and two-dimensional magnetic recording." This patent introduces a deep neural network (DNN) media noise predictor designed for one-dimensional magnetic recording (1DMR) and two-dimensional magnetic recording (TDMR). The architecture combines a trellis-based intersymbol interference (ISI) detection component in a turbo architecture. This approach effectively separates ISI detection and media noise estimation into two distinct detectors. By utilizing the turbo-principle, the system exchanges information between the detectors, addressing modeling challenges through training DNN-based media noise estimators. The benefits of this innovation include a reduced bit-error rate (BER), increased areal density, and a decrease in both computational complexity and time.
Career Highlights
Ahmed Aboutaleb is affiliated with Washington State University, where he continues to advance research in neural networks and magnetic recording technologies. His work has garnered attention for its potential to enhance data storage solutions.
Collaborations
Ahmed has collaborated with notable colleagues, including Krishnamoorthy Sivakumar and Jinlu Shen. Their combined expertise contributes to the innovative research environment at Washington State University.
Conclusion
Ahmed Aboutaleb is a key figure in the development of advanced neural network technologies for magnetic recording. His contributions are paving the way for more efficient data storage solutions.