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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
ERA Field of Research (FOR)
** Ravinesh has broad interdisciplinary areas of research as follows**

(0103) Numerical and Computational Mathematics
(0502) Environmental Science and Management
(0701) Agriculture, Land and Farm Management
(01) Mathematical Sciences
(08) Information and Computing Sciences
(01) Mathematical Sciences
(05) Environmental Sciences

Specific Sub-Fields of Research

Artificial Intelligence: Health & Energy Informatics (Modelling & Simulation)
Artificial Intelligence: Disaster Risk, Climate, Environment, Agriculture, Hydrology and Water Informatics
Smart Decision Support Systems: Deep Learning, Convolutional and Short- & Long-term Neural Networks
Online (real-time) Integrated Data Transformation Algorithms in Complex Natural Systems
Bayesian Inference, Agent-Based & Probabilistic Models, Impacts, Disaster Risk Mitigation with Decision Systems

_________________________________________________________________________________________________
** Applications from potential PhD, Masters and Honors students are particularly welcome**
_________________________________________________________________________________________________

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** Expression of Interests from Australia Awards Scholarship Applicants 2019 are particularly welcome**
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Professional memberships
American Society for Civil Engineers ASCE (USA)

Elected Senior IEEE (USA)

International Senior Scientist (Chinese Academy of Sciences)

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
** Ravinesh has supervised the following 10 PhD and Masters students, all as the Principal Supervisor [40-80%].

Recently Completed
_____________________
[1] Dr Kavina S Dayal: Application of Statistical and Geospatial Tools for Drought-Risk Assessment”: PhD 2015 – 2017
[2] Dr Thong Nguyen-Huy: Statistical modelling of crop yield based on copula functions and machine learning models”: 2015 – 2018.
[3] Dr Ramendra Prasad: Development of High-precision Hybrid Predictive Models for Hydrological Forecasting”: 2016 – 2018.
[4] Ananta Neupane, “Comparison of Data-driven methods for wind forecasting”, MSCR 2017 – 2018
[5] Mumtaz Ali. Probabilistic and machine learning models of drought and agriculture”, 2016 – 2019 (UNDER REVIEW)

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

[6] MSCN Harshna Goundar, “Modelling photosynthetic-active radiation with data-intelligent models”, 2018
[7] MSCN John Worral, “Artificial Intelligence Applications and Optimisation Techniques for Financial Forecasting”, 2018
[8] MSCN Neelesh Sharma, "Optimization of wind power production with High-Precision Forecasting Models using Geophysical, Statistical, and Evolutionary Modelling Approaches", 2018
[9] MSCN Shobna Prasad, "Optimisation of Wind Power Production", 2018
[10] MSCN Dilki Tharaka Balalla Mudiyanselage, "MARS Models for solar prediction ", 2018

Note: [6 - 10] awarded Masters with Distinction.

** Ravinesh supervises the following (15) PhD and Masters students in both Principal and Associate Supervision Capacity.

As Principal Supervisor
________________________
[1] PhD Sujan Ghimire, Artificial Intelligence for Renewable Energy”, 2016 – 2019. Submission May 2019.
[2] PhD Mohanad AL-Musaylh, "Data Intelligent Models for Electricity Demand": 2016 - 2019.
[3] PhD Elizabeth McCarthy, “Using Intelligent Machine Learning Models”, MSCR / PhD 2015 – 2020
[4] PhD Ekta Sharma, "Air Quality Prediction using Deep Learning, 2018 - 2020
[5] PhD Abul Masrur, "Downscaling global climate models for water security problems". 2019 - 2021.

[6] MSCR Kingsten Okka, "Modelling with copula-statistical models", Australia Awards 2017 - 2019.
[7] MSCR Tobias Kumie, "Wind power modelling in PNG with machine learning", Australia Awards 2019 - 2021.
[8] MSCN Sagthitharan Karalasingham, “Machine Learning for Engineering Problems”, MSCC 2017 – 2018
[9] MSCN Bhuwan Chand, "Heatwave modelling with data intelligent models in Australia", 2018-2019
[10] MSCN Theo Prinsloo, "Machine learning in engineering problems", 2019.
[11] Vince Currie, "Electricity demand prediction", 2019.

