Kainat Sajid

Brief Bio

Kainat Sajid is a Lecturer in Computer Science with a strong commitment to teaching excellence and applied research. She is currently serving at the University of Southern Punjab, Multan, where she contributes to undergraduate and graduate education, curriculum development, and student supervision.

Her academic and research interests include machine learning and wireless communication networks, with a particular focus on emerging paradigms such as 6G networks and intelligent computing systems. Her research work aims to explore innovative, data-driven solutions to modern technological challenges and has been recognized through peer-reviewed publications.

She adopts a student-centered teaching approach that emphasizes critical thinking, problem-solving, and practical implementation. Through active mentoring and hands-on learning strategies, she strives to equip students with both theoretical knowledge and industry-relevant skills.

Education
MS Computer Science
Bahauddin Zakariya University, Multan
2022
Masters of Computer Science
The Women University, Multan
2020
Bachelor of Science in Computer Science
Bahauddin Zakariya University
2018
Professional Experience
Lecturer
University of Southern Punjab, Multan
2023 – Till now
Visiting Lecturer
Muhammad Nawaz Sharif University of Agriculture, Multan
2022 – 2023
Lecturer
The Galaxy Group of Schools and Colleges, Multan
2021 – 2022

Professional associations

  • Member, Curriculum Committee
  • Member, Course Folder Evaluation Committee

Research Interests

Research Impact:

  • Publications: 2
Title Year Published Link
An Effective Paradigm for Selecting Channels in 6G Wireless Networks with Improved QoS
2024
An Efficient Deep Learning Approach for Prediction of Student Performance Using Neural Network
2023

Teaching & Supervision

Courses:

  • Applications of Information and Communication Technologies
  •  Programming Fundamentals
  • Object Oriented Programming
  • Database Systems
  • Software Engineering
  • IT Infrastructure
  • Web Technologies

Supervision:

  • BS Final Year Projects: 20

Teaching Philosophy

To integrate theoretical knowledge with practical skills by engaging students in problem-solving, hands-on labs, and real-world applications.

Collaboration

Open to academic and research collaborations in machine learning, wireless communication, and emerging technologies.