Rate My Professor Naveed Akhtar

Akhtar's research specializations include deep learning, explainable artificial intelligence, adversarial machine learning, computer vision, video description and captioning, 3D point cloud analysis, remote sensing, pattern recognition, and hyperspectral imaging and analysis. Notable publications comprise 'LPL3D: LVLM-driven Pseudo-Labeling for 3D Object Detection' (IEEE Transactions on Circuits and Systems for Video Technology, 2026), 'On the fairness, diversity and reliability of text-to-image generative models' (Artificial Intelligence Review, 2026), 'Prompt-guided selective frequency network for real-world scene text image super-Resolution' (Pattern Recognition, 2026), 'A Comprehensive Overview of Large Language Models' (ACM Transactions on Intelligent Systems and Technology, 2025), and 'Beyond Human Perception: Understanding Multi-Object World from Monocular View' (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2025). He has received the Australian Research Council Discovery Early Career Researcher Award in 2023, Best Paper Award at the 37th International Conference on Image and Vision Computing New Zealand in 2022, School of Physics, Mathematics and Computing Early-Career Research Award from UWA in 2022, was a finalist for Western Australia Early Career Scientist of the Year in 2021, and the Office of National Intelligence Fellowship in 2021. Akhtar has acted as Area Chair for CVPR 2022, ECCV 2022, and WACV 2023, serves as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and IEEE Access, is a Guest Editor for Neurocomputing and Applications and Remote Sensing journals, and is an ACM Distinguished Speaker. He supervises postdocs, PhD candidates, and Masters students, and teaches units including Computer Graphics and Animation and Computer Analysis and Visualisation.