Metadata
Title
Conversational AI for wireless networks
Category
undergraduate
UUID
2d7ebf343eff414fa10688a937f86dad
Source URL
https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-resear...
Parent URL
https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-resear...
Crawl Time
2026-03-24T05:48:32+00:00
Rendered Raw Markdown

Conversational AI for wireless networks

Source: https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-research/honors-research/2025/kumar-conversational-ai-for-wireless-networks.html Parent: https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-research/honors-research/ece.html

This project seeks to leverage conversational AI and large-language models (LLMs) to assist automated analysis of wireless network configuration from a security perspective. Given the wide range of security threats, possible configurations, and the inherent heterogeneity of wireless network infrastructure in enterprises, particularly Internet of Things (IoT) wireless devices, we believe the use of automation is essential in simplifying analysis that would otherwise be cumbersome if performed manually. The project will develop solutions for conversational AI to ease and automate configuration of enterprise wireless networks, particularly IoT and manufacturing networks.