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Assoc Prof Ravinesh Deo

Assoc Prof Ravinesh Deo
Name Ravinesh Deo
Position Associate 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/user/u1007881/ravinesh
The views expressed on staff homepages may not reflect the views of the University.

Associate Professor Ravinesh Deo is a Senior IEEE Member, researcher in artificial intelligence contributions to the technical discipline data science and deep learning algorithms and tackles problems that are of practical nature such as explainable and interpretable AI. He is the Program Director for Masters, Graduate Diploma and Graduate Certificates and enjoys Associate Editorship of IEEE Access, Energies, Stochastic Environmental Research and Risk Assessment, Remote Sensing and Journal of Hydrologic Engineering contributing to service in data science and AI. He received Highly Cited Paper Award by Elsevier for Applied Energy, Publication Excellence Awards, Teaching Excellence and Faculty Commendation in Research/PG Supervision. He was awarded fellowships under Advance Queensland Smithsonian, Young Scientist, JSPS, Australia-India and Endeavour, held visiting role as Senior Researcher at Smithsonian, McGill University, Tokyo, Kyoto, Kyushu, University of Alcala Spain, University of Singapore, Peking. He is a grant reviewer for ARC and funders in Netherlands, Serbia, Poland, United Kingdom, USA and Switzerland. He serves on Book Editorial Board of Elsevier, Springer and IGI and was examiner for PhD/Masters dissertations. Currently leading Advanced Data Analytics Group, A/Prof Deo supervises >20 higher degree students, has supervised over 18 thesis (four PhD receiving Excellence in Doctoral Research). His research received >$1.6 M funding by industry such as Australian Defence Science and Technology Group, Australian Bureau of Statistics, Queensland Government, ARC, CRC and other external grants. A/Prof Deo has published over 200 papers (85-90% In Q1journals) co-authored with more than 290 scientists internationally. As per Scopus & SciVal, his publications were cited more than 5,100 times with H Index 38 and a SciVal Field-Weighted Citation index of 3.1 that puts him among top cited researchers in AI discipline


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 )

Research interests
ARC Field of Research (FOR): ** A/Prof Ravinesh has broad interdisciplinary research as follows**

080608 Information Systems Development Methodologies
111711 Health Information Systems (incl. Surveillance)
0801 Artificial Intelligence and Image Processing
080109 Pattern Recognition and Data Mining
0103 Numerical and Computational Mathematics
0502 Environmental Science and Management
040103 Atmospheric Radiation
040106 Cloud Physics
080105 Expert Systems

Specific Interests:

Environmental, Health & Energy Informatics
Smart Decision Systems (Deep Learning, Convolutional Neural Networks, Long Short Term Memory Network etc)
Bayesian Inference, Agent-Based & Probabilistic Models, Impacts, Disaster Risk Mitigation with Decision Systems

** 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

American Society for Civil Engineers ASCE (USA)

Elected Senior IEEE (USA)

Australian Mathematical Society (MAustMS), Australia

Australasian Association of Engineering Education

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

Regional Representative (QLD/NT) for Japan Society for Promotion of Science Alumni (completing JSPS Fellowship at Kyushu, Kyoto and Tokyo University 2017-18)

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

Australian Bureau of Statistics (ABS) (USQ Industry Internship Supervisor)

Confirm IT (Queensland Govt.): Office of Chief Adviser Procurement (OCA-P) (USQ Industry PhD Internship Supervisor)

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 Collaborations

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 Teaching
ENM1500 Introductory Engineering Mathematics - Examiner
MSC8001 Research Project Methodology - Supervisor
MSC8002 Research Project Dissertation - Supervisor

Postgraduate and Higher Degree Teaching
Completed Higher Degrees by Supervision
** Associate Professor Ravinesh has supervised 19 PhD and Masters Thesis projects, 18 as Principal Supervisor [40-100%].

Recent Completions
_____________________
[1] Dr K S Dayal: Statistical and Geospatial Tools for Drought-Risk
[2] Dr T Nguyen-Huy: Statistical models of crop yield based on copula functions
[3] Dr R Prasad: High-precision Hybrid Predictive Models for Hydrological Forecasting
[4] A Neupane: Comparison of Data-driven methods for wind forecasting
[5] Dr M Ali. Probabilistic and machine learning models of drought
[6] Dr S Ghimire: Artificial Intelligence for Renewable Energy Utilisation
[7] K Okka: Forecasting Rainfall with copula models
[8] Dr M AL-Musaylh: UNDER EXAMINATION
[9] (PhD) G Bargshady (ARC Linkage Project): UNDER EXAMINATION

Notes
- Dr T Nguyen-Huy awarded USQ Excellence in Doctoral Research - best thesis, 2018
- Dr M Ali awarded USQ Excellence in Doctoral Research - best thesis, 2019
- Dr S Ghimire awarded USQ Excellence in Doctoral Research - best thesis, 2019
- Dr AL-Musaylh awarded USQ Excellence in Doctoral Research - best thesis, 2020

[10] MSCN H Goundar: Photosynthetic-active radiation with data-intelligent model
[11] MSCN J Worral: Ensemble-ANFIS and a hybrid SOM-ANFIS model for stock market forecast
[12] MSCN N Sharma: Wind Speed Forecasting with Self Organizing Map & Extreme Learning Machine
[13] MSCN S Prasad: Optimisation of Wind Power Production
[14] MSCN D T Balalla Mudiyanselage: MARS Model for solar prediction
[15] MSCN B Chand: Heatwave prediction with intelligent models
[16] MSCN S Karalasingham: Short-Term Electrical Energy Demand Prediction
[17] MSCN T Prinsloo: Deep learning models for the prediction of compression strength
[18] MSCN V Currie: Energy Prediction with Deep Learning Models
[19] MSCN S Riley: Photosynthetic Radiation Modelling

Note:
- Students [10 - 18] were awarded the Masters degrees by Distinction.

