Tarek Elsaleh

ORCID: 0000-0002-9134-0232
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About
Contact & Profiles
Research Areas
  • IoT and Edge/Fog Computing
  • Semantic Web and Ontologies
  • Context-Aware Activity Recognition Systems
  • Service-Oriented Architecture and Web Services
  • Advanced Database Systems and Queries
  • Data Quality and Management
  • Data Management and Algorithms
  • Mobile Crowdsensing and Crowdsourcing
  • Digital Transformation in Industry
  • Advanced Chemical Sensor Technologies
  • Time Series Analysis and Forecasting
  • Robotics and Automated Systems
  • Privacy-Preserving Technologies in Data
  • Privacy, Security, and Data Protection
  • Energy Efficient Wireless Sensor Networks
  • Web Data Mining and Analysis
  • Modular Robots and Swarm Intelligence
  • Blockchain Technology Applications and Security
  • Big Data and Business Intelligence
  • Music and Audio Processing
  • Scientific Computing and Data Management
  • Cloud Data Security Solutions
  • IoT Networks and Protocols
  • Metabolomics and Mass Spectrometry Studies

University of Surrey
2011-2022

Over the past few years semantics community has developed ontologies to describe concepts, relationships between different entities in various application domains, including Internet of Things (IoT) applications. A key problem is that most IoT related semantic descriptions are not as widely adopted expected. One main concerns users, developers techniques increase complexity, processing time, therefore they unsuitable for dynamic, responsive environments such IoT. To address this concern, we...

10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0035 article EN 2016-07-01

After a thorough analysis of existing Internet Things (IoT) related ontologies, in this paper we propose solution that aims to achieve semantic interoperability among heterogeneous testbeds. Our model is framed within the EU H2020's FIESTA-IoT project, seamlessly support federation testbeds through usage semantic-based technologies. proposed (ontology) takes inspiration from well-known Noy et al. methodology for reusing and interconnecting ontologies. To build ontology, leverage number core...

10.1109/wf-iot.2016.7845470 preprint EN 2016-12-01

The number of people diagnosed with dementia is expected to rise in the coming years. Given that there currently no definite cure for and cost care this condition soars dramatically, slowing decline maintaining independent living are important goals supporting dementia. This paper discusses a study called Technology Integrated Health Management (TIHM). TIHM technology assisted monitoring system uses Internet Things (IoT) enabled solutions continuous their own homes. We have developed machine...

10.1371/journal.pone.0195605 article EN cc-by PLoS ONE 2018-05-03

With the proliferation of sensors and IoT technologies, stream data are increasingly stored analyzed, but rarely combined, due to heterogeneity sources technologies. Semantics used share sensory data, not so much for annotating data. Semantic models annotation scarce, as generally semantics heavy process ideal Internet things (IoT) environments, where frequently updated. We present a light model semantically annotate streams, IoT-Stream. It takes advantage common knowledge sharing semantics,...

10.3390/s20040953 article EN cc-by Sensors 2020-02-11

The vision of the Internet Things (IoT) relies on provisioning real-world services, which are provided by smart objects that directly related to physical world. A structured, machine-processible approach provision such services is needed make heterogeneous accessible a large scale and integrate them with digital incorporation observation measurement data obtained from Web data, using information processing knowledge engineering methods, enables construction intelligent interconnected things....

10.12694/scpe.v13i1.766 article EN Scalable Computing Practice and Experience 2012-04-27

Dementia is a neurological and cognitive condition that affects millions of people around the world. At any given time in United Kingdom, 1 4 hospital beds are occupied by person with dementia, while about 22% these admissions due to preventable causes. In this paper we discuss using Internet Things (IoT) technologies in-home sensory devices combination machine learning techniques monitor health well-being dementia. This will allow us provide more effective preventative care reduce...

10.1371/journal.pone.0209909 article EN cc-by PLoS ONE 2019-01-15

In this article, we discuss a technical design and an ongoing trial that is being conducted in the UK, called Technology Integrated Health Management (TIHM). TIHM uses Internet of Things-enabled solutions provided by various companies collaborative project. The Things (IoT) devices are integrated common platform supports interoperable open standards. A set machine-learning data analytics algorithms generate notifications regarding well-being patients. information monitored around clock group...

10.1109/mic.2018.112102418 article EN IEEE Internet Computing 2018-01-01

The development of IoT (Internet Things) applications poses a number scientific and technological challenges which stem from the characteristics domain itself. These include huge increasing connected entities (devices, physical objects, people,...) populating environment, variety their types leads to heterogeneity data produced or consumed by those entities. In this paper we argue that semantic modeling takes up many these explain how core platform developed FI-WARE project supports...

