Curriculum Vitae

Inam Ullah

PhD Student, Computer Science (AI for Healthcare) | University of Southampton

Southampton, UK inamullahk756@gmail.com +92 3025562624 LinkedIn

Research Interests

Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Medical Imaging, Oculomics, Bioinformatics, Genomics, Precision Medicine, Interpretable and Causal ML, Mathematical and Statistical Modelling.

Education

University of Southampton, United Kingdom
Sep 2024 - Present
PhD in Computer Science (Artificial Intelligence)

Kohat University of Science and Technology, Pakistan
Oct 2018 - Jan 2022
MSc Computer Science (Artificial Intelligence), GPA: 3.24/4.00
Thesis: Analyzing the Role of Diversity in Convolutional Neural Networks Based Homogeneous Ensemble Model for Imbalanced Data Classification.

Virtual University, Pakistan
Mar 2016 - Oct 2018
Master in Computer Science, GPA: 3.29/4.00

University of Sargodha, Pakistan
Sep 2013 - Mar 2016
BSc (Physics, Mathematics, Computer Science)

KRL Institute of Technology, Pakistan
Aug 2007 - Jul 2010
DAE (Civil), Grade: 76%

Muslim Public High School Khar, Pakistan
Mar 2002 - Aug 2007
SSC (Science), Grade: 74%

Academic Experience

University of Southampton, United Kingdom
Sep 2024 - Present

Kohat University of Science and Technology, Pakistan
Jan 2021 - Jan 2022

Industry Experience

Shan Construction Company, Islamabad, Pakistan
Dec 2017 - Feb 2022
Project Manager (tendering, planning, estimation, billing, client correspondence)

Publications

  1. Inamullah, S. Hassan, N. A. Alrajeh, E. A. Mohammed, S. Khan.
    Data Diversity in Convolutional Neural Network Based Ensemble Model for Diabetic Retinopathy.
    Biomimetics 8(2), 2023: 187.
    https://www.mdpi.com/2313-7673/8/2/187/html

  2. Inamullah, S. Hassan, S. B. Belhaouari, I. Amin.
    Deciphering the impact of diversity in CNN-based ensembles on overcoming data imbalance and scarcity in medical datasets: A case study on diabetic retinopathy.
    Informatics in Medicine Unlocked 49 (2024): 101557.
    https://www.sciencedirect.com/science/article/pii/S2352914824001138

  3. Inamullah, I. Razzak, S. Jameel.
    The Eye as a Window to Systemic Health: A Survey of Retinal Imaging from Classical Techniques to Oculomics.
    Journal of Precision Medicine and Health Disease (2025): 100023.
    https://www.sciencedirect.com/science/article/pii/S305063282500023X

  4. Inamullah, et al.
    Integrated Oculomics and Lipidomics Reveal Microvascular Metabolic Signatures Associated with Cardiovascular Health.
    Under Review - Scientific Reports (Nature Portfolio).
    arXiv: https://arxiv.org/abs/2507.12663
    Citations: 0
    This study integrates retinal imaging with lipidomic profiles in a healthy cohort, revealing microvascular-metabolic signatures linked to cardiovascular health and systemic regulation.

Conferences and Seminars

Technical Skills

Courses and Certifications

Awards and Funding

Academic Service

Leadership and Volunteering

References