Skip to main content

Research Repository

See what's under the surface


Influence of Big Data in managing cyber assets (2019)
Journal Article
Mitra, A., & Munir, K. (2019). Influence of Big Data in managing cyber assets. Built Environment Project and Asset Management, 9(4), 503-514. https://doi.org/10.1108/BEPAM-07-2018-0098

© 2019, Emerald Publishing Limited. Purpose: Today, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is embryonic. Using evidence,... Read More about Influence of Big Data in managing cyber assets.

Neuroscience patient identification using big data and fuzzy logic–An Alzheimer’s disease case study (2019)
Journal Article
Munir, K., de Ramón-Fernández, A., Iqbal, S., & Javaid, N. (2019). Neuroscience patient identification using big data and fuzzy logic–An Alzheimer’s disease case study. Expert Systems with Applications, 136, 410-425. https://doi.org/10.1016/j.eswa.2019.06.049

Modern neuroscience imaging technologies considerably affect diagnostic and prognostic accuracy and facilitate progress towards the cure of brain diseases. The benefits largely depend on the practicalities by which the large-scale imaging and clinica... Read More about Neuroscience patient identification using big data and fuzzy logic–An Alzheimer’s disease case study.

NeuroProv: Provenance data visualisation for neuroimaging analyses (2019)
Journal Article
Munir, K., Arshad, B., McClatchey, R., Shamdasani, J., & Khan, Z. (2019). NeuroProv: Provenance data visualisation for neuroimaging analyses. Journal of Computer Languages, 52, 72-87. https://doi.org/10.1016/j.cola.2019.04.004

© 2019 Elsevier Ltd Visualisation underpins the understanding of scientific data both through exploration and explanation of analysed data. Provenance strengthens the understanding of data by showing the process of how a result has been achieved. Wit... Read More about NeuroProv: Provenance data visualisation for neuroimaging analyses.

Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP) (2018)
Journal Article
Munir, K. (2018). Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP). Computing, 100(12), 1299-1333. https://doi.org/10.1007/s00607-018-0617-6

© 2018, Springer-Verlag GmbH Austria, part of Springer Nature. Provenance of scientific workflows has been considered a mean to provide workflow reproducibility. However, the provenance approaches adopted so far are not applicable in the context of C... Read More about Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP).

Encyclopedia of big data technologies (2018)
Book Chapter
Munir, K. (2018). Encyclopedia of big data technologies. In S. Sakr, & A. Zomaya (Eds.), Encyclopedia of Big Data TechnologiesSpringer

In the field of computer science, data is considered as the main raw material which is produced by abstracting the world into categories, measures and other representational forms (e.g., characters, numbers, relations, sounds, images, electronic wave... Read More about Encyclopedia of big data technologies.

The use of ontologies for effective knowledge modelling and information retrieval (2017)
Journal Article
Sheraz Anjum, M., & Munir, K. (2018). The use of ontologies for effective knowledge modelling and information retrieval. Applied Computing and Informatics, 14(2), 116-126. https://doi.org/10.1016/j.aci.2017.07.003

© 2017 The dramatic increase in the use of knowledge discovery applications requires end users to write complex database search requests to retrieve information. Such users are not only expected to grasp the structural complexity of complex databases... Read More about The use of ontologies for effective knowledge modelling and information retrieval.

Cloud infrastructure provenance collection and management to reproduce scientific workflows execution (2017)
Journal Article
Munir, K., Hasham, K., & McClatchey, R. (2018). Cloud infrastructure provenance collection and management to reproduce scientific workflows execution. Future Generation Computer Systems, 86, 799-820. https://doi.org/10.1016/j.future.2017.07.015

© 2017 Elsevier B.V. The emergence of Cloud computing provides a new computing paradigm for scientific workflow execution. It provides dynamic, on-demand and scalable resources that enable the processing of complex workflow-based experiments. With th... Read More about Cloud infrastructure provenance collection and management to reproduce scientific workflows execution.

