Usman Ahmad

Assistant Professor
  • Department Of AI & Data Science
  • usman.ahmad@nu.edu.pk
  • (041) 111-128-128
  • Ext: 179

Introduction

Usman Ahmad completed his Postdoctoral Research at Jiangsu University, China (April 2023 – April 2025), where he focused on leveraging Machine Learning, and Artificial Neural Networks to address security challenges in Autonomous Vehicles and the Internet of Things (IoT). He holds a Ph.D. in Software Engineering from the Beijing Institute of Technology, China, where his doctoral research centered on securing IoT devices using machine learning. He has served as an Assistant Professor and Lecturer, supervising Master’s and Bachelor’s students across various computing disciplines. His professional background also includes roles in the software industry as a Senior Software Engineer and Assistant Manager in IT, where he contributed to major software development projects. Dr. Ahmad has received several honors, including the Jiangsu Province Excellent Postdoctoral Program Grant (2023), the Chinese Government Scholarship (CSC), and a University Scholarship during his Bachelor’s studies. An HEC-approved supervisor, he has guided multiple student projects. His research interests include AI-driven cybersecurity, IoT security, intelligent transportation systems, and smart mobility solutions.

Education

Ph.D. in Software Engineering, Beijing Institute of Technology, China
M.S. in Computer Science, University of Engineering and Technology (UET), Pakistan
B.S. in Software Engineering, Government College University Faisalabad (GCUF), Pakistan

Publications

  1. Ahmad Usman, Mu Han, Wenyi Zheng, Shahid Mahmood, “Multi Level Artificial Neural Tree Approach with Signature Database Integration for Textual and Image Data “, Scientific Reports, 2025 (Accepted).
  2. Ahmad Usman, Mu Han, Shahid Mahmood, “AI-Enhanced threat analysis and risk assessment for connected and autonomous vehicles”, Software Quality Journal 33, 26 (2025).
  3. Ahmad Usman, Mu Han, Alireza Jolfaei, Sohail Jabbar, Muhammad Ibrar, Aiman Erbad, Houbing Song, Yzeed, “A Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning”, IEEE Transactions on Intelligent Transportation Systems, 2024, (JCR IF: 7.9).

Collaborations at National and International Level

Detail of Funded Projects