Charles Sturt University
Charles Sturt University

Dr Anwaar Ul-Haq

Dr Anwaar Ul-Haq

PhD (Monash), GCTE (VU), MS, B.Sc. (Hons)

Profile

Dr Anwaar Ul-Haq 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 received a Charles Sturt Teaching Excellence Award in 2018.

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Teaching Responsibilities

  • ITC539: Android App Development
  • ITC561: Cloud Computing
  • ITC556: Database Systems
  • ITC593: Network Security and Cryptography
  • ITC596: IT Risk Management

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Areas of research interest:

  • Signal and Image Processing
  • Machine Learning
  • Deep Convolutional Neural Nets
  • Data Analytics
  • Computer Vision
  • Thermal Imaging
  • Blockchain Technology

Application area:

  • Computer Vision for Ecology
  • Night Vision Surveillance
  • Aged Care and Ethics
  • Food Agility
  • Fault Detection in Power Systems

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Research Supervision

  • Douglas Pinto Gomes (PhD)
  • Adam Poulsen (PhD)
  • Asim Khan (PhD)
  • Ravinder Singh (PhD)
  • Michelle Cely (Honors)

Affiliations:

  • Institute of Electrical and Electronic Engineers (IEEE)
  • Australian Computer Society (ACS)
  • The Australian Pattern Recognition Society (IAPR)

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Publications

2019

Douglas P.S.Gomes, Cagil O. Ul-Haq, A, José Carlosde Melo Vieira Júniorc 2019, 'The effectiveness of different sampling rates in vegetation high-impedance fault classification' Electric Power Systems Research, Volume 174,  105872 https://doi.org/10.1016/j.epsr.2019.105872

Ul-Haq, A 2019, A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing. In Complex, Intelligent, and Software Intensive Systems. Springer Nature.

Ul-Haq, A & Poulsen, A 2019, 'A Post Publication Review of "Emerging Insights of Health Informatics Research: A Literature Analysis for Outlining New Themes"' Australian Journal of Information Systems, vol. 23. https://doi.org/10.3127/ajis.v23i0.2269

Ul-Haq, A, Hannan, MA, Islam, R, Haque, MA, Hossain, MS & Sawan, JJ 2019, 'Automated Face Detection, Recognition and Gender Estimation Applied to Person Identification' Journal of Computer Science, vol. 15, no. 3, pp. 395-415. DOI: 10.3844/jcssp.2019.395.415

Ul-Haq, A 2019, Fundamental Rights and Smart Health Technologies. in Smart Technologies and Fundamental Rights. Brill. (in Press)

Poulsen, A, Allen, M, Burmeister, O, Ul-Haq, A, Rehman, S & Tien, D 2019, 'The role of care robots in managing loneliness among LGBT elderly' Australian Nursing & Midwifery Journal.

Ul-Haq, A 2019, Transforming Ageing in Community: addressing global ageing vulnerabilities through smart communities. in The 9th International Conference on C&T - Transforming Communities.

Ul-Haq, A 2019 'Vegetation High-Impedance Faults’ High-Frequency Signatures via Sparse Coding' arXiv.org.

Ul-Haq, A 2019, Deep Cross-view Convolutional Features for View-invariant Action Recognition. IEEE International Conference on Image Processing, Applications and Systems (IPAS), Sophia Antipolis, France.

Ulhaq, A 2019, Action recognition in the dark via deep representation learning. in IEEE 3rd International Conference on Image Processing, Applications and Systems, Applications and Systems, Sophia Antipolis, France.

2018

Subramani, S, Wang, H, Islam, MR, Ul-Haq, A & O'Connor, M 2018, Child abuse and domestic abuse: Content and feature analysis from social media disclosures. in J Wang, C Gao, J Chen & J Qi (eds), Databases theory and applications: 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, May 24-27, 2018, proceedings. vol. 10837, Springer, Champagne, Switzerland, pp. 174-185, 29th Australasian Database Conference, Gold Coast, Australia, 24/05/18. https://doi.org/10.1007/978-3-319-92013-9_14.

Ul-Haq, A, He, J & Zhang, Y 2018, Deep actionlet proposals for driver's behavior monitoring. in 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 1-6, 32nd International Image and Vision Computing New Zealand Conference, Christchurch, New Zealand, 04/12/17. https://doi.org/10.1109/IVCNZ.2017.8402447.

Gomes, DPS, Ozansoy, C & Ul-Haq, A 2018, High-frequency spectral analysis of high impedance vegetation faults on a three-wire system. in 2017 Australasian Universities Power Engineering Conference (AUPEC). IEEE, Melbourne, VIC., pp. 1-5, 2017 Australasian Universities Power Engineering Conference (AUPEC) , Melbourne, Australia, 19/11/17. https://doi.org/10.1109/AUPEC.2017.8282456.

Ul-Haq, A, Yin, X, He, J & Zhang, Y 2018, 'On Space-time filtering framework for matching human actions across multiple viewpoints' IEEE Transactions on Image Processing, vol. 27, no. 3, pp. 1230-1242. https://doi.org/10.1109/TIP.2017.2765821.

