Selected Publications since 2015

D. R. Catchpoole, S. J. Simoff, P. J. Kennedy, and Q. V. Nguyen, Data Driven Science for Clinically Actionable Knowledge in Diseases. CRC Press, 2024.

A. Gronowski, D. Arness, J. Ng, Z. Qu, C. W. Lau, D. Catchpoole, and Q. V. Nguyen, “The Impact of Presence on User Experience and Performance in Virtual and Augmented Reality,” Virtual Reality, vol. 28, no. 3, p. 133, 2024, doi: https://doi.org/10.1007/s10055-024-01032-w.

J. Ng, D. Arness, A. Gronowski, Z. Qu, C. W. Lau, D. Catchpoole, and Q. V. Nguyen, “Exocentric and Egocentric Views for Biomedical Data Analytics in Virtual Environments—A Usability Study,” Journal of Imaging, vol. 10, no. 1, 2024, doi: https://doi.org/10.3390/jimaging10010003.

Z. Qu, Q. V. Nguyen, C. W. Lau, A. Johnston, P. J. Kennedy, S. Simoff, and D. Catchpoole, “Understanding Cancer Patient Cohorts in Virtual Reality Environment for Better Clinical Decisions: A Usability Study,” BMC Medical Informatics and Decision Making, 2023.

C. W. Lau, D. Catchpoole, S. Simoff, D. Zhang, and Q. V. Nguyen, “A Game-Theoretical Approach to Clinical Decision Making with Immersive Visualisation,” Applied Sciences, vol. 13, no. 18, p. 10178, 2023, doi: https://doi.org/10.3390/app131810178.

G. R. Karetla, D. Catchpoole, P. Kennedy, S. Simoff, and Q. V. Nguyen, “IR-ER-A Hybrid Pipeline for Classifying COVID-19 RNA Seq Data,” in 2023 Australasian Computer Science Week (ACSW ’23), Melbourne, Australia, 2023: ACM, pp. 183-189, doi: https://doi.org/10.1145/3579375.3579399.

Z. Qu, Y. Tegegne, S. J. Simoff, P. J. Kennedy, D. R. Catchpoole, and Q. V. Nguyen, “Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations,” Sydney, Australia, 2022: Springer Nature Singapore, in Data Mining, pp. 58-72.

Z. Qu, C. W. Lau, S. J. Simoff, P. J. Kennedy, Q. V. Nguyen, and D. R. Catchpoole, “Review of Innovative Immersive Technologies for Healthcare Applications,” Innovations in Digital Health, Diagnostics, and Biomarkers, vol. 2, no. 2022, pp. 27-39, 2022.

Q. V. Nguyen, M. L. Huang, and S. Simoff, “Using Hybrid Scatterplots for Visualizing Multi-dimensional Data,” in Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery, B. Kovalerchuk, K. Nazemi, R. Andonie, N. Datia, and E. Banissi Eds. Cham: Springer International Publishing, 2022, pp. 517-538.

C. W. Lau, Z. Qu, D. Draper, R. Quan, A. Braytee, A. Bluff, D. Zhang, A. Johnston, P. J. Kennedy, S. Simoff, Q. V. Nguyen, and D. Catchpoole, “Virtual reality for the observation of oncology models (VROOM): immersive analytics for oncology patient cohorts,” Scientific Reports, vol. 12, no. 1, p. 11337, 2022/07/05 2022, doi: 10.1038/s41598-022-15548-1.

G. R. Karetla, D. R. Catchpoole, and Q. V. Nguyen, “Hybrid Framework for Genomic Data Classification Using Deep Learning: QDeep_SVM,” in Workshop on Mining Data for Financial Applications, 2022: Springer Nature Singapore, p. 451463.

Y. Tegegne, Z. Qu, Y. Qian, and Q. V. Nguyen, “Parallel Nonlinear Dimensionality Reduction Using GPU Acceleration,” in 19th Australasian Conference on Data Mining (AusDM2021) , Brisbane, Australia, 2021, pp. 3-15.

N. D. Lomov, W. Huang, J. Luo, and Q. V. Nguyen, “Cognitive Style’s Effects on User Task Performance in Network Visualisations,” presented at the International Conference on Theory and Application of Diagrams, 2021.

M. Alkhalaileh, R. N. Calheiros, Q. V. Nguyen, and B. Javadi, “Performance Analysis of Mobile, Edge and Cloud Computing Platforms for Distributed Applications,” Mobile Edge Computing, pp. 21-45, 2021.

Q. V. Nguyen, N. Miller, D. Arness, W. Huang, M. L. Huang, and S. Simoff, “Evaluation on interactive visualization data with scatterplots,” Visual Informatics, vol. 4, no. 4, pp. 1-10, 2020, doi: 10.1016/j.visinf.2020.09.004.

