Prof Dineli Mather

STAFF PROFILE

Position

Pro Vice-Chancellor (Graduate Employment)

Faculty

Graduate Employment Division

Department

Office of the PVC(Grad Employ)

Campus

Melbourne Burwood Campus

Qualifications

Bachelor of Science, University of London, 1988
Master of Science (Operational Research), Lancaster University, 1989
Doctor of Philosophy, Monash University, 1998
GCHE Exempt, Deakin University, 2008

Contact

dineli.mather@deakin.edu.au
+61 3 924 43704

Research interests

Stochastic Modelling, Decision Analytics

Teaching interests

Decision Analytics, Business Statistics

Units taught

MIS773

Knowledge areas

Business Analytics, Operations Research, Information Systems

Publications

Filter by

2014

How contagious is your viral marketing campaign? A mathematics model for assessing campaign performance

Prof Mike Ewing, Dr David Stewart, Prof Dineli Mather, Dr Joshua Newton

(2014), Vol. 54, pp. 205-216, Journal of advertising research, New York, N. Y., C1

journal
2008

The effects of the social structure of digital networks on viral marketing performance

Mauro Bampo, Prof Mike Ewing, Prof Dineli Mather, Dr David Stewart, Mark Wallace

(2008), Vol. 19, pp. 273-290, Information systems research, East Lansing, Mich., C1

journal

Grants

Australian Competitive Grants

Enhancing collaborative learning in information systems business analytics using data visualisation and manipulation techniques

A/Prof Jacob Cybulski, Prof Dineli Mather, Dr Susan Keller, Dr Lasitha Dharmasena, Dr Dilal Saundage

OLT Seed Projects - Office for Learning and Teaching

  • 2015: $36,599
  • 2014: $7,107
  • 2012: $165,000

Other Funding Sources

Cognitive Analytics based Topic Mining and Temporal Trend Monitoring from Diverse Text Sources - Buddhi Jayatilleke salary reimbursement

Prof Dineli Mather

  • 2015: $4,021

Supervisions

Associate Supervisor
2017

Dinithi Pallegedara

Thesis entitled: Minimising the Unauthorised Disclosure of Organisational Information via Social Media

Doctor of Philosophy, Dept. of Information Systems & Business Analytics

2016

Morteza Namvar

Thesis entitled: Using business intelligence to support the process of organisational sensemaking

Doctor of Philosophy, Dept. of Information Systems & Business Analytics