Mohammad Al-Antary

Dr Mohammad Al-Antary BSc, MSc, PhD

Lecturer in Computer Science

Mohammad Al-Antary is currently a Lecturer at the School of Computing and Mathematical Sciences, Faculty of Engineering and Science, University of Greenwich, London, UK. He obtained his PhD in Computing and Information Systems from the University of Greenwich in 2022. He completed his MSc in 2017 also from the University of Greenwich. Mohammad obtained his BSc in Computer Information Systems in 2015 from the University of Jordan, Amman, Jordan.

His research interests are in the areas of Data Science, Machine Learning/Deep Learning/Artificial Intelligence, Image Classification and Segmentation and Data Analytics.  Mohammad particularly enjoys collaborating with scientists and researchers from different disciplines to develop new skills and solve new challenges.

Google Scholar profile: https://scholar.google.co.uk/citations?user=ZWFq_B0AAAAJ&hl=en

Computer science

Responsibilities within the university

Module Leader

  • Introduction to Data Science.
  • Machine Learning.

Module contribution

  • MSc Project
  • Final Year project

Recognition

Member IEEE and ACM

Research / Scholarly interests

Data Science, Machine Learning, Deep Learning, Image classification, Artificial Intelligence, Data Analytics

Recent publications

Al-Antary, Mohammad and Arafa, Yasmine (2021) Multi-scale attention network for diabetic retinopathy classification. IEEE Access, 9. pp. 54190-54200. ISSN 2169-3536 (Online) (doi:https://doi.org/10.1109/ACCESS.2021.3070685)

Alryalat, Saif Aldeen , Al-Antary, Mohammad, Arafa, Yasmine, Azad, Babak , Boldyreff, Cornelia , Ghnaimat, Tasneem , Al-Antary, Nada , Alfegi, Safa , Elfalah, Mutasem , Abu-Ameerh, Mohammed (2022), Deep learning prediction of response to anti-vegf among diabetic macular edema patients: Treatment response analyzer system (tras). Diagnostics, 12: 312 (2) . pp. 1-15 2075-4418 (Online) (doi: https://doi.org/10.3390/diagnostics12020312).