Shamaila Iram

Shamaila Iram

University of Huddersfield

H-index: 9

Europe-United Kingdom

About Shamaila Iram

Shamaila Iram, With an exceptional h-index of 9 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Huddersfield, specializes in the field of Lecturer (Data Analysis, Data Mining, Data Visualization, Machine Learning, Software Engineering).

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

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

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

A Machine Learning Model for the Development of a Digital Twin for a Control Valve for Oil and Gas Pipelines

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

A comprehensive state-of-the-art survey on data visualization tools: Research developments, challenges and future domain specific visualization framework

An Approach to Privacy-Preserving Distributed Intelligence for the Internet of Things.

Shamaila Iram Information

University

Position

___

Citations(all)

385

Citations(since 2020)

234

Cited By

238

hIndex(all)

9

hIndex(since 2020)

7

i10Index(all)

9

i10Index(since 2020)

5

Email

University Profile Page

University of Huddersfield

Google Scholar

View Google Scholar Profile

Shamaila Iram Skills & Research Interests

Lecturer (Data Analysis

Data Mining

Data Visualization

Machine Learning

Software Engineering)

Top articles of Shamaila Iram

Title

Journal

Author(s)

Publication Date

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 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

A Machine Learning Model for the Development of a Digital Twin for a Control Valve for Oil and Gas Pipelines

Ilyasu Anda

Rakesh Mishra

Shamaila Iram

Aliyu M Aliyu

FF Jackson

...

2022/12/12

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

A comprehensive state-of-the-art survey on data visualization tools: Research developments, challenges and future domain specific visualization framework

Hafiz Muhammad Shakeel

Shamaila Iram

Hussain Al-Aqrabi

Tariq Alsboui

Richard Hill

2022/9/8

An Approach to Privacy-Preserving Distributed Intelligence for the Internet of Things.

Tariq AA Alsboui

Hussain Al-Aqrabi

Richard Hill

Shamaila Iram

2022/4/22

See List of Professors in Shamaila Iram University(University of Huddersfield)

Co-Authors

H-index: 31
Paul Fergus

Paul Fergus

Liverpool John Moores University

H-index: 19
Martin Randles

Martin Randles

Liverpool John Moores University

H-index: 16
William Hurst

William Hurst

Wageningen Universiteit

H-index: 9
Andrew Attwood

Andrew Attwood

Liverpool John Moores University

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