Gomes, DPS, Ozansoy, C & Ul-Haq, A 2018, 'High-sensitivity vegetation high-impedance fault detection based on signal's high-frequency contents' IEEE Transactions on Power Delivery, vol. 33, no. 3, pp. 1398-1407. https://doi.org/10.1109/TPWRD.2018.2791986.

Islam, MR, Kabir, MA, Ahmed, A, Kamal, ARM, Wang, H & Ul-Haq, A 2018, 'Depression detection from social network data using machine learning techniques' Health Information Science and Systems, vol. 6, no. 1, 8, pp. 1-12. https://doi.org/10.1007/s13755-018-0046-0.

2017

Islam, MR, Yin, X, Ul-Haq, A, Zhang, Y, Wang, H, Anjum, N & Kron, T 2017, 'A survey of graph based complex brain network analysis using functional and diffusional MRI' American Journal of Applied Sciences, vol. 14, no. 12, pp. 1186-1208. https://doi.org/10.3844/ajassp.2017.1186.1208.

2016

Ul-Haq, A, Yin, X, Zhang, Y & Gondal, I 2016, Action-02MCF: A robust space-time correlation filter for action recognition in clutter and adverse lighting conditions. in J Blanc-Talon, C Distante, W Philips, D Popescu & P Scheunders (eds), Advanced Concepts for Intelligent Vision Systems. vol. 10016, Lecture Notes in Computer Science, no. 10016, Springer, Champagne, Il., pp. 465-476. https://doi.org/10.1007/978-3-319-48680-2_41.

Ul-Haq, A, Yin, X, He, J & Zhang, Y 2016, 'FACE: Fully Automated Context Enhancement for night-time video sequences' Journal of Visual Communication and Image Representation, vol. 40, no. B, pp. 682-693. https://doi.org/10.1016/j.jvcir.2016.08.008.

2013

Ul-Haq, A, Gondal, I & Murshed, M 2013, 'On temporal order invariance for view-invariant action recognition' IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 2, pp. 203-211.

Ul-Haq, A 2013, 'Visual cues for view-invariant action recognition', Doctor of Philosophy Thesis, Monash University.

2011

Ul-Haq, A, Gondal, I & Murshed, M 2011, On dynamic scene geometry for view-invariant action matching: CVPR 2011. In CVPR 2011. IEEE, Colorado Springs, CO., pp. 3305-3312. https://doi.org/10.1109/CVPR.2011.5995690

Ul-Haq, A 2011, Contextual Action Recognition in Night-time video sequences. in The International Conference on Digital Image Computing: Techniques and Applications (DICTA).

2010

Ul-Haq, A 2010, A novel color image fusion QoS measure for multi-sensor night vision applications. in A novel color image fusion QoS measure for multi-sensor night vision applications: In Proc. IEEE International Symposium on Comput. and Comm.(ISCC). IEEE.

Ul-Haq, A 2010, Automated multi-sensor color video fusion for night-time video surveillance. in Automated multi-sensor color video fusion for night-time video surveillance: In Proc. IEEE International Symposium on Comput. and Comm. (ISCC), . IEEE.

Ul-Haq, A 2010, SCARF: semi-automatic colorization and reliable image fusion. in SCARF: semi-automatic colorization and reliable image fusion: In Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Ul-Haq, A 2010, VSAM: video stabilization for multiple sensors: In Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA), . in VSAM: video stabilization for multiple sensors: In Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA).

2008

Malik, M, Gillani, MA & Ul-Haq, A 2008, 'Adaptive image fusion scheme based on Contourlet Transform and Machine Learning' International Review on Computers and Software, vol. 3, no. 1.

Ul-Haq, A 2008, Wavelet Based Exposure Fusion: In Proc. World Congress on Engineering . in Wavelet Based Exposure Fusion : In Proc. World Congress on Engineering, July 2 - 4, 2008, London, U.K.

2007

Ul-Haq, A 2007, Adaptive Image Fusion Scheme Based on Contourlet Transform, Kernel PCA and Support Vector Machine: In Proc. International Joint Conferences on Computer, Information, and Systems Sciences, Bridgeport, USA.

2006

Ul-Haq, A 2006, Image Fusion for Effective Night Vision through Contourlet Transform and Kernel Principle Component Analysis, In Proc. WAMUS'06 Proceedings of the 6th WSEAS international conference on wavelet analysis & multirate systems . Bucharest, Romania .

2005

Ul-Haq, A 2005, An optimized image fusion algorithm for night-time surveillance and navigation: In Proc. IEEE International Conference on Emerging Technologies ., Islamabad, Pakistan.

Ul-Haq, A 2005, A novel image fusion algorithm based on Kernel PCA, DWT and structural similarity: In Proc. IASTED International Conference on. Visualization, Imaging, and Image Processing, Benidorm, SPAIN.

Ul-Haq, A 2005, A structural similarity based image fusion algorithm for night vision applications, In Proc. IEEE International Conference on Systems, Signals and Image Processing, pp. 179 – 183.

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