Payam M. Barnaghi

According to our database, Payam M. Barnaghi authored at least 118 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living With Dementia.

Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Anita Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam M. Barnaghi, Eyal Soreq

IEEE Internet Things J., January, 2024

Digital remote monitoring for screening and early detection of urinary tract infections.

Alexander Capstick, Francesca Palermo, Kimberley Zakka, Nan Fletcher-Lloyd, Chloe Walsh, Tianyu Cui, Samaneh Kouchaki, Raphaella Jackson, Martin Tran, Michael Crone, Kirsten Jensen, Paul S. Freemont, Ravi Vaidyanathan, Magdalena Kolanko, Jessica True, Sarah Daniels, David Wingfield, Ramin Nilforooshan, Payam M. Barnaghi

npj Digit. Medicine, 2024

Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction.

Yu Chen, Tianyu Cui, Alexander Capstick, Nan Fletcher-Lloyd, Payam M. Barnaghi

CoRR, 2024

Representation Learning of Daily Movement Data Using Text Encoders.

Alexander Capstick, Tianyu Cui, Yu Chen, Payam M. Barnaghi

CoRR, 2024

MicroT: Low-Energy and Adaptive Models for MCUs.

Yushan Huang, Ranya Aloufi, Xavier F. Cadet, Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi

CoRR, 2024

Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care.

Nivedita Bijlani, Oscar Mendez Maldonado, Ramin Nilforooshan, Payam M. Barnaghi, Samaneh Kouchaki

Comput. Biol. Medicine, 2024

Analyzing entropy features in time-series data for pattern recognition in neurological conditions.

Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi

Artif. Intell. Medicine, 2024

2023

Negotiating the capacities and limitations of sensor-mediated care in the home.

Christine Hine, Ramin Nilforooshan, Payam M. Barnaghi

J. Comput. Mediat. Commun., August, 2023

Discovering Behavioral Patterns Using Conversational Technology for In-Home Health and Well-Being Monitoring.

Maria R. Lima, Ting Su, Mélanie Jouaiti, Maitreyee Wairagkar, Paresh Malhotra, Eyal Soreq, Payam M. Barnaghi, Ravi Vaidyanathan

IEEE Internet Things J., 2023

Interpreting Differentiable Latent States for Healthcare Time-series Data.

Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam M. Barnaghi

CoRR, 2023

Information Theory Inspired Pattern Analysis for Time-series Data.

Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi

CoRR, 2023

Predicting Targets with Data from Non-Conforming Sources.

Alexander Capstick, Payam M. Barnaghi

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks.

Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Editorial: Big data technologies and applications.

Yulei Wu, Yi Pan, Payam M. Barnaghi, Zhiyuan Tan, Jingguo Ge, Hao Wang

Wirel. Networks, 2022

Guest Editorial Special Issue on Green Communications and Networking With Machine Intelligence for Smart Cities.

Edith C. H. Ngai, Payam M. Barnaghi, Salil S. Kanhere, Victor C. M. Leung, Jiangchuan Liu

IEEE Trans. Green Commun. Netw., 2022

Conversational Affective Social Robots for Ageing and Dementia Support.

Maria R. Lima, Maitreyee Wairagkar, Manish Gupta, Ferdinando Rodriguez y Baena, Payam M. Barnaghi, David J. Sharp, Ravi Vaidyanathan

IEEE Trans. Cogn. Dev. Syst., 2022

The effect of COVID-19 on the home behaviours of people affected by dementia.

Alina-Irina Serban, Eyal Soreq, Payam M. Barnaghi, Sarah Daniels, Rafael A. Calvo, David J. Sharp

npj Digit. Medicine, 2022

Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots.

Maitreyee Wairagkar, Maria R. Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C. Etoundi, Tobias Reichenbach, Prashant Iyengar, Sneh Vaswani, Christopher James, Payam M. Barnaghi, Chris Melhuish, Ravi Vaidyanathan

IEEE Internet Things J., 2022

Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources.

