Dr Marzia Hoque Tania

Dr Marzia Hoque Tania

Lecturer
  • PhD in Applied AI, Anglia Ruskin University (ARU), United Kingdom (2019).
  • MPhil in Materials Science, Bangladesh University of Engineering and Technology (BUET), Bangladesh (2014).
  • BSc in Electrical and Electronic Engineering, Ahsanullah University of Science and Technology (AUST), Bangladesh (2011).
Medicine & Health
Centre for Big Data Research in Health

I am an early-career clinical machine learning researcher, currently working as a Lecturer of Health Data Science at the Centre for Big Data Research in Health, UNSW. My academic background is diverse, spanning applied Artificial Intelligence (AI), Electrical and Electronic Engineering, and Materials Science. I completed my PhD at the Anglia Ruskin University, UK, in 2019 with the support of an EU scholarship. My doctoral research focused on developing intelligent systems for pathological tests, utilising computer vision and machine learning on point-of-care platforms.

With over a decade of experience in the digital healthcare sector, I served as a postdoctoral researcher at the University of Oxford, UK, primarily focusing on machine learning with electronic health records in the Computational Health Informatics (CHI) lab. Before my time at the CHI Lab, I worked as a research fellow at the Medical Technology Research Centre (MTRC), Anglia Ruskin University, contributing to projects involving AI for unmet healthcare and social needs. Additionally, I advocate for healthcare accessibility through philanthropy and serve as a guest lecturer at Nottingham Trent University, UK, addressing ethical, legal, and social dimensions of Big Data Analytics. I also hold the position of Health and Technology Fellow at the Youth Policy Forum in Bangladesh.

