Google Grant for A. Elnaggar and M. Heinzinger


Ahmed Elnaggar (l.), Michael Heinzinger (r.)

Ahmed Elnaggar (Chair for Software Engineering for Business Information Systems, sebis, Prof. Florian Matthes) and Michael Heinzinger (Chair of Bioinformatics/Rostlab, Prof. Burkhard Rost), received a grant from Google through the Covid-19 High Performance Computing (HPC) Consortium for a volunteer research project. This consortium is a unique private-public effort spearheaded by the White House Office of Science and Technology Policy, the U.S. Department of Energy and IBM to bring together federal government, industry and academic leaders from around the world who are volunteering free compute time and resources in support of COVID-19 research on their world-class machines. Researchers are invited to submit COVID-19 related research proposals to the consortium via an online portal, which will then be reviewed for matching with computing resources from one of the partner institutions.
The joint effort from Ahmed Elnaggar and Michael Heinzinger at the Chairs of Prof. Rost and Prof. Matthes provides a new method to accelerate Covid-19 research through deep learning by using self-supervised learning and transfer learning methods. This work will support the effort to find a vaccine and personalized treatment for the Covid-19 virus. Matching with the efforts of Google they will receive a grant worth 4.5 Million $ in two phases - the biggest grant that Google gave so far in the framework of the Covid-19 HPC Consortium. The first results to be shared with Google are expected for the end of August 2020, and the project will be finalized by the end of November 2020.

More information about the Covid-19 HPC Consortium
Project abstract