World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
10037
World Ranking
7860
National Ranking
470

Overview

Payam Barnaghi is affiliated with Imperial College London in the United Kingdom. Their research primarily spans the fields of Computer Science and Medicine, with a significant focus on both artificial intelligence applications and healthcare-related topics.

The main areas of study in their work include:

  • Computer Science
  • Medicine

Within these fields, they have contributed extensively to several subfields such as:

  • Artificial Intelligence
  • Psychiatry and Mental Health
  • Experimental and Cognitive Psychology
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience

Key topics addressed across their publications are:

  • Dementia and Cognitive Impairment Research
  • Context-Aware Activity Recognition Systems
  • Machine Learning in Healthcare
  • Sleep and Related Disorders
  • Geriatric Care and Nursing Homes
  • Anomaly Detection Techniques and Applications
  • Sleep and Wakefulness Research

Payam Barnaghi has published research in various venues. They have frequently contributed to:

  • arXiv (Cornell University)
  • Alzheimer's & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Internet of Things Journal
  • npj Digital Medicine

Notable recent papers include:

  • "Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World" (2021, IEEE Internet of Things Journal)
  • "Conversational Affective Social Robots for Ageing and Dementia Support" (2021, IEEE Transactions on Cognitive and Developmental Systems)
  • "Continual Learning Using Bayesian Neural Networks" (2020, IEEE Transactions on Neural Networks and Learning Systems)
  • "Network Analysis to Identify Symptoms Clusters and Temporal Interconnections in Oncology Patients" (2022, Scientific Reports)
  • "Ethical Considerations in Design and Implementation of Home-Based Smart Care for Dementia" (2022, Nursing Ethics)

Frequent collaborators of Payam Barnaghi include:

  • Ramin Nilforooshan
  • David Sharp
  • Alexander Capstick
  • Eyal Soreq
  • Samaneh Kouchaki

They have also contributed to book publishing, with at least one book published by Springer Science+Business Media titled The Semantic Web - ISWC 2021 (2021).

Best Publications

  • Ontology paper: The SSN ontology of the W3C semantic sensor network incubator group

    Michael Compton;Payam Barnaghi;Luis Bermudez;RaúL GarcíA-Castro

  • Machine Learning for Internet of Things Data Analysis: A Survey

    Mohammad Saeid Mahdavinejad;Mohammad Saeid Mahdavinejad;Mohammadreza Rezvan;Mohammadreza Rezvan;Mohammadamin Barekatain;Peyman Adibi

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

    Payam Barnaghi;Wei Wang;Cory Henson;Kerry Taylor

  • Service modelling for the Internet of Things

    Suparna De;Payam Barnaghi;Martin Bauer;Stefan Meissner

  • CityPulse: Large Scale Data Analytics Framework for Smart Cities

    Dan Puiu;Payam Barnaghi;Ralf Tonjes;Daniel Kumper

  • From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors' Introduction]

    Payam Barnaghi;Amit Sheth;Cory Henson

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

    Maria Bermudez-Edo;Tarek Elsaleh;Payam Barnaghi;Kerry Taylor

  • Probabilistic Topic Models for Learning Terminological Ontologies

    Wei Wang;Payam Mamaani Barnaghi;Andrzej Bargiela

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

    Frieder Ganz;Daniel Puschmann;Payam Barnaghi;Francois Carrez

  • Publishing linked sensor data

    Payam Barnaghi;Mirko Presser

  • The SSN Ontology of the W3C Semantic Sensor Network Incubator Group

    Michael Compton;Payam Barnaghi;Luis Bermudez;Raúl García-Castro

  • The SENSEI project: integrating the physical world with the digital world of the network of the future

    Mirko Presser;Payam M. Barnaghi;Markus Eurich;Claudia Villalonga

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

    Sefki Kolozali;Maria Bermudez-Edo;Daniel Puschmann;Frieder Ganz

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

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

  • Adaptive Clustering for Dynamic IoT Data Streams

    Daniel Puschmann;Payam Barnaghi;Rahim Tafazolli

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

    Maria Bermudez-Edo;Tarek Elsaleh;Payam Barnaghi;Kerry Taylor

  • Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques

    Shirin Enshaeifar;Ahmed Zoha;Andreas Markides;Severin Skillman

  • Extracting City Traffic Events from Social Streams

    Pramod Anantharam;Payam Barnaghi;Krishnaprasad Thirunarayan;Amit Sheth

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

    Farshad Firouzi;Bahar Farahani;Mahmoud Daneshmand;Kathy Grise

  • Semantic Modelling of Smart City Data

    Stefan Bischof;Athanasios Karapantelakis;Cosmin-Septimiu Nechifor;Amit P. Sheth

  • The SENSEI project: integrating the physical world with the digital world of the network of the future - [global communications newsletter]

    M Presser;P Barnaghi;M Eurich;C Villalonga

Frequent Co-Authors

Klaus Moessner
Klaus Moessner University of Surrey
Amit P. Sheth
Amit P. Sheth University of South Carolina
Rahim Tafazolli
Rahim Tafazolli University of Surrey
David J. Sharp
David J. Sharp Imperial College London
Manfred Hauswirth
Manfred Hauswirth Technical University of Berlin
Christine Miaskowski
Christine Miaskowski University of California, San Francisco
Krzysztof Janowicz
Krzysztof Janowicz University of California, Santa Barbara
Oscar Corcho
Oscar Corcho Technical University of Madrid
Xiao Hu
Xiao Hu University of Hong Kong
Chonggang Wang
Chonggang Wang InterDigital (United States)

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