Skip to main content

Professor Raj Gururajan

Professor Raj Gururajan
Name Raj Gururajan
Position Professor (Information Systems)
Section School of Business
Office A522
Location Springfield Campus
Phone +61 7 3470 4539
Extension 4539
Email
Qualifications PhD Edith Cowan
Languages Tamil (accredited translator)
Homepage http://www.usq.edu.au/users/gururaja
The views expressed on staff homepages may not reflect the views of the University.

Fields of Research (FoR)

  • Information Systems not elsewhere classified ( 080699 )
  • Public Health and Health Services not elsewhere classified ( 111799 )
  • Information and Computing Sciences ( 080000 )
  • ( 420699 )
  • ( 460000 )
  • ( 460999 )

Research interests
Health Information Systems
Nutrition & Obesity Studies
Qualitative Research Methodologies

Professional memberships
Product Development Management Association

Currently teaching courses/programs
CIS8720 - Cyber Capstone Project
CIS8710 - Human Computers for Cyber Security

Teaching experience(Tertiary)
25 Years

Teaching experience(Other)
5 Years

Administrative responsibilities
Member, Academic Board
Reviewer, Australian Research Council Applications
ERA Panel Member
School Campus Coordinator, Springfield Campus

Research most recent
Jahmunah, Vicnesh and Sudarshan, Vidya K. and Oh, Shu Lih and Gururajan, Raj and Gururajan, Rashmi and Zhou, Xujuan and Tao, Xiaohui and Faust, Oliver and Ciaccio, Edward J. and Ng, Kwan Hoong and Acharya, U. Rajendra (2021) Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science. International Journal of Imaging Systems and Technology. pp. 1-17. ISSN 1098-1098

Tao, Xiaohui and Shaik, Thanveer Basha and Higgins, Niall and Gururajan, Raj and Zhou, Xujuan (2021) Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities. Sensors, 21 (3):776. pp. 1-20. ISSN 1424-8220


Research most notable
1. Mental Health and Machine Learning: Currently I am involved in a number of projects where Machine Learning and other AI techniques are used to predict mental health status. These projects are industry projects and my team and I are working with various professional groups in developing cutting edge machine learning algorithms for mental health prediction.

2. Cyber Security: I am also working in the Cyber domain to develop various prediction models using innovative algorithms to identify Cyber Frauds, Customer Profiling and Behaviour prediction.


Publications in ePrints

Jahmunah, Vicnesh and Sudarshan, Vidya K. and Oh, Shu Lih and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Gururajan, Rashmi and Zhou, Xujuan and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Faust, Oliver and Ciaccio, Edward J. and Ng, Kwan Hoong and Acharya, U. Rajendra (2021) Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science. International Journal of Imaging Systems and Technology. pp. 1-17. ISSN 1098-1098

Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Shaik, Thanveer Basha and Higgins, Niall and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Zhou, Xujuan (2021) Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities. Sensors, 21 (3):776. pp. 1-20. ISSN 1424-8220

Zhou, Xujuan and Li, Yuefeng and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Bargshady, GhazalORCID: https://orcid.org/0000-0002-2557-7928 and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Venkataraman, Revathi and Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas (2020) A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection. In: 7th International Conference on Behavioural and Social Computing (BESC 2020), 5-7 Nov 2020, Bournemouth, United Kingdom.

Abdar, Moloud and Zomorodi-Moghadam, Mariam and Zhou, Xujuan and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Barua, Prabal D. and Gururajan, Rashmi (2020) A new nested ensemble technique for automated diagnosis of breast cancer. Pattern Recognition Letters (132). pp. 123-131. ISSN 0167-8655

Zhou, Xujuan and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Li, Yuefeng and Venkataraman, Revathi and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Bargshady, GhazalaORCID: https://orcid.org/0000-0002-2557-7928 and Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas (2020) A survey on text classification and its applications. Web Intelligence, 18 (2). pp. 205-216. ISSN 2405-6456

View full listing in ePrints

Approved research supervisor in the area of:

  • Information Systems not elsewhere classified ( 080699 )
  • Public Health and Health Services not elsewhere classified ( 111799 )


Research topics