Mr. Shamshair Ali

Lecturer

Foundation University Islamabad

With a strong foundation in Computer Science and Artificial Intelligence, Mr. Shamshair holds an MS degree with specialization in Artificial Intelligence from Arid Agriculture University Rawalpindi, complemented by a BSCS degree from the University of the Punjab. He has published research papers in reputable journals, showcasing his expertise in AI and related fields. With 2 years of industry experience, he has gained hands-on expertise in applying AI and machine learning techniques to real-world problems, making him a skilled professional in the field.

      • MS Computer Science
      • BS Computer Science
  • Object Oriented Programming
  • Data structures and Algorithms
  • Web Engineering
  • Data Science
  • Machine Learning
  • Programming fundamentals
  1. A novel approach of botnet detection using hybrid deep learning for enhancing security in IoT networks, Alexandria Engineering Journal, Science Direct (Impact factor: 6.2) 2024
  2. Comparative Evaluation of AI-Based Techniques for Zero-Day Attacks Detection, Electronics, MDPI(Impact Factor 2.9) 2022
  3. Computational Intelligence Approaches for Analysis of the Detection of Zero-day Attacks, University of Wah journal of science and technology, 2022
  4. Domain Specific Lexicon Generation through Sentiment Analysis, International Journal of Emerging Technologies in Learning (iJET) (Impact factor 3.2)
  5. MAC Protocols 802.11: A Comparative Study of Throughput Analysis and Improved LEACH, IEEE International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON (2020)