Dr. Jalees Ur Rahman

Assistant Professor

jalees.urrahman@cust.edu.pk

+92-51-111-555-666

PROFILE SUMMARY

Engr. Dr. Jalees Ur Rahman holds a Ph.D. in Computer Engineering, specializing in Deep Learning and Medical Imaging, from the GIK Institute of Engineering Sciences and Technology, Topi. He is currently serving as an Assistant Professor in the Department of Computer Science at Capital University of Science and Technology (CUST). He has over seven years of combined academic and industry experience in Artificial Intelligence, Machine Learning, Computer Vision, and Large Language Models (LLMs). Previously, he served as a Lecturer at GIK Institute and KUST. In addition to his academic career, he has led international engineering teams at Amazon, Meta, and Microsoft through Turing, contributing to LLM and Vision-Language Model (VLM) fine-tuning, prompt engineering, Reinforcement Learning from Human Feedback (RLHF), and Supervised Fine-Tuning (SFT). He is also a three-time speed programming competition champion coach and has represented Pakistan at the ICPC World Finals.

QUALIFICATION
PhD	Computer Engineering	GIKI Topi	2026
MS	Computer Engineering	GIKI Topi	2019

TEACHING EXPERIENCE
Assistant Professor	Capital University of Science and Technology (CUST)	Department of Computer Science

RESEARCH AREAS / INTERESTS
1.	Deep Learning and Artificial Intelligence
2.	Medical Imaging and Healthcare AI
3.	Computer Vision and Image Processing
4.	Large Language Models and Vision-Language Models

Sr.	JOURNAL PUBLICATIONS	Year
1	J. U. Rahman, M. Hanif, U. Haider, S. M. Qaisar, and S. Ayouni, “Action recognition via shallow CNNs on intelligently selected motion data,” Computers, Materials & Continua, vol. 86, no. 3, p. 96, 2026.	2026
2	J. ur Rahman, M. Hanif, O. ur Rehman, U. Haider, S. Mian Qaisar, and P. Plawiak, “Stages prediction of Alzheimer’s disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data,” Scientific Reports, vol. 15, no. 1, p. 9238, 2025.	2025
3	S. Ahmad, S. U. Ansari, U. Haider, K. Javed, J. U. Rahman, and S. Anwar, “Confusion matrix-based modularity induction into pretrained CNN,” Multimedia Tools and Applications, vol. 81, no. 16, pp. 23311–23337, 2022.	2022

Sr.	CONFERENCE PUBLICATIONS	Year
1	M. Masood, F. Azam, M. W. Anwar, and J. U. Rahman, “Deep-learning based framework for sentiment analysis in Urdu language,” in 2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2). IEEE, 2022, pp. 1–7.	2022
2	J. U. Rahman, A. Ishtiaq, and U. Haider, “Efficient features selection based breast tumors classification with machine learning,” in 2022 17th International Conference on Emerging Technologies (ICET). IEEE, 2022, pp. 166–171.	2022
3	U. Haider, J. U. Rahman, S. Waheed, M. Irfan, H. Wahid, and S. A. Khan, “BEGSS! pruning candidate selection for ConvNets,” in 2021 International Conference on Artificial Intelligence (ICAI). IEEE, 2021, pp. 134–139.	2021

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Dr. Jalees Ur Rahman

PROFILE SUMMARY

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