Skip to main content

Professor Ravinesh Deo

Professor Ravinesh Deo
Name Ravinesh Deo
Pronoun He/Him/His
Position Professor (Mathematics)
Section School of Mathematics, Physics and Computing
Office B413
Location Springfield Campus
Phone +61 7 3470 4430
Extension 4430
Qualifications BSc South Pacific , GCertTT&L USQ , MSc(Hons) Canterbury , PhD Adelaide
The views expressed on staff homepages may not reflect the views of the University.

Professor Ravinesh Deo leads UniSQ's Advanced Data Analytics Research Lab in Faculty of Health Engineering and Sciences at University of Southern Queensland Australia. He is a 2021 Clarivate Highly Cited Researcher (1 in 2,828 researchers for cross-field performance) with publications ranking in top 1% by citations for field and publication year in Web of Science citation index and is among scientists and social scientists who have demonstrated significant broad influence, reflected in publication of multiple papers frequently cited by their peers produced each year by the Institute for Scientific Information (ISI)™ at Clarivate. Prof Deo is a leading artificial intelligence (AI) and Machine Learning (ML) researcher with cross-disciplinary expertise in Knowledge & Data Engineering, Deep Learning, AI & ML theoretical developments and applications. With PhD in Signal Processing, BSc in Physics & Mathematics awarded with a Gold Medal, Prof Deo’s research in explainable and interpretable AI has a focus on electrical power systems, renewable energy, radio communications research, environment, and engineering domains. He received an Excellence in Research, Ronel Erwee Memorial Award for Excellence in Postgraduate Supervision, Faculty Research Excellence, University & School Publication Awards, HES Faculty Teaching Excellence Commendation and Elsevier’s Highly Cited Paper Awards Prof Deo was educated in Fiji (at Labasa College one of the highest achieving schools in Fiji) and graduated as a Senior Secondary School National Dux. He received PhD from Adelaide University, Master of Science from University of Canterbury and Bachelor of Science from University of the South Pacific. He is a Program Director and Senior IEEE Member. Prof Deo is an Associate Editor of Energies, IEEE Access, Stochastic Environmental Research and Risk Assessment, Remote Sensing and ASCE Journal of Hydrologic Engineering journals. Providing academic mentorship, Prof Deo is strongly connected with Australian industries including CS Energy, Australian Bureau of Statistics, Queensland Govt, Defence Department, CSIRO and Senetas. Prof Deo received competitive fellowships including Advance Queensland Smithsonian, Young Scientist Exchange, Japan Society for Promotion of Sciences (JSPS), Australia-India Strategic Fellowship and Australia Endeavour Fellowship taking up overseas Visiting Researcher roles. Prof Deo reviews ARC, NISRG and other competitive funding, has been an invited expert on Editorial Boards for Elsevier, Springer and IGI, and has been an international examiner for more than 20 doctoral & masters degree theses. Prof Deo supervises more than 20 HDR students and has graduated 30 PhD and Master students (15 PhDs), many of whom received Distinctions, Excellence in Doctoral and Excellence in Masters Research. More than 10 of his PhD and Masters students received Australian Government DFAT funding. Prof Deo has secured more than A$13.1 Million collaborative funding from sources such as Queensland Government, ARC (DP & LP), Office of National Intelligence, CRC and other Federal Departments including the Defence Science and Technology Group, Australian Bureau of Statistics which supported 5 PhD industry internships. He has achieved over 270 publications co-authored with 395+ scientists nationally and internationally. His publications are cited over 10,200 times, h index 57 and SciVal Field-Weighted Citation Index 3.0 placing him among top cited researchers globally.

