Idongesit Ekerete

Idongesit Ekerete

Dr, Dr

 https://orcid.org/0000-0003-4072-7178
  • Phone+442895367677
Calculated based on number of publications stored in Pure and citations from Scopus
20182025

Research activity per year

Personal profile

Biography

Idongesit (ID) EKERETE (Member IEEE, IPEM) is a Lecturer in Computing Science at the School of Computing, Ulster University. He currently serves as a Lab Manager in the Pervasive Computing Research Centre in the School. He holds the Fellowship of the Higher Education Academy (FHEA) in the UK.

ID is a co-investigator within the £3.3M Advanced Research and Engineering Centre project funded by PWC within the thematic area of FinCrime. He leads the IEEE SMC UK-Ireland Chapter as the Vice-Chair. He also holds several academic awards such as UNIUYO overall best graduating student award and Prof. Hilary’s for best student award, amongst others.

He received the B.Eng. degree in Electrical/Electronic Engineering (First Class Hons) from the University of Uyo, Nigeria, in 2011. From 2012 to 2013, he was trained as an Instrument and Control Systems Engineer at Shell Petroleum Development Company of Nigeria. He received the M.Sc. degree in Biomedical Engineering from the University of Strathclyde, United Kingdom, in 2017. He was a Lecturer at the Department of Electrical/Electronic Engineering, University of Uyo, Nigeria, from 2011 to 2021.

His research interests include privacy-friendly home-based monitoring; unobtrusive sensing; activity recognition and classification; AI-based activity modelling; sensor fusion and data mining. Others include digital twins, human-computer interaction, pervasive computing, and control systems engineering.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

PhD, Unobtrusive Sensing Solutions for Home-based Monitoring

24 Apr 2018 → 10 Dec 2021

Award Date: 10 Dec 2021

Master, Design and Development of Low-Cost Arduino-Based Electromyography for Home-Based Post-Stroke Rehabilitation, University of Strathclyde

12 Sept 2016 → 11 Sept 2017

Award Date: 8 Sept 2017

ICT in the Faculty of Engineering, University of Uyo, Nigeria., University of Uyo

3 Oct 2005 → 31 Dec 2010

Award Date: 11 Aug 2011

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  • Advanced Gait Analysis for Elder Wellbeing Monitoring

    Goel, A. & Ekerete, I., 8 Jan 2025, Advances in Computational Intelligence Systems. p. 195-207 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Modelling Activities of Daily Living Using Local Interpretable Model-Agnostic Explanation Algorithm

    Onyekwe, H., Ekerete, I., Garcia-Constantino, M. & Nugent, C., 29 Jul 2024, (Published online) Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. Zheng, H., Cleland, I., Moore, A., Wang, H., Glass, D., Rafferty, J., Bond, R. & Wallace, J. (eds.). IEEE, Vol. 10. p. 1-6 6 p. (Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    File
    16 Downloads (Pure)

  • Using Thermal and Contact Sensors for Mood Detection in Smart Living Environments

    Garcia-Constantino, M., Konios, A., Ekerete, I., Mustafa, M. A., Hussein Lopez-Nava, I. & V. Altamirano-Flores, Y., 26 Jun 2024, PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. Karim, E., Nikanfar, S. & Pavel, H. R. (eds.). p. 351-358 8 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Analysis of Accelerometer Data for Personalised Mood Detection in Activities of Daily Living

    Altamirano-Flores, Y. V., Konios, A., Lopez-Nava, I. H., Garcia-Constantino, M., Ekerete, I. & Mustafa, M., 21 Jun 2023, (Published online) 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023: 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom2023). IEEE Xplore, p. 200-205 6 p. (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    File
    1 Citation (Scopus)
    74 Downloads (Pure)

  • Data Mining and Fusion Framework for In-Home Monitoring Applications

    Ekerete, I., Garcia-Constantino, M., McCullagh, P., Nugent, C. & McLaughlin, J., 24 Oct 2023, (Published online) In: Sensors. 23, 21, p. 1-16 16 p., 8661.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    33 Downloads (Pure)
View all 18 research outputs
  • 2 Invited talk