Abbas Haider

Abbas Haider is a Lecturer in Computer Science with extensive experience in teaching undergraduate and postgraduate modules, including Data Science, Visual Analytics, RDBMS, Operating Systems, and Programming in Python and Java. He has taught at Ulster University and Queen’s University Belfast, applying research-led and interactive teaching methods using real-world datasets and contemporary visualization techniques.

Abbas has actively contributed to national and international collaborations with institutions such as the University of Cambridge, University of Surrey, Queen’s University Belfast, and Southwest Jiaotong University, China. His work with the BBC on AI-driven archive retrieval demonstrates his ability to translate academic research into scalable industry solutions.

He has supported curriculum development, supervised PhD students, and served as an external assessor. His wider engagement includes organizing and presenting at major conferences such as ACM ICMR and the British Machine Vision Conference. He has served as a reviewer for high-impact journals including IEEE Transactions on Emerging Topics in Computational Intelligence and Springer Neural Computing and Applications, contributing to the advancement of machine learning, computer vision, and intelligent systems.

Abbas has contributed to securing research funding from EPSRC and RoseTrees Trust, supporting projects in medical imaging, deep learning, and resource-constrained AI systems. His research interests focus on developing innovative machine learning techniques to address healthcare challenges, including early disease detection, tracking disease progression, and constructing multimodal models for efficient and meaningful data representation in vision and language domains.