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Dr Ravinesh Deo

Dr Ravinesh Deo
Name Ravinesh Deo
Position Senior Lecturer (Mathematics)
Section School of Agricultural, Computational and Environmental 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.

Fields of Research (FoR)

  • Applied Mathematics not elsewhere classified ( 010299 )
  • Atmospheric Dynamics ( 040102 )
  • Climatology (excl.Climate Change Processes) ( 040105 )
  • Meteorology ( 040107 )
  • Atmospheric Sciences not elsewhere classified ( 040199 )
  • Natural Hazards ( 040604 )
  • Surfacewater Hydrology ( 040608 )
  • Physical Geography and Environmental Geoscience not elsewhere classified ( 040699 )
  • Earth Sciences not elsewhere classified ( 049999 )
  • Environmental Science and Management not elsewhere classified ( 050299 )
  • Agricultural Systems Analysis and Modelling ( 070105 )
  • Artificial Intelligence and Image Processing not elsewhere classified ( 080199 )
  • Environmental Engineering not elsewhere classified ( 090799 )
  • Energy Generation, Conversion and Storage Engineering ( 091305 )
  • Fluidisation and Fluid Mechanics ( 091504 )

Research interests
- Applied Mathematics and Statistical Modelling: Agriculture & Water Resources
- Energy Informatics (Modelling & Simulation), Climate Modelling, Renewable Energy Utilisation, Environment, Agriculture, - Hydrology and Water Applications
- Smart Decision Systems, Deep Learning, Convolutional Neural Network & Short- & Long-term Neurals
- Artificial and Computational Intelligence: Dynamical Real-time and Self-Adaptive Prediction Systems
- Online (real-time) Integrated Data Transformative Algorithms in Complex Natural Systems
- Artificial Intelligence, GIS and remote sensing approaches: land use/land cover/drought/weather extremes
- Bayesian Inference, Agent-Based & Probabilistic Models
- Climate/Atmospheric Sciences, Human Impacts, Risk Mitigation with Decision-Support Systems
- Artificial Intelligence & Predictive Modelling to Enhance Teaching & Learning

Professional memberships
American Society for Civil Engineers ASCE (USA)

Elected Senior IEEE (USA)

Elected Member Institute of Physics (MInstP) UK

Australian Mathematical Society (MAustMS), Australia

American Geophysical Union (AGU) USA

Australasian Association of Engineering Education

Australia Global Alumni (completion of Endeavor 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
Associate Editor ASCE Journal of Hydrologic Engineering, USA

American Society for Civil Engineers ASCE (USA)

Editorial Board Member Hydrology Research, Journal of: German Hydrological Society (DHG) and Italian
Hydrological Society (IHS)

Chinese Academy of Sciences (completion of Chinese President's International Fellowship Program 2016)

USQ Research affiliations

  • Institute for Agriculture and the Environment (IAgE)
  • Institute for Resilient Regions (IRR)
  • International Centre for Applied Climate Sciences (ICACS)

Currently teaching courses/programs
Higher Degree Research (Supervisions)

Recently Completed PhD & Masters by Research (4):
(1) Kavina S Dayal, “Application of Statistical and Geospatial Tools for Drought-Risk Assessment”: PhD 2015 – 2017 (Principal Supervisor). Status: AWARDED
(2) PhD Thong Nguyen-Huy, “Statistical modelling of crop yield based on copula functions and machine learning models”: 2015 – 2018. Status: AWARDED
(3) PhD Ramendra Prasad, “Development of High-precision Hybrid Predictive Models for Hydrological Forecasting”: 2016 – 2018. Status: AWARDED
(4) MSCR Ananta Neupane, “Comparison of Data-driven methods for wind forecasting”, MSCR 2017 – 2018. Status: AWARDED

Note - Dr Thong Nguyen-Huy also awarded USQ Excellence in Doctoral Research for highest possible examination results for a PhD program.

Recently Completed Masters Dissertation (5):
(5) MSCN Harshna Goundar, “Modelling photosynthetic-active radiation with data-intelligent models”, 2018
(6) MSCN John Worral, “Artificial Intelligence Applications and Optimisation Techniques for Financial Forecasting”, 2018
(7) MSCN Neelesh Sharma, "Optimization of wind power production with High-Precision Forecasting Models using Geophysical, Statistical, and Evolutionary Modelling Approaches", 2018
(8) MSCN Shobna Prasad, "Optimisation of Wind Power Production: Case Studies in Australia", 2018
(9) MSCN Dilki Tharaka Balalla Mudiyanselage, "MARS Modelling for solar energy prediction in regional Queensland", 2018

Current PhD Supervision - Principal Role (5)

(1) PhD Mumtaz Ali. Probabilistic and machine learning modelling of drought characteristics and impacts on agriculture”, 2016 – 2018. Submission: May 2019
(2) PhD Sujan Ghimire, “Artificial Intelligence (AI) for Renewable Energy Sector: Modelling Solar Energy Potentials”, 2016 – 2019. Submission May 2019.
(3) PhD Mohanad AL-Musaylh, "Development of Data Intelligent Models for Electricity Demand Forecasting": 2016 - 2019. Submission November 2019
(4) PhD Elizabeth McCarthy, “Using Intelligent Machine Learning Models”, MSCR / PhD 2015 – 2020
(5) PhD Ekta Sharma, "Air Quality Prediction using Deep Learning, 2018 - 2020
(6) PhD Abul Masrur, "Downscaling global climate models in Australia for water security problems". 2019 - 2021.