** Associate Professor Ravinesh supervises the following PhD and Masters students (Principal and Associate Supervision Capacity).

As Principal Supervisor

[1] PhD E McCarthy: 2015 – 06/2021
[2] PhD E Sharma: 2018 - 06/2021
[3] PhD A Masrur: 2019 - 2021
[4] PhD L K Palao: 2019 - 2021
[5] PhD L W Mudiyanselage: 2020 - 2022
[6] PhD A Neupane: 2020 - 2022
[7] PhD S Karalasingham: 2020 - 2022
[8] PhD S Prasad: 2020 - 2022
[9] PhD L Prakash: 2020 - 2022
[10] MSCR M Moishin, Australia Awards Fiji: 2020 - 2021
[11] MSCR A Huynh: 07/2019 - 11/2020
[12] MSCR T Kumie: 2019 - 2020
[13] PhD A Tsai: 2020 - 2022

As Associate Supervisor

[14] PhD D Johnston: 2017 – 2020
[15] PhD H A Hammoodi Al-Hadeethi: 2017 – 2020
[16] PhD A Taranto: 2019 - 2021
[17] PhD C O’Sullivan: 2019 - 2021
[18] PhD M Nasitwitwi (part-time): 2019 - 2024
[19] PhD R Prahal: 2019 - 2021
[20] PhD X Murray: 2020 - 2022
[21] PhD A Tsai: 2020 - 2022
[22] PhD Y Pham: 2017 - 2021
[23] PhD F Riyaz: 2020 - 2022

As Sole Supervisor

[24] MSCN B Manny, Australia Awards PNG: 2020 - 2022
[25] MSCN C Davey: 2020
[26] MSCN A Hossein: 2020
[27] MSCN Illias: 2020

Teaching experience(Tertiary)
18 Years

Teaching experience(Other)
10 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
** Pacific Adventist University PNG
** The University of the South Pacific
** University of Southern Queensland

Administrative Responsibility (Research)

Editorships

Associate Editor of ASCE Journal of Hydrologic Engineering 2018 – present
Associate Editor of Stochastic Environmental Research & Risk Assessment 2020 – present.
Editor (SI) of Energies (Open Access) ISSN 1996-1073
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 Grant Reviewer

Netherlands Organisation for Scientific Research
Australian Research Council - Discover Projects
Science Fund of the Republic of Serbia
Swiss National Science Foundation
National Science Centre Poland

Other Service Responsibility

Elected Executive Member: Japan Society for Promotion of Science Alumni Association in Australia
USQ Early and Mid Career Researchers (EMCR) Steering Committee Member
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 Book** Contributions to Theory & Practice aimed for quantitative researchers & modellers

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.

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.


**Journals** Highest Impact Factor & Most Recent

Ali M, Prasad R, Xiang Y, Deo RC (2020). Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms. Renewable and Sustainable Energy Reviews. 132, 110003.
[Impact Factor = 13.13]

Jong-Min Yeom, Deo RC, et al., (2020). Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables. Renewable and Sustainable Energy Reviews. 109570.
[Impact Factor = 13.13]

Qi F, Yang L, Deo RC, et al., (2019). Domino effect of climate change over two millennia in Ancient China’s Hexi Corridor. Nature Sustainability. 2, 957–961
[Impact Factor = 8.74]

Deo RC, et al., (2019). Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach. Renewable and Sustainable Energy Reviews, 104, 235-261.
[Impact Factor = 13.13]

Ghimire S, Deo RC, et al., (2019). Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction. Renewable and Sustainable Energy Reviews, 113.
[Impact Factor = 13.13]

Al-Musaylh MS., Deo RC, et al., (2019). Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia. Renewable and Sustainable Energy Reviews, 113 (109293).
[Impact Factor = 13.13]


Research most notable
Career Summary

A/Prof Deo has
** published Nature Sustainability with international team of authors. "Domino effect of climate change over two millennia in ancient China’s Hexi Corridor. 2 (10), 957-961"
** published over 200 articles (> 150 high impact journals). More than 80% of his paper are in Scopus Quartile 1. His research has been funded by local, state and federal governments in China, Japan, Australia and United Sates.

A/Prof Deo's
** Scopus H-index is 38.
** Reflected by more than 5,060 citations
** Field Weighted Citation Index of 3.5 places him in top rank of peers in the discipline

A/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

Associate Professor Deo
** Won First Prize in USQ Unit-Specific Publication Excellence Award (School of Sciences) 2020.
** Was co-author of 4 other journal articles that won Publication Excellence Awards 2020 (Two of those 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.


5 Highly Cited Papers

* [Cited 241 times] -
Impacts of land use/land cover change on climate and future research priorities. Bulletin of the American Meteorological Society 91 (1), 37-46, 164

*[Cited 196 times] -
An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction. Journal of Hydrology 569, 387-408

* [Cited 164 times] -
Awarded the 2019 Highly Cited Paper by Elsevier Editor-in-Chief of 'Applied Energy' Journal - Impact Factor 8.49. A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset. Applied Energy 168, 568-593

* [Cited 148 times] -
A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate. Global Change Biology 15 (9), 2206-2223, 111.


*[Cited 149 times] -
Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia. Atmospheric Research 153, 512-525


Publications in ePrints

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

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Samui, Pijush and Kisi, Ozgur and Yaseen, Zaher Mundher (2021) 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. ISBN 978-981-15-5771-2

Dayal, Kavina S. and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Apan, Armando A. (2021) Intelligent data analytics for time series, trend analysis and drought indices comparison. 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. 151-169. 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 )


Research topics