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

A comprehensive survey and tutorial on smart vehicles: Emerging technologies, security issues, and solutions using machine learning, U. Ahmad, M Han, A Jolfaei, S Jabbar, M Ibrar, A Erbad, HH Song, IEEE transactions on intelligent transportation systems 25 (11), 15314-15341, 2024

AI-Enhanced threat analysis and risk assessment for connected and autonomous vehicles, U Ahmad, M Han, S Mahmood Software Quality Journal 33 (3), 26, 2025

A node pairing approach to secure the Internet of Things using machine learning, U Ahmad Journal of Computational Science 62, 101718, 2022

Securing smart vehicles from relay attacks using machine learning, U Ahmad, H Song, A Bilal, M Alazab, A Jolfaei The Journal of Supercomputing 76 (4), 2665-2682, 2020

Enhancing security in connected and autonomous vehicles: a pairing approach and machine learning integration U. Ahmad, M Han, S Mahmood Applied Sciences 14 (13), 5648, 2024

DBVA: Double-layered blockchain architecture for enhanced security in VANET vehicular authentication SA Frimpong, M Han, U Ahmad, O Larbi-Siaw, JK Adjei Computer Communications 232, 108048, 2025

Facial expression recognition of nonlinear facial variations using deep locality de-expression residue learning in the wild A Ullah, J Wang, MS Anwar, U Ahmad, U Saeed, Z Fei
Electronics 8 (12), 1487, 2019

Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer’s disease SS Zareen, N Alzaben, U Ahmad, TM Alam, A Algarni, J Wang Frontiers in Neuroinformatics 20, 1899573, 2026

Securing insulin pump system using deep learning and gesture recognition U. Ahmad, H. Song, A Bilal, S Saleem, A Ullah 2018 17th IEEE International Conference On Trust, Security And Privacy, 2018.

A novel deep learning model to secure internet of things in healthcare U. Ahmad, H Song, A Bilal, S Mahmood, M Alazab, A Jolfaei, A. Ullah Machine intelligence and big data analytics for cybersecurity applications, 2020

 

Collaborations at National and International Level

Detail of Funded Projects