Alexander Capstick, Francesca Palermo, Payam M. Barnaghi

CoRR, 2022

Using Entropy Measures for Monitoring the Evolution of Activity Patterns.

Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam M. Barnaghi

Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Multimodal Federated Learning on IoT Data.

Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi

Proceedings of the Seventh IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2022

2021

Continual Learning Using Bayesian Neural Networks.

Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz

IEEE Trans. Neural Networks Learn. Syst., 2021

A New Pattern Representation Method for Time-Series Data.

Roonak Rezvani, Payam M. Barnaghi, Shirin Enshaeifar

IEEE Trans. Knowl. Data Eng., 2021

Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance.

Rajesh Amerineni, Lalit Gupta, Nathan Steadman, Keshwyn Annauth, Charles Burr, Samuel Wilson, Payam M. Barnaghi, Ravi Vaidyanathan

Sensors, 2021

Special Issue on Robustness and Efficiency in the Convergence of Artificial Intelligence and IoT.

Meikang Qiu, Bhavani Thuraisingham, Mahmoud Daneshmand, Huansheng Ning, Payam M. Barnaghi

IEEE Internet Things J., 2021

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.

Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron C. Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo

IEEE Internet Things J., 2021

Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data.

Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi

CoRR, 2021

Multimodal Federated Learning.

Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi

CoRR, 2021

A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data.

Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam M. Barnaghi

CoRR, 2021

An attention model to analyse the risk of agitation and urinary tract infections in people with dementia.

Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam M. Barnaghi

CoRR, 2021

2020

Improving the Accuracy of the Video Popularity Prediction Models through User Grouping and Video Popularity Classification.

Masoud Hassanpour, Seyed Amir Hoseinitabatabaei, Payam M. Barnaghi, Rahim Tafazolli

ACM Trans. Web, 2020

Big Data Intelligent Networking.

Ruidong Li, Houbing Song, Jiannong Cao, Payam M. Barnaghi, Jie Li, Constandinos X. Mavromoustakis

IEEE Netw., 2020

Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots.

Maitreyee Wairagkar, Maria R. Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C. Etoundi, Tobias Reichenbach, Prashant Iyenger, Sneh Vaswani, Christopher James, Payam M. Barnaghi, Chris Melhuish, Ravi Vaidyanathan

CoRR, 2020

Machine learning for risk analysis of Urinary Tract Infection in people with dementia.

Honglin Li, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill

CoRR, 2020

Semi-supervised Federated Learning for Activity Recognition.

Yuchen Zhao, Hanyang Liu, Honglin Li, Payam M. Barnaghi, Hamed Haddadi

CoRR, 2020

Continual Learning Using Task Conditional Neural Networks.

Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz

CoRR, 2020

A Digital Platform for Remote Healthcare Monitoring.

Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Verifying the Causes of Adversarial Examples.

Honglin Li, Yifei Fan, Frieder Ganz, Anthony J. Yezzi, Payam M. Barnaghi

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Enabling Context-Aware Search using Extracted Insights from IoT Data Streams.

Valentinas Janeiko, Roonak Rezvani, Narges Pourshahrokhi, Shirin Enshaeifar, Marianne Krogbæk, Sebastian Holmgard Christophersen, Tarek Elsaleh, Payam M. Barnaghi

Proceedings of the 2020 Global Internet of Things Summit, 2020

Privacy-preserving activity and health monitoring on databox.

Yuchen Zhao, Hamed Haddadi, Severin Skillman, Shirin Enshaeifar, Payam M. Barnaghi

Proceedings of the 3rd International Workshop on Edge Systems, Analytics and Networking, 2020

2019

An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data.

Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli

IEEE Syst. J., 2019

Best practices for publishing, retrieving, and using spatial data on the web.

