Air University Kamra Campus

Department of Computer & Software Engineering

Dr. Ehtisham Hassan

Assistant Professor

Ext: +92-57-9153-226

Dr. Ehtisham Hassan

Assistant Professor

Dr. Muhammad Ehtisham Hassan is an Assistant Professor in the Department of Computer and Software Engineering at Air University, Kamra Campus. He earned his Ph.D. in Computer Engineering from the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), where his doctoral research focused on Natural Language Processing (NLP), with particular emphasis on sentiment analysis and sarcasm detection in low-resource languages. He also holds an M.S. degree from the National University of Sciences and Technology (NUST-EME) and a B.S. in Computer System Engineering from GIKI. Dr. Hassan’s research interests includes NLP, machine Learning, deep Learning, large language models (LLMs), and data-driven solutions for low-resource linguistic contexts, and his work has been published in peer-reviewed IEEE journals. With over eight years of teaching and research experience, he has designed and delivered a diverse range of undergraduate courses, supervised final-year projects, and contributed to curriculum development and quality assurance. In addition to his academic and research contributions, Dr. Hassan actively promotes competitive programming and problem-solving skills as an organizer and coordinator for the International Collegiate Programming Contest (ICPC – Asia West region). He remains dedicated to advancing academic excellence, mentoring future engineers, and conducting impactful research at the intersection of artificial intelligence, data science, and computational linguistics.

Ph.D. COMPUTER ENGINEERING (GIK INSTITUTE OF ENGINEERING SCIENCES AND TECHNOLOGY, TOPI) MS ENGINEERING MANAGEMENT (NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY (NUST-EME) B.S COMPUTER SYSTEM ENGINEERING (GIK INSTITUTE OF ENGINEERING SCIENCES AND TECHNOLOGY, TOPI)

W. Abbass, N. Abbas, U. Majeed, and M. E. Hassan, “FederatedHPC: a scalable framework for privacy-preserving federated learning in scientific supercomputing workflows”, in The Journal of Supercomputing, vol. 82, no. 1, p. 22, 2026 (IF: 2.7). M. E. Hassan, M. Hussain, I. Maab, U. Habib, M. A. Khan and A. Masood, “Detection of Sarcasm in Urdu Tweets Using Deep Learning and Transformer-Based Hybrid Approaches”, in IEEE Access, vol 12, pp. 61542-61555, 2024 (IF: 3.5) M. E. Hassan, I. Maab, M. Hussain, U. Habib, and Y. Matsuo, “Polarity Classification of Low-Resource Roman Urdu and Movie Reviews Sentiments using Machine Learning-based Ensemble Approaches”, in IEEE Open Journal of the Computer Society, vol 1, pp. 1-12, 2024 (IF: 8.2).

Natural Language Processing Machine Learning Deep Learning Large Language Models (LLMs), and Data Science

Pakistan Smart Tourism app funded by the KPK Government, Culture and Tourism Authority for monitoring tourism in the northern areas of Pakistan. AI-Powered Hand Gesture-Controlled Car Misinformation Detection. Sentiment classification using machine learning and ensemble approaches Sarcasm detection using deep learning and transformer-based hybrid approaches.