  • Book Chapters | 2021
    Kaiser MS; Al Mamun S; Mahmud M; Tania MH, 2021, 'Healthcare Robots to Combat COVID-19', in Lecture Notes on Data Engineering and Communications Technologies, pp. 83 - 97, http://dx.doi.org/10.1007/978-981-15-9682-7_10
  • Journal articles | 2023
    Elhaj H; Achour N; Tania MH; Aciksari K; Hoque Tania M, 2023, 'A comparative study of supervised machine learning approaches to predict patient triage outcomes in hospital emergency departments', Array, 17, pp. 100281, http://dx.doi.org/10.1016/j.array.2023.100281
    Journal articles | 2023
    Hoque Tania M; Kaiser MS; Abu-Hassan K; Hossain MA, 2023, 'Pathological test type and chemical detection using deep neural networks: a case study using ELISA and LFA assays', Journal of Enterprise Information Management, 36, pp. 790 - 817, http://dx.doi.org/10.1108/JEIM-01-2020-0038
    Journal articles | 2023
    Khan S; Naeem MK; Tania MH; Refat N; Rahman MA; Patwary M, 2023, 'A modified mental state assessment tool for impact analysis of virtual reality-based therapeutic interventions in patients with cognitive impairment', Digital Health, 9, http://dx.doi.org/10.1177/20552076231203800
    Journal articles | 2022
    Tania MH; Hossain MR; Jahanara N; Andreev I; Clifton DA; Hoque Tania M, 2022, 'Thinking Aloud or Screaming Inside: Exploratory Study of Sentiment Around Work', JMIR Formative Research, 6, pp. e30113, http://dx.doi.org/10.2196/30113
    Journal articles | 2021
    Biswas M; Tania MH; Shamim Kaiser M; Kabir R; Mahmud M; Kemal AA, 2021, 'ACCU3RATE: A mobile health application rating scale based on user reviews', PLoS ONE, 16, http://dx.doi.org/10.1371/journal.pone.0258050
    Journal articles | 2020
    Hoque Tania M; Lwin KT; Shabut AM; Najlah M; Chin J; Hossain MA, 2020, 'Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays', Expert Systems with Applications, 139, http://dx.doi.org/10.1016/j.eswa.2019.112843
    Journal articles | 2020
    Vogiatzaki M; Zerefos S; Tania MH, 2020, 'Enhancing city sustainability through smart technologies: A framework for automatic pre-emptive action to promote safety and security using lighting and ICT-based surveillance', Sustainability (Switzerland), 12, http://dx.doi.org/10.3390/su12156142
    Journal articles | 2019
    Tania MH; Lwin K; Hossain MA, 2019, 'Advances in automated tongue diagnosis techniques.', Integr Med Res, 8, pp. 42 - 56, http://dx.doi.org/10.1016/j.imr.2018.03.001
    Journal articles | 2018
    Shabut AM; Hoque Tania M; Lwin KT; Evans BA; Yusof NA; Abu-Hassan KJ; Hossain MA, 2018, 'An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time', Expert Systems with Applications, 114, pp. 65 - 77, http://dx.doi.org/10.1016/j.eswa.2018.07.014
    Journal articles | 2018
    Sherratt F; Welfare K; Hallowell M; Hoque Tania M, 2018, 'Legalized Recreational Marijuana: Safety, Ethical, and Legal Perceptions of the Workforce', Journal of Construction Engineering and Management, 144, http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001502
    Journal articles | 2017
    Abuhassan KJ; Bakhori NM; Kusnin N; Azmi UZM; Tania MH; Evans BA; Yusof NA; Hossain MA, 2017, 'Automatic diagnosis of tuberculosis disease based on Plasmonic ELISA and color-based image classification', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 4512 - 4515, http://dx.doi.org/10.1109/EMBC.2017.8037859
    Journal articles | 2014
    Tania MH; Kurny ASW; Gulshan F, 2014, 'The Prospect of Bipinganj Sand in High Tech Applications', Procedia Engineering, 90, pp. 172 - 175, http://dx.doi.org/10.1016/j.proeng.2014.11.832
  • Conference Papers | 2023
    Chauhan VK; Molaei S; Tania MH; Thakur A; Zhu T; Clifton DA, 2023, 'Adversarial De-confounding in Individualised Treatment Effects Estimation', in Proceedings of Machine Learning Research, pp. 837 - 849
    Conference Papers | 2023
    Han TA; Pandit D; Joneidy S; Hasan MM; Hossain J; Hoque Tania M; Hossain MA; Nourmohammadi N, 2023, 'An Explainable AI Tool for Operational Risks Evaluation of AI Systems for SMEs', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, pp. 69 - 74, http://dx.doi.org/10.1109/SKIMA59232.2023.10387301
    Conference Papers | 2023
    Nahiduzzaman M; Kaiser MS; Ahmed MR; Tania MH, 2023, 'An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control', in Lecture Notes in Networks and Systems, pp. 309 - 319, http://dx.doi.org/10.1007/978-981-19-9483-8_26
    Conference Papers | 2023
    Tania MH; Clifton DA, 2023, 'Unleashing the Power of Federated Learning in Fragmented Digital Healthcare Systems: A Visionary Perspective', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, pp. 40 - 44, http://dx.doi.org/10.1109/SKIMA59232.2023.10387304
    Conference Papers | 2022
    Hasan MM; Knight P; Tania MH; Bitto AK; Das A; Punja H, 2022, 'A Novel Framework for Co-designing of An Artificial Intelligence Based Television-enabled Application to Address Social Isolation and Alleviating Loneliness for Older People', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, pp. 42 - 47, http://dx.doi.org/10.1109/SKIMA57145.2022.10029400
    Conference Papers | 2022
    Mahmud M; Kaiser MS; Rahman MA; Wadhera T; Brown DJ; Shopland N; Burton A; Hughes-Roberts T; Mamun SA; Ieracitano C; Tania MH; Moni MA; Islam MS; Ray K; Hossain MS, 2022, 'Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 356 - 370, http://dx.doi.org/10.1007/978-3-031-05039-8_26
    Conference Papers | 2022
    Tania MH; Kaiser MS; Shabut AM; Abu-Hassan K; Mahmud M; Hossain MA, 2022, 'iTB-test: An Intelligent Image-enabled Diagnostic System for In Vitro Screening of Infectious Diseases', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, pp. 1 - 6, http://dx.doi.org/10.1109/SKIMA57145.2022.10029556
    Conference Papers | 2020
    Tania MH; Andreev I; Temdee P, 2020, 'Arts and Science of Digital Mental Health Support', in 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2020, pp. 20 - 23, http://dx.doi.org/10.1109/ECTIDAMTNCON48261.2020.9090741
    Conference Papers | 2020
    Zohora MF; Tania MH; Kaiser MS; Mahmud M, 2020, 'Forecasting the Risk of Type II Diabetes using Reinforcement Learning', in 2020 Joint 9th International Conference on Informatics, Electronics and Vision and 2020 4th International Conference on Imaging, Vision and Pattern Recognition, ICIEV and icIVPR 2020, http://dx.doi.org/10.1109/ICIEVicIVPR48672.2020.9306653
    Conference Papers | 2019
    Tania MH; Lwin KT; Shabut AM; Abu-Hassan KJ; Kaiser MS; Hossain MA, 2019, 'Assay type detection using advanced machine learning algorithms', in 2019 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019, http://dx.doi.org/10.1109/SKIMA47702.2019.8982449
    Conference Papers | 2019
    Temdee P; He CH; Tania MH, 2019, 'Classification of Thai Elderly People Based on Control Ability of Sugar Consumption', in International Symposium on Wireless Personal Multimedia Communications, WPMC, http://dx.doi.org/10.1109/WPMC48795.2019.9096114
    Conference Papers | 2018
    Tania MH; Lwin KT; Shabut AM; Hossain MA, 2018, 'Clustering and Classification of a Qualitative Colorimetric Test', in Proceedings - 2018 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2018, pp. 7 - 11, http://dx.doi.org/10.1109/iCCECOME.2018.8658480
    Conference Papers | 2017
    Hoque Tania M; Lwin KT; Abuhassan K; Bakhori NM; Azmi UZM; Yusof NA; Hossain MA, 2017, 'An automated colourimetric test by computational chromaticity analysis: A case study of tuberculosis test', in Advances in Intelligent Systems and Computing, pp. 313 - 320, http://dx.doi.org/10.1007/978-3-319-60816-7_38
    Conference Papers | 2016
    Tania MH; Lwin KT; Hossain MA, 2016, 'Computational complexity of image processing algorithms for an intelligent mobile enabled tongue diagnosis scheme', in SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications, pp. 29 - 36, http://dx.doi.org/10.1109/SKIMA.2016.7916193
    Conference Papers | 2014
    Tania MH; Alam MS, 2014, 'Sun tracking schemes for photovoltaic panels', in 2014 3rd International Conference on the Developments in Renewable Energy Technology (ICDRET), IEEE, presented at 2014 3rd International Conference on the Developments in Renewable Energy Technology (ICDRET), 29 May 2014 - 31 May 2014, http://dx.doi.org/10.1109/icdret.2014.6861673

