Organization profile

Profile Information

Bond University commenced its programs in Actuarial Science in 2015, and has made a number of academic appointments which serve to strengthen our core capabilities in Big Data, as well as the specific applications of Big Data in areas such as Actuarial Science, Finance and Informatics.  Under the leadership of Professor Terry O’Neill, the establishment of a University Centre in Actuarial and Financial Big Data Analytics will help Bond University establish itself as a significant player in the Big Data and Analytics research space.

Members of the centre have specific big data analytics interests in finance, machine learning, risk management and climate change, amongst others.  Members of the centre have a genuine desire to collaborate and contribute their complimentary skills on a range of innovative big data projects.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

adolescent Social Sciences
Fuzzy Statistics Mathematics
Time Series Analysis Mathematics
Extremal Optimization Mathematics
Official Statistics Mathematics
alcohol consumption Social Sciences
Vector Autoregressive Model Mathematics
Bilinear Model Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.


Photo of Adrian Gepp

Adrian Gepp

Person: Teaching and Research

Photo of Julia Henker

Julia Henker

Person: Teaching and Research

Photo of Simone Kelly

Simone Kelly

Person: Teaching and Research, Research Only


Research Output 1986 2018

An Introductory Note on Big Data and Data Analytics for Accountants and Auditors

Gepp, A. & Parker, M., 2018, Ivey Publishing.

Research output: Other contribution

Big data

Automatically Generating and Solving Eternity II Style Puzzles

Harris, G., Vanstone, B. J. & Gepp, A., 30 May 2018, Recent Trends and Future Technology in Applied Intelligence. IEA/AIE 2018.. Mouhoub, M., Sadaoui, S., Ait Mahomed, O. & Ali, M. (eds.). Cham: Springer, p. 626-632 7 p. (Lecture Notes in Computer Science (LNCS); vol. 10868).

Research output: Chapter in Book/Report/Conference proceedingChapter


Big Data and Social Sciences: a Practical Guide to Methods and Tools

Kumar, K., Jun 2018, In : Journal of the Royal Statistical Society. Series A: Statistics in Society. 181, 3, p. 916 1 p.

Research output: Contribution to journalBook/Film/Article review

Student theses

Experiments with property driven monitoring of C programs

Author: Vorobyov, K., 10 Oct 2015

Supervisor: Krishnan, P. (Supervisor), Randall, M. (Supervisor) & Stocks, P. (Supervisor)

Student thesis: Doctoral Thesis


Financial statement fraud detection using supervised learning methods

Author: Gepp, A., 10 Oct 2015

Supervisor: Kumar, K. (Supervisor) & Bhattacharya, S. (External person) (Supervisor)

Student thesis: Doctoral Thesis


Financing, Firm Size and Productive Efficiency: the Effect of Family Ownership

Author: Barbera, F., 8 Feb 2014

Supervisor: Falvey, R. (Supervisor), Moores, K. (Supervisor) & Rajaguru, G. (Supervisor)

Student thesis: Doctoral Thesis