Hammam M. AlGhamdi

Assistant Professor

Hammam M. AlGhamdi

Department of Computer Science and Artificial Intelligence

University of Jeddah · Jeddah, Saudi Arabia

Assistant Professor of Computer Science and Artificial Intelligence at the University of Jeddah, specializing in computational pathology, medical image analysis, and deep learning for healthcare. Granted a PhD's degree from the University of Warwick (UK) and a MSc's degree from Queen's University (Canada). Active in community leadership, holding advisory roles, and frequntly invited talks across academia and industry.

Computational PathologyMedical Image AnalysisDeep LearningComputer VisionArtificial Intelligence
7+
Publications
10+
Talks & Events
6+
Award-winning Projects
14+
Years in Academia

Talks & Events

Keynotes, panels, and conference appearances

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Saudi-Omani Forum
Speaking at Saudi-Omani Forum
Research Conference – AI in Scientific Research
Speaking at Sciences Association

Recent Publications

Selected research work

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conference

Towards Privacy-Preserving Big Data Analysis with Decentralized Learning for ROP Imaging

AlGhamdi, H. M., et al.

IEEE International Conference on Artificial Intelligence and Internet of Things (AIIT 2025), Jeddah, KSA · 2025

journal

An Aggregation of Aggregation Methods in Computational Pathology

Bilal, M., Jewsbury, R., Wang, R., AlGhamdi, H. M., Asif, A., Eastwood, M., Rajpoot, N.

Medical Image Analysis, Volume 88, ISSN 1361-8415 · 2023

DOI
conference

Towards Pan-cancer Histology Image Classification with Knowledge Distillation

AlGhamdi, H. M., et al.

19th European Congress on Digital Pathology (ECDP), Budapest, Hungary · 2023

Student Project Impact

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Going beyond the academic process — fully or partially supervised projects that achieve major and international award wins, and are on their way to becoming real startups.

🏅 2nd Place – SDAIA ATHKA × KSU

AudioAid

An AI-driven audio accessibility solution for individuals with hearing impairments. Awarded 2nd place at the SDAIA ATHKA × KSU AI Bootcamp competition.

Feb 2025

🏅 1st Place – SANS Hackathon

PEARL

A cybersecurity AI tool developed for the SANS AI Cybersecurity Hackathon. Won 1st place globally — the team subsequently signed employment contracts with SANS Institute.

Nov 2025

🚀 Active Business

Physaio

An AI-powered physiotherapy app providing personalised exercise plans and recovery guidance. Available on the App Store as an active business.

Feb 2024

🏅 Gold Medal – ITEX 2025🚀 Active Business

SpatialPass

An AI system enabling automated, queue-free crowd entry at major events using BLE and advanced AI models. Won Gold at ITEX 2025 and spun off into an active business.

May 2025

Student team winning Gold Medal at ITEX 2025, Malaysia

🏅 ITEX 2025 — Gold Medal, Malaysia

Student team signing employment contracts with SANS at Fikrahthon

🚀 SANS — Employment Contract Signing

Not just an academic — an entrepreneurship catalyst.

I guide students from idea to impact: projects under my supervision have earned international medals and spun off into active startups.

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From the Blog

Thoughts on AI, research, and beyond

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Interested in collaborating?

I am open to research collaborations, speaking invitations, and consulting opportunities.

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