NSF backs first community platform for smarter wireless
Rice University wireless researchers have received a $1.5 million National Science Foundation (NSF) grant to develop an open-source platform to meet the urgent need of developing and validating machine-learning (ML) based innovations for future wireless networks and mobile applications.
The goal of the project led by Yingyan Lin, an assistant professor of electrical and computer engineering at Rice’s Brown School of Engineering, is to develop a first-of-its-kind community platform to turbocharge the research process of inventing novel ML-based techniques for intelligent wireless network management and optimization.
The project team includes Rahman Doost-Mohammady, Joe Cavallaro, Ang Chen and Ashutosh Sabharwal at Rice, and Atlas Wang at TAMU.
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