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Muntazir Mehdi
National University of Ireland, Galway
20Publications
6H-index
96Citations
Publications 20
Newest
Published on Apr 8, 2019 in ACM Symposium on Applied Computing
Muntazir Mehdi1
Estimated H-index: 1
(University of Ulm)
Smartphones have become an integral part in life of users, mainly because over the course of recent years, they have grown into extremely mainstream, cheap, and pack high-end hardware that offers high computational capabilities. Many, if not all of today's smartphones are equipped with sophisticated sensors which enable smart mobile sensing. The programmable nature of these sensors in the smartphones enable a wide array of possibilities to achieve user-centric or environmental sensing enabling a...
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Published on Jan 1, 2018in Procedia Computer Science
Kushal Agrawal1
Estimated H-index: 1
(University of Ulm),
Muntazir Mehdi1
Estimated H-index: 1
(University of Ulm)
+ 4 AuthorsRüdiger Pryss15
Estimated H-index: 15
(University of Ulm)
Abstract The increased use of mobile devices has led to an improvement in the public health care through participatory interventions. For example, patients were empowered to contribute in treatment processes with the help of mobile crowdsourcing and crowdsensing technologies. However, when using the latter technologies, one prominent challenge constitutes a continuous user engagement. Incentive management techniques can help to tackle this challenge by motivating users through rewards and recogn...
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Published on Jan 1, 2018in Procedia Computer Science
Muntazir Mehdi1
Estimated H-index: 1
(University of Ulm),
Guido Mühlmeier1
Estimated H-index: 1
+ 3 AuthorsFranz J. Hauck17
Estimated H-index: 17
(University of Ulm)
Abstract Smartphones have become an integral part in life of users, mainly because over the course of recent years, they have become extremely mainstream, cheap, flexible, and they pack high-end hardware that offers high computational capabilities. Many, if not all of today’s smartphones are equipped with sophisticated sensors which enable smart mobile sensing. The programmable nature of these sensors in the smartphones enable a wide array of possibilities to achieve user-centric or environmenta...
2 Citations Source Cite
Published on Dec 1, 2017in Journal of Biomedical Semantics 1.60
Alokkumar Jha2
Estimated H-index: 2
(National University of Ireland, Galway),
Yasar Khan4
Estimated H-index: 4
(National University of Ireland, Galway)
+ 5 AuthorsRatnesh Sahay6
Estimated H-index: 6
(National University of Ireland, Galway)
Background Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing a massive amount of sequencing datasets. Often, these datasets are published from the isolated and different sequencing facilities. Consequently, the process of sharing and aggregating multisite sequencing datasets are thwarted by issues such as the need to discover relevant data from different sources, built scalable reposito...
4 Citations Source Cite
Published on Dec 1, 2017in Journal of Biomedical Semantics 1.60
Yasar Khan4
Estimated H-index: 4
(National University of Ireland, Galway),
Muhammad Saleem11
Estimated H-index: 11
(Leipzig University)
+ 4 AuthorsRatnesh Sahay6
Estimated H-index: 6
(National University of Ireland, Galway)
Background Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; consequently, privacy is a major concern when federating queries over such datasets. In the Healthcare and Life Sciences (HCLS) domain real-world datasets contain sensitive statistical information: strict ownership is granted to individuals working in hospitals, research...
7 Citations Source Cite
Published on Nov 1, 2017in Health technology
Athos Antoniades6
Estimated H-index: 6
(University of Cyprus),
Aristos Aristodimou3
Estimated H-index: 3
(University of Cyprus)
+ 15 AuthorsMuntazir Mehdi6
Estimated H-index: 6
(National University of Ireland, Galway)
Electronic Health Records (EHRs) contain an increasing wealth of medical information. When combined with molecular level data, they enhance the understanding of the underlying biological mechanisms of diseases, enabling the identification of key prognostic biomarkers to disease and treatment outcomes. However, the European healthcare information space is fragmented due to the lack of legal and technical standards, cost effective platforms, and sustainable business models. There is a clear need f...
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Published on Apr 3, 2017
Muntazir Mehdi6
Estimated H-index: 6
(National University of Ireland, Galway)
Linked Open Data (LOD) Cloud is a mesh of open datasets coming from different domains. Among these datasets, a no-table amount of datasets belong to the life sciences domain and are linked together forming an interlinked "Life Sciences Linked Open Data (LSLOD) Cloud". Link generation within LOD cloud is a hectic job for publishers. Addressing this challenge, frameworks like Silk 1 and LIMES 2 have been proposed to help publishers link their local datasets to a remote LOD dataset. However, these ...
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Published on Sep 9, 2016 in Very Large Data Bases
Alokkumar Jha2
Estimated H-index: 2
(National University of Ireland, Galway),
Muntazir Mehdi6
Estimated H-index: 6
(National University of Ireland, Galway)
+ 3 AuthorsRatnesh Sahay6
Estimated H-index: 6
(National University of Ireland, Galway)
Cancer is a disease of biological and cell cycle processes, driven by dosage of the limited set of drugs, resistance, mutations, and side effects. The identification of such limited set of drugs and their targets, pathways, and effects based on large scale multi-omics, multi-dimensional datasets is one of key challenging tasks in data-driven cancer genomics. This paper demonstrates the use of public databases associated with Drug-TargetGene/Protein-Disease to dissect the in-depth analysis of app...
1 Citations Source Cite
Muntazir Mehdi6
Estimated H-index: 6
,
Yasar Khan4
Estimated H-index: 4
+ 4 AuthorsRatnesh Sahay6
Estimated H-index: 6
Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological systems, with applications ranging from human ear, cardiovascular, to neurovascular research. Finite Element (FE) Biosimulation experiments produce huge amounts of numerical data. Visualising and analysing this huge numerical biosimulation data is a strenuous task. In this paper, ...
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Published on Feb 1, 2016
Muntazir Mehdi6
Estimated H-index: 6
(National University of Ireland, Galway),
Yasar Khan4
Estimated H-index: 4
(National University of Ireland, Galway)
+ 4 AuthorsRatnesh Sahay6
Estimated H-index: 6
(National University of Ireland, Galway)
Healthcare experts have recently turned towards the use of Biosimulation models to understand the multiple or different causative factors that cause impairment in human organs. The applications of biosimulations have been applied in different biological systems ranging from human ear, cardiovascular, to neurovascular research using Finite Element Method (FEM). FEM provide a mathematical framework to simulate these dynamic biological systems. Visualizing and analyzing huge amounts of Finite Eleme...
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