Outputs (52)

Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities (2024)
Journal Article
Channa, A. A., Munir, K., Hansen, M., & Tariq, M. F. (2024). Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities. Encyclopedia, 4(1), 313-336. https://doi.org/10.3390/encyclopedia4010023

Environment changes, water scarcity, soil depletion, and urbanisation are making it harder to produce food using traditional methods in various regions and countries. Aquaponics is emerging as a sustainable food production system that produces fish a... Read More about Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities.

A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD) (2023)
Journal Article
Chan, K., Matthews, P., & Munir, K. (2023). A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD). Environments, 10(12), Article 218. https://doi.org/10.3390/environments10120218

This paper presents a new framework, “colours-of-the-wind” (COLD), which is designed to estimate air quality based on images from meteorological cameras, data analytics techniques, and the application of deep learning. Existing air quality estimation... Read More about A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD).

SWEL: A domain-specific language for modeling data-intensive workflows (2023)
Journal Article
Salado-Cid, R., Vallecillo, A., Munir, K., & Romero, J. R. (in press). SWEL: A domain-specific language for modeling data-intensive workflows. Business and Information Systems Engineering, https://doi.org/10.1007/s12599-023-00826-7

Data-intensive applications aim at discovering valuable knowledge from large amounts of data coming from real-world sources. Typically, workflow languages are used to specify these applications, and their associated engines enable the execution of th... Read More about SWEL: A domain-specific language for modeling data-intensive workflows.

Personalised learning through context-based adaptation in the serious games with gating mechanism (2023)
Journal Article
Shum, L. C., Rosunally, Y., Scarle, S., & Munir, K. (2023). Personalised learning through context-based adaptation in the serious games with gating mechanism. Education and Information Technologies, 28(10), 13077-13108. https://doi.org/10.1007/s10639-023-11695-8

When the traditional "one size fits all" approach is used in designing educational games, the game context is usually arranged in a fixed sequence. However, the designated content may not effectively support the diversity of players. The player's abi... Read More about Personalised learning through context-based adaptation in the serious games with gating mechanism.

AgroSupportAnalytics: Big data recommender system for agricultural farmer complaints in Egypt (2023)
Journal Article
Rslan, E., Khafagy, M. H., Ali, M., Munir, K., & Badry, R. M. (2023). AgroSupportAnalytics: Big data recommender system for agricultural farmer complaints in Egypt. International Journal of Electrical and Computer Engineering, 13(1), 746-755. https://doi.org/10.11591/ijece.v13i1.pp746-755

The world's agricultural needs are growing with the pace of increase in its population. Agricultural farmers play a vital role in our society by helping us in fulfilling our basic food needs. So, we need to support farmers to keep up their great work... Read More about AgroSupportAnalytics: Big data recommender system for agricultural farmer complaints in Egypt.

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities (2022)
Journal Article
Stanton, I., Munir, K., Ikram, A., & El-Bakry, M. (2023). Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities. Systems Engineering, 26(2), 216-237. https://doi.org/10.1002/sys.21651

The increase in available data from sensors embedded in industrial equipment has led to a recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive maintenance has become an essential tool for optimizing mainte... Read More about Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities.

Application of region-based video surveillance in smart cities using deep learning (2021)
Journal Article
Zahra, A., Ghafoor, M., Munir, K., Ullah, A., & Ul Abideen, Z. (2021). Application of region-based video surveillance in smart cities using deep learning. Multimedia Tools and Applications, 2021, https://doi.org/10.1007/s11042-021-11468-w

Smart video surveillance helps to build more robust smart city environment. The varied angle cameras act as smart sensors and collect visual data from smart city environment and transmit it for further visual analysis. The transmitted visual data is... Read More about Application of region-based video surveillance in smart cities using deep learning.

Arabic semantic similarity approach for farmers’ complaints (2021)
Journal Article
Farouk, R. A., Khafagy, M. H., Ali, M., Munir, K., & M.Badry, R. (2021). Arabic semantic similarity approach for farmers’ complaints. International Journal of Advanced Computer Science and Applications, 12(10), 348-358. https://doi.org/10.14569/ijacsa.2021.0121038

Semantic similarity is applied for many areas in Natural Language Processing, such as information retrieval, text classification, plagiarism detection, and others. Many researchers used semantic similarity for English texts, but few used for Arabic d... Read More about Arabic semantic similarity approach for farmers’ complaints.

AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt (2021)
Journal Article
Munir, K., Ghafoor, M., Khafagy, M., & Ihshaish, H. (2022). AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt. Egyptian Informatics Journal, 23(1), 73-82. https://doi.org/10.1016/j.eij.2021.06.002

Sustainable Farming requires up-to-date advice on crop diseases, patterns, and adequate prevention actions to face developing circumstances. Currently, in developing countries like Egypt, farmers’ access to such information is extremely limited due t... Read More about AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt.

An ontology-based compliance audit framework for medical data sharing across Europe (2021)
Journal Article
Boussi Rahmouni, H., & Munir, K. (2021). An ontology-based compliance audit framework for medical data sharing across Europe. International Arab Journal of Information Technology, 18(2), 158-169

Complying with privacy in multi-jurisdictional health domains is important as well as challenging. The compliance management process will not be efficient unless it manages to show evidences of explicit verification of legal requirements. In order to... Read More about An ontology-based compliance audit framework for medical data sharing across Europe.

IoT technologies for livestock management: A review of present status, opportunities, and future trends (2021)
Journal Article
Akhigbe, B. I., Munir, K., Akinade, O., Akanbi, L., & Oyedele, L. O. (2021). IoT technologies for livestock management: A review of present status, opportunities, and future trends. Big Data and Cognitive Computing, 5(1), Article 10. https://doi.org/10.3390/bdcc5010010

The world population currently stands at about 7 billion amidst an expected increase in 2030 from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to influence the upward demand for animal food. Moreover, the managem... Read More about IoT technologies for livestock management: A review of present status, opportunities, and future trends.

Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector (2020)
Conference Proceeding
Mahmood, T., & Munir, K. (2020). Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector. . https://doi.org/10.5220/0009325201690176

Telecom sector has always been working hard to improve network quality to satisfy end user services. Fixing telecom network errors (hardware and software) precisely and quickly is a main factor to improve quality of services. Telecom operators are sp... Read More about Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector.

Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks (2020)
Journal Article
Ul Abideen, Z., Ghafoor, M., Munir, K., Saqib, M., Ullah, A., Zia, T., …Zahra, A. (2020). Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks. IEEE Access, 8, 22812-22825. https://doi.org/10.1109/access.2020.2970023

Tuberculosis (TB) is an infectious disease that can lead towards death if left untreated. TB detection involves extraction of complex TB manifestation features such as lung cavity, air space consolidation, endobronchial spread, and pleural effusions... Read More about Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks.

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
Hasham, K., & 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 Technologies. Springer

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
Hasham, K., Munir, 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
Bilal, M., Oyedele, L. O., Munir, K., Ajayi, S. O., Akinade, O. O., Owolabi, H. A., & 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
Bilal, M., Oyedele, L. O., Qadir, J., Munir, K., Ajayi, S. O., Akinade, O. O., …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., Akinade, O., Oyedele, L., Munir, K., Bilal, M., Owolabi, H. A., …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.

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. O., Qadir, J., Munir, K., Akinade, O. O., Ajayi, S. O., …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

© 2016 Taylor & Francis. 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 the... Read More about Analysis of critical features and evaluation of BIM software: towards a plug-in for construction waste minimization using big data.

Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project (2015)
Journal Article
Munir, K., Ahmad, K. H., & 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, London, UK

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, Sao Carlos, Brazil

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.

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), Islamabad, Pakistan

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), London, UK

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), Koln, Germany

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.

Analysis traceability for biomedical researchers (2014)
Presentation / Conference
McClatchey, R., Shamdasani, J., Branson, A., Munir, K., & Liaquat Kiani, S. (2014, May). Analysis traceability for biomedical researchers. Paper presented at Computer Based Medical Systems 2014, New York

With the recent increase in data volumes and algorithnm complexity, clinical researchers are increasingly facing problems associated with information tracking, analysis reproducibility and the verification of scientific outputs. Systems are required... Read More about Analysis traceability for biomedical researchers.

A SWRL bridge to XACML for clouds privacy compliant policies (2014)
Presentation / Conference
Munir, K., & Rahmouni, H. (2014, April). A SWRL bridge to XACML for clouds privacy compliant policies. Paper presented at CLOSER 2014 - 4th International Conference on Cloud Computing and Services Science, Barcelona, Spain

The management of privacy and personal information within multi-cultural domain such as clouds and other universal collaborative systems requires intrinsic compliance-checking and assurance modules in order to increase social trust and acceptance. Fo... Read More about A SWRL bridge to XACML for clouds privacy compliant policies.

