Xin's CV

Education

• Ph.D in Computer Science with Software Security focus, University of Houston, Dec 2022 (Withdrew)
• M.S. in Computer Science with Data Analytics track, University of Houston, 2019
• B.S. in Computer Science with Math minor, University of Houston, 2017

Work experience

• Jan 2023 - Present: ML/AI Engineer
  • The MITRE Corporation
  • Austin, Texas, United States
• Jun 2019 - Dec 2022: Research & Development Cybersecurity (Year-round Intern)
  • Sandia National Laboratories
  • Albuquerque/Remote, New Mexico, United States
• Jan 2021 - Dec 2022: Instructional Assistant/Research Assistant
  • University of Houston
  • Houston, Texas, United States
• May 2017 - Aug 2017 && Mar 2018 - Aug 2018: Web Developer
  • PopuBand Music Inc.
  • Houston, Texas, United States
• Jan 2016 - Aug 2017: Undergraduate Research Assistant
  • University of Houston
  • Houston, Texas, United States

Publications

Phishing Sites Detection from a Web Developer’s Perspective Using Machine Learning

Xin Zhou, Rakesh M. Verma. "Phishing Sites Detection from a Web Developer’s Perspective Using Machine Learning" Proceedings of the 53rd Hawaii International Conference on System Science, 2020.

Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models

Alexis Cooper, Xin Zhou, Scott Heidbrink, Daniel M Dunlavy. "Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models. " arXiv, 2020.

PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing

Victor Zeng, Xin Zhou, Shahryar Baki, Rakesh M Verma. " PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. " Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security.

Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection

M. Smith, S. Verzi, N. Johnson, X. Zhou, K. Khanna, S. Quynn, and R. Krishnakumar.. " Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection " IEEE International Conference on Big Data, 2021 .

Vulnerability Detection via Multimodal Learning: Datasets and Analysis

Xin Zhou, Rakesh M Verma. " Vulnerability Detection via Multimodal Learning: Datasets and Analysis " AsiaCCS, 2022 .

Service and leadership

• Fall 2020 - May 2021: President of Ethical Hacking Club