Faculty/School

Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.

Research centre

Centre for Data Science

Supervisors

Associate Professor Chun Ouyang
Position
Associate Professor
Division / Faculty
Faculty of Science
Dr Roy Yang
Position
Postdoctoral Research Fellow
Division / Faculty
Faculty of Science

Overview

Process mining is a field that researches the development of data science methods to address key challenges in organizational management. Recent literature demonstrates the enormous potential of process mining to support workforce analytics (aka HR analytics) in a business process context. A key enabler is the systematic use of interactive data visualization, which offers a guided way to navigate and extract workforce-related insights from event data --- a form of multidimensional, timeseries data recording the reality of business process execution.

Research engagement

  • Literature review
  • Lab-based computational experiments
  • Report writing

Research activities

  • Literature review on (interactive) data visualization, specifically concerning human resource performance analysis
  • Literature review on the use of data visualization in resource-oriented process mining
  • Exploratory data analysis
  • Developing and testing computer algorithms for (interactive) data visualization

Students will be working with myself and A/Prof. Chun Ouyang.

Outcomes

In this project, we will review the literature from both the discipline of data visualization and human resource management. Based on the result of literature analysis, we aim to build a prototypical dashboard to showcase the use of suitable data visualization techniques for workforce analytics. Project outcomes will contribute to advancing the application of data visualization in the process mining field.

Specifically, students are expected to gain a deeper understanding and more developed skills in data visualization, which is transferable and will be helpful for future research projects as well as practical applications.

Skills and experience

  • Knowledge on data visualization and data analytics
  • Programming using Python/R, specifically for prototyping data visualization
  • Knowledge on process mining and/or business process management is preferred
  • Knowledge and skills on web programming is preferred
  • Solid skills for academic writing and communication

Start date

18 November, 2024

End date

21 February, 2025

Location

Gardens Point Campus

Keywords

Contact

Dr Jing (Roy) Yang

roy.j.yang@qut.edu.au