Publications

Redwan, S.M., Uddin, M.P., Ulhaq, A. et al. Power spectral density-based resting-state EEG classification of first-episode psychosis. Nature Sci Rep 14, 15154 (2024). https://doi.org/10.1038/s41598-024-66110-0 

Zia Ur Rehman, Shamas Islam, A Ulhaq, A Janjua, Effective Land Use Classification through Hybrid Transformer Using Remote Sensing Imagery,  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 (Accepted). 

Touhid Islam, Rashedul Islam, Palash Uddin and Anwaar Ulhaq, ”Spectrally Segmented Enhanced Neural Network for Precise Land Cover Object Classification” in Hyperspectral Imagery in Remote Sens. 2024, 16(5), 807.

Ulhaq et al. (2024) The impact of trauma-informed practices on academic outcomes of First Nation children: A pilot study of culturally responsive supports in Australia,Humanities & Social Sciences Communications.

Ulhaq et al. (2024) "Value Sensitive Design of Social Robots, International Journal of Social Roboticsm

Ul-Haq, A., (2024).OrphaGPT: An Adapted Large Language Model for Orphan Diseases Classification in ACIIDS 2024, Core Ranked B (Accepted)

 Faranak Tohidi, Manoranjan Paul, and Anwaar Ulhaq, "Improved video-based point cloud compression via segmentation, Sensors, 2024

Moshira Abdallaa, Sajid Javed, Muaz Al Radia, Anwaar Ulhaq, Naoufel Werg, (2024), Video Anomaly Detection in 10 Years: A Survey and Outlook, submitted to IEEE Access

Islam, M. R., Islam, M. T., Uddin, M. P., & Ulhaq, A. (2024). Improving Hyperspectral Image Classification with Compact Multi-Branch Deep Learning. Remote Sensing, 16, 18 pages. doi:10.3390/rs16122069 

Ali, Mohammed Eunus, Muhammad Aamir Cheema, Tanzima Hashem, Anwaar Ulhaq, and Muhammad Ali Babar. "Enabling spatial digital twins: Technologies, challenges, and future research directions." Accepted in PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. (2024)

Rogers, M., Ul-Haq, A., Krishnamoorthy, G., Dittman, C., Coffey, Y., Small, E., Kanard, T., Johnson, A., Hébert, M. L., Gossner, M., & Thorsteinsson, E. (In press). Interdisciplinary research collaboration in higher education: improving end-user experience in children’s programs. Issues in Educational Research, 34(4). (Accepted)

Ulhaq, A. (2024). Neuromorphic Correlates of Artificial Consciousness.  https://arxiv.org/abs/2405.02370

Ulhaq, A., Akhtar, N., & Pogrebna, G. (2024). Efficient Diffusion Models for Vision: A Survey. arXiv preprint arXiv:2210.09292. ACM Computing Surveys (in Review)

Yong He, Hongshan Yu, Muhammad Ibrahim, Xiaoyan Liu, Tongjia Chen, Anwaar Ul-Haq, Ajmal, Mian, ”Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling,” in IEEE Transactions on Circuits and Systems for video technology, 2024

Ul-Haq, A., (2024). A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder, Nature Scientific Reports.

Yong He, Hongshan Yu, Tongjia Chen, Anwaar Ulhaq, Saeed Anwar, Ajmal Saeed Mian,PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation, AAAI 2025 Conference Submission

Ulhaq, Anwaar. "Organoid Computer Vision: A Survey and Outlook." (2024). DOI: https://doi.org/10.31224/3883 

Muhammad Zafar Iqbal (CQ University); Anwaar Ulhaq (Central Queensland University); Imran Razzak (UNSW), Unsupervised Nonlinear Deformable Registration Network for 4D CT Lung Imaging , Accepted to present at DICTA2024.

Muhammad Zia Ur Rehman, Syed Islam, Anwaar Ulhaq, Naeem Janjua and David Blake, Multimodal Land Use Classification: Harnessing HSI and LiDAR Integration, International Conference on Digital Image Computing: Techniques and Applications (DICTA 2024).

