Lecturers

Dr Anwaar Ul-Haq

PhD (Monash), OELP (Oxford), PCMA (MIT), PCBA (Harvard), GCTE (VU)

Lecturer (Software Development)
Port Macquarie

Profile

Dr Anwar Ulhaq is serving as a lecturer and deputy leader, Machine Vision and Digital Health Research in the School of Computing and Mathematics, Charles Sturt University.  Anwaar holds a PhD (Artificial Intelligence) from Monash University, Australia. He has extensive teaching and research experience from reputed Australian universities including Victoria University, Swinburne University of Technology and Central Queensland University.  He has also worked a research fellow at the  Institute for Sustainable Industries & Liveable Cities, Victoria University, Australia. He received a Charles Sturt Teaching Excellence Award in 2018.  His research interests include signal and image processing, deep learning, data analytics and computer vision. He has published more than 50 peer-reviewed papers in reputed journals and conferences.

Anwar's Google Scholar profile can be found at: https://scholar.google.com/citations?user=2p4PBrkAAAAJ&hl=en

Teaching Responsibilities

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

Research

Areas of research interest

  • Computer Vision and Deep Learning
  • Signal and Image Processing
  • Data and Business Analytics
  • Thermal Imaging and Night Vision
  • Blockchain Technology and Computer Ethics

Research Grants

  1. Anwaar Ulhaq (Chief Investigator), Prof. Manoranjan Paul, Multimodal Imagery for Assessment of Crop Damage A$115,000, Department of Primary Industries (DPI) Research Funding, 2020-2022.
  2. Anwaar Ulhaq (Chief Investigator), Prof. Ajmal Mian, Automated Animal Species Detection and their habitat Identification using deep Visual analytics of UAV Thermal Imagery A$50,000, Department of Primary Industries (DPI) Research Funding, 2019-2020.
  3. Professor Oliver Burmeister, Anwaar Ulhaq (co-investigator), Associate Professor Russell Roberts,Adjunct Associate Professor Susan Field,Dr Holly Randell-Moon and Dr Sabih Rehman, Technology in Homes project Evaluation, MidCoast Assist (Ageing Services) AUD 20,000, 2019-2020.
  4. Manoranjan Paul, Anwaar Ulhaq (co-investigator), Subrata Chakraborty (UTS), Manash Saha (Manning Hospital, NSW), Motiur Rahaman, Tanmoy Debnath, The Corona Score: Assessment and monitor the progression of COVID-19 using artificial intelligence with multi-modal data, AUD 30,000.
  5. Ashad Kabir,Anwaar Ulhaq (co-investigator), Oliver Burmeister, Lihong Zheng, Zahid Islam, Faizur Rahman (Google) Designing privacy preserving and secure contact tracing mobile apps to combat COVID-19, AUD 12,000.
  6. Anwaar Ulhaq (Chief Investigator), Charles Sturt University Research Development Fund 2019., A$10000
  7. Victoria University Research Infrastructure Fund 2016, Dell PowerEdge Server and lab development for medical image data storage and processing, Xiaoxia Yin, Jine he, Yuan Miao, Anwaar Ulhaq (co-investigator) and Yanchun Zhang, A$107,000.
  8. Anwaar Ulhaq (Chief Investigator),Victoria University Teaching and Learning grant 2016, Interactive Classroom with duplex communication embedded into VU Collaborate, and Prof. Yuan Miao, A$6500.
  9. Anwaar Ulhaq (Chief Investigator), Victoria University Research Startup Fund 2015, Intelligent Healthcare Monitoring System with sensor fusion, A$5000.
  10. Anwaar Ulhaq (Chief Investigator), Victoria University College of Engineering and Science Dean’s Research Fund 2015, Machine Learning for Healthcare,, A$4000.
  11. Charles Sturt University Research Development Fund 2018, Deep Dive into CRC, Dr Anwaar Ulhaq, A$4000

Professional Activities

Professional Services

  1. Guest Editor: Special Issue ”Advances in Object and Activity Detection in Remote Sensing Imagery”, A special issue of MDPI Remote Sensing (ISSN 2072-4292). Impact factor 4.05, SJR: Q1 Journal.To be published in 2021
  2. General Workshop Chair: The ninth Pacific-Rim Symposium on Image and Video Technology (PSIVT 2019) will be held at Sydney, Australia from 18th to 22th November, 2019. 2019
  3. Publicity Chair: Applied Statistics and Policy Analysis Conference 2019

Research Supervision

Graduated Student:

  • Douglas Pinto Gomes (PhD)

In Progress:

  • Adam Poulsen (PhD)
  • Asim Khan (PhD)
  • Ravinder Singh (PhD)

Affiliations

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

Research Publications

2021

Adam Poulsen, Anwaar Ulhaq, Fundamental Rights and Smart Health Technologies, (Book Chapter) Book: Smart Technologies and Fundamental Rights, Brill Publishers, Netherlands (2021)

