Biography
I am Mujeeb Ur Rehman, and I hold a position as a Lecturer at York St John University, Department of Data Science. My research focus during my Ph.D. was on Artificial Intelligence and Cybersecurity.
Prior to my current position, I served as a researcher in the James Watt School of Engineering at the University of Glasgow, UK. With over 10 years of experience, I am an experienced educator with cutting-edge teaching and research expertise in AI, Machine Learning, Cybersecurity, and IoT, having worked in academic, research, and industry environments. I have taught numerous industry-relevant courses, including Artificial Intelligence, Machine Learning, Neural Networks, AI for Cybersecurity, Programming for Cybersecurity, Cryptography, Computer Systems, and Mathematics for Computing.
As a supervisor, I have overseen several dissertations from PhD, MSc, and undergraduate students. My contribution to the research community includes co-authoring more than 28 research papers, published in leading international journals and peer-reviewed international conference proceedings. In recognition of my contributions to the field of Artificial Intelligence and Cybersecurity, I was awarded the Global Talent status by the UK Research and Innovation Body and the Royal Academy of Engineering in 2022.
Research Interest
Machine & Deep Learning, Cryptography, Information Security, Multimedia Encryption and Chaos Theory, AI-Based Non-Invasive Healthcare Framework.

Editor
Work Details
Lecturer
York St John University
School of Science Technology & Health
United Kingdom
Contribution by Topic Area
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Which articles are now trending?
Research Articles
- EB Naevi-like Lesion in Infant Bullous Pemphigoid
- Physical Activity and Lifestyle of Female Students of the Faculty of Health Sciences University of Applied Sciences in Tarnów (Poland)
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
- Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash
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