Huiru Zheng

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Professor

University of Ulster at Jordanstown

United Kingdom

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About

Huiru Zheng is a Professor at Ulster University - Jordanstown Campus. Based in the UK, her research areas include healthcare communication, wildfire detection and simulation, machine learning applications in agriculture, and digital health technologies. She has authored several recent articles that explore innovative methods for activity recognition, disease detection, and environmental monitoring.

Recent Grants

Grant: Close

SenseCare - Sensor Enabled Affective Computing for Enhancing Medical Care

Open Date: 2016-01-01

Close Date: 2019-12-01

Grant: Close

NOCTURNAL - Night Optimised Care Technology for UseRs Needing Assisted Lifestyles

Open Date: 2009-01-12

Close Date: 2012-01-11

Grant: Close

SMART: Self Management supported by Assistive, Rehabilitation and Telecare Technologies

Open Date: 2008-01-01

Close Date: 2012-06-29

Grant: Close

SMART Rehabilitation: Technological Applications for Use in the Home

Open Date: 2003-01-01

Close Date: 2006-01-01

Grant: Close

Development of an Easy-to-use Metagenomics Platform for Agricultural Science

Open Date:

Close Date:

Articles (15)

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2025

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2022

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2020

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2020

Collaborators (3)

Lu Bai

The Queen's University Belfast

UNITED KINGDOM

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mengyuan wang

University of Ulster

UNITED KINGDOM

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Maurice Mulvenna

University of Ulster

UNITED KINGDOM

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Huiru Zheng

Research Interests

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About

Recent Grants

Articles (15)

A Virtual Simulator to Improve Weight-Related Communication Skills for Health Care Professionals: Mixed Methods Pre-Post Pilot Feasibility Study

Intelligent segmentation of wildfire region and interpretation of fire front in visible light images from the viewpoint of an unmanned aerial vehicle (UAV)

Application of Smart Insoles for Recognition of Activities of Daily Living: A Systematic Review

Approaches for predicting dairy cattle methane emissions: from traditional methods to machine learning

A Representation Learning Approach for Predicting circRNA Back-Splicing Event via Sequence-Interaction-Aware Dual Encoder

Modeling of Wildfire Digital Twin: Research Progress in Detection, Simulation, and Prediction Techniques

DeepHAR: a deep feed-forward neural network algorithm for smart insole-based human activity recognition

Developing a new Phylogeny-driven Random Forest Model for Functional Metagenomics

An Integrative Disease Information Network Approach to Similar Disease Detection

Upper Limb Position Tracking with a Single Inertial Sensor Using Dead Reckoning Method with Drift Correction Techniques

Assessing Impact of Sensors and Feature Selection in Smart-Insole-Based Human Activity Recognition

Mining Similar Aspects for Gene Similarity Explanation Based on Gene Information Network

Analyzing Large Microbiome Datasets Using Machine Learning and Big Data

A Knowledge-Driven Network-Based Analytical Framework for the Identification of Rumen Metabolites

Improving the Inference of Co-Occurrence Networks in the Bovine Rumen Microbiome

Collaborators (3)

Lu Bai

mengyuan wang

Maurice Mulvenna

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