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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
Email
Qualifications BSc South Pacific , GCertTT&L USQ , MSc(Hons) Canterbury , PhD Adelaide
Homepage https://eportfolio.usq.edu.au/view/view.php?id=116719
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 within Institute for Advanced Engineering and Space Sciences. He is listed in the Top 1% scientists and a Highly Cited Researcher by Clarivate by the Institute for Scientific Information (ISI)™ Web of Science Citation Index. He is also listed as 2% of scientists world-wide both by Elsevier and Stanford University. Prof Deo is also recognised as one of the most influential scholars in Australia and internationally for demonstrated influence reflected in publication of multiple, frequently cited papers for career total as well as 2021 and 2022 single year research papers. Prof Deo is a leading global leader in Artificial Intelligence (AI) and Machine Learning (ML), knowledge and data engineering, deep learning, evolutionary and nature-inspired computational intelligence, optimisation methods, big data in renewable energy and power systems engineering, radio communication systems, Defence and National Intelligence, Internet of Space Things, probabilistic modelling, risk analytics, environmental and engineering domains. With a PhD in Turbulence and Energy (Signal Processing) and a BSc in Physics & Mathematics awarded with a Gold Medal, Prof Deo’s research lies in explainable and interpretable AI/ML is highly applied in the electricity and power systems, renewable energy, including radio communications 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 two Elsevier’s Highly Cited Paper Awards. Prof Deo was educated in Fiji (at Labasa College one of the highest achieving schools in Fiji) graduating as 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 Engineering Applications of Artificial Intelligence, IEEE Access, Stochastic Environmental Research and Risk Assessment and Remote Sensing. 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. 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 50 doctoral & masters degree theses. Prof Deo supervised over 30 PhD and Master students (16 PhD) with 7 PhD students receiving Excellence in Doctoral Research Awards for best thesis. More than 10 of his PhD and Masters students received Australian Government DFAT funding to a value of $1.4 Million. Prof Deo secured over A$16.1 Million collaborative project funding from many sources including a recent Office of National Intelligence and Department of Defence funding (~$500,000), Queensland Government, ARC (DP & LP), CRC and other Federal Departments. These funding supported six PhD industry internships. He has achieved over 270 publications co-authored with 395+ scientists nationally and internationally. His publications are cited over 10,800 times, h index 58 (Scopus 52) and SciVal Field-Weighted Citation Index 3.0 that places him among top cited researchers globally and especially in countries like Japan, Spain, USA, UK, India and Australia.

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 )
  • Energy Generation ( 401703 )
  • Mechanical Engineering ( 401700 )

Research interests
Prof Deo’s expertise is Artificial Intelligence (AI) and Machine Learning (ML) including knowledge and data engineering, deep learning, evolutionary and nature-inspired computational intelligence, optimisation methods, big data analytics in renewable energy and power systems engineering, radio communication systems, Defence and National Intelligence, Internet of Space Things, probabilistic modelling, risk analytics, environmental and engineering domains. Prof Deo has been awarded more than $16.1 million in competitive research grants in cross-disciplinary projects.

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:

https://eportfolio.usq.edu.au/user/u1007881/higher-research-degree-supervision

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)

Editorship

Journals
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

Books
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
INTERNATIONAL AWARDS
- 2020 – Australia-India Strategic Research Fellowship
- 2019 – Advance Queensland Research Fellowship with United States Smithsonian Institute
- 2018 – Japan Society for Promotion of Science International Invitational Research Fellowship
- 2017 – Young Scientist Exchange Program
- 2016 – Australian Endeavour Executive Research Fellowship in Canada
- 2008 – Land & Water Postdoctoral Research Fellowship – The University of Queensland

RESEARCH FUNDING
2022 – 2024 Office of National Intelligence Postdoctoral Grant. The Internet of Space Things–Commercial Grade Radio
2021 – 2023 Department of Defence. AI-enabled Autonomous Radios for Contested Communication
2022 – 2022 Department of Defence. Artificial Intelligence for Decision Making (AI4DM) Challenge
2017 – 2020 Australian Research Council (Linkage). Privacy Preserving in Electronic Health Environment.
2018 – 2019 Advance Queensland. Land-use / Land-cover Change with Artificial Intelligence.
2021 – 2021 CS Energy. Bias Correction in Numerical Weather Models for Solar Generation.
2021 – 2021 Senetas Corporation. Bias Correction in Weather Models for Solar Generation.
2020 – 2021 Australian Bureau of Statistics. Big Data for Multipurpose Surveys
2020 – 2021 Department of Defence. AI-enabled Communications.
2019 – 2019 Queensland Government. Machine Learning Automation of Government Transactions
2019 – 2022 SOIL CRC. Novel Sensor Technologies.

INTERNATIONAL STANDING
Associate Editor - Engineering Applications of Artificial Intelligence (Impact Factor, IF 7.80, Q1)
Associate Editor - IEEE Access (3.76, Q1) (2019-)
Associate Editor - Stochastic Environmental Research and Risk Assessment (3.75, Q1) (2019-)
Co-Guest Editor - Remote Sensing (5.51, Q1)
Co-Guest Editor - Energies (3.05, Q1)
Board Member – 15+ International Scientific Journals
Reviewer for 67 Journals, Books (Elsevier, Springer, IGI Global) forums
International Examiner of 50+ PhD / Master Thesis
Senior IEEE Member – Chair of IEEE International Conference on Machine Learning Applications (USA)
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

RESEARCH & SCHOLARSHIP
- Career total research grant awards of over $16.1 million.
- >270 publications
- International Advisory Committee for > 25 international conferences
- Supervised 30 PhD and Master researchers & > 15 Postdoctoral Fellows


Research most notable
RC Deo, X Wen, F Qi Applied Energy 168, 568-593. A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset – cited 266 times
Winner - Applied Energy's Highly Cited Paper 2016- 2017

ZM Yaseen, RC Deo et al. Advances in Engineering Software 115, 112-125. Predicting compressive strength of lightweight foamed concrete using extreme learning machine model – cited 244 times.

MS Al-Musaylh, RC Deo et al. Advanced Engineering Informatics 35, 1-16. Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia – cited 209 times.


Publications in ePrints

Al-Hadeethi, Hanan and Abdulla, ShahabORCID: https://orcid.org/0000-0002-1193-6969 and Diykh, Mohammed and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Green, Jonathan H.ORCID: https://orcid.org/0000-0003-1468-1970 (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: https://orcid.org/0000-0002-4694-4926 and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 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

Lu, Zhixiang and Feng, Qi and Wei, Yongping and Zhao, Yan and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Xie, Jiali and Zhou, Sha and Zhu, Meng and Xu, Min (2022) Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin. Science of the Total Environment, 851 (Part 2):158359. pp. 1-8. ISSN 0048-9697

Ghimire, Sujan and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 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: https://orcid.org/0000-0002-9648-4606 and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Pembleton, KeithORCID: https://orcid.org/0000-0002-1896-4516 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

View full listing in ePrints