Rate My Professor Ella Pereira

Her research specializations encompass the Internet of Medical Things (IoMT), fog clustering and resource optimization, machine learning for cognitive impairment detection and diagnosis in Parkinson’s disease, hydration monitoring with wearable sensors, mental health support systems for children and young people, and clinical tools like automated facial assessment for cleft lip outcomes. As Principal Investigator, she directed TechUp (2019–2021) and BEC Systems Integration (2019–2021); as Co-Investigator, she contributed to Creating a 3D Parametric Modelling Community Environment (2017–2018), Assisted Living Technology reviews (2014–2015), and Virtual Arts Companionship for dementia (2014–2016). Key publications include "Machine learning for the detection and diagnosis of cognitive impairment in Parkinson’s Disease: a systematic review" (PLoS ONE, 2024), "A Review of the State of the Art for the Internet of Medical Things" (Sci, 2025), "Towards Data-Driven Hydration Monitoring: Insights from Wearable Sensors and Advanced Machine Learning Techniques" (Electronics, 2024), "Critical analysis of resource sharing and optimization in fog clustering" (IEEE Conference, 2024), and "The digital platform assessment matrix: developing a framework for evaluating digital platforms and systems for children and young people’s mental health support" (Mental Health and Digital Technologies, 2026). With 56 research outputs, including 15 journal articles and 21 conference papers, Professor Pereira collaborates extensively within Edge Hill University and internationally, advancing computing's impact on healthcare.