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Muntazir Mehdi
University of Ulm
25Publications
6H-index
115Citations
Publications 25
Newest
#1Muntazir Mehdi (University of Ulm)H-Index: 6
#2Denis Schwager (University of Ulm)H-Index: 1
Last.Franz J. Hauck (University of Ulm)H-Index: 17
view all 6 authors...
Tinnitus is a disorder that is not entirely understood, and many of its correlations are still unknown. On the other hand, smartphones became ubiquitous. Their modern versions provide high computational capabilities, reasonable battery size, and a bunch of embedded high-quality sensors, combined with an accepted user interface and an application ecosystem. For tinnitus, as for many other health problems, there are a number of apps trying to help patients, therapists, and researchers to get insig...
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Apr 8, 2019 in SAC (ACM Symposium on Applied Computing)
#1Muntazir Mehdi (University of Ulm)H-Index: 6
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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#1Kushal Agrawal (University of Ulm)H-Index: 2
#2Muntazir Mehdi (University of Ulm)H-Index: 6
Last.Rüdiger Pryss (University of Ulm)H-Index: 13
view all 7 authors...
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...
2 CitationsSource
#1Muntazir Mehdi (University of Ulm)H-Index: 6
#2Guido MühlmeierH-Index: 1
Last.Franz J. Hauck (University of Ulm)H-Index: 17
view all 6 authors...
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...
5 CitationsSource
#1Alokkumar Jha (National University of Ireland, Galway)H-Index: 3
#2Yasar Khan (National University of Ireland, Galway)H-Index: 5
Last.Ratnesh Sahay (National University of Ireland, Galway)H-Index: 6
view all 8 authors...
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...
5 CitationsSource
#1Yasar Khan (National University of Ireland, Galway)H-Index: 5
#2Muhammad Saleem (Leipzig University)H-Index: 13
Last.Ratnesh Sahay (National University of Ireland, Galway)H-Index: 6
view all 7 authors...
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...
8 CitationsSource
#1Athos Antoniades (UCY: University of Cyprus)H-Index: 7
#2Aristos Aristodimou (UCY: University of Cyprus)H-Index: 3
Last.Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 35
view all 18 authors...
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...
1 CitationsSource
#1Muntazir Mehdi (National University of Ireland, Galway)H-Index: 6
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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Sep 9, 2016 in VLDB (Very Large Data Bases)
#1Alokkumar Jha (National University of Ireland, Galway)H-Index: 3
#2Muntazir Mehdi (National University of Ireland, Galway)H-Index: 6
Last.Ratnesh Sahay (National University of Ireland, Galway)H-Index: 6
view all 6 authors...
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 CitationsSource
#1Muntazir Mehdi (National University of Ireland, Galway)H-Index: 6
#2Yasar Khan (National University of Ireland, Galway)H-Index: 5
Last.Ratnesh Sahay (National University of Ireland, Galway)H-Index: 6
view all 7 authors...
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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