Muhammad Bilal Amin

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Cloud Interoperability has been a core issue pertaining Intercloud and Cloud Federation. Several vendor-based proprietary solutions and open-source middleware are present for the resolution; however, these solutions are highly coupled to particular cloud environments. For heterogeneous clouds to exist in an interoperable environment, the need of a(More)
Heterogeneity in the management of the complex medical data, obstructs the attainment of data level interoperability among Health Information Systems (HIS). This diversity is dependent on the compliance of HISs with different healthcare standards. Its solution demands a mediation system for the accurate interpretation of data in different heterogeneous(More)
Semantic web is dependent on extensive knowledge management by inter linking resources on the web using matching techniques. This role is played by the progressing domain of ontology matching, by introducing ontology matching tools. The focus of these matching tools is limited to matching techniques and automation only, rather than expressive formal(More)
The world is witnessing a spectacular shift in the delivery of health and wellness care. The key ingredient of this transformation consists in the use of revolutionary digital technologies to empower people in their self-management as well as to enhance traditional care procedures. While substantial domain-specific contributions have been provided to that(More)
SPHeRe is an ontology matching system that utilizes cloud infrastructure for matching large scale ontologies and focus on alignment representation to be stored in the Mediation Bridge Ontology (MBO). MBO is the mediation ontology that stores all the alignments generated between the matched ontolo-gies and represents it in a manner that provides maximum(More)
Cloud computing has revolutionized healthcare in today's world as it can be seamlessly integrated into a mobile application and sensor devices. The sensory data is then transferred from these devices to the public and private clouds. In this paper, a hybrid and distributed environment is built which is capable of collecting data from the mobile phone(More)
For the past ten years, Gaussian process has become increasingly popular for modeling numerous inferences and reasoning solutions due to the robustness and dynamic features. Particularly concerning regression and classification data, the combination of Gaussian process and Bayesian learning is considered to be one of the most appropriate supervised learning(More)
In recent years, the focus of healthcare and wellness technologies has shown a significant shift towards personal vital signs devices. The technology has evolved from smartphone-based wellness applications to fitness bands and smartwatches. The novelty of these devices is the accumulation of activity data as their users go about their daily life routine.(More)
Ontology matching is among the core techniques used for heterogeneity resolution by information and knowledge-based systems. However, due to the excess and ever-evolving nature of data, ontologies are becoming large-scale and complex; consequently, leading to performance bottlenecks during ontology matching. In this paper, we present our performance-based(More)