Ulhaq et al ,A Universal Virtual Reality Training Platform for Microscale Robotic Cell Injection in Biomedical Research and Practice , SN Computer Science 2024.

Haque, M. E., Paul, M., Ulhaq, A., & Debnath, T. (2023). Advanced quantum image representation and compression using a DCT-EFRQI approach. Scientific Reports, 13(1), 4129.

 Sohail, Ammar and Shen, Bojie and Cheema, Muhammad Aamir and Ali, MohammedEunus and Ulhaq, Anwaar and Babar, Muhammad Ali and Qureshi, Asama, Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins. Available at SSRN: https://ssrn.com/abstract=4679546.

  M. Mahedy Hasan; Md Palash Uddin; Md Al Mamun, Ul-Haq, A., (2023). ”A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders” EEE Access. 

Faranak Tohidi, Manoranjan Paul, and Anwaar Ulhaq,Dynamic Point Cloud Compression with Cross-Sectional Approach , Lecture Notes in Computer Science, 2023

Islam, M. T., Islam, M. R., Uddin, M. P., and Anwaar Ulhaq (2023). A Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling. Remote Sensing, 15(14), 3532.

Eunus Ali, M., Aamir Cheema, M., Hashem, T., Ulhaq, A. and Babar, M.A., 2023.Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions.arXiv e-prints, pp.arXiv-2306.

Ulhaq, A., and Krishnamoorthy, G. et al., (2023). Hyperspectral Image Classification via Information Theoretic Dimension Reduction. Remote Sensing, Rank Q1

 Haque, M.E., Paul, M., Tohidi, F., Ulhaq, A. and Debnath, T., 2023, November. Enhancing Image Representation and Compression: An Innovative Nz-Nqer Framework With Block Truncation Quantum Coding. In 2023 International Conference on DigitalImage Computing: Techniques and Applications (DICTA) (pp. 304-311). IEEE.

 Khan, A., Nawaz, U., Ulhaq, A., Gondal, I. and Javed, S., 2023, November. Accurate and Efficient Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery. In 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (pp. 486-493). IEEE.

 Islam, M.R., Sakib, M.K.H., Prome, S.A., Wang, X., Ulhaq, A., Sanin, C. and Asirvatham, D., 2023, October. Machine Learning with Explainability for Suicide Ideation Detection from Social Media Data. In 2023 10th International Conference on Behavioural and Social Computing (BESC) (pp. 1-6). IEEE.

 Haque, M. E., Paul, M., Ulhaq, A., and Debnath, T. (2023). A Novel State Connection Strategy For Quantum Computing To Represent And Compress Digital Images, Accepted in Proceeding of IEEE ICASSP 2023.

 Kenny, R., Irwin, P., Fealy, S., Jones, D., Montgomery, K., Barnett, A., Ul-Haq, A., Weiley, S., Mollart, L. Noble, D., There’s 3 in the bed: Registered Nurses, patients and electronic medical records. 6th Australian Nursing and Midwifery Conference, Newcastle, Australia, 04 May 2023.

Irwin, P., Fealy, S., Barnett, A., Mollart, L., Kenny, R., Montgomery, K., ... & Noble, D. (2023, August). Pioneering the Australian Academic electronic medical records (AAeMR) prototype: affordability, accessibility, and accountability. In Australasian Simulation Congress 2023: ASC 2023. 

Kenny, R., Irwin, P., Fealy, S., Jones, D., Montgomery, K., Barnett, A., ... & Noble, D. (2023, May). There's three in the bed: Registered Nurses, patients and electronic medical records. In 6th Australian Nursing and Midwifery Conference. 

Islam, M.R., Sakib, M.K.H., Ulhaq, A., Akter, S., Zhou, J. and Asirvathamt, D., 2023,July. Sidvis: Designing visual interactive system for analyzing suicide ideation detection.In 2023 27th International Conference Information Visualisation (IV) (pp. 384-389). IEEE. (The Best Paper Award)

Khan, A., Asim, W., Anwaar Ulhaq, Robinson, R.W. A deep semantic vegetation health monitoring platform for citizen science imaging data. PLOS ONE(2022).