Current PhD Supervision Associate Role (3)
(7) PhD David Johnston, “Developing and testing novel and automated approaches for biophysical crop modelling”, 2017 – 2019
(8) PhD Hanan Ali Hammoodi Al-Hadeethi, “Novel approaches to data analytics for agricultural applications”, 2017 – 2019
(9) PhD Ghazal Bargshady, "Enhanced Deep Learning Model for Chronic Pain Intensity Estimation, 2017 - 2019 (ARC project)'

Current Masters by Research & Dissertation Project Supervision (3)
(10) MSCR Kingsten Okka, "Crop yield modelling with copula-statistical models in PNG’s coffee industry", Australia Awards 2017 - 2019. Submission May 2019.
(11) MSCN Sagthitharan Karalasingham, “Machine Learning for Engineering Problems”, MSCC 2017 – 2018
(12) MSCN Bhuwan Chand, "Heatwave modelling with data intelligent models: case studies in Australia", 2018-2019
(13) MSCN Theo Prinsloo, "Machine learning in engineering problems", 2019.
(14) Vince Currie, "Electricity demand prediction using machine learning", 2019.

Masters Level 8 Course Supervision
MAT8180 : Wavelet Transformation and Artificial Neural Network in Environmental Modelling (5 projects in 2018)
MAT8190 : Random Forest, Multiple Regressions and Optimisation of Neural Networks (4 projects in 2018)
CSC8410 : Optimisation Techniques in Artificial Neural Network (1 project in 2018)
CSC8411 : Copula Statistical Models (4 projects in 2018)

Honors Project Supervisor (available projects)
SCI4409 Science Honors Project (projects are available ) Contact Ravinesh Deo

Masters Project Supervisor
MSC8001 Research Project 1
MSC8002 Research Project 2

Undergraduate Courses:
ENM1500 Introductory Engineering Mathematics (Course Leader/Examiner)

Teaching experience(Tertiary)
10 Years

Teaching experience(Other)
5 Years

Administrative responsibilities
Examiner & Course Leader ENM 1500 Semester 3 2019
Examiner & Course Leader ENM 1500 Semester 1 2018
Associate Editor ASCE Journal of Hydrologic Engineering
Editor Special Issue 'Energies' Q1 Journal: "Modelling and Simulation of Smart Energy Management Systems"
Editorial Board Member Hydrology Research
Leader: Advanced Data Analytics: Environmental Modelling and Simulation Research Group
Principal Supervisor Higher Degree Research
Topic Supervisor Master of Science Research
Supervisor RedTrain Scholarships (supervised 2 students)

Research most recent
Recent Research Grants & Successful Fellowships:

(1). 2018 - 2021: US $90,000: Chinese Academy of Science: Northwest Institute of Eco-Environment: Principal Investigator. “Integration & application of water security technology”

(2). 2018: $16,250: Advance Queensland-Smithsonian Fellowship Program: project leader with U.S. Smithsonian Tropical Research Institute, Panama & USA

(3). 2018 Australia-China Young Scientists Exchange Program (YSEP): emerging leader development visit to Chinese Academy of Sciences, Peking University and Northwest Normal University China.

(4). 2017 Japan Society for Promotion of Science (JSPS) International Invitational Fellowship (short-term) - 26% success rate in 2017 round: emerging leader development visit

(5). 2016 CAS Presidential International Fellowship Initiative - funded by Chinese Academy of Science: emerging leader development visit to Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou.

(6). 2015 Australian Govt. Endeavor Executive Fellowship: transformative leadership program at McGill University Canada

Publication Excellence with Field Impacts

Deo Ravinesh C, Sahin Mehmet (2017). Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland. Renewable & Sustainable Energy Reviews. 72, 822 - 847.
[Impact Factor =8.050]
[Winner USQ Publication Excellence Award] (Both School and University-Category Awards 2017 and 2018)

Deo Ravinesh C, Wen Xiaohu, Qi, Feng (2016). A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset. Applied Energy, 168, 568 - 593
[Impact Factor = 7.200]
[Winner USQ Publication Excellence Award] (Both School and University-Category Awards 2016 and 2017)

Salcedo-Sanz S., Deo RC, Cornejo-Bueno L., Camacho-Gomez C., Ghimire S. (2018). An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in Sunshine State of Australia. Applied Energy. 209(79-94).
[Impact Factor = 7.200]

Maraseni T, Deo RC, Qu J, Gentle P, Neupane PR. (2018). An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production. Journal of Cleaner Production. In Press.
[Impact Factor = 5.715]

Rahim Barzegara, Asghar Asghari Moghaddam, Deo RC, Elham Fijani, Evangelo Tziritis. (2018). Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms. Science of the Total Environment. In Press.
[Impact Factor = 4.900]

