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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 https://www.linkedin.com/in/raj-gururajan-93558552/
The views expressed on staff homepages may not reflect the views of the University.

I have been working in the Australian Tertiary Sector since 1989. I have managed a number of portfolios including Program Director, Research Centre Director, Research Coordinator, Associate Dean (Research), Acting Head of School, Discipline Coordinator and Faculty Equity Coordinator roles among many roles. In terms of teaching, I have taught a variety of subjects in Mathematics, Engineering, Computing, Information Systems, Management and Research Methodologies. Currently I am teaching Information Systems and Cyber Security Courses at USQ. I research in Health Informatics with specific attention paid to developing Intelligent and Decision Support Systems. I have published over 300 refereed papers. In addition to the research papers, I have won Australian National Competitive Grants (ARC Linkage) and other research grants. I am very strong in PhD supervision. I have so far seen the completion of 55 research students. Currently a team of students are studying for PhD with me in the area of Cancer Prediction, Cyber Security Framework Compliance Framework, Money Laundering recognition, Autism and other mental illness prediction systems, assessing the efficacy of a mental health system, Denial of Data Services, Developing a prediction model for aggressive behaviours and Hospital Avoidance Prediction models. These research studies use cutting edge AI techniques such as Federated Systems. I am the recipient of USQ's Research Excellence Award, USQ's Value Champion Award, Queensland Premier's IT Research Excellence Award, Endeavour Executive Award among many other awards. I am an Adjunct Professor of SRM Institute of Science & Technology in India. Currently I am serving as the Treasure of ACPHIS, the peak body representing Australian Information Systems Professors.


Fields of Research (FoR)

  • Information Systems not elsewhere classified ( 080699 )
  • Public Health and Health Services not elsewhere classified ( 111799 )
  • Information and Computing Sciences ( 080000 )
  • Public Health not elsewhere classified ( 420699 )
  • Information Systems not elsewhere classified ( 460999 )
  • Other Information And Computing Sciences ( 469900 )
  • Information Systems ( 460900 )
  • Public Health ( 420600 )

Research interests
Health Information Systems
Nutrition & Obesity Studies
Cyber Security
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

Squires, Matthew and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Elangovan, Soman and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Zhou, Xujuan and Acharya, Udyavara Rajendra (2022) A novel genetic algorithm based system for the scheduling of medical treatments. Expert Systems With Applications, 195:116464. pp. 1-12. ISSN 0957-4174

Wee, Chee Keong and Zhou, Xujuan and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Wee, Nathan (2022) Adaptive Fault Resolution for Database Replication Systems. In: 17th International Conference on Advanced Data Mining and Applications (ADMA 2021), 2 Feb - 4 Feb 2022, Sydney, Australia.

Bargshady, Ghazal ORCID: https://orcid.org/0000-0002-2557-7928 and Zhou, Xujuan and Barua, Prabal DattaORCID: https://orcid.org/0000-0001-5117-8333 and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Li, Yuefeng and Acharya, U. Rajendra (2022) Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images. Pattern Recognition Letters, 153. pp. 67-74. ISSN 0167-8655

Wee, Chee Keong and Zhou, XuJuan and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Chen, Jennifer and Gururajan, Rashmi and Wee, Nathan and Barua, Prabal DattaORCID: https://orcid.org/0000-0001-5117-8333 (2022) Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques. IEEE Access, 10. pp. 44531-44548.

Gopalakrishnan, Abinaya and Venkataraman, Revathi and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Xujuan, Zhou and Genrich, Rohan (2022) Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review. PeerJ Computer Science, 8:e1042. pp. 1-34.

View full listing in ePrints

Research supervisor in the area of:

  • Information Systems not elsewhere classified ( 080699 )
  • Public Health and Health Services not elsewhere classified ( 111799 )
  • Public Health not elsewhere classified ( 420699 )
  • Information Systems not elsewhere classified ( 460999 )
  • Other Information And Computing Sciences ( 469900 )
  • Information Systems ( 460900 )
  • Public Health ( 420600 )


Research topics