Meah Tahmeed Ahmed

PhD Candidate in Computer Science | Software Security Researcher

University of Texas at Dallas

I research software security with a focus on fuzz testing, static analysis, and variability-aware testing. My work aims to improve software reliability and security through automated testing techniques.

Research & Publications

Accepted

Variability Aware Fuzzing

Meah Tahmeed Ahmed, Arnab Dev, Shiyi Wei

International Conference on Software Engineering (ICSE), 2026

Under Review

Empirical Study of Static Analysis-Based Variability Bug Detection

Austin Mordahl, Zachary Patterson, Mohammad Rafieian, Meah Tahmeed Ahmed, Paul Gazzillo, Shiyi Wei

Under Review

Evaluating Fuzzing Mechanisms Using Internal State Variables

Zenong Zhang, Meah Tahmeed Ahmed, Shiyi Wei

Best Student Paper

Hallucination Detection in Large Language Models Using Diversion Decoding

Basel Abdeen, S. M. Tahmid Siddiqui, Meah Tahmeed Ahmed, Anoop Singhal, Latifur Khan, Punya Parag Modi, Ehab Al-Shaer

Data and Applications Security and Privacy (DBSEC), Gjovik, Norway, 2025

doi: 10.1007/978-3-031-96590-6_7

Published

HealthChain: A Blockchain-Based Framework for Health Record Management System

Mashiat Amin Farin, Sampad Sikder, Ashabul Yamin Raad, Meah Tahmeed Ahmed, Tahlil Tahlil

Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB), 2025

doi: 10.1109/WETSEB66605.2025.00010

Published

Unlocking DeFi Literacy: Understanding NFT Market Microstructure in the Decentralized Finance Landscape

Sampad Sikder, Mashiat Aamin Farin, Md Ariful Islam, Tahlil Tahlil, Meah Tahmeed Ahmed

IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Dublin, Ireland, 2024

doi: 10.1109/ICBC59979.2024.10634338

Experience

Graduate Research Assistant

University of Texas at Dallas

Aug 2023 - Present
  • Invented a data and configuration co-execution algorithm to integrate variability-aware execution and analysis to fuzz testing
  • Mentored 5 masters and undergraduate student researchers in projects related to fuzz testing and configuration generation
  • Lectured in undergraduate and masters courses to teach about compiler design and software maintenance
  • Discovered vulnerabilities in commonly used open source software across domains such as C libraries, browsers, networks

Software Development Engineer Intern

Amazon Web Services

May 2023 - Aug 2023
  • Improved CI/CD pipeline for AWS Amplify CLI tool using AWS CloudWatch and TypeScript, saving $5,000 per month
  • Migrated end-to-end tests to AWS CodeBuild, achieving 90% code coverage while increasing testing speed by 40%
  • Executed APIs using AWS Lambda for data collection to retrieve build information and test results, saving 4 hours per week

Software Development Engineer Intern

Amazon.com Inc

Aug 2022 - Dec 2022
  • Designed React (TypeScript) webapp to configure resources for all team owned APIs, reducing time cost by 15 hours each sprint
  • Developed APIs via AWS Lambda using Java to automate data collection and analysis for more efficient resource allocation
  • Automated resource allocation for all dependencies upon update of an API's resources, reducing ticket count by 5% each sprint

Software Engineer Intern

NCR Corporation

May 2022 - Aug 2022
  • Deployed testing suite for POS application (Xamarin, C#, .NET) to auto-generate testcases, reducing testing time by 15% per sprint
  • Initiated auto UI testing scheduler into CI/CD pipeline, reducing workload by 20% per testing session for each QA tester
  • Refactored legacy code with multiprocessing Python and Bash scripts in internal hypervisors for faster test environment setup

Research Assistant

Big Data Analytics and Management Lab at UT Dallas

Aug 2021 - Dec 2022
  • Analyzed large datasets of political tweets to pre-train and finetune BERT model to identify bias creating political actors
  • Adapted web crawler using Python to extract data of different cyber security attack techniques from the MITRE repository
  • Simulated IBM Sysflow to collect data on security attacks of controlled vulnerabilities on Docker containers

Contact

I'm always open to discussing research collaborations, opportunities, or just having a conversation about software security and fuzz testing!

meah.ahmed@utdallas.edu
(940) 279-3195
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Google Scholar