Dr Ehsan Abedin

Lecturer (Teaching Specialist (Acad))

College of Business, Government and Law

place Law & Commerce
GPO Box 2100, Adelaide 5001, South Australia

Dr. Ehsan Abedin is a lecturer of Business Analytics in the College of Business, Government and Law at Flinders University. Prior to his appointment at Flinders, he served as a postdoctoral research fellow in Data Science and Analytics at The University of Melbourne and Monash University.

Ehsan completed his PhD in Computing and Information Systems at the University of Melbourne in 2023. His research interests encompass Business Analytics, with a particular focus on Social Commerce, Social Network Analysis and Data-driven Decision-making. He has a publication record in several well-known journals, including Acta Psychologica, Plos One, and the Pacific Asia Journal of the Association for Information Systems as well as prominent Information Systems conferences including International Conference on Information Systems (ICIS), the Pacific Asia Conference on Information Systems (PACIS), and the Australasian Conference on Information Systems (ACIS).

Personal webpage: www.ehsanabedin.com

  • Doctor of Philosophy in Computing and Information Systems, The University of Melbourne, 2023
Honours, awards and grants
  • Chief Investigator for a grant (seed funding) from Transforming Energy Markets Research Centre – 2023
  • W. E. and C. H. H. Cook Memorial Award (The University of Melbourne) – 2020
  • Google Travel Scholarship (The University of Melbourne) – 2019
  • Melbourne Research Scholarship (The University of Melbourne) – 2018
  • Letter of appreciation from the chancellor (University of Tehran) – 2018
  • Winner and the first rank in the “Educational and Research Festival” (University of Tehran) – 2016
Topic coordinator
BUSN9233 Data Analysis for Decision Making
BUSN9150 Business Analytics
BUSN1009 Interpreting Business Data
Supervisory interests
Data science
Social network analysis
Expert for media contact
Data mining
Information systems
Data Science
Social Commerce
Social Network Analysis
Available for contact via
Or contact the media team
+61 8 82012092
0427 398 713
Media expertise
  • Data mining
  • Information systems
  • Data Science
  • Social Commerce
  • Social Network Analysis