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Professor Ravinesh Deo

Professor Ravinesh Deo
Name Ravinesh Deo
Position Professor (Mathematics)
Section School of Sciences
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.

Prof Ravinesh Deo was educated in Fiji graduating as Senior School Dux. He received PhD from University of Adelaide. He is a Full Professor & Program Director, Senior IEEE Member and a leading researcher in Knowledge & Data Engineering, Deep Learning, Artificial Intelligence (AI) & Machine Learning (ML). With a PhD in Signal Processing, B.Sc. in Physics & Mathematics with Gold Medal and over 18 years of research in AI, ML and data science Prof Deo’s research tackles practical problems designing decision support systems using explainable and interpretable AI and ML with a specific focus on environment, energy, agriculture, health, education, communication and engineering domains. His external leadership is through Associate Editorship of IEEE Access, Stochastic Environmental Research and Risk Assessment, Remote Sensing and ASCE Journal of Hydrologic Engineering journals. Through academic mentorship, Prof Deo is strongly connected with Australian industries including CS Energy, Australian Bureau of Statistics, Queensland Govt, Defence Department, CSIRO and Senetas. He received 2020 Ronel Erwee Memorial Award for Excellence in Postgraduate Research Supervision, 2020 Faculty Research Excellence, five (University & School) Publication Excellence, HES Faculty Teaching Excellence Commendation and Elsevier’s Highly Cited Paper Awards (2019 & 2020). Prof Deo received globally competitive fellowships including Advance Queensland Smithsonian Fellowship, Young Scientist Exchange, JSPS, Australia-India Strategic Fellowship and Australia Endeavour Fellowship taking up Visiting Researcher roles overseas. Prof Deo reviews ARC and competitive funding, is an invited expert on Editorial Board for Elsevier, Springer and IGI and an examiner for doctoral & masters theses. Leading Advanced Data Analytics Group, Prof Deo supervises PhDs many of whom received Excellence in Doctoral Research. Prof Deo worked with projects receiving collaborative funding from sources such as Queensland Government, ARC, CRC and Federal Departments, Australian Defence Science and Technology Group and Australian Bureau of Statistics. He has achieved over 230 publications that has been co-authored with 290 scientists, nationally and internationally. His publications are cited over 7 400 times, h index 46 and SciVal Field-Weighted Citation Index 3.1 placing him among top cited researchers globally. Prof Deo has supervised over 20 PhD/Master degrees and welcomes PhD and Masters studies inquiries or collaborative projects. See https://eportfolio.usq.edu.au/view/view.php?id=116719.


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 )
  • Numerical and Computational Mathematics ( 010300 )
  • Cloud Physics ( 040106 )
  • Health Information Systems (incl. Surveillance) ( 111711 )
  • Expert Systems ( 080105 )
  • Atmospheric Radiation ( 370106 )
  • Image Processing ( 460306 )
  • Environmental Management not elsewhere classified ( 410499 )
  • Pattern Recognition ( 460308 )
  • Health Informatics And Information Systems ( 420308 )
  • Numerical And Computational Mathematics ( 490300 )
  • Artificial Intelligence not elsewhere classified ( 460299 )
  • Artificial Intelligence ( 460200 )
  • Artificial Life And Complex Adaptive Systems ( 460201 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Cloud Physics ( 370107 )

Research interests
Prof Ravinesh has broad interdisciplinary research in areas of: (1) Knowledge & Data Engineering, (2) Artificial Intelligence (AI) & Machine Learning (ML), (3) Deep Learning, (4) Decision Support Systems with AI & ML.

Applications from potential PhD and Masters students are particularly welcome**. ** Expression of Interests from Australia Awards Scholarship Applicants are particularly welcome**. ** Expression of Interest from industry collaborators are particularly welcome**

Professional memberships
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)

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

Affiliate Member (Associate Editor American Society for Civil Engineers ASCE Journal of Hydrologic Engineering

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

Editorial Board Member for: Hydrology Research

Senior Member Grade of IEEE Organisation

CS Energy - Research Collaboration

Senetas - Research Collaboration

USQ Research affiliations

  • Centre for Health, Informatics and Economic Research (CHIER)
  • Centre for Sustainable Agricultural Systems (CSAS)
  • Centre for Applied Climate Sciences (CACS)

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
**Research Books**
Contributions to Theory & Practice aimed for quantitative researchers & modellers

[1] Deo RC, Kisi O, Samui P, Yaseen ZM (2020). Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation - Theory and Practice. https://www.springer.com/gp/book/9789811557712. DOI: https://doi.org/10.1007/978-981-15-5772-9. Singapore: Springer.

