Episode

08/15/25: An LLM Agent for Functional Bug Detection in Network Protocols with Mingwei Zheng

Podcast
Boston Computation Club
Published
Aug 15, 2025
Duration seconds
3448
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/bostoncc/episodes/081525-An-LLM-Agent-for-Functional-Bug-Detection-in-Network-Protocols-with-Mingwei-Zheng-e36tifk
Audio
https://anchor.fm/s/5eee01ac/podcast/play/106923956/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-7-15%2Fa05a8458-c55c-2713-9b94-0479d097aafd.m4a
JSON
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Markdown
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Summary

Mingwei Zheng a Ph.D. candidate in the Department of Computer Science at Purdue University , advised by Prof. Xiangyu Zhang since 2021. Before that, she received her Bachelor’s degree in Computer Science and Technology from Huazhong University of Science and Technology in 2020. Mingwei's research lies at the intersection of Large Language Models (LLMs) and Software Engineering. She builds LLM agents that combine program analysis with LLMs for deep codebase understanding that improve software correctness, robustness, and trustworthiness. Today Mingwei joined us to discuss some ongoing work which she previously presented at IEEE Security and Privacy LangSec, applying language models to bug detection in protocols with IETF RFCs. This was a great talk with deep, technical content and a good conversation. We hope you enjoy!