13 November 2018:Funding on a new project with Manchester University and Plato Consulting in London has been secured starting in February 2020. It is a survey of how machine learning techniques are used in electronic trading.
25 June 2019: Fethi Rabhi has started a joint project with Professor Carole Comerton-Forde in UNSW School of Finance whose objective is to create a High Frequency Financial Market Measures Database for Australian Equity Markets. The first phase will run from June to December 2019. This is supported by a $25K grant and a Faculty of Engineering Taste of Research Scholarship.
December 2018: A TechVoucher application worth $29,700 between UNSW team (led by Professor Fethi Rabhi) and Cognitivo Consulting was awarded by the NSW Government. The goal of the project is to categorise and enrich data collected from merchant electronic receipts.
22 November 2018: Janet Ge (UTS) and Fethi Rabhi delivered a joint presentation titled Predictive House Pricing Model at the Co.Lab 18 organised by UrbanGrowth NSW Development Corporation and LANDCOM.
22 - 25 October 2018: Fethi Rabhi delivered a workshop on information processing for digital markets at the University of Paderborn for business students.
9 - 10 October 2018: Madhushi Bandara presented a paper at the 18th International SPICE Conference (SPICE 2018) in Greece.
9 - 14 September 2018: FinanceIT participated in the organisation of the international conference on Business Process Management (BPM) 2018 at UTS and Madhushi Bandara presented a paper at one of its workshops (5th International Workshop on the Interrelations between Requirements Engineering & Business Process Management).
6 - 7 September 2018: Madhushi Bandara presented at paper at the 7th Australasian Symposium on Service Research and Innovation organised at Macquaire University.
22 June 2018: Ali Behnaz presented a paper titled A Statistical Learning Ontology for Managing Analytics Knowledge at FinanceCom2018 organised at University of Manchester, UK.
1 March 2018: the team has been awarded a grant by Landcom (part of NSW Government) for a grant on house prices prediction. This is in collaboration with UTS and the University of Wollongong. Details in "Research Projects" page.