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

    6009 Perth

    Australia

  • 557 Citations
  • 10 h-Index
20112020

Research output per year

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Personal profile

Biography

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. 

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

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

Teaching overview

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

Education/Academic qualification

Autonomous Systems, Master of Science, Hochschule Bonn-Rhein-Sieg

Computer Science, PhD, The University of Western Australia

Research expertise keywords

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

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Research Output

Octree Guided CNN With Spherical Kernels for 3D Point Clouds

Lei, H., Akhtar, N. & Mian, A., 9 Jan 2020, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 9623-9632 156730

Research output: Chapter in Book/Conference paperConference paper

  • 3 Citations (Scopus)

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

    Sun, S., 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.

    Research output: Contribution to journalArticle

  • 5 Citations (Scopus)

    Going Deep in Medical Image Analysis: Concepts, Methods, Challenges, and Future Directions

    Altaf, F., Islam, S., Akhtar, N. & Janjua, N., 16 Jul 2019, In : IEEE Access. 7, p. 99540-99572

    Research output: Contribution to journalArticle

  • Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition

    Liu, J., Rahmani, H., Akhtar, N. & Mian, A., 6 Aug 2019, In : International Journal of Computer Vision.

    Research output: Contribution to journalArticle

  • 3 Citations (Scopus)

    Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition

    Liu, J., Akhtar, N. & Mian, A., 2019, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2019): Augmented Human Humancentric Understanding and 2D/3D Synthesis. USA: Computer Vision Foundation

    Research output: Chapter in Book/Conference paperConference paper

    Open Access

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