Linda van den Brink, Payam M. Barnaghi, Jeremy Tandy, Ghislain Atemezing, Rob Atkinson, Byron Cochrane, Yasmin Fathy, Raúl García-Castro, Armin Haller, Andreas Harth, Krzysztof Janowicz, Sefki Kolozali, Bart van Leeuwen, Maxime Lefrançois, Joshua Lieberman, Andrea Perego, Danh Le Phuoc, Bill Roberts, Kerry Taylor, Raphaël Troncy

Semantic Web, 2019

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams.

Sefki Kolozali, María Bermúdez-Edo, Nazli FarajiDavar, Payam M. Barnaghi, Feng Gao, Muhammad Intizar Ali, Alessandra Mileo, Marten Fischer, Thorben Iggena, Daniel Kuemper, Ralf Tönjes

IEEE Internet Things J., 2019

Quality-Based and Energy-Efficient Data Communication for the Internet of Things Networks.

Yasmin Fathy, Payam M. Barnaghi

IEEE Internet Things J., 2019

Continual Learning in Deep Neural Network by Using a Kalman Optimiser.

Honglin Li, Shirin Enshaeifar, Frieder Ganz, Payam M. Barnaghi

CoRR, 2019

IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams.

Tarek Elsaleh, María Bermúdez-Edo, Shirin Enshaeifar, Sahr Thomas Acton, Roonak Rezvani, Payam M. Barnaghi

Proceedings of the 2019 Global IoT Summit, 2019

Lagrangian-Based Pattern Extraction for Edge Computing in the Internet of Things.

Roonak Rezvani, Shirin Enshaeifar, Payam M. Barnaghi

Proceedings of the 6th IEEE International Conference on Cyber Security and Cloud Computing, 2019

2018

BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation.

Aurora González-Vidal, Payam M. Barnaghi, Antonio F. Skarmeta

IEEE Trans. Knowl. Data Eng., 2018

Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams.

Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli

IEEE Syst. J., 2018

A Novel Indexing Method for Scalable IoT Source Lookup.

Seyed Amir Hoseinitabatabaei, Yasmin Fathy, Payam M. Barnaghi, Chonggang Wang, Rahim Tafazolli

IEEE Internet Things J., 2018

The Internet of Things for Dementia Care.

Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, Andreas Markides, Tarek Elsaleh, Sahr Thomas Acton, Ramin Nilforooshan, Helen Rostill

IEEE Internet Comput., 2018

Machine learning for internet of things data analysis: a survey.

Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth

Digit. Commun. Networks, 2018

Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT).

Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli

ACM Comput. Surv., 2018

Kalman Filter Modifier for Neural Networks in Non-stationary Environments.

Honglin Li, Frieder Ganz, Shirin Enshaeifar, Payam M. Barnaghi

CoRR, 2018

Spatio-Temporal Analysis for Smart City Data.

María Bermúdez-Edo, Payam M. Barnaghi

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Web Stream Processing Workshop Chairs' Welcome & Organization.

Payam M. Barnaghi, Jean-Paul Calbimonte, Daniele Dell'Aglio

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

An adaptive method for data reduction in the Internet of Things.

Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Segment Parameter Labelling in MCMC Mean-Shift Change Detection.

Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

IoTCrawler: Browsing the Internet of Things.

Antonio F. Skarmeta, José Santa, Juan A. Martínez, Josiane Xavier Parreira, Payam M. Barnaghi, Shirin Enshaeifar, Michail J. Beliatis, Mirko A. Presser, Thorben Iggena, Marten Fischer, Ralf Tönjes, Martin Strohbach, Alessandro Sforzin, Hien Thi Thu Truong

Proceedings of the 2018 Global Internet of Things Summit, 2018

2017

Quantum load balancing in ad hoc networks.

Masoud Hasanpour, S. Shariat, Payam M. Barnaghi, Seyed Amir Hoseinitabatabaei, Seiamak Vahid, Rahim Tafazolli

Quantum Inf. Process., 2017

IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics.

