About me
Muhammad Almas Khan holds an MPhil in Computer Science from Quaid i Azam University Islamabad (QAU). He is a logical and inquisitive problem-solver, recently awarded Best Paper at Advances on Smart and Soft Computing proceedings of ICACIn 2021. He authored and actively maintains ncpy, an open-source Python library for numerical computations, offering clear and accessible implementations of essential numerical methods. The project is continuously evolving with releases available on PyPI and source code hosted on GitHub. Muhammad currently working as a lecturer at FAST National University of Computer and Emmerging Sciences (FAST-NUCES), his research focuses on IoT security, with a strong interest in Machine Learning and broader computer science challenges.
Research interests
1. IoT Security
- Researching in IoT security, using machine learning to make connected devices safer from cyber threats, for more you can access my articles (here). I aim to enhance IoT security by conducting innovative research at the intersection of cybersecurity and connected systems
2. Network Science
- Fascinated by network science, I study system dynamics to uncover patterns behind emergence and design effective solutions using different tools like Gephi, networksx etc.