Peng wins grant for work in network analytics tools in wireless systems - Department of Computer Science - Purdue University Skip to main content

Peng wins grant for work in network analytics tools in wireless systems


Associate Professor Chunyi Peng

State-of-the-art wireless and mobile technologies, such as Wi-Fi and 4G LTE/5G, have enabled billions of global users to access the internet “anywhere, anytime”. The recent surge in artificial intelligence (AI) and machine learning (ML) techniques has further promised to enhance networking technologies. 

Associate Professor Chunyi Peng won a grant from Amateur Radio Digital Communications (ARDC) for her project, Network Analytics Tools for Understanding Wireless Systems. This grant will fund Purdue researchers studying ways to improve education and empower technical innovations in wireless and mobile networking technologies in the age of AI.
The funded work, led by Peng, is to build ready-to-use, easy-to-understand, wireless network analytics tools for the purpose of education and technical innovation in digital communications. Building on Peng's recent success with MobileInsight and MI-LAB, the goal is that these tools will help students and researchers quickly understand and develop innovative software-defined wireless technologies using AI techniques. The grant will fund several extensions to Chunyi’s work titled, MobileInsight and also to MI-LAB, allowing for a wider range of wireless technologies, including Wi-Fi and 5G/4G cellular technologies. The tools will be open-source and freely available to the public.
Peng is an Associate Professor in the Department of Computer Science at Purdue University. She leads the Mobile System, Security and Networking (MSSN) lab. Her research interests are in the broad areas of mobile networking, system and security, with a recent focus on innovating 5G/6G mobile network architecture/protocol/technologies for performance and reliability, mobile network analytics, network verification, network security and efficient visual sensing and computing for IoTs.

Last Updated: Nov 12, 2021 4:07 PM

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