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Faiza Samreen

Dr Faiza Samreen BCS(Hons), MS, PhD

Senior Lecturer


Dr. Faiza Samreen is a senior lecturer in Smart Computing at Sheffield Hallam University. She is a proactive lecturer and researcher with over ten years of research and academic experience. Faiza’s prime research focus is related to applied machine learning and distributed systems, emphasizing cloud computing. As a researcher, she values the importance of interdisciplinary work and is always intrigued to work with other subject disciplines. Dr. Samreen is interested in investigating the new and emerging technologies from distributed systems and machine learning paradigm that can help scientists support scientific research in various ways.


Dr. Samreen is a very active researcher with over ten years of experience serving national and international institutes. For the past seven years she has been researching distributed systems with a particular emphasis on the confluence of cloud computing and machine learning and how they can work together addressing real world problems. The focus of her Ph.D. work was designing and developing a machine learning-assisted decision support system for cloud customers. After completing her Ph.D., she worked as a Senior Research Associate on an EPSRC funded multidisciplinary research project at the School of Computing and Communications, Lancaster University. During the tenure, she designed and developed a framework to deploy largescale simulations on a cloud platform. This framework offered a collaborative and reproducible environment to climate scientists and enabled democratised access of this model for the wider community. This research work has been extended at LU to investigate the role of machine learning in capturing the internal model variability of Weather and Research Forecasting model. She is still associated with Lancaster University as a visiting researcher and working with the Ensemble team.

As an author and co-author, she has 14 publications to her name. These have been published in high-impact journals and conferences, such as, IEEE Transaction on Cloud Computing, Journal of Environmental Modelling and Software, ACM Computing Surveys, IEEE/IFIP NOMS, ICSE. She has nine abstracts accepted in different venues of the environmental science community and has presented her work in various seminars, conferences, and summits nationally and internationally. Dr. Samreen is a successful grantee of two educational and research grants from two public cloud providers, Amazon Web Services and Microsoft Azure AI for Earth.

She has also served as a Technical Programme Committee UCU Doctoral Symposium member 2020, CrossCloud18-19, keynote chair for CrossCloud17, reviewer for Journal of Internet Services and Applications, Springer Open Journal, 2015, 2017 and of 8th International ACM WebScience Conference, 2016. Recently, she was invited as a guest speaker for the Azure in Education Webinar Series to share her experience working on Microsoft Azure Lab.

Dr. Samreen is a module leader and instructor for three modules. Her teaching philosophy is largely influenced by innovative and inclusive practices that support learning diversity, hence, enhancing the foundation for learning experiences for students and allowing them to flourish and succeed.


Department of Computing

College of Business, Technology and Engineering

Subject area

Smart Computing


BSc (Hons) Computing
BSc (Hons) Information Technology with Business Studies
BSc (Hons) Business and Digital Technology


System Architectures
Advanced System Architectures
Introduction to Cloud Computing
Computer Technology for Business


Current Projects

  • A collaborative research work aiming at designing solutions for epidemiologists and focusing on the technological aspect of redesigning their models to benefit from the digital innovations in data science and distributed systems. This work involves Dr. Gavin Abernethy (Engineering & Maths, SHU), Dr. Carlos Da Silva (Computing, SHU), Dr. Marjory Da Costa (Computing, SHU) and Dr. Sally Fowler Davis (AWRC).
  • Investigate the role of machine learning in capturing the internal model variability of Weather and Research Forecasting model. This work involves environmental scientists from Lancaster University and supported by Microsoft Azure AI 4 Earth Grant.


Dr. Gavin Abernethy (Engineering & Maths, SHU)
Dr. Carlos Da Silva (Computing, SHU)
Dr. Marjory Da Costa (Computing, SHU)
Dr. Sally Fowler Davis (AWRC)

Prof. Gordon S. Blair (Lancaster University)
Dr. Will Simm (Lancaster University)
Dr. Richard Bassett (Lancaster University)


Microsoft Azure AI 4 Earth Grant


Key Publications

Samreen, F., Blair, G., & Elkhatib, Y. (2020). Transferable knowledge for Low-cost Decision Making in Cloud Environments. IEEE Transactions on Cloud Computing.

Journal articles

Blair, G.S., Bassett, R., Bastin, L., Beevers, L., Borrajo, M.I., Brown, M., ... Watkins, J. (2021). The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord. Patterns, 2 (1).

Bassett, R., Young, P.J., Blair, G.S., Samreen, F., & Simm, W. (2020). The megacity Lagos and three decades of urban heat island growth. Journal of Applied Meteorology and Climatology, 59 (12), 2041-2055.

Bassett, R., Young, P.J., Blair, G.S., Samreen, F., & Simm, W. (2020). A Large Ensemble Approach to Quantifying Internal Model Variability Within the WRF Numerical Model. Journal of Geophysical Research: Atmospheres, 125 (7).

Blair, G.S., Beven, K., Lamb, R., Bassett, R., Cauwenberghs, K., Hankin, B., ... Towe, R. (2019). Models of everywhere revisited: A technological perspective. Environmental Modelling & Software, 122, 104521.

Blair, G., Beven, K., Lamb, R., Bassett, R., Cauwenberghs, K., Hankin, B., ... Towe, R. (2019). Models of everywhere revisited: a technological perspective. Environmental Modelling and Software, 122, 104521.

Elhabbash, A., Samreen, F., Hadley, J., & Elkhatib, Y. (2019). Cloud Brokerage: A Systematic Survey. ACM Computing Surveys, 51 (6), 1-28.

Conference papers

Samreen, F., Simm, W., Blair, G., Bassett, R., & Young, P. (2020). Models in the Cloud: Exploring Next Generation Environmental Software Systems. In International Symposium on Environmental Software System, Netherland, 5 February 2020 - 7 February 2020. Springer, Cham:

Elkhatib, Y., Samreen, F., & Blair, G. (2019). Same Same, but Different: A Descriptive Intra-IaaS Differentiation. 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Simm, W.A., Samreen, F., Bassett, R., Ferrario, M.A., Blair, G., Whittle, J., & Young, P.J. (2018). SE in ES: opportunities for software engineering and cloud computing in environmental science. Proceedings of the 40th International Conference on Software Engineering Software Engineering in Society - ICSE-SEIS '18, 61-70.

Samreen, F., Elkhatib, Y., Rowe, M., & Blair, G.S. (2016). Daleel: simplifying cloud instance selection using machine learning. NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium.

Samreen, F., Blair, G.S., & Rowe, M. (2014). Adaptive decision making in multi-cloud management. Proceedings of the 2nd International Workshop on CrossCloud Systems.

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