María Bermúdez-Edo, Tarek Elsaleh, Payam M. Barnaghi, Kerry Taylor

Pers. Ubiquitous Comput., 2017

Adaptive Clustering for Dynamic IoT Data Streams.

Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli

IEEE Internet Things J., 2017

Volatility Based Change Detection in Data Streams.

Alireza Ahrabian, Nazli FarajiDavar, Clive Cheong Took, Payam M. Barnaghi

CoRR, 2017

A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams.

Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi

CoRR, 2017

Virtualized environments, from connectivity to services.

Emmanuel Bertin, Markus Hofmann, Payam M. Barnaghi

Ann. des Télécommunications, 2017

A Non-invasive Wireless Monitoring Device for Children and Infants in Pre-Hospital and Acute Hospital Environments.

Phillip Winderbank-Scott, Payam M. Barnaghi

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Pattern Identification for State Prediction in Dynamic Data Streams.

Shirin Enshaeifar, Seyed Amir Hoseinitabatabaei, Alireza Ahrabian, Payam M. Barnaghi

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Distributed spatial indexing for the Internet of Things data management.

Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

Detecting changes in the variance of multi-sensory accelerometer data using MCMC.

Alireza Ahrabian, Tarek Elsaleh, Yasmin Fathy, Payam M. Barnaghi

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

Data analysis as a web service: A case study using IoT sensor data.

Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

OMI-DL: An Ontology Matching Framework.

Xiulei Liu, Bo Cheng, Jianxin Liao, Payam M. Barnaghi, Li Wan, Jingyu Wang

IEEE Trans. Serv. Comput., 2016

Automated Semantic Knowledge Acquisition From Sensor Data.

Frieder Ganz, Payam M. Barnaghi, François Carrez

IEEE Syst. J., 2016

On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data.

Sefki Kolozali, Daniel Puschmann, María Bermúdez-Edo, Payam M. Barnaghi

IEEE Internet Things J., 2016

On Searching the Internet of Things: Requirements and Challenges.

Payam M. Barnaghi, Amit P. Sheth

IEEE Intell. Syst., 2016

CityPulse: Large Scale Data Analytics Framework for Smart Cities.

Dan Puiu, Payam M. Barnaghi, Ralf Toenjes, Daniel Kuemper, Muhammad Intizar Ali, Alessandra Mileo, Josiane Xavier Parreira, Marten Fischer, Sefki Kolozali, Nazli FarajiDavar, Feng Gao, Thorben Iggena, Thu-Le Pham, Cosmin-Septimiu Nechifor, Daniel Puschmann, João Fernandes

IEEE Access, 2016

Marginal distribution clustering of multi-variate streaming IoT data.

Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli

Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

A distributed in-network indexing mechanism for the Internet of Things.

Yasmin Fathy, Payam M. Barnaghi, Shirin Enshaeifar, Rahim Tafazolli

Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

Physical-cyber-social similarity analysis in smart cities.

Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi

Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

IoT-Lite: A Lightweight Semantic Model for the Internet of Things.

María Bermúdez-Edo, Tarek Elsaleh, Payam M. Barnaghi, Kerry L. Taylor

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

2015

Extracting City Traffic Events from Social Streams.

Pramod Anantharam, Payam M. Barnaghi, Krishnaprasad Thirunarayan, Amit P. Sheth

ACM Trans. Intell. Syst. Technol., 2015

Challenges for Quality of Data in Smart Cities.

Payam M. Barnaghi, María Bermúdez-Edo, Ralf Tönjes

ACM J. Data Inf. Qual., 2015

A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things.

Frieder Ganz, Daniel Puschmann, Payam M. Barnaghi, François Carrez

IEEE Internet Things J., 2015

Physical-Cyber-Social Computing: Looking Back, Looking Forward.

