Dr Kanika Goel

Profile image of Dr Kanika Goel

Faculty of Science,
School of Information Systems

Personal details


Lecturer in Information Systems (Process Science)
Faculty of Science,
School of Information Systems


Business Process Management, Process Analytics, Process Mining, Data Quality, Data Governance, Data-driven Decision Making, Data Analytics

Research field

Information Systems, Business and Management

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


  • PhD (Queensland University of Technology)

Professional memberships and associations

Women in IT

Women in STEMM

IEEE Task Force on Process Mining

Business Process Management Association

Fellow of Higher Education Academy

DAMA Australia


Teaching Discipline: Information Systems Teaching Interests:

  • Business process modelling
  • Business process automation
  • Workflow management
  • Process mining
  • Process monitoring and analysis
  • Business process improvement
  • Modern data management technologies
  • NoSQL databases
  • Streaming data algorithms and technologies

Teaching History:


Selected publications

QUT ePrints

For more publications by Kanika, explore their research in QUT ePrints (our digital repository).

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