开场陈述和简介

Good morning, esteemed committee members. Thank you for being here today. My name is Ava Chen, and I am a doctoral candidate in the Department of Computer Science.

Thank you, Professor Smith. Today, I will be defending my thesis titled 'Optimizing Machine Learning Models for Real-time Anomaly Detection in Network Traffic'.

Certainly, Professor Lee. My research primarily addresses two key questions: Firstly, how can we develop highly accurate and efficient machine learning models for anomaly detection with minimal computational overhead? And secondly, what architectural design principles are crucial for integrating these models into high-throughput network environments?

Regarding the structure of my presentation, I will begin with an overview of the problem, followed by a review of relevant literature. I will then discuss my methodology, present the experimental results, and finally, conclude with a discussion of implications and future work. I anticipate the presentation will take approximately 20 minutes, leaving ample time for questions.