Mohammad Al-Antary

Dr Mohammad Al-Antary BSc, MSc, PhD, FHEA

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

Zhang, Ting, Liu, Pengyi, Liu, Zhaoyinγ, Chen, Yingchun, Alfuhaid, Hisham, Al-Antary, Mohammad, Waqas, Muhammad and Hussain, Syed Mudassir (2026) Cross-domain few-shot infrared ship segmentation with class-specific adapters and SAM refinement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. ISSN 1939-1404 (Print), 2151-1535 (Online) (doi:10.1109/JSTARS.2026.3704472)

Wang, Qingwang, Ouyang, Junlin, Shen, Tao, Gu, Yanfeng, Ullah, Sami, Al-Antary, Mohammad, Alasmary, Hisham, Waqas, Muhammad, Tang, Bo-Hui and Halim, Zahid (2026) Complementary information mining for redundancy and weakly aligned RGB-T semantic segmentation. IEEE Transactions on Geoscience and Remote Sensing, 64:5901414. pp. 1-14. ISSN 0196-2892 (Print), 1558-0644 (Online) (doi:10.1109/TGRS.2026.3654044)

A full list can be seen here.