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
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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.
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 | 2025
Liu Q; Han Y; Shen L; Du J; Tania MH, 2025, 'Adaptive enhancement of shoulder x-ray images using tissue attenuation and type-II fuzzy sets', PLoS ONE, 20, http://dx.doi.org/10.1371/journal.pone.0316585
Journal articles | 2025
Liu Q; Zhou T; Cheng C; Ma J; Hoque Tania M, 2025, 'Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis', BMC Bioinformatics, 26, pp. 29, http://dx.doi.org/10.1186/s12859-025-06057-9
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', INTEGRATIVE MEDICINE RESEARCH, 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', 10TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING (ICME 2013), 90, pp. 172 - 175, http://dx.doi.org/10.1016/j.proeng.2014.11.832
Conference Papers | 2024
Tania MH; Rahman MA; Ahmed KU, 2024, 'Medication Management Application for Directly Observed Treatment of TB Patients', in Proceedings 6th International Conference on Electrical Engineering and Information and Communication Technology Iceeict 2024, pp. 463 - 468, http://dx.doi.org/10.1109/ICEEICT62016.2024.10534459
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, Valencia, Spain, pp. 837 - 849, presented at 26th International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 25 April 2023, https://proceedings.mlr.press/v206/chauhan23a.html
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, pp. 1 - 5, 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
Current project(s):
Trajectories for chronic disease management plans use in primary care in adults with cardiovascular disease. Funded by the 45 and Up Study Cardiovascular Research Grant from the National Heart Foundation of Australia (AUD 65,000, CIC), 2024-2025.
Community-driven Journey Facilitation App for Public Transport: Co-creation of Services. Funded by the Royal Academy of Engineering Frontiers, 2024-2025.
Rising Seas and Collapsing Walls: Identifying the Equitable Data Landscape. Funded by the Royal Academy of Engineering Frontiers, 2024-2025.
CausAID:Using Causal Artificial Intelligence and population-wide data to understand the role of infectious diseases in the aetiology of Dementia.Funded by NHMRC's Ideas Grant, (AUD 761,727, CIE), 2025- 2027.
Previous grants:
SBRI- Healthy Ageing Social Ventures feasibility studies, Innovate UK, 2022-23.
SBRI: Improving Multimorbidity Acute Care Using Data Analytics, phase 1, Innovate UK, 2021.
Research Grant of Capacity Utilization Programme under Special Allocation for Science and Information & Communication Technology, Ministry of Science and Technology, Bangladesh, 2011-2012
Norman Tanner Prize and the Glaxo Travelling Fellowship, The Royal Society of Medicine, London, UK, September 2023.
Best International Research Paper, Association of Researchers in Construction Management (ARCOM) Thirty-third Annual Conference, Cambridge, UK, September 2017.
Prof Muhammad Harunur Rashid Paper Award (Runner-up), 3rd International Conference on the Developments in Renewable Energy Technology, IEEE, Dhaka, Bangladesh, May 2014.
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:
Survival-aware machine learning
Intersection between survival analysis and treatment effect estimation
Ethical AI
My Research Supervision
PhD student from ARU
My Teaching
As part of the MSc Health Data Science team, I am currently convening and teaching the course(s):