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Hafiz Syed Ahmed Qasim holds a Bachelor’s degree in Software Engineering (BCSE) from Foundation University Islamabad, completed in 2017, and an MS in Computer Science (MSCS) from the School of Electrical Engineering and Computer Science (SEECS), NUST, completed in 2021. His MS research focused on Machine Learning and Computer Vision, where he contributed to advancements through his thesis work.
He began his academic career as a Lab Engineer at SZABIST Islamabad, where he developed his teaching and technical skills. He later served as a Lecturer at Riphah International University Islamabad, where he taught courses in Computer Science and Software Engineering, and then moved on to COMSATS University Islamabad in a similar role, contributing to the academic and professional growth of his students.
Currently, Hafiz Syed Ahmed Qasim is a Lecturer at GIK Institute, in the Faculty of Computer Science and Engineering (FCSE), where he continues to teach and mentor students, focusing on emerging technologies such as Artificial Intelligence and Machine Learning.
In 2024, he participated in the High-Impact Training (HIT) Program, a joint initiative by COMSATS, NAVTTC, and the Ministry of Education. This program aimed to equip participants with advanced skills in AI and machine learning, and Hafiz Syed Ahmed Qasim played a key role in delivering these training sessions.
His research includes two journal publications in the domain of Computer Vision and two conference papers, one in computer vision and the other in cybersecurity. His work reflects a commitment to both teaching and research in his fields of expertise.
Conference Publications | Journal Publications | Total Publications |
2 | 2 | 4 |
Representative Publications:
- Muslim, H.S.M., Khan, S.A., Hussain, S. et al.A knowledge-based image enhancement and denoising approach. Comput Math Organ Theory 25, 108–121 (2019). https://doi.org/10.1007/s10588-018-9274-8
- A. Khan, H. S. A. Qasim, and I. Azam, ‘Feature Extraction Trends for Intelligent Facial Expression Recognition: A Survey’, Informatica, vol. 42, no. 4, pp. 507–514, 2018.
- S. A. Qasim, M. Shahzad and M. M. Fraz, “Deep Learning for Face Detection: Recent Advancements,” 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2), Islamabad, Pakistan, 2021, pp. 1-6. https://doi.org/10.1109/ICoDT252288.2021.9441476
- Asmat and H. S. A. Qasim, “Conundrum-Pass: A New Graphical Password Approach,” 2019 2nd International Conference on Communication, Computing and Digital systems (C-CODE), Islamabad, Pakistan, 2019, pp. 282-287. https://doi.org/10.1109/C-CODE.2019.8680989
