Ajman-UAE: While the Novel Coronavirus (Covid-19) has swept the entire world, Ajman University (AU) scholars have made it happen again, and come up with two timely research proposals to better combat the lethal disease.

Microsoft Research Program has approved the two research proposals submitted by Prof. Shaher Momani, Dean, College of Humanities and Sciences, and Prof. Samir Hadid, a professor at the Department of Mathematics and Science, AU.

AU scholars have been each awarded $100,000 USD in Azure credits, covering a period of 12 months for their research proposals that have been submitted under the AI for Health program for Covid-19 grant proposals.

“The $200,000 USD in Azure credits; $100,000 USD per proposal, shall be consumed in access to Microsoft AI, technical experts, data scientists, and other resources from Microsoft,” Prof. Momani said.

Prof. Momani, recognized as one of the world's most influential researchers according to Clarivate Analytics, said his project deals with mathematical modeling of the pandemic coronavirus outbreak through fractional derivatives.

“Prof. Hadid’s project focuses on the fractional calculus approach for the detection and segmentation of Covid-19 in CT Lung Scan.”

The two researchers will later sign a Memorandum of Understanding in Washington D.C. to set forth the terms of agreement between Ajman University and Microsoft Corporation.

Send us your press releases to pressrelease.zawya@refinitiv.com 

© Press Release 2020

Disclaimer: The contents of this press release was provided from an external third party provider. This website is not responsible for, and does not control, such external content. This content is provided on an “as is” and “as available” basis and has not been edited in any way. Neither this website nor our affiliates guarantee the accuracy of or endorse the views or opinions expressed in this press release.

The press release is provided for informational purposes only. The content does not provide tax, legal or investment advice or opinion regarding the suitability, value or profitability of any particular security, portfolio or investment strategy. Neither this website nor our affiliates shall be liable for any errors or inaccuracies in the content, or for any actions taken by you in reliance thereon. You expressly agree that your use of the information within this article is at your sole risk.

To the fullest extent permitted by applicable law, this website, its parent company, its subsidiaries, its affiliates and the respective shareholders, directors, officers, employees, agents, advertisers, content providers and licensors will not be liable (jointly or severally) to you for any direct, indirect, consequential, special, incidental, punitive or exemplary damages, including without limitation, lost profits, lost savings and lost revenues, whether in negligence, tort, contract or any other theory of liability, even if the parties have been advised of the possibility or could have foreseen any such damages.