---
title: "Research — Salah Al-Nawah"
canonical: https://salahmyn.me/research/
lang: en
---

# Research — Salah Al-Nawah

> Papers and whitepapers. Each one can be read in the browser or downloaded as a PDF.

- [Cleared the Bar, or Lowered It? An Assurance Lattice for Verifying AI-Generated Software Against Intent](https://salahmyn.me/research/cleared-the-bar/) — Preprint · Oct 2026 · [PDF](https://salahmyn.me/papers/cleared-the-bar-assurance-lattice.pdf)
  Coding agents can turn every check green by quietly weakening the requirement. This paper sets out a theory of assurance that tells a bar that was cleared from a bar that was lowered.
- [Development of Real-Time Vehicle's Plate Number Recognition System Using Deep Learning Approach for Surveillance System in Malaysia](https://salahmyn.me/research/real-time-plate-recognition-malaysia/) — Paper · Nov 2022 · [PDF](https://salahmyn.me/papers/real-time-plate-recognition-deep-learning-malaysia.pdf)
  A mobile system that detects and reads Malaysian license plates in real time with deep learning, built for vehicle surveillance in moving, poorly lit, complex scenes.
- [License Plate Recognition Techniques: Comparative Study](https://salahmyn.me/research/license-plate-recognition-techniques/) — Paper · Dec 2021 · [PDF](https://salahmyn.me/papers/license-plate-recognition-techniques-comparative-study.pdf)
  A survey of how license plate recognition systems work, comparing traditional computer vision with deep learning on accuracy, performance, strengths and weaknesses.