Dr Prabal Barua
Name | Dr Prabal Barua |
---|---|
Email Address | prabal.barua@unisq.edu.au |
Job Title | Adjunct Professor |
Qualifications | MIS UB, PhD USQ |
Department | School of Mathematics, Physics and Computing |
Affiliations | School of Psychology and Wellbeing |
Centre for Health Research | |
School of Health and Medical Sciences | |
Institute for Life Sciences and the Environment | |
ORCID | https://orcid.org/0000-0001-5117-8333 |
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Biography
Professor Prabal Datta Barua is a highly accomplished researcher, academic and educationist. Professor Barua has 25 years of global leadership experience in education, health and Information Technology. He has established himself as a respected scholar, leader and influencer in the industry. His expertise has been instrumental in providing high-level input and commentary on many Australian and overseas universities' educational strategic policy frameworks.
Professor Barua is a prolific author with over 100 publications in top-tier academic journals and has contributed as a guest editor in many international journals. He has secured over A$3M in government and industry research grants for conducting cutting-edge research in applying Artificial Intelligence in health informatics, education analytics and ICT for business transformation. He is supervising more than 15 research students at both doctoral and master's levels.
Professor Barua is the Academic Dean at the Australian International Institute of Higher Education; an Adjunct Professor at the University of Southern Queensland (UniSQ); a member of the ICT Industry Advisory Board at UniSQ; a member of the ICT Programs Leadership & Governance Committee at UniSQ; a member of Business in AI steering committee at UniSQ; accredited Higher Degree by Research(HDR) supervisor at UniSQ. Professor Barua is also an Adjunct Professor at Taylor's University Malaysia; an Adjunct Professor in New England (UNE); an accredited HDR supervisor at UNE, and Visiting Professor at SRM University of Science and Technology, India. Professor Barua is also an Honorary Professional/Industry Fellow at the University of Technology Sydney (UTS).
Professor Barua is a professional member of the IEEE Computer Society, the Australian Computer Society, The CEO Institute and the Australian Institute of Company Directors.
Professor Barua holds a PhD in Information Systems from the University of South Southern Queensland, Australia; a Master's degree in Information Systems from the University of Ballarat, Australia; a Master's degree in Mass Communication and Journalism from the University of Dhaka; a Bachelor (Honours) degree in Mass Communication and Journalism from the University of Dhaka; a Graduate Certificate in Data Analytics from Melbourn Institute of Technology; multiple diplomas and advanced diploma courses in management and leadership, education and training, project management, programming and software development from the TAFE NSW.
Fields of Research
- 390399. Education systems not elsewhere classified
- 460299. Artificial intelligence not elsewhere classified
- 460912. Knowledge and information management
- 461199. Machine learning not elsewhere classified
- 461299. Software engineering not elsewhere classified
Current Supervisions
Research Title | Supervisor Type | Level of Study | Commenced |
---|---|---|---|
An investigation of future course demand in Australian Universities using AI-driven Sentiment Analysis of Social Media data | Associate Supervisor | Doctoral | 2024 |
AI-enabled Early Detection Tools to Identify Student's Academic Progress and Decisions to Initiate Early Intervention - a review of higher education settings | Associate Supervisor | Doctoral | 2024 |
Application of Artificial Intelligence Techniques for Neurodevelopmental Disorders in Children Using Physiological Signals | Associate Supervisor | Doctoral | 2024 |
Automated detection of ovarian cancer stages using artificial intelligence | Associate Supervisor | Doctoral | 2024 |
AI-driven early intervention of student academic progress using a Learning Management System in an Australian Tertiary Education | Associate Supervisor | Doctoral | 2023 |
Accurate and automated coronary artery plaque detection using computed tomography angiography images | Associate Supervisor | Doctoral | 2023 |
Automated language detection model using artificial intelligence techniques with EEG signals | Associate Supervisor | Doctoral | 2023 |
Automated accurate retinal health screening system | Associate Supervisor | Doctoral | 2022 |
Impacts of the pandemic on expectations of current and future international students in the Australian tertiary education sector | Associate Supervisor | Masters | 2022 |
An Efficient Automated Tool to Characterise Asthma using cough sound signals | Associate Supervisor | Doctoral | 2022 |
Epileptic Seizure Prediction with Heart Rate Variability and ECG Datasets | Associate Supervisor | Doctoral | 2022 |
AI-enabled enrolment/application process through an integrated platform | Associate Supervisor | Doctoral | 2021 |