Sayed Abdullah Sadat is a Ph.D. candidate in Electrical and Computer Engineering at the University of Utah. His research interests lie at the intersection of power engineering, operations research, economics, high-performance computing, and artificial intelligence. Specifically, he works on power system optimization, transmission system operation, and tool development for power system operations, electricity markets, energy systems, and the smart grid. You can read more about him, his projects, and publications for a detailed description of his background, current research interests and active research projects.

Updates

Intel AI certificate

This week, Sayed Abdullah hasd complete AI From the Data Center to the Edge - An Optimized Path Using Intel® Architecture course. The course takes a hands-on approach to help understand the data science workflow, use Intel’s AI portfolio of processors and optimized software, and apply them to the challenge that are being faced. The course uses an enterprise image classification problem and provides lectures for each stage in the process, accompanied by Jupyter notebooks that walk you through the implementation.

Provisional PAtent Filed

Last week the University of Utah filed our first provisional patent with the United States Patent and Trademark Office. Together with the notable neurologist Dr. Singleton and his student, Sayed Abdullah has developed an instrument that can be used for the screening and severity examination of neuropathy. The device will bring down the cost from ~$10,000 (existing technology) to just ~$10 while providing higher accuracy of diagnosis. Neuropathy, when identified in its early stages, can be treated. The invention is expected to ultimately impact more than 50 million Americans who are at increased risk of neuropathy.

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