Spreading research around the world: Developing machine learning models on satellites
Posted by Kimber Crull
Dr. Mohamed Elmahallawy presents a paper at the Institute of Electrical and Electronics Engineers’ International Conference on Pervasive Computing and Communications March 13 in Biarritz, France. Photo courtesy of Elmahallawy.
Dr. Mohamed Elmahallawy, a postdoctoral fellow in computer science, has presented and published 11 articles at global conferences and journals, including in Japan, Singapore, Italy, Malaysia, France and the U.S. His research focuses on collaborative machine learning models trained on low Earth orbit (LEO) satellites while ensuring image privacy.
Elmahallawy’s latest paper, titled “Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning,” presented at the Institute of Electrical and Electronics Engineers’ International Conference on Pervasive Computing and Communications, was nominated for the best paper award.
Elmahallawy received the College of Engineering and Computing Dean’s Award for high research activity this year. In May, he earned his Ph.D. under Dr. Tony Luo, associate professor of computer science. His work addresses challenges like security, privacy, limited bandwidth, and satellite visibility in traditional LEO satellite data transfer.
Posted by Kimber Crull
