Qasim Niaz

Brief Bio

A motivated and highly dynamic individual having 5+ years of academic as well as research experience working in the field of Artificial Intelligence and its intersection. I have consistently demonstrated a passion for knowledge, a commitment to excellence, and a drive for innovation throughout my career, with expertise in Computer Vision, Machine/Deep Learning, and Image processing. 

Education
PhD in Computer Science
University of Southern Punjab, Multan
In Progress
MPhil in Computer Science
NCBA&E Lahore
2018
BS Computer Science
NFC IET, Multan
2016
Professional Experience
Lecturer
University of Southern Punjab, Multan
2019 – Till now
Adjunct Lecturer
MNS University of Agriculture
2019
Adjunct Lecturer
University of Education DG Khan
2017 – 2018

Research Interests

  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Image Processing
  • AI in Healthcare

Selected Publications

  1. Razzaq, A., Asim, M., Ali, Z., Qadri, S., Mumtaz, I., Khan, D. M., & Niaz, Q. (2019).
    Text sentiment analysis using frequency-based vigorous features. China Communications, 16(12), 145–153.
  2. Mohsin, A. R., Haider, S. Z. Q., Khan, M. A., Humayun, K. K., & Niaz, Q. (2021).
    Smart parking system: A brief overview of the last decade. LC International Journal of STEM, 2, 9–26.
  3. Khan, M. A., Khan, M. H., Niaz, Q., & Park, H. (2021). Exploiting deep learning for fast COVID-19 diagnosis. In Proceedings of KSC.
  4. Niaz, Q., Khan, M. A., Riaz, R., & Park, H. (2021). Pattern classification of palm lines. In Proceedings of KSC.
  5. Raza, A., Ali, M. I., Niaz, Q., Khawar, M., & Asif, M. (2024). Agile ontology development: A comprehensive framework from preliminary investigations to evaluation. Journal Homepage, 2(1), 33–51.
  6. Arif, A., Ali, M. Z. H., Haider, S. Z., & Niaz, Q. (2025). AI-driven edge computing for IoT: Revolutionizing phishing detection and mitigation. Journal of Computing & Biomedical Informatics, 9(1).
  7. Arif, A., Ali, M. Z. H., Niaz, Q., Azam, M., Malik, M. H., & Hussain, A. (2025). The evolution of SDMS: Trends, trade-offs, and future directions. Journal of Emerging Technology and Digital Transformation, 4(2), 66–98.

Teaching & Supervision

Courses:

  • Object Oriented Programming
  • Data Structures & Analysis of Algorithms
  • Software Engineering
  • Software Project Management
  • Search Engine Optimization

Supervision:

BS CS/IT: 50+

Teaching Philosophy

Centers on connecting theoretical concepts with practical application, empowering students to think critically, solve real-world problems, and become lifelong learners in the field of computing.

Skills

  • Programming: Python, C, C++, C#, SQL
  • Tools: TensorFlow, Keras, PyTorch, OpenCV
  • Platforms: Google Colab, Kaggle

Collaboration

Open to international collaborations in medical imaging and natural language processing research.

Contact