Richard Hill

Richard Hill

University of Huddersfield

H-index: 25

Europe-United Kingdom

About Richard Hill

Richard Hill, With an exceptional h-index of 25 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Huddersfield, specializes in the field of IIoT, industry 4.0, cloud computing, multiagent systems, IoMT.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dynamic authentication for intelligent sensor clouds in the Internet of Things

Defining Complex Adaptive Systems: An Algorithmic Approach

Missing Data Recovery for Downstream Learning in Low-Cost Environmental Sensor Networks

A web-based visual analytics platform to explore smart houses energy data for stakeholders: A case study of houses in the area of Manchester

Domain modelling for a lightweight convolutional network focused on automated exudate detection in retinal fundus images

Imputation of Missing Clinical Covariates for Downstream Classification Problems

Lightweight convolutional network for automated photovoltaic defect detection

An Innovative Machine Learning Technique for the Prediction of Weather Based Smart Home Energy Consumption

Richard Hill Information

University

Position

Professor of Intelligent Systems

Citations(all)

2626

Citations(since 2020)

1421

Cited By

1576

hIndex(all)

25

hIndex(since 2020)

19

i10Index(all)

67

i10Index(since 2020)

47

Email

University Profile Page

Google Scholar

Richard Hill Skills & Research Interests

IIoT

industry 4.0

cloud computing

multiagent systems

IoMT

Top articles of Richard Hill

Title

Journal

Author(s)

Publication Date

Dynamic authentication for intelligent sensor clouds in the Internet of Things

International Journal of Information Security

Hussain Al-Aqrabi

Ahmed M Manasrah

Richard Hill

Mohammed Q Shatnawi

Mohammad Sh Daoud

...

2024/3/13

Defining Complex Adaptive Systems: An Algorithmic Approach

Systems

Muhammad Ayyaz Ahmad

George Baryannis

Richard Hill

2024/1/30

Missing Data Recovery for Downstream Learning in Low-Cost Environmental Sensor Networks

Benjamin Agbo

Hussain Al-Aqrabi

Tariq Alsboui

Muhammad Hussain

Richard Hill

2023/5/24

A web-based visual analytics platform to explore smart houses energy data for stakeholders: A case study of houses in the area of Manchester

Energy and Buildings

Shamaila Iram

HM Shakeel

Hafiz Muhammad A Farid

Richard Hill

Terrence Fernando

2023/10/1

Domain modelling for a lightweight convolutional network focused on automated exudate detection in retinal fundus images

Burcu Ataer Aydin

Muhammad Hussain

Richard Hill

Hussain Al-Aqrabi

2023/5/24

Imputation of Missing Clinical Covariates for Downstream Classification Problems

IEEE Access

Benjamin Agbo

Hussain Al-Aqrabi

Tariq Alsboui

Muhammad Hussain

Richard Hill

2023/9/20

Lightweight convolutional network for automated photovoltaic defect detection

Arsalan Zahid

Muhammad Hussain

Richard Hill

Hussain Al-Aqrabi

2023/5/24

An Innovative Machine Learning Technique for the Prediction of Weather Based Smart Home Energy Consumption

IEEE Access

Shamaila Iram

Hussain Al-Aqrabi

Hafiz Muhammad Shakeel

Hafiz Muhammad Athar Farid

Muhammad Riaz

...

2023/6/19

A Review on Defect Detection of Electroluminescence-Based Photovoltaic Cell Surface Images Using Computer Vision

Tahir Hussain

Muhammad Hussain

Hussain Al-Aqrabi

Tariq Alsboui

Richard Hill

2023/5/10

Custom lightweight convolutional neural network architecture for automated detection of damaged pallet racking in warehousing & distribution centers

IEEE Access

Muhammad Hussain

Richard Hill

2023/6/7

A Scalable Decentralized and Lightweight Access Control Framework Using IOTA Tangle for the Internet of Things.

Tariq AA Alsboui

Muhammad Hussain

Hussain Al-Aqrabi

Richard Hill

Mohammad Hijjawi

2023/4/21

Foreword: Higher Education Computer Science in a Post-Pandemic World

George Baryannis

Richard Hill

2023/5/29

Predicting Academic Performance of University Students Using Machine Learning: A Case Study in the UK

Titilayo Olabisi Soyoye

Tianhua Chen

Richard Hill

Keith Mccabe

2023/10/26

Electro-Optic Sensor for Measuring Electrostatic Fields in the Frequency Domain

Applied Sciences

Antonio Cristiano

Michal Krupa

Richard Hill

2022/8/26

A Case Study of Diabetes Diagnosis Using a Neuro-Fuzzy System

Reginald Russell

Tianhua Chen

Richard Hill

2022/10/26

Multi-Mobile Agent Security by Design Itinerary Planning Approach in Wireless Sensor Network

Saad Khan

Tariq Alsboui

Richard Hill

Hussain Al-Aqrabi

2022/12/28

Hierarchical planning in a supervisory control context with compositional abstraction

Discrete Event Dynamic Systems

Juliana Vilela

Richard Hill

2022/3/1

Statistical Analysis and Development of an Ensemble-Based Machine Learning Model for Photovoltaic Fault Detection

Energies

Muhammad Hussain

Hussain Al-Aqrabi

Richard Hill

2022/7/29

A dynamic multi-mobile agent itinerary planning approach in wireless sensor networks via intuitionistic fuzzy set

Sensors

Tariq Alsboui

Richard Hill

Hussain Al-Aqrabi

Hafiz Muhammad Athar Farid

Muhammad Riaz

...

2022/10/21

Method Agnostic Model Class Reliance (MAMCR) Explanation of Multiple Machine Learning Models

Abirami Gunasekaran

Minsi Chen

Richard Hill

Keith McCabe

2022/12/9

See List of Professors in Richard Hill University(University of Huddersfield)

Co-Authors

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