Q. V. Nguyen, M. L. Huang, and S. Simoff, “Enhancing Scatter-plots with Start-plots for Visualising Multi-dimensional Data,” presented at the 24 International Conference Information Visualisation, 2020.

M. Alkhalaileh, R. N. Calheiros, Q. V. Nguyen, and B. Javadi, “Data-intensive application scheduling on Mobile Edge Cloud Computing,” Journal of Network and Computer Applications, vol. 167, no. 1, p. 102735, 2020, doi: https://doi.org/10.1016/j.jnca.2020.102735.

J. Tran, Q. V. Nguyen, A. Hol, and S. Simoff, “Reduction of Cognitive Overload in Online Reviews Using Data Visualisation,” presented at the Proceedings of the Australasian Computer Science Week Multiconference, Sydney, NSW, Australia, 2019.

Z. Qu, Q. V. Nguyen, Y. Zhou, and D. R. Catchpoole, “Using Visualization to Illustrate Machine Learning Models for Genomic Data,” presented at the ACSW 2019 Proceedings of the Australasian Computer Science Week Multiconference, Sydney, NSW, Australia, 2019.

Z. Qu, C. W. Lau, Q. V. Nguyen, Y. Zhou, and D. R. Catchpoole, “Visual analytics of genomic and cancer data: a systematic review,” Cancer Informatics, vol. 18, p. 1176935119835546, 2019.

C. W. Lau, Z. Qu, Q. V. Nguyen, S. Simoff, and D. Catchpoole, “Immersive Intelligence Genomic Data Visualisation,” presented at the Proceedings of the Australasian Computer Science Week Multiconference, Sydney, NSW, Australia, 2019.

M. L. Huang, Z. Yue, Q. V. Nguyen, J. Liang, and Z. Luo, “Stroke Data Analysis through a HVN Visual Mining Platform,” presented at the 2019 23rd International Conference in Information Visualization–Part II, Adelaide, Australia, 2019.

S. Garrido, C. Millington, D. Cheers, K. Boydell, E. Schubert, T. Meade, and Q. V. Nguyen, “What works and what doesn’t? A systematic review of digital mental health interventions for depression and anxiety in young people,” Frontiers in Psychiatry, vol. 10, p. 759, 2019, doi: 10.3389/fpsyt.2019.00759.

S. Garrido, D. Cheers, K. Boydell, Q. V. Nguyen, E. Schubert, L. Dunne, and T. Meade, “Young people’s response to six smartphone apps for anxiety and depression: focus group study,” JMIR mental health, vol. 6, no. 10, p. e14385, 2019, doi: 10.2196/14385.

C. Fletcher, W. Huang, D. Arness, and Q. V. Nguyen, “The Role of Working Memory Capacity in Graph Reading Performance,” presented at the 2019 IEEE Pacific Visualization Symposium (PacificVis), 77-81, 2019.

A. Brunker, D. Catchpoole, P. Kennedy, S. Simoff, and Q. V. Nguyen, “Two-Dimensional Immersive Cohort Analysis Supporting Personalised Medical Treatment,” presented at the 2019 23rd International Conference in Information Visualization–Part II, Adelaide, Australia, 2019.

B. S. Alsinglawi, Q. V. Nguyen, U. Gunawardana, S. Simoff, A. Maeder, M. Elkhodr, and M. D. Alshehri, “Passive RFID Localization in the Internet of Things,” in Recent Trends and Advances in Wireless and IoT-enabled Networks: Springer, 2019, pp. 73-81.

M. Alkhalaileh, R. N. Calheiros, Q. V. Nguyen, and B. Javadi, “Dynamic Resource Allocation in Hybrid Mobile Cloud Computing for Data-Intensive Applications,” presented at the International Conference on Green, Pervasive, and Cloud Computing, 2019.

Q. V. Nguyen, C. W. Lau, Z. Qu, M. L. Huang, S. Simoff, and D. R. Catchpoole, “A Mobile Tool for Interactive Visualisation of Genomics Data,” presented at the 9th International Conference on Information Technology in Medicine and Education (ITME), Hangzhou, China, 2018.

Q. V. Nguyen, D. Arness, C. J. Sanderson, S. Simoff, and M. L. Huang, “Enabling Effective Tree Exploration Using Visual Cues,” Journal of Visual Languages and Computing, vol. 47, pp. 44-61, 2018, doi: 10.1016/j.jvlc.2018.06.001.

J. Tran, Q. V. Nguyen, C. Jones, R. Hendery, and S. Simoff, “CorpusViz: Child and Adult Speech Visualisation,” presented at the 21st International Conference on Information Visualisation, London, 2017.

