Naila Aslam

Papers

Total Citations

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About

Naila Aslam is a researcher whose work lies at the intersection of digital image processing and intelligent transportation systems. Her most prominent contribution is the development of an E-Challan system for Lahore, which leverages digital image processing to automate traffic violation detection and enforcement. This work, published in 2021, demonstrates how algorithms from machine learning, computer graphics, and pattern recognition can be harnessed to identify vehicles and infractions from image data, replacing manual, error-prone processes. By applying these techniques to a real-world urban challenge, Aslam’s research addresses critical needs in traffic management and smart city infrastructure. Though her citation count is currently modest, the practical significance of her E-Challan system underscores its potential for broader adoption and impact. Her work exemplifies how foundational image processing methods can be translated into deployable solutions that improve governance and public safety. Aslam’s focus on applied, context-aware technology positions her as a researcher contributing to the growing field of AI-driven civic systems, with clear pathways for future expansion into more advanced detection and automation frameworks.