Research & Publications

Peer-reviewed publications in AI, medical imaging, and beyond

Journal2025

Exploring Machine Learning for Breast Cancer Detection in X-Ray Imaging

Weitong Liao·Ligang He·Mohammed H. Alghamdi·Hammam M. Alghamdi

Big Data and Information Analytics, Volume 9, pp. 385–399

Breast CancerX-Ray ImagingMachine LearningMedical ImagingFederated Learning
Conference2025

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

Faisal M. Mahrous·Hamad A. Abu-Leif·Turki A. Modyiq·Hammam M. AlGhamdi·Khulud S. AlSaedi·Abduallah M. Algamdi

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

Federated LearningPrivacy-PreservingMedical ImagingRetinopathy of PrematurityHealthcare AI
Conference2025

TSGAN: A Lightweight Teacher-Student-Based GAN Framework for the Edge-Cloud Computing

Weitong Liao·Hao Wu·Zikun Zhang·Mohammed H Alghamdi·Hammam M Alghamdi·Ligang He

2025 IEEE International Conference on High Performance Computing and Communications (HPCC)

GANEdge ComputingCloud ComputingKnowledge DistillationFederated Learning
PhD2024

Context Shift in Histology Image Analysis

University of Warwick

Supervisor: Nasir M. Rajpoot

Computational PathologyContext ShiftHistologyDeep LearningPan-cancer
Journal2023

An Aggregation of Aggregation Methods in Computational Pathology

Mohsin Bilal·Robert Jewsbury·Ruoyu Wang·Hammam M. AlGhamdi·Amina Asif·Mark Eastwood·Nasir Rajpoot

Medical Image Analysis, Volume 88, ISSN 1361-8415

Computational PathologyWhole-Slide ImagesAggregation MethodsMultiple Instance LearningDeep Learning
Journal2023

Instant Counting & Vehicle Detection during Hajj Using Drones

Abdullah M Algamdi·Hammam M Alghamdi

Journal of Image and Graphics, Volume 11, Issue 2, pp. 204–211

Drone ImagingObject DetectionVehicle CountingHajjComputer Vision
Conference2023🏆 Best

Towards Pan-cancer Histology Image Classification with Knowledge Distillation

Hammam M. AlGhamdi·Talha Qaiser·Shan E Ahmed Raza·Nasir Rajpoot

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

Computational PathologyKnowledge DistillationPan-cancerHistologyDeep Learning
Journal2023

Towards Reducing the Time Needed for Load Testing

Hammam M. AlGhamdi·Cor-Paul Bezemer·Weiyi Shang·Ahmed E. Hassan·Parminder Flora

Journal of Software: Evolution and Process, Volume 35, Issue 3, ISSN 2047-7473

Software TestingLoad TestingPerformance TestingAutomated Testing
Conference2021

A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs

Hammam M AlGhamdi·Navid Alemi Koohbanani·Nasir Rajpoot·Shan E Ahmed Raza

MICCAI Workshop on Computational Pathology (COMPAY), Proceedings of Machine Learning Research, Vol. 156, Vancouver, Canada

Computational PathologyWhole-Slide ImagesWeakly Supervised LearningCancer PathologyCell Maps
Conference2019

A Hybrid Pipeline to Assess ER-Stained Nuclei in Invasive Breast Cancer

Hammam M AlGhamdi·Maryam Althobiti·Talha Qaiser·Andrew R Green·Shan E Ahmed Raza·Emad A Rakha·Nasir Rajpoot

MICCAI Workshop on Computational Pathology (COMPAY), Shenzhen, China

Computational PathologyBreast CancerER StatusDeep LearningNuclear Segmentation
MSc2017

Automated Approaches for Reducing the Execution Time of Performance Tests

Queen's University

Supervisor: Ahmed E. Hassan

Software TestingLoad TestingPerformance TestingAutomated Testing
Conference2016

An Automated Approach for Recommending When to Stop Load Tests

Hammam M. Alghamdi·Mark D. Syer·Weiyi Shang·Ahmed E. Hassan

IEEE International Conference on Software Maintenance and Evolution (ICSME), Raleigh, NC, USA

Software TestingLoad TestingPerformance TestingAutomated RecommendationsSoftware Engineering