Payam M. Barnaghi, Amit P. Sheth, Vivek K. Singh, Manfred Hauswirth

IEEE Internet Comput., 2015

2014

Probabilistic Matchmaking Methods for Automated Service Discovery.

Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner

IEEE Trans. Serv. Comput., 2014

Multi-resolution data communication in wireless sensor networks.

Frieder Ganz, Payam M. Barnaghi, François Carrez

Proceedings of the IEEE World Forum on Internet of Things, 2014

A Validation Tool for the W3C SSN Ontology based Sensory Semantic Knowledge.

Sefki Kolozali, Tarek Elsaleh, Payam M. Barnaghi

Proceedings of the Joint Proceedings of the 6th International Workshop on the Foundations, 2014

A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing.

Sefki Kolozali, María Bermúdez-Edo, Daniel Puschmann, Frieder Ganz, Payam M. Barnaghi

Proceedings of the 2014 IEEE International Conference on Internet of Things, 2014

2013

From Data to Actionable Knowledge: Big Data Challenges in the Web of Things.

Payam M. Barnaghi, Amit P. Sheth, Cory A. Henson

IEEE Intell. Syst., 2013

Physical-Cyber-Social Computing (Dagstuhl Reports 13402).

Amit P. Sheth, Payam M. Barnaghi, Markus Strohmaier, Ramesh C. Jain, Steffen Staab

Dagstuhl Reports, 2013

Open services for IoT cloud applications in the future internet.

Martin Serrano, Hoan Quoc Nguyen-Mau, Manfred Hauswirth, Wei Wang, Payam M. Barnaghi, Philippe Cousin

Proceedings of the IEEE 14th International Symposium on "A World of Wireless, 2013

Data processing and semantics for advanced internet of things (IoT) applications: modeling, annotation, integration, and perception.

Pramod Anantharam, Payam M. Barnaghi, Amit P. Sheth

Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, 2013

Composition of services in pervasive environments: A Divide and Conquer approach.

Gilbert Cassar, Payam M. Barnaghi, Wei Wang, Suparna De, Klaus Moessner

Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013

A Linked-Data Model for Semantic Sensor Streams.

Payam M. Barnaghi, Wei Wang, Lijun Dong, Chonggang Wang

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012

The SSN ontology of the W3C semantic sensor network incubator group.

Michael Compton, Payam M. Barnaghi, Luis Bermudez, Raul Garcia-Castro, Óscar Corcho, Simon J. D. Cox, John Graybeal, Manfred Hauswirth, Cory A. Henson, Arthur Herzog, Vincent A. Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin R. Page, Alexandre Passant, Amit P. Sheth, Kerry Taylor

J. Web Semant., 2012

An Internet of Things Platform for Real-World and Digital Objects.

Suparna De, Tarek Elsaleh, Payam M. Barnaghi, Stefan Meissner

Scalable Comput. Pract. Exp., 2012

Semantics for the Internet of Things: Early Progress and Back to the Future.

Payam M. Barnaghi, Wei Wang, Cory A. Henson, Kerry Taylor

Int. J. Semantic Web Inf. Syst., 2012

A Resource Mobility Scheme for Service-Continuity in the Internet of Things.

Frieder Ganz, Ruidong Li, Payam M. Barnaghi, Hiroaki Harai

Proceedings of the 2012 IEEE International Conference on Green Computing and Communications, 2012

A Hybrid Semantic Matchmaker for IoT Services.

Gilbert Cassar, Payam M. Barnaghi, Wei Wang, Klaus Moessner

Proceedings of the 2012 IEEE International Conference on Green Computing and Communications, 2012

A test-driven approach for life cycle management of internet of things enabled services.

Ralf Tönjes, Eike Steffen Reetz, Klaus Moessner, Payam M. Barnaghi

Proceedings of the 2012 Future Network & Mobile Summit, Berlin, Germany, July 4-6, 2012, 2012

2011

Rational Research model for ranking semantic entities.