The application of web of data technologies in building materials information modelling for construction waste analytics (2017)
Journal Article
Akinade, O. O., Ajayi, S. O., Oyedele, L. O., Bilal, M., Oyedele, L., Munir, K., …Alaka, H. A. (2017). The application of web of data technologies in building materials information modelling for construction waste analytics. Sustainable Materials and Technologies, 11, 28-37. https://doi.org/10.1016/j.susmat.2016.12.004

© 2017 Elsevier B.V. Predicting and designing out construction waste in real time is complex during building waste analysis (BWA) since it involves a large number of analyses for investigating multiple waste-efficient design strategies. These analyse... Read More about The application of web of data technologies in building materials information modelling for construction waste analytics.

Big Data in the construction industry: A review of present status, opportunities, and future trends (2016)
Journal Article
Akinade, O. O., Ajayi, S. O., Oyedele, L. O., Bilal, M., Oyedele, L., Qadir, J., …Pasha, M. (2016). Big Data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics, 30(3), 500-521. https://doi.org/10.1016/j.aei.2016.07.001

© 2016 Elsevier Ltd The ability to process large amounts of data and to extract useful insights from data has revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide assortment of industries, including the construction... Read More about Big Data in the construction industry: A review of present status, opportunities, and future trends.

Evaluation criteria for construction waste management tools: Towards a holistic BIM framework (2016)
Journal Article
Ajayi, S. O., Oyedele, L. O., Akinade, O. O., Akinade, O., Oyedele, L., Munir, K., …Bello, S. A. (2016). Evaluation criteria for construction waste management tools: Towards a holistic BIM framework. International Journal of Sustainable Building Technology and Urban Development, 7(1), 3-21. https://doi.org/10.1080/2093761X.2016.1152203

© 2016 Informa UK Limited, trading as Taylor & Francis Group. This study identifies evaluation criteria with the goal of appraising the performance of existing construction waste management tools and employing the results in the development of a ho... Read More about Evaluation criteria for construction waste management tools: Towards a holistic BIM framework.

Cloud Market Maker: An automated dynamic pricing marketplace for cloud users (2016)
Journal Article
Javed, B., Bloodsworth, P., Rasool, R. U., Munir, K., & Rana, O. (2016). Cloud Market Maker: An automated dynamic pricing marketplace for cloud users. Future Generation Computer Systems, 54, 52-67. https://doi.org/10.1016/j.future.2015.06.004

© 2015 Elsevier B.V. Abstract Cloud providers commonly incur heavy upfront set up costs which remain almost constant whether they serve a single or many customers. In order to generate a return on this investment, a suitable pricing strategy is requi... Read More about Cloud Market Maker: An automated dynamic pricing marketplace for cloud users.

Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility (2016)
Book Chapter
Khawar, H., Munir, K., McClatchey, R., & Shamdasani, J. (2016). Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility. In M. Helfert, V. M. Munoz, & D. Ferguson (Eds.), Cloud Computing and Services Science, 74-94. Springer

Provenance has been considered as a means to achieve sci- entific workflow reproducibility to verify the workflow processes and results. Cloud computing provides a new computing paradigm for the workflow execution by o↵ering a dynamic and scalable en... Read More about Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility.

Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project (2015)
Journal Article
Munir, K., Ahmad, K., & McClatchey, R. (2015). Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project. Journal of Biomedical Informatics, 57, 245-262. https://doi.org/10.1016/j.jbi.2015.08.004

© 2015 Elsevier Inc.. Exceptional growth in the availability of large-scale clinical imaging datasets has led to the development of computational infrastructures that offer scientists access to image repositories and associated clinical variables dat... Read More about Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project.

