• Find an Expert
  • Contact
  • SearchSearch icon
  • Menu
  • Help
  • Report an issue

Contact


Email

Basim.Azam@unimelb.edu.au

Credentials


Position
Research Fellow
School of Computing and Information Systems
Education
PhD
Griffith University
Masters
Institute of Space Technology
ORCID

0000-0002-3367-6467

Dr Basim Azam

Research Fellow
School of Computing and Information Systems

30 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    A novel neuron efficiency metric for enhancing deep neural network pruning
    DOI: 10.1007/s00521-026-11855-0
  • 2026

    Journal article

    Unified graph-based framework for visual explainability in convolutional neural networks
    DOI: 10.1016/j.ins.2025.122648
  • 2025

    Journal article

    Adaptive feature extraction and attention-based segmentation network for remote sensing imagery
    DOI: 10.1016/j.rsase.2025.101679
  • 2025

    Journal article

    A Novel Non-iterative Training Method for CNN Classifiers Using Gram–Schmidt Process
    DOI: 10.1007/s11063-025-11741-1
  • 2025

    Journal article

    RSVMamba for Tree Species Classification Using UAV RGB Remote Sensing Images
    DOI: 10.1109/TGRS.2025.3533019
  • 2025

    Conference Proceedings

    Plug-and-Play Interpretable Responsible Text-to-Image Generation via Dual-Space Multi-facet Concept Control
    DOI: 10.1109/cvpr52734.2025.00283
  • 2025

    Conference Proceedings

    A Novel Graph-Based Framework for Understanding of Decision-Making Process in Deep Learning Models
    DOI: 10.1109/CITRExCompanion65208.2025.10981494
Basim Azam

Latest Honours,
Awards and Fellowships


2020
ARC Discovery Project 100% Tution Fee Wavier and Living Stipend Scholarship Australian Research Council

RECENT SCHOLARLY WORKS

  • 2025

    Conference Proceedings

    Joint Super-Resolution and Segmentation for Low-Resolution Brain MRI Analysis
    DOI: 10.1109/IVCNZ67716.2025.11281856
  • 2025

    Conference Proceedings

    Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition
    DOI: 10.1007/978-981-96-6582-2_2
  • 2025

    Conference Proceedings

    GO-N3RDet: Geometry Optimized NeRF-enhanced 3D Object Detector
    DOI: 10.1109/cvpr52734.2025.02534

We acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated

Read about our commitment to reconciliation  

About us  

Careers at Melbourne  

Safety and respect  

Newsroom  

Contact  

Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


Address:
The University of Melbourne
Grattan Street, Parkville,
Victoria, 3010, Australia


View all Campus locations  
facebookIconlinkedinIconinstagramIcontwitterIcon

Emergency information  |  Disclaimer and copyright  |  Accessibility  |  Privacy  |  VaxFACTS

CRICOS number: 00116K     ABN: 84 002 705 224