Shakeeb Ahmed Khan

Brief Bio

Shakeeb Ahmed Khan is a Lecturer at the University of Southern Punjab, Multan, Pakistan, with academic and teaching experience in computer science, programming, web technologies, and machine learning. His research interests are closely aligned with machine learning, natural language processing, spam detection, data analysis, and applied artificial intelligence. His master’s thesis focused on the detection of spam tweets using machine-learning classifiers, and his publications include work in spam tweet detection, semantic intelligence, image quality enhancement, vaccine-hesitancy trend analysis, and knowledge representation learning.

At the USP, he contributes to computer science teaching and academic development, with a focus on strengthening students’ practical skills in programming, databases, web development, and emerging computing technologies.

Education
Master’s in Computer Science
National College of Business Administration & Economics
2022
BS in Computer Science
NFC Institute of Engineering and Technology, Multan
2015
Professional Experience
Lecturer
University of Southern Punjab, Multan
2023 – Till now
Visiting Lecturer
NFC Institute of Engineering & Technology (NFC IET), Multan
2017 – 2022
Visiting Lecturer
National College of Business Administration & Economics, Multan
2015 – 2020
Visiting Lecturer
MNSUA, Multan
2016 – 2018
Web Instructor
TEVTA College, Multan
2015 – 2016

Research Interests

  • Machine learning and applied artificial intelligence
  • Deep Learning
  • Computer vision

Research Impact:

  • Publications: 5
Title Year Published Link
A Novel Approach to Enhance Image Quality in Complex Visual Scenarios.
2025
Click to view
Deep Semantic Intelligence for Twitter Spam Detection Using Latent Semantic Analysis.
2025
Click to view
Textual Analysis of Vaccine Hesitancy Trends During the COVID-19 Pandemic.
2025
Click to view
Detection of Spam Tweets by Using Machine Learning Methods.
2024
Click to view
Evolving knowledge representation learning with the dynamic asymmetric embedding model.
2024
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  • M Haroon, SA Khan, M Umair, M Abrar, SA Qureshi (2025). “Deep Semantic Intelligence for Twitter Spam Detection Using Latent Semantic Analysis.” Kashf Journal of Multidisciplinary Research 2 (12), 1-23 
  • M Haroon, SA Khan, A Haider, HMA Ali, S Khan (2025). “A Novel Approach to Enhance Image Quality in Complex Visual Scenarios.” International Journal of Information Systems and Computer Technologies. 
  •  SA Khan, SA Qureshi, Q Asghar, RM Nadeem, TF Khan (2025). “Detection of Spam Tweets by Using Machine Learning Methods.” Annual Methodological Archive Research Review, 3(8), 60–80. 
  •  M Ismail, Q Niaz, I Ali, SA Khan, H Mehboob. (2025). “Textual Analysis of Vaccine Hesitancy Trends During the COVID-19 Pandemic.” Southern Journal of Computer Science, 1(1), 62–80. 
  • MA Khan, SUR Khan, SZQ Haider, SA Khan, O Bilal. (2024). “Evolving knowledge representation learning with the dynamic asymmetric embedding model.” Evolving Systems, 15(6), 2323-2338.

Teaching & Supervision

Courses:

  • Programming
  • Database systems
  • web development

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