Dr. Muhammad Adeel Abid
Lecturer
PhD (CS)
I am currently serving as Lecturer in the Department of Data Science & Artificial Intelligence, KFUEIT, since January 2023. Before that, I served as Lecturer (IT) at KFUEIT from April 2018 to December 2022, after working for 8.5 years as SST (Computer Science) in the Punjab Education Department. I have also worked as Visiting Lecturer at The Islamia University of Bahawalpur (RYK Campus) for 9 years, and at Nicaas College and Superior Group of Colleges for 1 year each, and as Lecturer at Govt. Khawaja Fareed College, Rahim Yar Khan for 8 months. Earlier in my career I worked as a Web Developer at Magsnet Ltd, Karachi, and as Data Entry Supervisor at AOS Company, Rahim Yar Khan for about 3.5 years.
I completed my PhD in Computer Science at KFUEIT in 2026. My thesis, "IoT-based Biofloc Automation System for South Punjab Region," combines IoT and machine learning to monitor water-quality parameters and reduce fish mortality in biofloc tanks, and was supervised by Dr. Madiha Amjad and Dr. Kashif Munir. I earned my MS (CS) from The Islamia University of Bahawalpur in 2015 (thesis: "Recommending Domain Specific Keywords for Twitter," supervised by Dr. Saad Malik) and my MCS from the same university in 2008 with distinction, where I was awarded the Gold Medal. I also hold a B.Ed. from The Islamia University of Bahawalpur and a Diploma of Computer Operator/Office Assistant from Vocational Training Institute, Rahim Yar Khan. I belong to Rahim Yar Khan.
I have supervised 230+ BS students and 1 MS student.
1. Abid, M. A., Mushtaq, M. F., Akram, U., Mughal, B., Ahmad, M., & Imran, M. (2020). Recommending domain specific keywords for Twitter. In Recent Advances on Soft Computing and Data Mining: Proceedings of SCDM 2020, Melaka, Malaysia (pp. 253-263). Springer International Publishing.
2. Abid, M. A., Ullah, S., Siddique, M. A., Mushtaq, M. F., Aljedaani, W., & Rustam, F. (2022). Spam SMS filtering based on text features and supervised machine learning techniques. Multimedia Tools and Applications, 81(28), 39853-39871.
3. Abid, M. A., Mushtaq, M. F., Akram, U., Abbasi, M. A., & Rustam, F. (2023). Comparative analysis of TF-IDF and loglikelihood method for keywords extraction of Twitter data. Mehran University Research Journal of Engineering and Technology, 42(1), 88-94.
4. Abid, M. A., Amjad, M., Munir, K., Siddique, H. U. R., & Jurcut, A. D. (2024). IoT-based smart biofloc monitoring system for fish farming using machine learning. IEEE Access, 12, 86333-86345.
5. Abid, M. A., & Munir, K. (2025). A systematic review on deep learning implementation in brain tumor segmentation, classification and prediction. Multimedia Tools and Applications, 1-40.
6. Abid, M. A. (2026). A unified multi-model learning framework for reliable static malware detection. International Journal of Innovations in Science & Technology, 8(3), 87-99. https://ideas.repec.org/a/abq/
Data Mining, Artificial Intelligence, and the use of IoT devices/sensors for real-time problems.
- Gold Medal in MCS
- Appreciation Certificate from the Vice Chancellor, Prof. Dr. Muhammad Suleman Tahir, for session 2019-2020
- Served as recruitment committee member in the Punjab Education Department for 6 years
- Served as Secretary of the School Council for 2 years
- Deputy Controller of Examinations (KFUEIT-Affiliation), since 7 September 2026
- Batch Advisor, Department of Data Science & AI, since 2023
- Exam Coordinator, Department of Data Science & AI, 2023 – Sep 2026
- CBA Coordinator, Department of Data Science & AI, Sep – Dec 2023
- Exam Committee Member, Institute of Computer Science, Spring 2023
- Batch Advisor BSCS 2022-2024; Exam Coordinator, Department of IT, Fall 2022
- Batch Advisor BS-Cyber Security 2020-2021; Member Admission Committee Fall 2020; Curriculum development for ADP (IT) Fall 2020
- Member, Board of Studies curriculum development for BSIT, BSCS and BS-Bioinformatics, 2019-2020
- Batch Advisor Bioinformatics 2018-2019; Member SAR for MCS 2019
- DSA Coordinator and Sports Coordinator, Department of IT
- Developed the course-folder website for the Department of Computer Science & IT