2020

Anwaar Ulhaq, Jannis Borne, Asim Khan, Douglas Gomes, and Manoranjan Paul, COVID-19 Control by Computer Vision Approaches A Survey.”, IEEE Access, (2020), Impact factor 4.6, SJR Rank Q1

Horry, Michael, Chakraborty S, Paul M, Anwaar Ulhaq, Pradhan B, Saha M, Shukla N. COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data. IEEE Access,(2020), Impact factor 4.6, 2020 Aug 14;8:149808-24., SJR Rank Q1

Khan, A., Nawaz, U., Anwaar Ulhaq, and Robinson, R.W., Real-time Plant Health Assessment via implementing Cloud-based scalable transfer learning on AWS DeepLens. 2020 arXiv:2009.04110, PLOS ONE 2020, SJR Rank Q1.

Anwaar Ulhaq et al., Active Contours with Local and Global Energy Based-on Fuzzy Clustering and Maximum a Posterior Probability for Retinal Vessel Detection, Concurrency and Computation: Practice and Experience,(2020), Impact factor 1.72, SJRRANK: Q2

Anwaar Ulhaq, ”The role of information fusion in transfer learning of obscure human activities during night”, ISIF Journal of Advances in Information Fusion,(2020), Impact factor 1.38, SJRRANK: Q2

Kirsten Wahlstrom, Anwaar Ulhaq, Oliver Burmeister, ”Privacy by design: a Holochain exploration” Australasian Journal of Information Systems,(2020)„ Impact factor 1.0, SJR RANK: Q2

Jenni Greig, Anwaar Ulhaq , Greg Dresser , Oliver K. Burmeister , Sabih-Ur Rehman, Intelligent Monitoring of Chronic Illness for the Ageing Rural Population: Opportunities and Cautions, HCC14: Human Choice and Computers Conference, Faculty of Global Informatics (iTL), Japan 2020.

Anwaar Ulhaq, Mike Horry, Ammar Haider and Oliver Burmeister, COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework. arXiv preprint arXiv:2010.06177, 8th Conference of the Australasian Institute of Computer Ethics, AiCE 2020, Adelaide, Australia.

Oliver Burmeister, Paul d’Aoust, Anwaar Ulhaq and Kirsten Wahlstrom, Holochain and Privacy. 8th Conference of the Australasian Institute of Computer Ethics, AiCE 2020, Adelaide, Australia.

Douglas Pinto, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty, Manas Saha, Tanmoy Debnath, D.M. Motiur Rahaman, Potential Features of ICU Admission in X-ray Images of COVID-19 Patient 2020,arXiv arXiv:2009.12597.

Douglas P. S. Gomes, Michael J. Horry,Anwaar Ulhaq, Manoranjan Paul, Subrata Chakraborty, Manash Saha, Tanmoy Debnath, D.M. Motiur Rahaman, MAVIDH Score: A Corona Severity Scoring using Interpretable Chest X-Ray Pathology Features.”, arXiv:2011.14983.

Anwaar Ulhaq, Pest Animal’s Detection, and Habitat Identification in Low-resolution Airborne Thermal Imagery. IEEE Geoscience and Remote Sensing Letters 2020, (doi: 10.20944/preprints202009.0480.v1).

2019

Douglas Gomes, Cagil Ozansoy, Anwaar Ulhaq. Vegetation High-Impedance Faults’ High-Frequency Signatures via Sparse Coding. IEEE Transactions on Instrumentation & Measurement, DOI: 10.1109/TIM.2019.2950822, (2019), Impact Factor 2.79,SJR RANK: Q1

Douglas Gomes, Cagil Ozansoy, Anwaar Ulhaq, José Carlosde Melo Vieira Júniorc, The effectiveness of different sampling rates in vegetation high-impedance fault classification, Electric Power Systems Research, Volume 174, (2019), Impact Factor 2.85, SJR RANK: Q1

Adam Poulsen,Anwaar Ulhaq, A Post Publication Review of ”Emerging Insights of Health Informatics Research: A Literature Analysis for Outlining New Themes”, Australasian Journal of Information Systems ,(2019), Impact factor 1.0, SJR RANK: Q2

Anwaar Ul-Haq et al.”Automated Face Detection, Recognition and Gender Estimation Applied to Person Identification.” Journal of Computer Science, (2019): 395-415.

Anwaar Ulhaq, Kirsten Wahlstrom and Oliver K. Burmeister, Privacy and the Blockchain, 8th Conference of the Australasian Institute of Computer Ethics 2019.

Asim Khan, Anwaar Ulhaq and Randall Robinson, Multi-temporal Registration of Environmental Imagery using Affine Invariant Convolutional Features, The 9th Pacific-Rim Symposium on Image and Video Technology, Sydney, Australia, 2019

Anwaar Ulhaq, Asim Khan and Randall Robinson, Evaluating Faster-RCNN and YOLOv3 for Multi-sensor Imaging Data, Applied Statistics and Policy Analysis Conference, 2019.

