Air University Kamra Campus

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Department of Computer Science

Biography

Dr. Iram Abdullah is an accomplished academician and researcher specializing in Software Engineering.

She earned her Ph.D. in Software Engineering 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 incorporating domain-specific knowledge to improve diagnostic accuracy and efficiency.

With over a decade of teaching experience, Dr. Abdullah has held academic 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.

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 research and teaching, she aims to contribute to the integration of technology into medical practices and support the development of improved healthcare outcomes.

Education

Ph.D. – Doctor of Philosophy in Software Engineering
University of Engineering and Technology (UET), Taxila, Pakistan

M.S.E. – Master of Software Engineering
University of Engineering and Technology (UET), Taxila, Pakistan

B.S.E. – Bachelor of Software Engineering
Fatima Jinnah Women University, Rawalpindi, Pakistan

Publications

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.

Research Interests

Medical Diagnostics

Neurosymbolic AI

Artificial Intelligence

Deep Learning

Projects

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