Influence analysis for truth discovery

Degree type


Closing date

27 March 2023



Citizenship requirement


About the research project

The development of the Internet and IoT technologies enabled rich amount of data sources. Nowadays, it is very easy to obtain data, but meanwhile, data from different sources describing the same entity or object is usually conflicting and erroneous. How to obtain data with high trustworthiness (i.e., truth discovery), has become a critical problem for many application domains, including ensembled machine learning, crowd sourcing and environment monitoring. This project will investigate the impact of influential relationships among data sources how to use the analysis results in improving the accuracy and efficiency of truth discovery. Novel truth discovery models will be designed and implemented in the project by considering the requirements from different application domains. The proposed methods will be validated in real-world use cases. Both theoretical and practical research outputs are expected to be delivered from this project.

Primary Supervisor

Meet Dr Quan Bai


Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $31,500 per annum (2023 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.


Applicants should review the Higher Degree by Research minimum entry requirements.

Additional eligibility criteria specific to this project/scholarship:

  • Applications are open to Domestic/ International/ Onshore applicants
  • It is recommended that applicants have either of the following capabilities:
  1. Good programming skills; and/or,
  2. Knowledge of AI methodologies
  • Applicants must be able to undertake the project on-campus

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Application process

There is a three-step application process:

  1. Select your project, and check you meet the eligibility and selection criteria;
  2. Contact the Primary Supervisor, Dr Quan Bai to discuss your suitability and the project's requirements; and
  3. Submit an application by the closing date listed above.
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • As part of your application, you will be required to submit a covering letter, a CV including 2 x referees and your project research proposal.

Following the application closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.

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