Research output per year
Research output per year
Personal profile
Personal profile
Dr Anwaar Ulhaq is serving as a lecturer in School of Computing and Mathematics, Charles Sturt University. Anwaar holds PhD (Artificial Intelligence) from Monash University, Australia. He has an extensive teaching and research experience of working at reputed Australian universities including Victoria University, Swinburne University of Technology and Central Queensland University. He has also worked a research fellow at Institute for Sustainable Industries & Liveable Cities, Victoria University, Australia. His research interests include signal and image processing, deep learning, data analytics and computer vision. He has received CSU Teaching Excellence Award in 2018.
Education/Academic qualification
Artificial Intelligence, PhD
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Research output
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Fundamental rights and smart health technologies
Poulsen, A. & Ul-Haq, A., 2021, Smart technologies and fundamental rights. Gordon, J-S. (ed.). 1st ed. Brill, Vol. 350. p. 127-153 27 p.Research output: Book chapter/Published conference paper › Chapter (peer-reviewed) › peer-review
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Active contours with local and global energy based‐on fuzzy clustering and maximum a posterior probability for retinal vessel detection
Wang, X., Jiang, Z., Li, W., Zarei, R., Huang, G., Ul-Haq, A., Yin, X., Zhang, B., Shi, P., Guo, M. & He, J., 10 Apr 2020, In: Concurrency and Computation: Practice and Experience. 32, 7, p. 1-14 14 p., e5599.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Can data fusion increase the performance of action detection and recognition in the dark?
Ul-Haq, A., 2020, Statistics for data science and policy analysis. Raman, A. (ed.). Springer Nature, p. 159-171 13 p.Research output: Book chapter/Published conference paper › Conference paper › peer-review
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Computer vision for COVID-19 control: A survey
Ulhaq, A., Khan, A., Gomes, D. & Paul, M., 15 Apr 2020, In: arXiv.Research output: Contribution to journal › Article › peer-review
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COVID-19 control by computer vision approaches: A survey
Ul-Haq, A., Born, J., Khan, A., Sampaio Gomes, D. P., Chakraborty, S. & Paul, M., 12 Oct 2020, In: IEEE Access. 8, p. 179437-179456 20 p.Research output: Contribution to journal › Article › peer-review
Prizes
Press / Media
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Privacy, blockchain and the Internet of Things – can we keep control of our own identities?
Oliver Burmeister & Anwaar Ul-Haq
20/09/20
1 item of Media coverage
Press/Media: Press / Media
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Privacy an issue with blockchain platforms, rise of digital connectivity, warns UniSA tech researcher
Oliver Burmeister & Anwaar Ul-Haq
12/09/20
1 item of Media coverage
Press/Media: Press / Media
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Can we keep control of our own identities in blockchain?
Oliver Burmeister & Anwaar Ul-Haq
11/09/20
1 item of Media coverage
Press/Media: Press / Media
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University of South Australia says blockchain at odds with privacy obligations
Oliver Burmeister & Anwaar Ul-Haq
10/09/20
2 items of Media coverage
Press/Media: Press / Media
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Australian University Finds Privacy Issues With Blockchain Technology
Oliver Burmeister & Anwaar Ul-Haq
10/09/20
2 items of Media coverage
Press/Media: Press / Media