Dr Anwaar Ulhaq

PhD (Monash), OELP (Oxford), PCMAI (MIT), HETC (Harvard), GCTE (VU)
Senior Lecturer: Artificial Intelligence
Central Queensland University, Sydney, Australia

Vice President, Australian Pattern Recognition Society (APRS)

Dr Anwaar Ulhaq is a Senior Lecturer in Artificial Intelligence at Central Queensland University's Sydney Campus, Australia. He holds a PhD in Artificial Intelligence from Monash University, Australia, a Graduate Certificate in Machine Learning and Artificial Intelligence from Massachusetts Institute of Technology, USA, and a professional certificate in Business Analytics from Harvard Business School. Additionally, he completed the Oxford Executive Leadership Program at Oxford Said Business School, University of Oxford. He is Vice President of the Australian Pattern Recognition Society and is a member of the Australian Academy of Sciences, the Australian Computer Society, and IEEE Signal Processing. He is an associate editor of Springer Nature Computer Science. With a diverse academic background, Dr Ulhaq has contributed significantly to the field of computer vision, serving as the General Chair of DICTA, 2023, a major Australian computer vision conference. He has published over 90 peer-reviewed journal and conference papers, received teaching and research excellence awards, and secured approximately $3 million in research projects as a Chief and Co-Investigator. Dr. Ulhaq's research interests span computer vision, image and signal processing, responsible AI, and remote sensing, and his work has been featured in national and international media over 30 times, highlighting the relevance and significance of his contributions.

News

2025-05-12] Our paper accepted in Artificial Intelligence Review 2025
2025-02-21] Our paper accepted in Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2025
2024-11-21] Successful in ADDICT (Australian Council of Deans of ICT) Teaching and Learning Research Grant (2024-2025)
2024-11-04] I visited the University of Oxford in the UK and met Professor Phil Torr.
2024-10-24] Our paper is accepted in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
[2024-09-21] We were successful in securing research funding for the project "Plastic GPT."
[2024-06-26] Our paper is accepted in Nature.
[2024-03-22] Live interview with Amelia Bernasconi for ABC Radio Upper Hunter about recollection of Y2K bug and IT Risk Manamegent
[2024-03-21]Our paper "Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling" 📝 is now avilable on https://arxiv.org/abs/2403.14124.
[2024-03-21]Our paper "OrphaGPT: An Adapted Large Language Model for Orphan Diseases Classification" 📝 is accepted for presentation at the 16th Asian Conference on Intelligent Information and Database Systems 2024.
[2024-02-15]Our paper "Spectrally Segmented Enhanced Neural Network for Precise Land Cover Object Classification" 📝 is now published in Special issue of Remote Sensing.
[2024-01-06] Delivered a keynote invited talk at the WACV 2024 workshop on Complex Neural Nets at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), which was hosted by the Department of Defence, Australia, from January 4 to 8, in Waikoloa, Hawaii.