Ulhaq, A., & Gomes, D. P. S. (2022). Advances in object and activity detection in remote sensing imagery. MDPI.

Ulhaq, A.; Gomes, D.P.S. Editorial for the Special Issue “Advances in Object and Activity Detection in Remote Sensing Imagery”. Remote Sens. 2022, 14, 1844. https://doi.org/10.3390/rs14081844

 Khan, A., Asim, W., Anwaar Ulhaq, Robinson, R.W. A Multiview Semantic Vegetation Index for Robust Estimation of Urban Vegetation Cover. Remote Sens., 14, 228.https://doi.org/10.3390/rs14010228 (2022), Impact factor 4.6, SJR Rank Q1.

Anwaar Ulhaq, and Gomes, D. P. S. (2022). Editorial for the Special Issue “Advances in Object and Activity Detection in Remote Sensing Imagery”. Remote Sensing, 14(8), 1844.

 Haque, M. E., Paul, M., Ulhaq, A., and Debnath, T. (2022). Block-wise quantum grayscale image representation and compression scheme using state connection. arXiv preprint arXiv:2212.09222.

Ul-Haq, A., Khan, A. (2022). 3D LiDAR Transformer for City-scale Vegetation Segmentation and Biomass Estimation. In The International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia.

Ul-Haq, A., Paul, M., Tohidi, F. (2022). Dynamic point cloud compression using slicing focusing on self-occluded points. In The International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia.

Ul-Haq, A., Paul, M., Tohidi, F. (2022). Dynamic Point Cloud Compression with Cross-Sectional Approach. In he 10th Pacific-Rim Symposium on Image and Video Technology,2022.

Ul-Haq, A. (2022). Adversarial Domain Adaptation for Action Recognition Around the Clock. In The International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia. IEEE Xplore.

Horry, M.; Chakraborty, S.; Pradhan, B.; Paul, M.; Gomes, D.; Anwaar Ulhaq, A.;Alamr, Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-rayImages. Sensors, 21(19), 6655, (2021), Impact factor 3.6, SJR Rank Q1.

 Anwaar Ulhaq, Peter Adams, Tarnya Cox, Asim Khan, Tom Low, Manoranjan Paul, On Automated Real-time Detection of Small Animals in Low-resolution Airborne Thermal Imagery. Remote Sensing, (2021), Impact factor 4.6, SJR Rank Q1.

 M, Islam, M. Jilani, S. Miah, S. Akter, and Anwaar Ulhaq, Discovering Tourist Preference for Electing Destinations: A Pattern Mining based Approach .”, Asia Pacific, Journal of Tourism Research, (2021), Impact factor 2.6, SJR Rank Q1

Khan, A., Asim, W., Ulhaq, A., Ghazi, B., & Robinson, R. W. (2021). Health assessment of eucalyptus trees using siamese network from Google street and ground truth images. Remote Sensing, 13(11), 2194.

Douglas Pinto, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty,Manas Saha, Tanmoy Debnath, D.M. Motiur Rahaman, Potential Features of ICU Admissionin X-ray Images of COVID-19 Patient 2021, International Conference on Image Processing, ICIP 2021, Level A.

Kirsten Wahlstrom, Anwaar Ulhaq, Anisha Fernando, Paul d’Aoust and Oliver Burmeister,Exploring co-design considerations for embedding privacy in holochain apps: a value-sensitive design perspective, ETHICOMP 2021, Level A.

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

Anwaar Ulhaq, “Deep Learning, Past Present and Future: An Odyssey.” engrXiv.May 7, 2021.doi:10.31224/osf.io/vrmk4

Anwaar Ulhaq, “ On Deep Research Problems in Deep Learning”, engrXiv. May 12.doi:10.31224/osf.io/r78ds.