Provision of an integrated data analysis platform for computational neuroscience experiments (2014)
Journal Article
Munir, K., Kiani, S. L., Hasham, K., McClatchey, R., Branson, A., & Shamdasani, J. (2014). Provision of an integrated data analysis platform for computational neuroscience experiments. Journal of Systems and Information Technology, 16(3), 150-169. https://doi.org/10.1108/JSIT-01-2014-0004

© Emerald Group Publishing Limited. Purpose – The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience dat... Read More about Provision of an integrated data analysis platform for computational neuroscience experiments.

Intelligent grid enabled services for neuroimaging analysis (2013)
Journal Article
McClatchey, R., Habib, I., Anjum, A., Munir, K., Branson, A., Bloodsworth, P., & Kiani, S. L. (2013). Intelligent grid enabled services for neuroimaging analysis. Neurocomputing, 122, 88-99. https://doi.org/10.1016/j.neucom.2013.01.042

This paper reports our work in the context of the neuGRID project in the development of intelligent services for a robust and efficient Neuroimaging analysis environment. neuGRID is an EC-funded project driven by the needs of the Alzheimer's disease... Read More about Intelligent grid enabled services for neuroimaging analysis.

Providing traceability for neuroimaging analyses (2013)
Journal Article
McClatchey, R., Branson, A., Anjum, A., Bloodsworth, P., Habib, I., Munir, K., …Green, S. (2013). Providing traceability for neuroimaging analyses. International Journal of Medical Informatics, 82(9), 882-894. https://doi.org/10.1016/j.ijmedinf.2013.05.005

Introduction: With the increasingly digital nature of biomedical data and as the complexity of analyses in medical research increases, the need for accurate information capture, traceability and accessibility has become crucial to medical researchers... Read More about Providing traceability for neuroimaging analyses.

Providing traceability for neuroimaging analyses (2013)
Journal Article
McClatchey, R., Branson, A., Anjum, A., Bloodsworth, P., Habib, I., Munir, K., …Soomro, K. (2013). Providing traceability for neuroimaging analyses. International Journal of Medical Informatics, 82(9), 882-894. https://doi.org/10.1016/j.ijmedinf.2013.05.005

Introduction With the increasingly digital nature of biomedical data and as the complexity of analyses in medical research increases, the need for accurate information capture, traceability and accessibility has become crucial to medical researchers... Read More about Providing traceability for neuroimaging analyses.

Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL (2012)
Journal Article
McClatchey, R., Odeh, M., Munir, K., Munir, K., Odeh, M., & McClatchey, R. (2012). Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL. Knowledge-Based Systems, 35, 144-159. https://doi.org/10.1016/j.knosys.2012.04.020

This work investigates the extent to which domain knowledge, expressed in a domain ontology, can assist end-users in formulating relational queries that can be executed over a complex relational database. In this regard, an ontology-driven query form... Read More about Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL.

An integrated e-science analysis base for computational neuroscience experiments and analyses (2012)
Presentation / Conference
Munir, K., Liaquat Kiani, S., Hasham, K., McClatchey, R., Branson, A., & Shamdasani, J. (2012, August). An integrated e-science analysis base for computational neuroscience experiments and analyses. Paper presented at 2nd International Conference on Integrated Information, IC-ININFO 2012, Budapest, Hungary

A service oriented analysis environment for neuroimaging studies (2012)
Presentation / Conference
Anjum, A., Bessis, N., McClatchey, R., Munir, K., Habib, I., Branson, A., & Shamdasani, J. (2012, June). A service oriented analysis environment for neuroimaging studies. Paper presented at Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

neuGRID is an EC-funded project driven by the needs of the Alzheimer's disease research community that aims to facilitate the collection and archiving of large amounts of imaging data coupled with a set of generalized services and algorithms. By taki... Read More about A service oriented analysis environment for neuroimaging studies.

Context caches in the Clouds (2012)
Journal Article
Kiani, S. L., Anjum, A., Antonopoulos, N., Munir, K., & McClatchey, R. (2012). Context caches in the Clouds. Journal of Cloud Computing: Advances, Systems and Applications, 1(1), 1-13. https://doi.org/10.1186/2192-113X-1-7

In context-aware systems, the contextual information about human and computing situations has a strong temporal aspect i. e. it remains valid for a period of time. This temporal property can be exploited in caching mechanisms that aim to exploit such... Read More about Context caches in the Clouds.

Risk-driven compliant access controls for clouds (2011)
Presentation / Conference
Rahmouni, H. B., Munir, K., Odeh, M., & McClatchey, R. (2011, December). Risk-driven compliant access controls for clouds. Paper presented at Proceedings of the International Arab Conference on Information Technology (ACIT 2011), Riyadh, Saudi Arabia

There is widespread agreement that cloud computing have proven cost cutting and agility benefits. However, security and regulatory compliance issues are continuing to challenge the wide acceptance of such technology both from social and commercial st... Read More about Risk-driven compliant access controls for clouds.

