Saurabh Maydeo

University of Texas at Arlington

Department of Computer Science

Arlington, TX

I am a PhD student in Computer Science at the University of Texas at Arlington.

My research focuses on the intersection of Large Language Models (LLMs) and AI Safety. I am particularly interested in:

LLM Security & Safety - Understanding and mitigating vulnerabilities in large language models
Multi-Agent Systems - Designing robust architectures for collaborative AI agents
Coding Agent Safety - Ensuring secure and reliable autonomous code generation
AI Ethics - Exploring the societal implications of advanced AI systems

Before starting my PhD, I worked as a Software Development Engineer at Amazon, where I built backend systems for ad delivery. I also hold a Master’s degree from Georgia State University, where I worked on spatio-temporal data analysis.

I am passionate about building AI systems that are not only powerful but also safe, secure, and aligned with human values.

news

Aug 15, 2024	Started my PhD in Computer Science at the University of Texas at Arlington. Excited to work on LLM Safety and Multi-Agent Systems!

selected publications

IEEE Big Data
Local Outlier Detection for Multi-type Spatio-temporal Trajectories

Xumin Cai, Berkay Aydin, Saurabh Maydeo, and 2 more authors

In IEEE International Conference on Big Data, 2020

Abs Bib

This paper presents a novel approach to detecting local outliers in multi-type spatio-temporal trajectories, with applications in the solar astroinformatics domain.
@inproceedings{cai2020local, title = {Local Outlier Detection for Multi-type Spatio-temporal Trajectories}, author = {Cai, Xumin and Aydin, Berkay and Maydeo, Saurabh and Ji, Anli and Angryk, Rafal}, booktitle = {IEEE International Conference on Big Data}, year = {2020}, organization = {IEEE}, }