Phornsawan "Minmin" Roemsri

Lubbock, TX 79409 | phornsawan.roemsri@ttu.edu

SUMMARY

Computer Science Ph.D. candidate (defense Oct. 2026) with eight first-author peer-reviewed publications in cybersecurity and data visualization. Builds end-to-end systems: network traffic classification and anomaly detection, HPC monitoring and job-outcome prediction, and interactive visual analytics in D3.js and React. Combines research depth with full-stack delivery in Python, TypeScript, and SQL.

EDUCATION

Texas Tech University, Lubbock, TX — Expected Dec. 2026

Doctor of Philosophy, Computer Science

Dissertation: Data-Driven Cybersecurity for Connected Devices: Traffic, Provenance, and Behavioral Threat Detection

Advisor: Susan A. Mengel, Ph.D.

TECHNICAL SKILLS

Python | JavaScript | TypeScript | R | SQL | HTML/CSS | D3.js | React | Next.js | MySQL | Linux | Git | Slurm/HPC | Machine learning | Data visualization | Network traffic analysis | Microsoft Office

RESEARCH AND TECHNICAL EXPERIENCE

Graduate Research Assistant, Texas Tech University, Lubbock, TX

  • Built a monitoring and analytics pipeline for the REPACSS HPC cluster that ingests Slurm job state, node telemetry, and power data, enabling job-outcome prediction and operational forensics.
  • Developed a JWST NIRCam photometry and frame-quality pipeline (program PID 1666) that flags degraded frames automatically, producing eclipse-timing measurements for an astronomy collaboration and a manuscript in preparation.
  • Designed interactive visual analytics tools in D3.js and React for IoT attack-behavior data, letting analysts trace multi-stage attack sequences that summary statistics obscured.
  • Engineered passive traffic-fingerprinting and behavioral detection methods for IoT device identification and crypto ransomware, published across four peer-reviewed conferences.

SELECTED PUBLICATIONS

Eight first-author peer-reviewed publications; four selected below.

  1. Roemsri, P., & Dang, T. (2023). Visualization of attack behavior data in IoT network traffic. Int. Conf. on Big Data and Smart Information Computing (BDSIC).
  2. Roemsri, P., Puangpontip, S., & Hewett, R. (2023). On detecting crypto ransomware attacks. Int. Conf. on Information and Computer Technologies (ICICT).
  3. Roemsri, P., & Hewett, R. (2021). Device identification for IoT security. Int. Conf. on Signal and Image Processing (ICSIP).
  4. Roemsri, P., & Hewett, R. (2020). Provenance location-based authentication in cloud computing. Int. Conf. on Advances in Information Technology (IAIT).

PROJECTS

JobNet — HPC cluster monitoring dashboard

  • Next.js and React dashboard visualizing Slurm cluster state, job flow, and node metrics, including a radial network view of job-to-node allocation.

SOJ guild management system

  • Full-stack roster, attendance, and event-scheduling system serving an active user community, with Thai-language data handling end to end.

LANGUAGES

Thai (native) | English (professional working proficiency)