Wei Wang, Payam M. Barnaghi, Andrzej Bargiela

Inf. Sci., 2011

A Probabilistic Latent Factor approach to service ranking.

Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner

Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2011

A mediated gossiping mechanism for large-scale sensor networks.

Frieder Ganz, Payam M. Barnaghi, François Carrez, Klaus Moessner

Proceedings of the Workshops Proceedings of the Global Communications Conference, 2011

Service Modelling for Internet of Things.

Suparna De, Payam M. Barnaghi, Martin Bauer, Stefan Meissner

Proceedings of the Federated Conference on Computer Science and Information Systems, 2011

Context-aware management for sensor networks.

Frieder Ganz, Payam M. Barnaghi, François Carrez, Klaus Moessner

Proceedings of the 5th International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2011), 2011

2010

Probabilistic Topic Models for Learning Terminological Ontologies.

Wei Wang, Payam M. Barnaghi, Andrzej Bargiela

IEEE Trans. Knowl. Data Eng., 2010

Using concept and structure similarities for ontology integration.

Xiulei Liu, Payam M. Barnaghi, Klaus Moessner, Jianxin Liao

Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), 2010

Probabilistic Methods for Service Clustering.

Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner

Proceedings of the 4th International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web, 2010

Publishing Linked Sensor Data.

Payam M. Barnaghi, Mirko Presser

Proceedings of the 3rd International Workshop on Semantic Sensor Networks, 2010

Modeling of sensor data and context for the Real World Internet.

Claudia Villalonga, Martin Bauer, Vincent A. Huang, Jesús Bernat, Payam M. Barnaghi

Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

The SENSEI Real World Internet Architecture.

Vlasios Tsiatsis, Alexander Gluhak, Tim Bauge, Frederic Montagut, Jesús Bernat, Martin Bauer, Claudia Villalonga, Payam M. Barnaghi, Srdjan Krco

Proceedings of the Towards the Future Internet - Emerging Trends from European Research, 2010

2009

Semantic Association Analysis in Ontology-Based Information Retrieval.

Payam M. Barnaghi, Wei Wang, Jayan Chirayath Kurian

Proceedings of the Handbook of Research on Digital Libraries: Design, 2009

Semantic Annotation and Reasoning for Sensor Data.

Wei Wang, Payam M. Barnaghi

Proceedings of the Smart Sensing and Context, 4th European Conference, 2009

2007

Semantic Media in Medical Information Systems.

Jung Ren Lee, Payam M. Barnaghi

Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization, 2007

Semantic-Enhanced Information Search and Retrieval.

Wei Wang, Payam M. Barnaghi, Andrzej Bargiela

Proceedings of The Sixth International Conference on Advanced Language Processing and Web Information Technology, 2007

A Context-Aware Ranking Method for the Complex Relationships on the Semantic Web.

Payam M. Barnaghi, Sameem Abdul Kareem

Proceedings of The Sixth International Conference on Advanced Language Processing and Web Information Technology, 2007

2006

Semantics-based Dynamic Hypermedia Adaptation using the Hidden Markov Model.

Jayan Chirayath Kurian, Payam M. Barnaghi, Michael Ian Hartley

Proceedings of the 1st International Workshop on Semantic-Enhanced Multimedia Presentation Systems (SEMPS-2006), 2006

A Flexible Architecture for Semantic Annotation and Automated Multimedia Presentation Generation.

Payam M. Barnaghi, Sameem Abdul Kareem

Proceedings of the 1st International Workshop on Semantic-Enhanced Multimedia Presentation Systems (SEMPS-2006), 2006

User Mediated Hypermedia Presentation Generation on the Semantic Web Framework.

Jayan Chirayath Kurian, Payam M. Barnaghi, Michael Ian Hartley

Proceedings of the Advances in Artificial Reality and Tele-Existence, 2006