Dr Alireza Moayedikia
Information Systems, Deakin University, Australia; Software Engineering, Staffordshire University, United Kingdom; Software Engineering, Karaj Azad University, Iran, Islamic Republic of
- Swinburne Business School
- Department of Business Technology and Entrepreneurship
- BA1046 Hawthorn campus
Dr Alireza Moayedikia completed his PhD at Deakin University in October 2018. In his PhD he looked at applications of machine learning and optimisation techniques to enhance the business outcome of crowdsourcing platforms. His research specifically has been focused on solutions that can enhance task assignment and answer aggregation on micro-task crowdsourcing to finally improve the accuracy and lower the cost. His PhD research outcomes are published in well-known Q1 journals such as Applied Soft Computing and Engineering Applications of AI. Before the start of his PhD, he published some paper in the area of feature selection with operations research. Currently he is researching in the area of text analytics, crowdsourcing and feature selection.
machine learning; data science
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Co-Supervisor.
Available to supervise honours students.
Fields of Research
- Information Systems - 460900
Business Analytics;Artificial Intelligence applications;Machine learning
Also published as: Moayedikia, Alireza; Moayedikia, A.
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Recent research grants awarded
- 2020: SCOPE 3, collecting and reporting last mile Green House Gas emissions: prototype and field trial *; Scope_FS
* Chief Investigator
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