Christian Nnaemeka Egwim

Christian Nnaemeka Egwim

University of Hertfordshire

H-index: 5

Europe-United Kingdom

About Christian Nnaemeka Egwim

Christian Nnaemeka Egwim, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of Hertfordshire, specializes in the field of Big Data Analytics, Artificial Intelligence, Cloud Computing, Software Development, BIM.

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

Ensemble of ensembles for fine particulate matter pollution prediction using big data analytics and IoT emission sensors

Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle

Systematic review of drivers influencing building deconstructability: Towards a construct-based conceptual framework

Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects

Comparison of machine learning algorithms for evaluating building energy efficiency using big data analytics

Extraction of Underlying Factors Causing Construction Projects Delay in Nigeria

Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors

Random Forest Feature Selection for Particulate Matter (PM10) Pollution Concentration

Christian Nnaemeka Egwim Information

University

Position

Doctoral Researcher

Citations(all)

115

Citations(since 2020)

115

Cited By

0

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

University of Hertfordshire

Google Scholar

View Google Scholar Profile

Christian Nnaemeka Egwim Skills & Research Interests

Big Data Analytics

Artificial Intelligence

Cloud Computing

Software Development

BIM

Top articles of Christian Nnaemeka Egwim

Title

Journal

Author(s)

Publication Date

Ensemble of ensembles for fine particulate matter pollution prediction using big data analytics and IoT emission sensors

Journal of Engineering, Design and Technology

Christian Nnaemeka Egwim

Hafiz Alaka

Youlu Pan

Habeeb Balogun

Saheed Ajayi

...

2023/11/7

Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle

Christian Nnaemeka Egwim

Hafiz Alaka

Eren Demir

Habeeb Balogun

Razak Olu-Ajayi

...

2023/12/28

Systematic review of drivers influencing building deconstructability: Towards a construct-based conceptual framework

Habeeb Balogun

Hafiz Alaka

Christian Nnaemeka Egwim

Saheed Ajayi

2023/3

Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects

Christian Nnaemeka Egwim

Hafiz Alaka

Eren Demir

Habeeb Balogun

Saheed Ajayi

2022/10/13

Comparison of machine learning algorithms for evaluating building energy efficiency using big data analytics

Journal of Engineering, Design and Technology

Christian Nnaemeka Egwim

Hafiz Alaka

Oluwapelumi Oluwaseun Egunjobi

Alvaro Gomes

Iosif Mporas

2022/9/26

Extraction of Underlying Factors Causing Construction Projects Delay in Nigeria

Journal of Engineering, Design and Technology

Christian Nnaemeka Egwim

Hafiz Alaka

Luqman Olalekan Toriola-Coker

Habeeb Balogun

Saheed Ajayi

...

2021/9

Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors

Applied Computing and Informatics

Habeeb Balogun

Hafiz Alaka

Christian Nnaemeka Egwim

2021/8/13

Random Forest Feature Selection for Particulate Matter (PM10) Pollution Concentration

Habeeb Balogun

Hafiz Alaka

Christian Nnaemeka Egwim

Saheed O Ajayi

2021/7/8

An Application Of Machine Learning With Boruta Feature Selection To Improve NO2 Pollution Prediction

EDMIC 2021 CONFERENCE PROCEEDINGS ENVIRONMENTAL DESIGN & MANAGEMENT INTERNATIONAL CONFERENCE

Habeeb Balogun

Hafiz Alaka

Christian Egwim

Saheed Ajayi

2021/7/8

A comparative study on machine learning algorithms for predicting construction projects delay

Sinem Bozkurt

Gulin Elibol

Serkan Gunal

Ugur Yayan

2015/9/2

Effects of Building Information Modeling on Construction Projects Delay: A Systematic Review

Christian Nnaemeka Egwim

Hafiz Alaka

Habeeb Balogun

2021/7/8

Applied artificial intelligence for predicting construction projects delay

Machine Learning with Applications

Christian Nnaemeka Egwim

Hafiz Alaka

Luqman Olalekan Toriola-Coker

Habeeb Balogun

Funlade Sunmola

2021/12/15

See List of Professors in Christian Nnaemeka Egwim University(University of Hertfordshire)

Co-Authors

H-index: 33
Saheed Ajayi

Saheed Ajayi

Leeds Beckett University

H-index: 29
Hafiz Alaka

Hafiz Alaka

University of Hertfordshire

H-index: 27
A. Gomes

A. Gomes

Universidade de Coimbra

H-index: 15
Eren Demir

Eren Demir

University of Hertfordshire

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