• The University of Western Australia (M002), 35 Stirling Highway,

    6009 Perth


  • 0 Citations
  • 0 h-Index

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile


Naveed Akhtar is a Lecturer of Machine Learning, AI and Data Science at the Department of Computer Science & Software Engineering, UWA. He is known for his research in Machine Vision & Intelligence with multiple publications in the world-leading research sources in Computer Science, including IEEE TPAMI, IEEE TNNLS, IJCV, IEEE CVPR and ECCV. He regularly serves as a reviewer of top venues of his research field, e.g., Nature Machine Intelligence, TPAMI, TNNLS, CVPR, ICCV and ECCV. He also serves/d as an Associate Editor for IEEE Access and as a Guest Editor for NCAA and Remote Sensing. His current research interests include deep learning, adversarial machine learning, computer vision, 3D point cloud analysis and remote sensing.

Potential PhD students with strong track record are encouraged to contact me for the opportunities of scholarship. 


  1. Computer Graphics & Animation
  2. Computer Analysis & Visualisation

Roles and responsibilities

Besides teaching Computer Science units, I also supervise PhD and Masters students in my areas of research interest. My PhD students are able to regularly publish in esteemed research venues of Computer Science. 

Research interests

  1. Deep Learning
  2. Adversarial Machine Learning
  3. Computer Vision
  4. Video descriptiuon & captioning
  5. 3D point clouds

Education/Academic qualification

Hochschule Bonn-Rhein-Sieg

The University of Western Australia

Research expertise keywords

  • Deep learning
  • Computer vision
  • Pattern recognition
  • Adversarial machine learning
  • Hyperspectral imaging and analysis

Fingerprint Dive into the research topics where Naveed Akhtar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors

Akhtar, N., Song, H., Zhang, C., Li, J. & Mian, A., Oct 2019, In : IEEE Transactions on Intelligent Transportation Systems. 20, 10, p. 3599-3612 14 p., 8697114.

The University of Western Australia

Research output: Contribution to journalArticleResearchpeer-review