Incorporating semantics in pattern-based scientific workflow recommender systems (2015)
Presentation / Conference
Soomro, K., Munir, K., & McClatchey, R. (2015, July). Incorporating semantics in pattern-based scientific workflow recommender systems. Paper presented at IEEE Science and Information Conference 2015

Recommender systems are used to enable decision support. Using them to assist users when designing scientific workflows introduces a number of challenges. These include selecting appropriate components and specifying correct parameter values. Pattern... Read More about Incorporating semantics in pattern-based scientific workflow recommender systems.

Traceability and provenance in big data medical systems (2015)
Presentation / Conference
McClatchey, R., Shamdasani, J., Branson, A., Munir, K., & Kovács, Z. (2015, June). Traceability and provenance in big data medical systems. Paper presented at IEEE Conference on Computer Based Medical Systems

Providing an appropriate level of accessibility to and tracking of data or process elements in large volumes of medical data, is an essential requirement in the Big Data era. Researchers require systems that provide traceability of information throug... Read More about Traceability and provenance in big data medical systems.

Semantic generation of clouds privacy policies (2015)
Book Chapter
Munir, K., & Rahmouni, H. (2015). Semantic generation of clouds privacy policies. In H. Markus, D. Frédéric, F. Donald, & L. Frank (Eds.), Cloud Computing and Services Sciences, 15-30. Springer International Publishing Switzerland

The governance of privacy and personal information on cloud envi- ronments is challenging and complex. Usually many regulatory frameworks intervene to reflect diverse privacy wishes from several stakeholders. This includes data owners, data and servi... Read More about Semantic generation of clouds privacy policies.

Analysis of critical features and evaluation of BIM software: Towards a plug-in for construction waste minimization using big data (2015)
Journal Article
Bilal, M., Oyedele, L., Qadir, J., Munir, K., Akinade, O., Ajayi, S., …Owolabi, H. A. (2015). Analysis of critical features and evaluation of BIM software: Towards a plug-in for construction waste minimization using big data. International Journal of Sustainable Building Technology and Urban Development, 6(4), 211-228. https://doi.org/10.1080/2093761X.2015.1116415

The overall aim of this study is to investigate the potential of Building Information Modelling (BIM) for construction waste minimization. We evaluated the leading BIM design software products and concluded that none of them currently support constru... Read More about Analysis of critical features and evaluation of BIM software: Towards a plug-in for construction waste minimization using big data.

Position paper: Provenance data visualisation for neuroimaging analysis (2014)
Presentation / Conference
Arshad, B., Munir, K., McClatchey, R., & Liaquat Kiani, S. (2014, December). Position paper: Provenance data visualisation for neuroimaging analysis. Paper presented at 12th International Conference on Frontiers of Information Technology (FIT 2014)

Visualisation facilitates the understanding of scientific data both through exploration and explanation of visualised data. Provenance contributes to the understanding of data by containing the contributing factors behind a result. With the significa... Read More about Position paper: Provenance data visualisation for neuroimaging analysis.

Scientific workflow repeatability through cloud-aware provenance (2014)
Presentation / Conference
Ahmad, K., McClatchey, R., Munir, K., & Shamdasani, J. (2014, December). Scientific workflow repeatability through cloud-aware provenance. Paper presented at Recomputability 2014 Workshop of the 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014)

The transformations, analyses and interpretations of data in scientific workflows are vital for the repeatability and reliability of scientific workflows. This provenance of scientific workflows has been effectively carried out in Grid based scientif... Read More about Scientific workflow repeatability through cloud-aware provenance.

Provenance support for medical research (2014)
Presentation / Conference
McClatchey, R., Shamdasani, J., Branson, A., & Munir, K. (2014, June). Provenance support for medical research. Poster presented at 5th International Provenance and Annotation Workshop (IPAW2014)

This poster paper introduces a system known as CRISTAL [1] and the experience using it for medical research, primarily in the neuGRID [2] and neuGridforUsers (N4U) projects. These projects aim to provide detailed tracea-bility for research analysis p... Read More about Provenance support for medical research.