UniSQ's Artificial Intelligence Applications Laboratory

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Scholarship Announcement - only for exceptionally strong pool of applicants with academic or research achievements

CLOSED| Australia Awards is offering fully funded scholarships for Masters by Research, Masters by Coursework, and a few PhD Scholarships for developing nations. We welcome exceptional applicants with experience and interest in artificial intelligence, environmental, renewable energy, water management, climate and data science areas to contact Ravinesh Deo to discuss how to apply.
CLOSED| USQ is offering Domestic Scholarships for Master of Science (Research) or PhD Scholarships. Email Professor Ravinesh Deo to discuss how to apply.
CLOSED| USQ is offering International Scholarships for PhD. Exceptional students with publications or strong research record can apply.
We are always looking for excellent student talents to apply for Australia Awards Scholarships. Applicants please contact Professor Ravinesh Deo to discuss projects or check this link for examples of projects offered. Email:
ravinesh.deo@usq.edu.au
Applicants with their own scholarship or other funding for PhD or Masters degrees please send a CV with details.

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About Our Research Group

UniSQ's Artificial Intelligence Applications Laboratory is a dedicated research group at University of Southern Queensland within the School of Mathematics Physics and Computing.

The group collaborates with UniSQ's Research Institutes, Schools, Centers and Australian and International universities. Through research and research training of PhD, M.Sc., early and mid career researchers, our group specialises in smart decision systems using advanced data analytics to improve the overall system efficiency. We adopt cutting-edge artificial intelligence (AI) and machine learning (ML) methods. We build smart algorithms for pattern recognition, data mining, deep learning and predictive modelling to support real-life decision-making process in energy, health, defence, agriculture, climate, air quality, environment, national security and communications.

We collaborate on projects with the Australian Research Council, the Australian Government Department of Defence, the Australian Government Office of National Intelligence, CSIRO Data61, CSIRO Environment, Cogninet AI, Nexus eCare, Australian Bureau of Statistics, Electricity Energy Companies, Federal and State Government funding agencies.

We are part of the Australian Data Science Network (ADSN).

Our group motto: Sky is the Limit !

CONTACT GROUP LEADER

Professor Ravinesh Deo. WebLink

This group was formed by Professor Ravinesh Deo the supervisor for PhD and master’s research to provide enriched learning experience to his postgraduate students.

For excellence in supervision Prof Ravinesh Deo recently received the University's Employee Achievement Award [2020 Ronel Erwee Memorial Award for Excellence in Postgraduate Research Supervision] demonstrating ultimate learning experience for his PG students, HES Faculty Excellence in Research for highly productive research leadership in the Faculty of Health Engineering and Sciences, and University's Employee Achievement Award of Excellence in Research after being named as the 2021 Clarivate Highly Cited Researcher with his publications ranking in the top 1% by citations for field and publication year in the Web of Science citation index

The group involves associate supervisors in energy, atmospheric sciences, computing, mathematics, science, engineering technology, health, data science and artificial intelligence. Our group develops machine learning and artificial intelligence algorithms, deep reinforcement learning, meta-models, explainable and interpretable AI and contemporary models. The group completed projects with external industries incl. Australian Bureau of Statistics, Queensland Government, Australian Defence.

Our group works with overseas universities in the Pacific, UK, USA, Europe & Asia and has external supervisors from academia collaborating with USQ supervisors.

Highly Cited Prof Deo.JPG

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UniSQ's Artificial Intelligence Applications Laboratory

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