Ateeq Ur Rehman Butt
Punjab School Education Department, National Textile University
About
Ateeq Ur Rehman Butt received the BS degree (Hons.) in information technology from the University of Education, Township Campus, Lahore, and the MS degree in computer science from the National Textile University, Faisalabad. He is currently serving as a Lecturer (Computer Science & Information Technology) at the University of Kamalia, Punjab, Pakistan. He was a CTI & Instructor in computer science with the Department of Higher Education & School Education Punjab. He has authored one book on computer science and several research papers in reputed IF journals and conferences (ACM and IEEE). He is a reviewer for various journals, including IEEE Access, Scientific Reports, Computer & Electrical Engineering, Results in Engineering, Frontiers in Oncology, Frontiers in Artificial Intelligence, BMC Health Services Research, PeerJ Computer Science and Biomedical Signal Processing and Control. His research interests include IoT, cyber security, artificial intelligence, machine learning, deep learning, image processing, and health informatics.
Employment
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Punjab School Education Department Instructor (CS)
Education
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National Textile University MS (Computer Science)
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- Deep learning ensemble strategies in Outcome-Based Education (OBE): The influence of ideology and politics on vocational training Save
- Designing National Cultural Brands with AI: Leveraging Visual Communication and Deep Learning for Identity Development Save
- Optimizing Intelligent Traffic Management for Smart Cities Using Ensemble Learning Algorithms Save
- Uncovering Temporal Trends of Desolation Among Social Media Users: A Data-Driven Analysis Save
- Quantum-Secure Healthcare: A Comprehensive Review of Post-Quantum Cryptography and Cyber Defense in IoMT Save
- Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models Save
- Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment Save
- Proactive and data-centric Internet of Things-based fog computing architecture for effective policing in smart cities Save
- Enhancing Student Management Through Hybrid Machine Learning and Rough Set Models: A Framework for Positive Learning Environments Save
- Beyond Boundaries: A Novel Ensemble Approach for Breast Cancer Detection in Ultrasound Imaging Using Deep Learning Save