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Department of Computer Science

Dr. Iram Abdullah

Assistant Professor

Ext: +92-57-9153-256

Email: [email protected]

Dr. Iram Abdullah

Assistant Professor

Iram Abdullah is an accomplished academician and researcher specializing in software engineering. She earned her Ph.D. in Software from the University of Engineering and Technology (UET), Taxila, Pakistan. Her research interests lie at the intersection of artificial intelligence and healthcare, particularly in the development of intelligent systems for medical diagnostics. Dr. Abdullah focuses on enhancing deep neural networks (DNNs) by infusing them with domain-specific knowledge, aiming to improve diagnostic accuracy and efficiency. With over a decade of teaching experience, Dr. Abdullah has held positions at several prominent institutions, including the National University of Technology in Islamabad, HITEC University in Taxila, Punjab Tianjin University of Technology, and Bahria University in Lahore. Her commitment to education and research has earned her recognition in the academic community. Dr. Abdullah is dedicated to fostering innovation in healthcare technology and is passionate about mentoring students and guiding them in their academic and professional journeys. Through her work, she aims to make a significant impact on the integration of technology in medical practices, contributing to better health outcomes.

Ph.D. (Doctor of Philosophy in Software Engineering) University of Engineering and Technology Taxila, Pakistan. M.S.E. (Master of Software Engineering) University of Engineering and Technology Taxila, Pakistan. B.S.E. (Bachelor of Software Engineering) Fatima Jinnah Women University, Rawalpindi, Pakistan.

Iram Abdullah, Ali Javed, Khalid Mahmood Malik, Ghaus Malik. ”DeepInfusion: A dynamic infusion based-neuro-symbolic AI model for segmentation of intracranial aneurysms,” Neurocomputing, Volume 551, 2023, 126510, ISSN 0925- 2312, IF (5.779). H. Kibriya, I. Abdullah and A. Nasrullah, "Plant Disease Identification and Classification Using Convolutional Neural Network and SVM," 2021 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2021, pp. 264-268, doi: 10.1109/FIT53504.2021.00056. H. Kibriya, I. Abdullah and F. Kousar, "Melanoma Lesion Segmentation and Classification Using SegNet," 2023 4th International Conference on Advancements in Computational Sciences (ICACS), Lahore, Pakistan, 2023, pp. 1-6, doi: 10.1109/ICACS55311.2023.10089675. F. G. Miran, A. Irtaza, N. Nida, and I. Abdullah “A Novel Encoder-Decoder based UNet Framework for Monocular Depth Estimation Proceedings”, 1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23)”, Peshawar, Pakistan, 2023. A. Hannan, J. Iqbal, F. Ali and I. Abdullah “A Deep Learning based COVID-19 Detection and Classification Framework”, 1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23), Peshawar, Pakistan, 2023.

Medical Diagnostics Neurosymbolic AI

Enhancing X-Ray Diagnosis Through Cervical Vertebra Segmentation Navigating the Future: NLP’s Impact on Industry Emotion Detection in Text Streams Automatic Diagnostic Tool for Investigation of Risk of Brain Tumor Development of Faculty Profiling and Capability Enhancement Advisor System AARDIC Human Resource Management System Sponsored By HIT A Unity 3D AI Game