[2] Deo RC, Samui P, S S Roy (2020). Predictive Modelling for Energy Management and Power Systems Engineering. https://www.elsevier.com/books/predictive-modelling-for-energy-management-and-power-systems-engineering/deo/978-0-12-817772-3. NY: Elsevier.

**Highlighted External Projects**

[1] AI-enabled Autonomous Radios for Contested Communication, DSTG 2020 – 2023.

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

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


Research most notable
Career Summary: Prof Deo has
** published Nature Sustainability with international team "Domino effect of climate change over two millennia in ancient China’s Hexi Corridor. 2 (10), 957-961"
** published over 225 articles (> 165 high impact journals). More than 80% of paper are in Scopus Quartile 1. His research has been funded by local, state and federal governments in China, Japan, Australia and United Sates.
** has published with more than 290 authors, nationally and internationally, with over 150 international co-authors. See ROD System: https://orhd.usq.edu.au/ROD/index.php?option=com_era&view=publication_list&researcher=0061007881

** has an H-index is 45 reflected by more than 6 800 citations
** was the winner of several Publication Excellence Awards over 2016-2019
** has Field Weighted Citation Index of 3.1 places him in top rank of peers in AI discipline
** has received 2020 Ronel Erwee Memorial Award for Excellence in Postgraduate Research Supervision.
** has received commendations for 2019 Faculty of Health Engineering and Science Excellence Awards for PG and Research Category.

Prof Deo was recipient of 6 research fellowships awarded to top 5% of all applicants:
** United States-Queensland Smithsonian Research Fellowship
** Young Scientist Award
** Japan Society for Promotion of Science Fellowship
** Endeavour Fellowship
** Australia India Strategic Research Fellowship

Prof Deo
** Won First Prize in USQ Unit-Specific Publication Excellence Award (School of Sciences) 2020.
** Was co-author of 4 other journal articles winning Publication Excellence Awards 2020 (Two articles being his PhD student awards)
** Was winner of five Publication Excellence Award at USQ between 2016 and 2020 (Excellence in supervision is reflected by 3 PhD Publication Awards to his PhD students)
** Supervision quality reflected by 4 Excellence in Doctoral Research his PhD students.
** Supervision quality reflected by 7 Masters Dissertations awarded with High Distinction.

Highly Cited Papers available in Google Scholar:
https://scholar.google.com.au/citations?user=J2iydK4AAAAJ&hl=en


Publications in ePrints

Miften, Firas Sabar and Diykh, Mohammed and Abdulla, ShahabORCID: https://orcid.org/0000-0002-1193-6969 and Siuly, Siuly and Green, Jonathan H.ORCID: https://orcid.org/0000-0003-1468-1970 and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 (2021) A new framework for classification of multi-category hand grasps using EMG signals. Artificial Intelligence in Medicine, 112:102005. pp. 1-14. ISSN 0933-3657

Ali, Mumtaz and Prasad, Ramendra and Xiang, Yong and Sankaran, Adarsh and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Xiao, Fuyuan and Zhu, Shuyu (2021) Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia. Renewable Energy, 177. pp. 1033-1044. ISSN 0960-1481

Chand, Bhuwan and Nguyen-Huy, ThongORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 (2021) Artificial neural networks for prediction of Steadman Heat Index. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 293-357. ISBN 978-981-15-5771-2

Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Yaseen, Zaher Mundher and Mushtaq, Shahbaz and Prasad, Ramendra (2021) Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 29-47. ISBN 978-981-15-5771-2

Prasad, Ramendra and Charan, Dhrishna and Joseph, Lionel and Nguyen-Huy, ThongORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Singh, Sanjay (2021) Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 359-381. ISBN 978-981-15-5771-2

View full listing in ePrints

Approved research supervisor in the area of:

  • 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 )
  • Atmospheric Radiation ( 370106 )
  • Image Processing ( 460306 )
  • Environmental Management not elsewhere classified ( 410499 )
  • Pattern Recognition ( 460308 )
  • Health Informatics And Information Systems ( 420308 )
  • Numerical And Computational Mathematics ( 490300 )
  • Artificial Intelligence not elsewhere classified ( 460299 )
  • Artificial Intelligence ( 460200 )
  • Artificial Life And Complex Adaptive Systems ( 460201 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Cloud Physics ( 370107 )


Research topics