Deo RC, Ghorbani MA, Samadianfrad S, Maraseni T, Bilgili M, Biazar M. (2018). Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data. Renewable Energy.116 (Part A): 309 – 323
[Impact Factor = 4.351]

Cao J, Xu Z, Deo RC, Gong Y, Qi F, Yang S, Li M, Zhou J, Zhang J, Liu M. (2018). Multi-household grazing management pattern maintains better soil fertility. Agronomy for Sustainable Development. In Press.
[Impact Factor = 4.101]


Editor of Recent Books

(1). Big data in engineering applications, Eds. SS Roy, P Samui, R Deo, S Ntalampiras, Springer

(2). Handbook of research on predictive modeling and optimization methods in science and engineering. Eds. D Kim, SS Roy, T Lansivaara, RC Deo, P Samui, IGI Publishing (IGI Global)

Editor of Books - Current

(1). Samui P, Bui DT, Chakraborty S, Deo RC. (Eds.) (2018-in progress). Handbook of Probabilistic Models. New York, NY: Elsevier. Publication Date January 2019.

(1). Deo RC., Samui P, Salcedo-Sanz S (Eds.) (2018-in progress). Energy Management Systems with Data Intelligence: Theory and Practice for Modern Scientists and Engineers. New York, NY: Elsevier. Publication Date May 2019.


Research most notable
Impacts of land use/land cover change on climate and future research priorities. R Mahmood, RA Pielke Sr, KG Hubbard, D Niyogi, G Bonan, P Lawrence, ...Deo RC. (2010). Bulletin of the American Meteorological Society 91 (1), 37-46, 164:
[Cited 177 times]

A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate. (2009). CA McAlpine, J Syktus, JG Ryan, RC Deo, GM McKeon, HA McGowan, Global Change Biology 15 (9), 2206-2223 111.
[Cited 119 times]

Modeling the impact of historical land cover change on Australia's regional climate. (2007). CA McAlpine, J Syktus, RC Deo, PJ Lawrence, HA McGowan. Geophysical Research Letters 34 (22).
[Cited 102 times]

Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia. RC Deo, JI Syktus, CA McAlpine, PJ Lawrence. (2009). Geophysical Research Letters 36, L08705
[Cited 77 times]

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia. RC Deo, M Sahin. (2015). Atmospheric Research 153, 512-525.
[Cited 66 times].

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset. RC Deo, X Wen, F Qi. (2016). Applied Energy 168, 568-593.
[Cited 67 times].

Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters. RC Deo, M Sahin. (2015). Atmospheric research 161, 65-81.
[Cited 65 times]

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland. RC Deo, M Sahin. (2015). Environmental monitoring and assessment 188 (2), 90
[Cited 22 times]


Publications in ePrints

Yaseen, Zaher Mundher and Sulaiman, Sadeq Oleiwi and Deo, Ravinesh C. and Chau, Kwok-Wing (2019) 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. pp. 387-408. ISSN 0022-1694

Ghorbani, Mohammad Ali and Deo, Ravinesh C. and Kashani, Mahsa H. and Shahabi, Mahmoud and Ghorbani, Shahryar (2019) Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity. Soil and Tillage Research, 186. 152-164. ISSN 0167-1987

Nguyen-Huy, Thong and Deo, Ravinesh C. and Mushtaq, Shahbaz and Kath, Jarrod and Khan, Shahjahan (2019) Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies. Stochastic Environmental Research and Risk Assessment. pp. 1-21. ISSN 1436-3240

Fijani, Elham and Barzegar, Rahim and Deo, Ravinesh and Tziritis, Evangelos and Konstantinos, Skordas (2019) Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters. Science of the Total Environment, 648. pp. 839-853. ISSN 0048-9697

Chen, Lijuan and Li, Changsheng and Feng, Qi and Wei, Yongping and Zhao, Yan and Zhu, Meng and Deo, Ravinesh C. (2019) Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes. Catena, 172. pp. 581-589. ISSN 0341-8162

View full listing in ePrints

Approved research supervisor in the area of:

  • Applied Mathematics not elsewhere classified ( 010299 )
  • Atmospheric Dynamics ( 040102 )
  • Climatology (excl.Climate Change Processes) ( 040105 )
  • Meteorology ( 040107 )
  • Atmospheric Sciences not elsewhere classified ( 040199 )
  • Natural Hazards ( 040604 )
  • Surfacewater Hydrology ( 040608 )
  • Physical Geography and Environmental Geoscience not elsewhere classified ( 040699 )
  • Earth Sciences not elsewhere classified ( 049999 )
  • Environmental Science and Management not elsewhere classified ( 050299 )
  • Agricultural Systems Analysis and Modelling ( 070105 )
  • Artificial Intelligence and Image Processing not elsewhere classified ( 080199 )
  • Environmental Engineering not elsewhere classified ( 090799 )
  • Energy Generation, Conversion and Storage Engineering ( 091305 )
  • Fluidisation and Fluid Mechanics ( 091504 )


Research topics