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Dr. Iram Abdullah

Assistant Professor

Department: Computer Science

Official Email: [email protected]

Highest Qualification: Ph.D. in Software Engineering

Discipline: Software Engineering

Specialization: AI-Driven Biomedical Image Analysis, Deep Learning, Explainable AI and Computer Vision

Faculty Profile

Dr. Iram Abdullah is an academic and researcher in Software Engineering, with research interests spanning artificial intelligence, biomedical image analysis, medical image segmentation, and computer vision. Her research includes deep learning and explainable and neuro-symbolic AI approaches for medical imaging, including intracranial aneurysm detection and segmentation.

Academic Qualification

Highest Qualification	Ph.D. in Software Engineering
Ph.D. Thesis	Automatic Detection Framework of Intracranial Aneurysm and Quantification for Rupture Prediction
Thesis Institution	UET Taxila
Thesis Period	2017–2024

Research Expertise

Research Interests

Areas of Specialization

AI-driven biomedical image analysis
Deep learning for medical imaging
Explainable and neuro-symbolic artificial intelligence
Computer vision

Research Keywords

Intracranial aneurysm, neuro-symbolic AI, explainable AI, medical image segmentation, deep learning, Alzheimer's disease, MRI/CT analysis, and computer vision.

Research Group

MSP Lab — Machine Learning & Signal Processing Lab

Department of Software Engineering, UET Taxila

Visit MSP Lab

Research Impact & Metrics

75 Google Scholar Citations

3 Google Scholar H-Index

75 Citations Since 2021

Metrics last checked: 30 September 2026

Selected Research Outputs

1. Plant Disease Identification and Classification Using Convolutional Neural Network and SVM

Authors: H. Kibriya, I. Abdullah, A. Nasrullah

Publication: 2021 International Conference on Frontiers of Information Technology (FIT), 2021

Citations reported: 40

2. DeepInfusion: A Dynamic Infusion-Based Neuro-Symbolic AI Model for Segmentation of Intracranial Aneurysms

Journal: Neurocomputing

Volume: 551 (2023)

Impact Factor reported: 5.779

DOI: 10.1016/j.neucom.2023.126510

Projects & Funding

AI-Driven Ocular Biomarkers Tool for Traumatic Brain Injury: Correlating Automated Bilateral ONSD/ETD Metrics and Clinical Severity with Invasive ICP

Role: Principal Investigator (PI)

Status: Recommended for Funding — First Phase

Funding Scheme: PSF Industrial Solution Grants for Young Scientists

Funding Agency: Pakistan Science Foundation (PSF)

Funding Amount: PKR 2,799,800 (approximately PKR 2.8 million)

Project Period: 2026–2028 (2 years)

Research Partners: Northwest General Hospital & Research Centre (NWGH), Peshawar; Oakland University, USA

PSF Paper Number: FP-4-2026-306-4J8M

Ethical Approval Reference: IRB&EC/2026/GH/0364

Automatic Diagnostic Tool for Investigation of Risk of Brain Tumor

Recognition: Top-15 project recognition at AI Summer Camp 2023, Community AI, for a supervised undergraduate project.

Publications & Research Outputs

Journal Articles	1
Conference Papers	5
Web of Science Indexed	Yes
International Co-authorship	Yes

The detailed research outputs listed in the Research Impact section above are included from the supplied faculty profile information.

Awards & Achievements

Best Paper Award — 4th ICACS 2023

Organization: 4th International Conference on Advancements in Computational Sciences (ICACS)

Year: 2023

Recognition: International

Awarded Paper: Melanoma Lesion Segmentation and Classification Using SegNet

Top-15 Project Recognition — AI Summer Camp 2023

Recognition by Community AI for a supervised undergraduate project.

International Research Collaboration

Oakland University, USA

Location: Rochester, Michigan, United States

School: School of Engineering and Computer Science

Collaboration: Co-authorship on a peer-reviewed publication and collaborative research on AI for intracranial aneurysm detection and segmentation.

Research Output: DeepInfusion: A Dynamic Infusion-Based Neuro-Symbolic AI Model for Segmentation of Intracranial Aneurysms

Year: 2023

DOI: 10.1016/j.neucom.2023.126510

Industry & Clinical Research Collaboration

AARDIC — Advance Armor Research Development Integration and Information Center

Organization: Heavy Industries Taxila (HIT)

Engagement: Research and Development Internship

Duration: 6 weeks

Inventory Management System

Client: Islamabad-based commercial client

Engagement: Consultancy and development project

Outcome: Development of a modular Inventory Management System

Northwest General Hospital & Research Centre (NWGH), Peshawar

Engagement: Clinical research collaboration

Co-PI: Dr. Adnan Khan

Project: PSF-funded AI-driven TBI/ONSD-ETD project

Year: 2026

PSF Paper Number: FP-4-2026-306-4J8M

IRB Ethical Approval: IRB&EC/2026/GH/0364

Professional Engagement & Memberships

Professional Body	Pakistan Engineering Council (PEC)
PEC Registration Number	Comp/12662
Academic Engagement	MS Evaluator at PAK-Austria
Academic Committee	RMC Member at UET Taxila

Research Profiles & Academic Links

ORCID	0009-0005-6541-1892
Google Scholar	View Google Scholar Profile
Web of Science ResearcherID	HJG-9326-2022
LinkedIn	View LinkedIn Profile
MSP Lab	Machine Learning & Signal Processing Lab

Official Faculty Profile

View Dr. Iram Abdullah's Air University Kamra Faculty Profile