Skip to Content
Skip to main content


Dr. Tahmina Zebin is a Senior Lecturer in Computer Science. Prior to this post, she was a Lecturer in the School of Computing Sciences at the University of East Anglia and has led an On-device and Explainable AI Research Group.  She completed her PhD studies in 2017 from the University of Manchester. Following her PhD, Tahmina was employed as a postdoctoral research associate on the EPSRC funded project Wearable Clinic: Self, Help and Care at the University of Manchester and was a Research Fellow in Health Innovation Ecosystem at the University of Westminster. Her research expertise includes Advanced Video and Signal Processing, Explainable and Inclusive AI, Human Activity Recognition, Risk Prediction Modelling from Longitudinal Electronic Health Records using various statistical, machine learning and deep learning techniques.


Tahmina pursued her PhD studies at the University of Manchester in Electrical and Electronic Engineering and she had been the recipient of the Presidents Doctoral Scholarship (2013-2016) for this. She received her first degree and an MS in Applied Physics, Electronics, and Communication Engineering from the University of Dhaka, Bangladesh. She also completed an M.Sc in Digital Image and Signal Processing from the University of Manchester in 2012. 

Newest selected publications

Rogers, H., De La Iglesia, B. and Zebin, T. (2023) 'Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment'.15th International Conference on Knowledge Discovery and Information Retrieval. Rome, Italy. 13 - 15 November. SCITEPRESS - Science and Technology Publications. pp. 109 - 120. ISSN: 2184-3228 Open Access Link

Conference paper

Rogers, H., Zebin, T. and De la Iglesia, B. (2023) 'An Agricultural Precision Sprayer Deposit Identification System'.IEEE International Conference on Automation Science and Engineering (CASE) 2023. Auckland, New Zealand. 28 - 30 August. IEEE. pp. 1 - 6. ISSN: 2161-8070 Open Access Link

Conference paper

Rogers, H., De La Iglesia, B., Zebin, T., Cielniak, G. and Magri, B. (2023) 'An Automated Precision Spraying Evaluation System'.24th Annual Conference, TAROS 2023. Cambridge, UK. 8 - 15 September. Springer Nature Switzerland. pp. 26 - 37. ISSN: 0302-9743 Open Access Link

Conference paper

Zebin, T., Rezvy, S. and Luo, Y. (2022) 'An Explainable AI-Based Intrusion Detection System for DNS over HTTPS (DoH) Attacks'. IEEE Transactions on Information Forensics and Security, 17. pp. 2339 - 2349. ISSN: 1556-6013 Open Access Link

Journal article

Zebin, T. and Rezvy, S. (2021) 'COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization'. Applied Intelligence, 51 (2). pp. 1010 - 1021. ISSN: 0924-669X

Journal article
More publications(19)