Arbab Khan

Brief Bio

Arbab Khan is a research-oriented computer scientist and lecturer with an MPhil in Computer Science from Xi’an University of Technology (China)

His research focuses on artificial intelligence, video surveillance, and human action recognition using deep learning. Currently, he is a Lecturer at the University of Southern Punjab, Multan where he teaches courses in Computer Networks, Wireless and Mobile Networks, and Information Security.

Mr. Khan has over eight years of practical experience spanning IT management, network engineering, and academic instruction. His recent publications include a security framework for eye disease data, published in the Spectrum of Engineering Sciences (Volume 4, Issue 4, 2026), as well as articles in North American Academic Research and KSII Transactions on Internet and Information Systems.

Fluent in English, Chinese (Mandarin), Arabic, Urdu, Saraiki, and Pashto, he brings a strong cross-cultural and technical perspective to both teaching and research.

Education
Master of Philosophy In Computer Science
Xi’An University of Technology, Xi’an, Shaanxi, China.
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BS Computer Science
University of Southern Punjab
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Professional Experience
Lecturer
University of Southern Punjab, Multan
2025 – Till now
Teacher Assistant
Xi’An University Of Technology, Xi’An, Shaanxi, China.
2023 – 2025
IT Manager
Gulshan Autos Multan
2021 – 2022
IT Assistant/Data Operator
Sustainable Development Policy Institute, Multan
2021 – 2025
IT Supervisor
Proton Zakaria Motors Multan
2020 – 2021

Research Interests

  • Computer Vision
  • Video Surveillance
  • Abnormal Activity Recognition
  • Deep Learning

Current Projects

  • Abnormal action recognition for video surveillance using deep learning and edge computing
  • Action recognition: A review of abnormal actions and activity recognition using deep learning
Title Year Published Link
MetaCheckAI: Cell testing and health solution
2025
Click to view
A robust and scalable security model for eye disease data based on cryptographic and steganographic integration
2026
Click to view

North American Academic Research. (2025). MetaCheckAI: Cell Testing and Health Solution. In North American Academic Research (Vol. 8, Number 5). Zenodo. https://doi.org/10.5281/zenodo.15663896

Arbab Khan, Inzamam Shahzad, Salahuddin, Assad Latif, & Saira Saleem. (2026). A ROBUST AND SCALABLE SECURITY MODEL FOR EYE DISEASE DATA BASED ON CRYPTOGRAPHIC AND STEGANOGRAPHIC INTEGRATION. Spectrum of Engineering Sciences, 4(4), 1693–1712. Retrieved from https://thesesjournal.com/index.php/1/article/view/2621

Teaching & Supervision

Courses:

  • Computer Networks
  • Wireless & Mobile Networks & Security
  • Information Security

Supervision:

  • BS: 22

Teaching Philosophy

My teaching bridges theory and practice in computer networks and security through hands-on learning, real-world experience, and research-driven instruction ensuring every student builds both competence and confidence

Collaboration

Contact

Open to all collaborations in Video surveillance and Edge computing.