N. H. Khalifa, Q. V. Nguyen, S. Simoff, and D. Catchpoole, “Interaction Visualisation of Complex Genomic Data with Game Engines,” presented at the 21st International Conference on Information Visualisation, London, 2017.

T.-H. Huang, M. L. Huang, Q. V. Nguyen, L. Zhao, W. Huang, and J. Chen, “A space-filling multidimensional visualization (SFMDVis) for exploratory data analysis,” Information Sciences, vol. 390, pp. 32-53, 2017, doi: 10.1016/j.ins.2015.06.031.

B. Alsinglawi, Q. V. Nguyen, U. Gunawardana, A. Maeder, and S. Simoff, “RFID Systems in Healthcare Settings and Activity of Daily Living in Smart Homes: A Review,” E-Health Telecommunication Systems and Networks, vol. 6, pp. 1-17, 2017, doi: 10.4236/etsn.2017.61001.

B. Alsinglawi, M. Elkhodr, Q. V. Nguyen, U. Gunawardana, A. Maeder, and S. Simoff, “RFID Localisation For Internet Of Things Smart Homes: A Survey,” International Journal of Computer Networks & Communications (IJCNC), vol. 9, no. 1, pp. 81-99, January 2017. [Online]. Available: arXiv:1702.02311v1.

W. B. Wang, M. L. Huang, Q. V. Nguyen, W. Huang, K. Zhang, and T.-H. Huang, “Enabling decision trend analysis with interactive scatter plot matrices visualization,” Journal of Visual Languages & Computing, vol. 33, pp. 13-23, 2016, doi: 10.1016/j.jvlc.2015.11.002

J. Tran, Q. V. Nguyen, S. Simoff, and M. L. Huang, “Areas of Life Visualisation: Growing Data-Reliance,” in Cooperative Design, Visualization, and Engineering 13th International Conference, LNCS, Chapter Advances in Visual Computing, vol. 9929, 2016, pp. 227-234.

Q. V. Nguyen, S. Simoff, Y. Qian, and M. L. Huang, “Deep Exploration of Multidimensional Data with Linkable Scatterplots,” in the 9th International Symposium on Visual Information Communication and Interaction, Dallas, Texas, 2016.

Q. V. Nguyen, N. H. Khalifa, P. Alzamora, A. Gleeson, D. Catchpoole, P. J. Kennedy, and S. Simoff, “Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions,” Journal of Imaging, vol. 2, no. 4, pp. 1-17, 2016, doi: 10.3390/jimaging2040029.

J. Liang, M. L. Huang, and Q. V. Nguyen, “Navigation in large hierarchical graph through chain-context views,” Journal of Visualization, vol. 19, no. 3, pp. 543-559, Aug 2016, doi: 10.1007/s12650-015-0329-3.

H. Cook, Q. V. Nguyen, S. Simoff, and M. L. Huang, “Enabling Gesture Interaction with 3D Point Cloud,” presented at the 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzeň, Czech Republic, 2016.

B. Alsinglawi, T. Liu, Q. V. Nguyen, U. Gunawardana, A. J. Maeder, and S. Simoff, “Passive RFID Localisation Framework in Smart Homes Healthcare Settings,” in The Promise of New Technologies in an Age of New Health Challenges, A. J. M. e. al Ed.: IOS Press, 2016, pp. 1-8.

Y. Yang, K. Zhang, J. Wang, and Q. V. Nguyen, “Cabinet Tree: an orthogonal enclosure approach to visualizing and exploring big data,” Journal of Big Data, vol. 2, no. 1, pp. 1-18, 2015, doi: 10.1186/s40537-015-0022-3.

Q. V. Nguyen, K. Zhang, and S. Simoff, “Unlocking the Complexity of Port Data With Visualization,” IEEE Transactions on Human-Machine Systems, vol. 45, no. 2, pp. 272-279, 2015, doi: 10.1109/thms.2014.2369375.

J. Liang, Q. V. Nguyen, S. Simoff, and M. L. Huang, “Divide and Conquer treemaps: Visualizing large trees with various shapes,” Journal of Visual Languages & Computing, vol. 31, pp. 104-127, 2015, doi: 10.1016/j.jvlc.2015.10.009.

N. H. Khalifa, Q. V. Nguyen, S. Simoff, and D. Catchpoole, “A Visualization System for Analyzing Biomedical and Genomic Data Sets Using Unity3D Platform,” In the 8th Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2015), Sydney, Australia, January 2015, 2015.

H. Cook, Q. V. Nguyen, S. Simoff, T. Trescak, and D. Preston, “A Close-Range Gesture Interaction with Kinect,” presented at the Big Data Visual Analytics (BDVA), Hobart, Tasmania, Australia, 2015.