Marzia Hoque Tania

PhD researcher

Anglia Ruskin IT Research Institute

Faculty:Faculty of Science & Technology

Location: Chelmsford

Marzia Hoque Tania is doing her PhD on artificial intelligence and decision support system implementing in the health domain.

Background

Her previous research works focused on Solar PV technology, renewable energy and solar cell materials. She is a former lecturer in the department of EEE at Atish Dipankar University of Science and Technology. She also worked as a part time faculty member in Ahsanullah University of Science and Technology (AUST). She completed her BSc. in Electrical and Electronic Engineering from AUST and M.Phil in Materials Science from Bangladesh University of Engineering and Technology (BUET).

Research interests

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Marzia is supervised by

Recent presentations and conferences

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AbuHassan, K, Bakhori, N.E.M, Kusnin, N., Azmi, U.Z.M, Tania, M.H., Evans, B., Yusof, N.A., and Hossain, M.A. (2017). Automatic Diagnosis of Tuberculosis Disease Based on Plasmonic ELISA and Color-based Image Classification. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Sherratt, F., Hallowell, M., Tania, M.H. (2017). Marijuana use Within the Construction Workforce: Theoretical Considerations and a Research Proposal. In: Joint CIB W099 & TG59 International Safety, Health, and People in Construction Conference, Cape Town, South Africa. 11-13 June 2017.

Tania, M.H., Lwin, K.T., AbuHassan, K., Bakhori, N.M., MohdAzmi, U.Z., Yusof, N.A. and Hossain, M.A. (2017). An Automated Colourimetric Test by Computational Chromaticity Analysis: A case study of Tuberculosis Test. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB'17), Polytechnic of Porto - Porto (Portugal), 21-23 June 2017.

Tania, M.H., Lwin, K. T., & Hossain, M. A. (2016) Computational Complexity of Image Processing Algorithms for an Intelligent Mobile Enabled Tongue Diagnosis Scheme, In 2016 10th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). IEEE. DOI: 10.1109/SKIMA.2016.7916193.