• 63 Citations
  • 5 h-Index
20052020

Research output per year

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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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Research Output

Evaluating faster-RCNN and YOLOv3 for target detection in multi-sensor data

Ul-Haq, A., Khan, A. & Robinson, R. W., 2020, (Accepted/In press) Statistics for Data Science and Policy Analysis: This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019.

Research output: Book chapter/Published conference paperConference paper

  • Semantic vegetation detection in repeat photography for environmental data analysis

    Khan, A., Ul-Haq, A., ur Rehman, M. & Robinson, R. W., 2020, (Accepted/In press) Statistics for Data Science and Policy Analysis: This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019. Rahman, A. (ed.). 1 ed. Springer Singapore

    Research output: Book chapter/Published conference paperConference paper

    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

  • 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

  • Prizes

    Teaching Excellence Award

    Anwaar Ul-Haq (Recipient), 2018

    Prize: Award

    Press / Media

    Y2K 20 years on: what was all the fuss about?

    Anwaar Ul-Haq

    31/12/19

    1 item of Media coverage

    Press/Media: 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