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

Singh, R., Du, J., Zhang, Y., Wang, H., Miao, Y., Sianaki, O. A., & Ulhaq, A. (2020). A framework for early detection of antisocial behavior on Twitter using natural language processing. In Complex, Intelligent, and Software Intensive Systems: Proceedings of the 13th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2019) (pp. 484-495). Springer International Publishing.

Wang, X., Jiang, Z., Li, W., Zarei, R., Huang, G., Ulhaq, A., ... & He, J. (2020). 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, 32(7), e5599.

Ul-Haq, A., & Burmeister, O. (2020). COVID-19 imaging data privacy by federated learning design: A theoretical framework.

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

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

Ulhaq, A. (2020). Can data fusion increase the performance of action detection in the dark?. In Statistics for Data Science and Policy Analysis (pp. 159-171). Springer Singapore.

Khan, A., Ulhaq, A., Robinson, R., & Ur Rehman, M. (2020). Detection of vegetation in environmental repeat photography: a new algorithmic approach in data science. In Statistics for Data Science and Policy Analysis (pp. 145-157). Springer Singapore.

Ulhaq, A., Khan, A., & Robinson, R. (2020). Evaluating faster-RCNN and YOLOv3 for target detection in multi-sensor data. In Statistics for Data Science and Policy Analysis (pp. 185-193). Springer Singapore.

Greig, J., Ul-Haq, A., Dresser, G., Burmeister, O. K., & Rehman, S. U. (2020, September). Intelligent Monitoring of Chronic Illness for the Ageing Rural Population: Opportunities and Cautions. In IFIP International Conference on Human Choice and Computers (pp. 158-170). Cham: Springer International Publishing.

Wahlstrom, K., Ul-haq, A., & Burmeister, O. (2020). Privacy by design: a Holochain exploration. Australasian Journal of Information Systems, 24.

Gomes, D. P., Horry, M. J., Ulhaq, A., Paul, M., Chakraborty, S., Saha, M., ... & Rahaman, D. M. (2020). Mavidh score: A corona severity scoring using interpretable chest x-ray pathology features. 

Gomes, D. P., Horry, M. J., Ulhaq, A., Paul, M., Chakraborty, S., Saha, M., ... & Rahaman, D. M. (2020). Mavidh score: A corona severity scoring using interpretable chest x-ray pathology features.

Khan, A., Nawaz, U., Ulhaq, A., & Robinson, R. W. (2020). Real-time plant health assessment via implementing cloud-based scalable transfer learning on AWS DeepLens. Plos one, 15(12), e0243243.

Gomes, D. P. S., Ozansoy, C., & Ulhaq, A. (2019). Vegetation high-impedance faults’ high-frequency signatures via sparse coding. IEEE Transactions on Instrumentation and Measurement, 69(7), 5233-5242. 

Gomes, D. P., Ozansoy, C., Ulhaq, A., & Júnior, J. C. D. M. V. (2019). The effectiveness of different sampling rates in vegetation high-impedance fault classification. Electric Power Systems Research, 174, 105872. 

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

Md, H., Islam, R., Haque, M. A., Hossain, M. S., Ul-Haq, A., & Sawan, J. J. (2019). Automated face detection, recognition and gender estimation applied to person identification. Journal of Computer Science, 15(3), 395-415. 

Khan, A., Ulhaq, A., & Robinson, R. W. (2019). Multi-temporal registration of environmental imagery using affine invariant convolutional features. In Image and Video Technology: 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings 9 (pp. 269-280). Springer International Publishing. 