Fields of Research (FoR)

  • Environmental Science and Management not elsewhere classified ( 050299 )
  • Artificial Intelligence and Image Processing not elsewhere classified ( 080199 )
  • Pattern Recognition and Data Mining ( 080109 )
  • Atmospheric Radiation ( 040103 )
  • Cloud Physics ( 040106 )
  • Health Information Systems (incl. Surveillance) ( 111711 )
  • Expert Systems ( 080105 )
  • Environmental Management ( 410400 )
  • Artificial Intelligence ( 460200 )

Research interests
Cross-disciplinary Artificial Intelligence and Machine Learning
-Knowledge & Data Engineering
-Artificial Intelligence (AI) & Machine Learning (ML)
-Deep Learning Methods for Decision Support Systems with AI & ML.
Specific Applications to: electrical power systems, radio communications, renewable energy, climate science, environmental sciences and engineering domains

Professional memberships
National Tertiary Education Union (NTEU) - 2020 to present

Editorial Board Member & Associate Editor - Energies (Cite Score 3.8) by MDPI

Elected Senior IEEE (USA) and Editorial Board Member for IEEE Access (Q1) Journal

Editorial Board Member of American Society for Civil Engineers ASCE (USA)

Australian Mathematical Society (MAustMS), Australia

Australasian Association of Engineering Education

Australia Global Alumni (completion of Endeavour Fellowship at McGill University Canada 2015)

Industry affiliations
Defence Science & Technology Group (DSTG) Australian Government Collaborator

Australian Bureau of Statistics (ABS)

Office of National Intelligence

Confirm IT (Queensland Govt.): Office of Chief Adviser Procurement (OCA-P)

External Data Science Leader (US Smithsonian Tropical Research Institute, Panama)

Senior Member Grade of IEEE Organisation

CS Energy - Research Collaboration

Senetas - Research Collaboration

Energy Queensland

USQ Research affiliations

  • Institute for Advanced Engineering and Space Sciences (IAESS)

Currently teaching courses/programs
Undergraduate and Masters Teaching
ENM1500 Introductory Engineering Mathematics - Examiner
MSC8001 Research Project Methodology - Supervisor
MSC8002 Research Project Dissertation - Supervisor

Postgraduate and Higher Degree Teaching:
PhD - Principal & Associate Supervisor
MSCR & MSCN - Principal & Associate Supervisor

Australian Industry
Internship Supervisor, 6 projects

See Research Group at:

Teaching experience(Tertiary)
18 Years

Teaching experience(Other)
0 Years

Administrative responsibilities
Administrative Responsibility (Teaching & Learning)

Postgraduate Program Director for
** Master of Science MSCN since October 2019
** Master of Data Science MADS starting in S 1 2020
** Graduate Diploma and Graduate Certificate in Science since 2020

Postgraduate Program Coordinator from April - September 2019

Examiner & Course Leader
** ENM 1500: Semester 1 2018
** ENM 1500: Semester 3 2019
** ENM 1500: Semester 1 2020

Postgraduate Thesis Examiner Appointment

** The University of Fiji
** Victoria University, Australia
** Pacific Adventist University PNG
** The University of the South Pacific
** University of Southern Queensland

Administrative Responsibility (Research)


Associate Editor - IEEE Access 2020 - present
Associate Editor - ASCE Journal of Hydrologic Engineering 2018 – present
Associate Editor - Stochastic Environmental Research & Risk Assessment 2020 – present.
Editor (SI) Energies ISSN 1996-1073. In section "Electrical Power and Energy System" 2019 - present
Editor (SI) Remote Sensing ISSN 2072-4292. In section "Remote Sensing in Geology, Geomorphology and Hydrology".
Editor (SI) Remote Sensing ISSN 2072-4292. In section "Remote Sensing in Agriculture and Vegetation". 2020 - present

Co-Editor (SI) of Remote Sensing (Open Access) ISSN 2072-4292
Co-Editor of IGI Global Book Predictive Models ISBN13: 9781522547662
Co-Editor of Springer Book Big Data ISBN-13: 978-9811341625
Co-Editor of Elsevier Book Probabilistic Models ISBN: 978-0-12-816514-0
Editor of Springer Book Disaster Mitigation (Upcoming in 2020)
Editor of Elsevier Book Energy Management (Upcoming in 2020)
Co-Editor of Elsevier Book Water Engineering & Mathematics Methods (Upcoming in 2020)