10.1109/bigdata.2014.7004417 article EN 2021 IEEE International Conference on Big Data (Big Data) 2014-10-01

The Internet-of-Things (IoT) is unanimously identified as one of the main pillars future smart scenarios. potential IoT technologies and deployments has been already demonstrated in a number different application areas, including transport, energy, safety healthcare. However, despite growing deployments, majority applications tend to be self-contained, thereby forming silos. A lightweight data centric integration combination these silos presents several challenges that still need addressed....

10.3390/s16071006 article EN cc-by Sensors 2016-06-29

Due to the rapid development of Internet Things (IoT) and consequently, availability more IoT data sources, mechanisms for searching integrating sources become essential leverage all relevant improving processes services. This paper presents search framework IoTCrawler. The IoTCrawler is not only another framework, it a system systems which connects existing solutions offer interoperability overcome fragmentation. In addition its domain-independent design, features layered approach, offering...

10.3390/s21051559 article EN cc-by Sensors 2021-02-24

The Internet of Things (IoT) concept has attracted a lot attention from the research and innovation community for number years already. One key drivers this hype towards IoT is its applicability to plethora different application domains. However, infrastructures enabling experimental assessment solutions are scarce. Being able test assess behavior performance any piece technology (i.e., protocol, algorithm, application, service, etc.) under real-world circumstances utmost importance increase...

10.3390/s18103375 article EN cc-by Sensors 2018-10-10

Infrastructures enabling experimental assessment of Internet Things (IoT) solutions are scarce. Moreover, such infrastructures typically bound to a specific application domain, thus, not facilitating the testing with horizontal approach. This paper presents platform that supports Experimentation as s Service (EaaS) over federation IoT testbeds. brings two major advances. First, it leverages semantic web technologies enable interoperability so testbed agnostic access underlying facilities is...

10.1109/access.2018.2867452 article EN cc-by IEEE Access 2018-01-01

The Internet-of-Things (IoT) is unanimously identified as one of the main pillars future smart scenarios. However, despite growing number IoT deployments, majority applications tend to be self-contained, thereby forming vertical silos. Indeed, ability combine and synthesize data streams services from diverse platforms testbeds, holds promise increase potential in terms size, scope targeted business context. This paper describes system architecture for FIESTA-IoT platform, whose aim federate...

10.1109/eucnc.2017.7980765 article EN 2017-06-01

In recent years, the development and deployment of Internet Things (IoT) devices has led to generation large volumes real world data. Analytical models can be used extract meaningful insights from this However, most IoT data is not fully utilised, which mainly due interoperability issues difficulties analyse collected by heterogeneous resources. To overcome heterogeneity, semantic technologies are create common share various originated sources. semantics add further overhead delivery,...

10.1109/giots.2019.8766367 article EN 2019-06-01

The Real World Internet or the Web of Things has brought an approach to integrate wireless sensor devices in a manner that is natural Web, where sensors are exposed as addressable web resources like any other resource. Although there still clear deficiency with regards managing mobility this approach, and how it affects service users interacting it. work presented here addresses issue aims provide towards maintaining continuity migrating framework builds upon concept 'Web Things'.

10.1109/iccw.2011.5963604 article EN 2011-06-01

The rapid growth in collecting and sharing sensory observation form the urban environments provides opportunities to plan manage services cities better allows citizens also observe understand changes their surrounding a way. new data creates for further application service development by creative industries start-ups. However, as size diversity of this increase, finding accessing right set timely manner is becoming more challenging. This paper describes search engine designed indexing,...

10.1109/giots49054.2020.9119535 article EN 2020-06-01

An important field in exploratory sensory data analysis is the segmentation of time-series to identify activities interest. In this work, we analyse performance univariate and multi-sensor Bayesian change detection algorithms segmenting accelerometer data. particular, provide theoretical also evaluation on synthetic real-world The results illustrate advantages using multi-sensory variance dynamic (e.g. data).

10.1109/icsens.2017.8234260 article EN IEEE Sensors 2017-10-01

Testing and experimentation are crucial for promoting innovation building systems that can evolve to meet high levels of service quality. IoT data belong users from which their personal information be inferred frequently shared in the background with third parties quality services. This sharing raises privacy concerns, as most cases, gathered without user's knowledge or explicit consent. With introduction GDPR, platforms federate different deployments, testbeds, providers must...

10.1109/wf-iot54382.2022.10152206 preprint EN 2022-10-26

Testing and experimentation are crucial for promoting innovation building systems that can evolve to meet high levels of service quality. IoT data belong users from which their personal information be inferred frequently shared in the background with third parties quality services. This sharing raises privacy concerns especially since most cases gathered without user's knowledge or explicit consent different purposes than one were initially gathered. With introduction GDPR, platforms...

10.48550/arxiv.2012.10314 preprint EN cc-by arXiv (Cornell University) 2020-01-01
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