Towards context caching in the clouds (2011)
Presentation / Conference
Liaquat Kiani, S., Anjum, A., Antonopoulos, N., Munir, K., & McClatchey, R. (2011, December). Towards context caching in the clouds. Paper presented at International Workshop on Intelligent Techniques and Architectures for Autonomic Clouds (ITAAC 2011), co-located with 4th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2011), Melbourne, Australia

Context information is traditionally collected from distributed digital artifacts and services and made available to similarly distributed, and often mobile, context consuming applications via context brokers or servers. Contextual data has a strong... Read More about Towards context caching in the clouds.

Provenance management for neuroimaging workflows in neuGrid (2011)
Presentation / Conference
Branson, A., Bloodsworth, P., Habib, I., Munir, K., McClatchey, R., & Soomro, K. (2011, October). Provenance management for neuroimaging workflows in neuGrid. Paper presented at P2P, Parallel, Grid, Cloud and Internet Computing, Barcelona, Spain

Managing the mappings between domain ontologies and database schemas when formulating relational queries (2009)
Conference Proceeding
Munir, K., Odeh, M., & McClatchey, R. (2009). Managing the mappings between domain ontologies and database schemas when formulating relational queries. . https://doi.org/10.1145/1620432.1620446

In recent years, the tremendous increase in the use of medical knowledge-discovery and decision-support applications has often required clinical researchers to write complex database queries. The users of these data analysis systems are normally unaw... Read More about Managing the mappings between domain ontologies and database schemas when formulating relational queries.

Ontology assisted query reformulation using the semantic and assertion capabilities of OWL-DL ontologies (2008)
Conference Proceeding
Munir, K., Odeh, M., & McClatchey, R. (2008). Ontology assisted query reformulation using the semantic and assertion capabilities of OWL-DL ontologies. . https://doi.org/10.1145/1451940.1451953

End users of recent biomedical information systems are often unaware of the storage structure and access mechanisms of the underlying data sources and can require simplified mechanisms for writing domain specific complex queries. This research aims t... Read More about Ontology assisted query reformulation using the semantic and assertion capabilities of OWL-DL ontologies.

Using assertion capabilities of an OWL-based ontology for query formulation (2008)
Conference Proceeding
Munir, K., Odeh, M., Bloodsworth, P., & McClatchey, R. (2008). Using assertion capabilities of an OWL-based ontology for query formulation. . https://doi.org/10.1109/ICTTA.2008.4530296

This paper reports on the development of a framework to assist users in formulating relational queries without requiring a complete knowledge of the information structure and access mechanisms to underlying data sources. The emphasis here is on explo... Read More about Using assertion capabilities of an OWL-based ontology for query formulation.

The requirements for ontologies in medical data integration: A case study (2007)
Journal Article
Hauer, T., Anjum, A., Bloodsworth, P., Branson, A., McClatchey, R., Munir, K., …Shamdasani, J. (2007). The requirements for ontologies in medical data integration: A case study. https://doi.org/10.1109/IDEAS.2007.4318120

Evidence-based medicine is critically dependent on three sources of information: a medical knowledge base, the patient's medical record and knowledge of available resources, including where appropriate, clinical protocols. Patient data is often scatt... Read More about The requirements for ontologies in medical data integration: A case study.

Big data application in manufacturing industry
Book Chapter
Mitra, A., & Munir, K. Big data application in manufacturing industry. In S. Sakr, & A. Y. Zomaya (Eds.), Encyclopedia of Big Data Technologies (1-7). UK: Springer

Proliferation of modes of communication today also implies that people are generating a wide variety of data by themselves. At the same time the value of organisations has become increasingly dependent on the amount and type of data that it holds abo... Read More about Big data application in manufacturing industry.

Workflow orchestration and provenance management for neuroimaging research using CRISTAL
Working Paper
Branson, A., McClatchey, R., Shamdasani, J., Habib, I., Anjum, A., Bloodsworth, P., & Munir, K. (2012). Workflow orchestration and provenance management for neuroimaging research using CRISTAL

The workflow orchestration and traceability (or provenance) of data is essential in carrying out meaningful analyses of large scale neuroimaging datasets. In both the neuGRID and N4U projects the need for data provenance has been identified by the en... Read More about Workflow orchestration and provenance management for neuroimaging research using CRISTAL.