Invited International Grant Reviewer

ARC- Discovery/Linkage/Future Fellowship Projects Assessor
ARC - National Intelligence and Security Discovery Research Grants (NISDRG) Assessor
Netherlands Organisation for Scientific Research
Science Fund of the Republic of Serbia
Swiss National Science Foundation
National Science Centre Poland
Czech Science Foundation
Science Foundation Ireland

Other Service Responsibility

USQ Early and Mid Career Researchers (EMCR) Steering Committee Member (past)
Mentor: Advanced Data Analytics: Environmental Modelling and Simulation Group
School of Science PhD Coordinator
School of Science Research Committee Member
Mentor for USQ Promotion Applications at Level D or lower
Supervisor for RedTrain Scholarships

Research most recent
Major Project Highlights
[1] Australian Department of Defence (DSTG) 2021 – 2023. AI-enabled Autonomous Radios for Contested Communication

[2] Australian Department of Defence (DSTG) 2022. Artificial Intelligence for Decision Making (AI4DM) Challenge

[3] Office of National Intelligence Postdoctoral Grant 2022 – 2024. The Internet of Space Things–Commercial Grade Radio

[4] Australian Research Council Linkage. 2017 – 2020. Privacy Preserving Data Sharing in Electronic Health Environment.

[5] Advance Queensland Smithsonian 2018 – 2019. Attributing land-use / land-cover change influence with artificial intelligence.

[6] CS Energy. 2021. Bias Correction in Numerical Weather Models for Solar Energy Generation.

Nature Series Publications
[1] Domino effect of climate change over two millennia in ancient China’s Hexi Corridor. Nature Sustainability 2 (10), 957-961.

[2] Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China. Nature Scientific Reports 9 (1), 1-11

[3] Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks. Nature Scientific Reports 11 (1), 1-26

[4] Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model. Nature Scientific Reports 8, 16121 (2018).

Research Books: Contributions to Theory & Practice for quantitative researchers and modellers
[1] Deo RC et al (2020). Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation - Theory and Practice. 9. Singapore: Springer. Series ISSN 2363-7633

[2] Deo RC et al (2020). Predictive Modelling for Energy Management and Power Systems Engineering. NY: Elsevier. ISBN: 9780128177723.

Research most notable
(1) Journal of Hydrology 569, 387-408.
Cited 384 times.
Awarded Elsevier's Best Paper.

(2) Bulletin of the American Meteorological Society, 91 (1), 37-46.
Cited 285 times.

(3) Applied Energy 168, 568-593.
Cited 252 times.
Awarded Elsevier's Best Paper.

Publications in ePrints

Al-Hadeethi, Hanan and Abdulla, ShahabORCID: and Diykh, Mohammed and Deo, Ravinesh C.ORCID: and Green, Jonathan H.ORCID: (2022) An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. Frontiers in Neuroinformatics, 15:808339. pp. 1-15.

Yin, Xinwei and Feng, Qi and Li, YanORCID: and Deo, Ravinesh C.ORCID: and Liu, Wei and Zhu, Meng and Zheng, Xinjun and Liu, Ran (2022) An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems. Science of the Total Environment, 806 (2):150599. pp. 1-20. ISSN 0048-9697

Ghimire, Sujan and Deo, Ravinesh C.ORCID: and Casillas-Perez, David and Salcedo-Sanz, Sancho (2022) Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms. Applied Energy, 316:119063. pp. 1-25. ISSN 0306-2619

O'Sullivan, Cherie M. and Ghahramani, AfshinORCID: and Deo, Ravinesh C.ORCID: and Pembleton, KeithORCID: and Khan, Urooj and Tuteja, Narendra (2022) Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data. Science of the Total Environment, 809:151139. pp. 1-15. ISSN 0048-9697

Prasad, Salvin S. and Deo, Ravinesh C.ORCID: and Downs, NathanORCID: and Igoe, Damien and Parisi, Alfio V.ORCID: and Soar, JeffreyORCID: (2022) Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System. IEEE Access. pp. 1-18.

View full listing in ePrints