If you made any changes in Pure these will be visible here soon.

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

Fingerprint Dive into the research topics where Anwaar Ul-Haq is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 10 Similar Profiles
Computer vision Engineering & Materials Science
Public health Engineering & Materials Science
Invariance Engineering & Materials Science
Learning systems Engineering & Materials Science
Lighting Engineering & Materials Science
Template matching Engineering & Materials Science
Electric network analysis Engineering & Materials Science
Face recognition Engineering & Materials Science

Network 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. 8708903

Research output: Book chapter/Published conference paperConference 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 paperConference paper

Public health
Learning systems
Processing

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 journalArticle

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 Nature

Research output: Book chapter/Published conference paperConference paper

Prizes

Teaching Excellence Award

Anwaar Ul-Haq (Recipient), 2018

Prize: Award

Press / Media

Could robots help the elderly feel less lonely?

Anwaar Ul-Haq

08/05/19

1 Media contribution

Press/Media: Press / Media

Could robots help the elderly feel less lonely?

Adam Poulsen & Anwaar Ul-Haq

08/05/19

1 item of Media coverage

Press/Media: Press / Media

Robots to help lonely

Anwaar Ul-Haq

30/03/19

1 item of Media coverage

Press/Media: Press / Media