Anwaar Ulhaq, Can Data Fusion increase the Performance of Action Detection and Recognition in the Dark? Applied Statistics and Policy Analysis Conference, 2019.

Asim Khan, Anwaar Ulhaq and Randall Robinson, Semantic Vegetation Detection in Repeat Photography for Environmental Data Analysis, Applied Statistics and Policy Analysis Conference, 2019 BEST PAPER AWARD.

Jenni Greig, SabihUr Rehman,Anwaar Ulhaq, Greg Dresser and Oliver K. Burmeister, Transforming Ageing in Community: addressing global ageing vulnerabilities through smart communities, In proceedings of the 9th International Conference on C&T Transforming Communities, 2019.

R. Singh, Anwaar Ulhaq, A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing, (Accepted) Complex, Intelligent, and Software Intensive Systems, Springer Nature, (2019)

2018

Anwaar Ulhaq, Xiaoxia Yin, Jing He and Yanchun Zhang, On Space-time filtering framework for matching human actions across multiple viewpoints, IEEE Transactions on Image Processing, 27(3):1230-1242,(2018), Impact Factor 6.79, SJR RANK: Q1

Douglas Gomes, Cagil Ozansoy, Anwaar Ulhaq, High-Sensitivity Vegetation High Impedance Fault Detection based on Signal’s High-Frequency Contents, IEEE Transactions on Power Delivery, TPWRD-00795-2018,(2018), Impact factor 4.42. SJR RANK: Q1

Md Rafiqul Islam, Arshad Kabir, Ashir Ahmad, Abu Rehan, Anwaar Ulhaq and Hua Wang Depression detection from social network data using machine learning techniques, Springer Health Information Science and Systems,(2018), 6:8, Impact Factor 4.5, SJR RANK: Q1

Md Rafiqul Islam, Xiaoxia Yina, Anwaar Ulhaq, Yanchun Zhang, Hua Wang, Tomas Kron, A comprehensive survey of graph-based complex brain network analysis using functional and diffusion MRI, The American Journal of Applied Sciences, Volume 14, Issue 12,(2018), Impact factor 0.52.

Anwaar Ulhaq, Action Recognition in The Dark via Deep Multi-view Learning, international conference on Image Processing Applications and System, Inria Sophia Antipolis, France,2018.

Anwaar Ulhaq, Deep Cross-view Convolutional Features for View-invariant Action Recognition, international conference on Image Processing Applications and System, Inria Sophia Antipolis, France, 2018.

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.

Anwaar Ulhaq, Jing He and Yanchun Zhang, Deep Actionlet proposals for driver’s behaviour monitoring, IEEE Image and Vision Computing New Zealand, Christchurch, New Zealand, 2017.

Douglas Pinto Gomes, Cagil Ozansoy, Anwaar Ulhaq, High-Frequency Spectral Analysis of High Impedance Vegetation Faults on a Three-wire System, IEEE Australasian Universities Power Engineering Conference, November 2017, Melbourne, Australia.

2016

Ul-Haq, A, Yin, X, Zhang, Y & Gondal, I, 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, 2016. https://doi.org/10.1007/978-3-319-48680-2_41.

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

2013

Ul-Haq, A, Gondal, I & Murshed, M, ‘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, 2013.

Ul-Haq, A, ‘Visual cues for view-invariant action recognition’, Doctor of Philosophy Thesis, Monash University, Australia, 203.

2011

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

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

Anwaar Ulhaq, I. Gondal and M. Murshed, Action recognition using spatio-temporal distance classifier correlation filters, In Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA), Noosa Resort, 2011.

2010

Ul-Haq, A, 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 2010.

Ul-Haq, A, 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, 2010.

Ul-Haq, A, 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), 2010.

Ul-Haq, A, 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), 2010.

Anwaar Ulhaq, I. Gondal and M. Murshed, SCENT: a system for colour exploitation at night-time, In Proc. ARCHER, Melbourne, 2010 [CSIRO OVERALL BEST PAPER AWARD].

2008

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

Ul-Haq, A, 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, 2008.

2007

Ul-Haq, A , 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, 2007.

2006

Ul-Haq, A, 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 & multi-rate systems, Bucharest, Romania, 2006.

2005

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

Ul-Haq, A , 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,2005.

Ul-Haq,  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, 2005.

National / International Media Coverage

Computerworld : Aussie developers get quantum computing service in the cloud Posted 22/07/2020, By Samira Sarraf

Port News Charles Sturt University lecturer Anwaar Ulhaq discusses Y2K 20 years on Posted 31/12/19, 12 PM By Robert Dougherty

Port News Computer science researchers are using thermal imaging to help locate animals in firezones Posted 04/12/19, 10:18am By Laura Telford

ABC News How maths can be used to prevent another St Patrick's Day fire Posted 26 Mar 2018, 3:44pm By Dominic Cansdale, Steve Martin and Sian Johnson

ABC News Could robots help the elderly feel less lonely? Posted 08/05/19, 10:18am By Sarah Maunder

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