  1. SBRI- Healthy Ageing Social Ventures feasibility studies, Innovate UK, 2022-23.
  2. SBRI: Improving Multimorbidity Acute Care Using Data Analytics, phase 1, Innovate UK, 2021. 
  3. Research Grant of Capacity Utilization Programme under Special Allocation for Science and Information & Communication Technology, Ministry of Science and Technology, Bangladesh, 2011-2012

Notable Awards:

  1. Norman Tanner Prize and the Glaxo Travelling Fellowship, The Royal Society of Medicine, London, UK, September 2023.
  2. Best International Research Paper, Association of Researchers in Construction Management (ARCOM) Thirty-third Annual Conference, Cambridge, UK, September 2017.
  3. Prof Muhammad Harunur Rashid Paper Award (Runner-up), 3rd International Conference on the Developments in Renewable Energy Technology, IEEE, Dhaka, Bangladesh, May 2014.

Scholastic Grants and Achievements:

  1. PhD Scholarship: Erasmus Mundus Action 2 FUSION project.
  2. Undergraduate Merit Scholarship: Three-time recipient of Tuition Fee Awards at AUST.
     

I am fascinated by diverse domains of machine learning that specifically target real-world applications. Currently, my research pursuits are centred around the following areas:

  1. Survival-aware machine learning
  2. Intersection between survival analysis and treatment effect estimation
  3. Ethical AI

My Research Supervision

PhD student from ARU

My Teaching

As part of the MSc Health Data Science team, I am currently co-convening and teaching the course:

Computing for Health Data Science - HDAT9300.