Research Output per year
Personal profile
Personal profile
Currently Involved in research at Charles Sturt University.
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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Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2005 2019
Action recognition in the dark via deep representation learning
Ulhaq, A., 06 May 2019, IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018. IEEE, Institute of Electrical and Electronics Engineers, p. 131-136 6 p. 8708903Research output: Book chapter/Published conference paper › Conference paper
Fusion reactions
Lighting
Sensors
A framework for early detection of antisocial behavior on Twitter using natural language processing
Singh, R., Du, J., Zhang, Y., Wang, H., Miao, Y., Ameri Sianaki, O. & Ul-Haq, A., 21 Jun 2019, Complex, Intelligent, and Software Intensive Systems: Proceedings of the 13th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2019). Barolli, L., Khadeer Hussain, F. & Ikeda, M. (eds.). Switzerland: Springer Nature, Vol. 993. p. 484-495 12 p. (Advances in Intelligent Systems and Computing; vol. 993).Research output: Book chapter/Published conference paper › Conference paper
Public health
Learning systems
Processing
A Post Publication Review of "Emerging Insights of Health Informatics Research: A Literature Analysis for Outlining New Themes"
Ul-Haq, A. & Poulsen, A., 2019, In : Australian Journal of Information Systems. 23Research output: Contribution to journal › Article
Open Access
File
Automated Face Detection, Recognition and Gender Estimation Applied to Person Identification
Md, H., Islam, R., Haque, M. A., Hossain, M. S., Ul-Haq, A. & Sawan, J. J., 2019, In : Journal of Computer Science. 15, 3, p. 395-415 21 p.Research output: Contribution to journal › Article
Face recognition
Convolution
Neural networks
Computer vision
Computational complexity
Can Data Fusion increase the Performance of Action Detection and Recognition in the Dark?
Ul-Haq, A., 2019, Applied Statistics and Policy Analysis Conference, 2019. Springer NatureResearch output: Book chapter/Published conference paper › Conference paper
Prizes
Press / Media
Could robots help the elderly feel less lonely?
08/05/19
1 Media contribution
Press/Media: Press / Media
Could robots help the elderly feel less lonely?
08/05/19
1 item of Media coverage
Press/Media: Press / Media
Charles Sturt University's Adam Poulsen is researching how robots can help older LGBT+ people who are lonely
30/03/19
1 Media contribution
Press/Media: Press / Media