Research output per year
Research output per year
Personal profile
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8 from 327 citations
Last updated 10th March 2023
Biography
Dr Shamaila Iram is a Senior Lecturer in Data Science and programme leader of MSC Data Analytics.
Previously, she was working as Research Fellow at University of Salford where she was involved in a EU Framework Programme, ProSEco, for designing and developing Smart Services for high profile manufacturing industries such as VW, Electrolux etc.
Dr Iram has published numerous peer-reviewed journals, international conferences, and book series. Dr Iram is also a reviewer of high-impact-factor journals and conference papers. She also organises research conferences in the area of Smart Cities, Data Analytics, Machine Learning and Smart Manufacturing.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Expertise and Interests
- Big Data Analysis
- Data Mining
- Machine Learning
- Data Visualisation
- Internet of Things
- Smart Homes
- Smart Cities
- Smart Manufacturing
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Collaborations and top research areas from the last five years
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A Machine Learning Model for the Development of a Digital Twin for a Control Valve for Oil and Gas Pipelines
Anda, I., Mishra, R., Iram, S., Aliyu, A., Jackson, F. & Fleming, L., 12 Jun 2023, 2022 International Conference on Maintenance and Intelligent Asset Management (ICMIAM). IEEE, 6 p. 10146806Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Innovative Machine Learning Technique for the Prediction of Weather Based Smart Home Energy Consumption
Iram, S., Al-Aqrabi, H., Shakeel, H., Farid, H. M. A., Riaz, M., Hill, R., Vethathir, P. & Alsboui, T., 27 Jul 2023, In: IEEE Access. 11, p. 76300-76320 21 p., 10155398.Research output: Contribution to journal › Article › peer-review
Open Access -
A web-based visual analytics platform to explore smart houses energy data for stakeholders: A case study of houses in the area of Manchester
Iram, S., Shakeel, H., Farid, H. M. A., Hill, R. & Fernando, T., 1 Oct 2023, In: Energy and Buildings. 296, 12 p., 113342.Research output: Contribution to journal › Article › peer-review
Open Access -
A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework
Shakeel, H., Iram, S., Al-Aqrabi, H., Alsboui, T. & Hill, R., 19 Sep 2022, In: IEEE Access. 10, p. 96581-96601 21 p.Research output: Contribution to journal › Article › peer-review
Open Access6 Citations (Scopus) -
A Dynamic Multi-Mobile Agent Itinerary Planning Approach in Wireless Sensor Networks via Intuitionistic Fuzzy Set
Alsboui, T., Hill, R., Al-Aqrabi, H., Farid, H., Riaz, M., Iram, S., Shakeel, H. & Hussain, M., 21 Oct 2022, In: Sensors (Switzerland). 22, 20, 17 p., 8037.Research output: Contribution to journal › Article › peer-review
Open Access11 Citations (Scopus)
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A Machine Learning Model for the Development of a Digital Twin for a Control Valve for Oil and Gas Pipelines
Ilyasu Anda (Speaker), Rakesh Mishra (Contributor to Paper or Presentation), Shamaila Iram (Contributor to Paper or Presentation), Aliyu Aliyu (Contributor to Paper or Presentation), Frankie Jackson (Contributor to Paper or Presentation) & Leigh Fleming (Contributor to Paper or Presentation)
14 Dec 2022Activity: Talk or presentation types › Oral presentation
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The 1st International Workshop on Big Data Analytics for Sustainable Environments (BDASE2018)
Shamaila Iram (Chair)
17 Dec 2018Activity: Participating in or organising an event types › Organising a conference, workshop, ...
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On the Early Detection of Neurodegenerative Diseases from Gait and EEG Signals: A Machine Learning Approach
Shamaila Iram (Speaker), Dhiya Al-jumeily (Speaker), Abir Jaffar Hussain (Speaker) & Paul Fergus (Speaker)
31 Mar 2013Activity: Talk or presentation types › Oral presentation