Researcher

Dr Ali Haidar

Keywords

Biography

I am a Post-Doc research fellow at the Faculty of Medicine, UNSW Sydney and at the Ingham Institute for Applied Medical Research. I do research in Machine Learning, Deep Learning, and Distributed Machine Learning.

I am also working on the Australian Computer Assisted Theragnostics (OzCAT) network, which has been initially established across a network of Australian radiation oncology departments. My work includes establishing and maintaining...view more

I am a Post-Doc research fellow at the Faculty of Medicine, UNSW Sydney and at the Ingham Institute for Applied Medical Research. I do research in Machine Learning, Deep Learning, and Distributed Machine Learning.

I am also working on the Australian Computer Assisted Theragnostics (OzCAT) network, which has been initially established across a network of Australian radiation oncology departments. My work includes establishing and maintaining the necessary infrastructure (software and hardware) and undertaking research investigations using this network (outcome models, decision support tools, etc.).

Journal Review:

  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE ACCESS
  • IEEE Transactions on Industrial Informatics
  • IEEE Journal of Biomedical and Health Informatics
  • Soft Computing

Conference Review:

  • International Conference on Neural Information Processing (ICONIP)
  • IEEE Symposium Series on Computational Intelligence (IEEE SSCI)

My Grants

  • Ingham Institute Data and Cancer Research Grant 2019, Ensemble Learning in Cancer Related Applications ($25,000)
  • Ingham Institute Data and Cancer Research Grant 2019, Unsupervised Machine Learning for Detecting and Fixing Variations in Cancer Patients Medical Records ($15,000)
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Location

Ingham Institute for Applied Medical Research

Map reference (Google map)