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

Anwaar Ulhaq, Xiaoxia Yin, Jing He and Yanchun Zhang, FACE: Fully Automated Context Enhancement for night-time video sequences, Journal of Visual Communication and Image Representation, (2016), 40: 682-693„ Impact Factor 3.13. SJR RANK: Q1

Anwaar Ulhaq, Xiaoxia Yin, Yanchun Zhang and Iqbal Gondal, Action-02MCF: A Robust Space-Time Correlation Filter for Action Recognition in Clutter and Adverse Lighting Conditions, Lecture Notes in Computer Science, (2016), (volume 10016), Impact factor 1.17, SJR RANK: Q2

Anwaar Ulhaq, Iqbal Gondal and Manzur Murshed, On Temporal Order Invariance for view-invariant action matching, IEEE Transactions on Circuits and Systems for video technology, (2013), 23(2): 203-211, Impact Factor 5.61. SJR RANK: Q1

Anwaar Ulhaq, I. Gondal and M. Murshed, On dynamic scene geometry for view invariantvaction matching, In Proc. Computer Vision and Pattern Recognition (CVPR),vColorado Springs, USA. 2011.

 Anwaar Ulhaq, I. Gondal and M. Murshed, Contextual Action Recognition in Nighttimevvideo sequences, In Proc. The International Conference on Digital ImagevComputing: Techniques and Applications (DICTA), Noosa Resort, 2011.

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

 Anwaar Ulhaq, I. Gondal and M. Murshed, Automated multi-sensor color video fusionvfor night-time video surveillance, In Proc. IEEE International Symposium onvComput. and Comm. (ISCC), Riccione, Italy, 2010.

 Anwaar Ulhaq, I. Gondal and M. Murshed, A novel color image fusion QoS measurevfor multi-sensor night vision applications, In Proc. IEEE International Symposiumvon Comput. and Comm.(ISCC), Riccione, Italy, 2010.

 Anwaar Ulhaq, I. Gondal and M. Murshed, SCARF: semi-automatic colourizationvand reliable image fusion, In Proc. The International Conference on Digital ImagevComputing: Techniques and Applications (DICTA), Sydney, 2010.

 Anwaar Ulhaq, I. Gondal and M. Murshed, VSAM: video stabilization for multiple sensors,vIn Proc. The International Conference on Digital Image Computing: Techniquesvand Applications (DICTA), Sydney, 2010.

 Anwaar Ulhaq, I. Gondal and M. Murshed, SCENT: system for color exploitation atvnight-time, In Proc. ARCHER, Melbourne, 2010 [CSIRO OVERALL BEST PAPERcAWARD].

M. Malik, M. A. Gillani, Anwaar ul-Haq, Adaptive image fusion scheme based on Contourlet Transform and Machine Learning , International Review on Computers and Software, Praise Worthy Prize, ISSN 1828 -6003, Vol(3), Issue(1), impact factor 0.87, (2008).

M. H. Malik, M. A. Gillani and Anwaar Ulhaq, Wavelet Based Exposure Fusion , InvProc. World Congress on Engineering, London, UK, 2008.

 M. H. Malik, M. A. Gillani and Anwaar Ulhaq, Adaptive Image Fusion Scheme Basedvon Contourlet Transform, Kernel PCA and Support Vector Machine, In Proc. InternationalvJoint Conferences on Computer, Information, and Systems Sciences,vand Engineering (CISSE), Bridgeport, USA, 2007.

 Anwaar Ulhaq, M.Asad, M.Asif and A. M. Mirza, Multisensor Image Fusion for EffectivevNight Vision through Contourlet Transform and Kernel Principle ComponentvAnalysis, In Proc. International Conference on Wavelet Analysis & MultiratevSystems, Bucharest, Romania,, 2006.

 Anwaar Ulhaq, A. M. Mirza and S. Qamar, An optimized image fusion algorithm for night-time surveillance and navigation, In Proc. IEEE International Conference on Emerging Technologies (ICET), Islamabad, 2005.

 Anwaar Ulhaq, A. M. Mirza and S. Qamar, A novel image fusion algorithm based on Kernel PCA, DWT and structural similarity, In Proc. IASTED International Conference on. Visualization, Imaging, and Image Processing. (VIIP), Benidorm, SPAIN, September, 2005.

Anwaar Ulhaq, A. M. Mirza and S. Qamar, A structural similarity based image fusion algorithm for night vision applications, IBSN: 0-907776-20-5, Chapter 4: Information Mining from Complex Signals and Systems, Inderscience Enterprises Ltd, pp:179-183, 2005.