As Associate Supervisor
_________________________
[12] PhD David Johnston, “Developing novel automated approaches for biophysical crop modelling”, 2017 – 2019
[13] PhD Hanan Ali Hammoodi Al-Hadeethi, “Novel Approaches for Health Informatics ”, 2017 – 2019
[14] PhD Ghazal Bargshady, "Enhanced Deep Learning Model for Chronic Pain Intensity 2017 - 2019 (ARC project)'
[15] PhD Aldo Taranto. "Stochastic Optimization of Grid Constrained Random Walks". 2019 - 2021.
[16] PhD Cherie O’Sullivan. "Modelling Water Quality in Ungauged Great Barrier Reef Catchments".

** Ravinesh is also involved in supervision of Level 8 Postgraduate Masters Courses
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MAT8180 : Wavelet Transformation and Artificial Neural Network
MAT8190 : Random Forest, Multiple Regressions and Optimisation
CSC8410 : Optimisation Techniques in Artificial Neural Network
CSC8411 : Copula Statistical Models
MSC8001 and 8002 Research Project
_________________________________________________________________________________________________
** Applications from potential PhD, Masters and Honors students are particularly welcome**
_________________________________________________________________________________________________

Teaching experience(Tertiary)
15 Years

Teaching experience(Other)
5 Years

Administrative responsibilities
** Teaching**
Postgraduate Program Coordinator: School of ACES
Examiner & Overall Course Leader ENM 1500 Semester 3 2019
Examiner & Overall Course Leader ENM 1500 Semester 1 2018

** Research**
Associate Editor ASCE Journal of Hydrologic Engineering, USA
Editor Special Issue 'Energies' Q 1 Journal: "Modelling and Simulation of Smart Energy Management Systems"
Editorial Board Member Hydrology Research

** Others**
Leading Supervisor: Advanced Data Analytics: Environmental Modelling and Simulation Group
Principal Supervisor Higher Degree Research
Principal Supervisor Master of Science Research
Supervisor for RedTrain Scholarships
Elected Executive Member: Japan Society for Promotion of Science Alumni Association in Australia

Research most recent
Recent Research Grants & Successful Fellowship Success
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(1). 2018 - 2021: $117,000: Chinese Academy of Science: Northwest Institute of Eco-Environment: Principal Investigator. “Integration & application of water security technology”

(2). 2019 - 2022: $522,000: SOIL CRC Novel sensor technology to measure and map soil nutrients, water and hydraulic characteristics: Associate Investigator.

(3). 2018-2019: $16,250: Advance Queensland-Smithsonian Fellowship Program: project leader with U.S. Smithsonian Tropical Research Institute, Panama & USA

(4). 2018: 7,500: Australia-China Young Scientists Exchange Program (YSEP): emerging leader development visit to Chinese Academy of Sciences, Peking University and Northwest Normal University China.

(5). 2017: $19,247 Japan Society for Promotion of Science (JSPS) International Invitational Fellowship (short-term) - 26% success rate in 2017 round: emerging leader development visit

(6). 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.

(7). 2015: $18,500 Australian Govt. Endeavour Executive Fellowship: transformative leadership program at McGill University Canada

Editor of Research Books
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(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 Research Books - Current
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(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 189 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 127 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 108 times]

* 2018 Paper* 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 and Sustainable Energy Reviews 72, 828-848
[Cited 43 Times]

*2018 Paper* Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon. Applied Energy 217, 422-439
[Cited 20 Times]

** 2018 Paper* Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran. Theoretical and applied climatology 133 (3-4), 1119-1131
[CIted 28 Times]

* 2016 Paper* A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset. Applied Energy 168, 568-593
[Cited 98 times]

*2015 Paper* Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia. Atmospheric Research 153, 512-525
[Cited 93 times]

*2009 Paper* 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 84 times]


Publications in ePrints

Bargshady, Ghazal and Soar, Jeffrey and Zhou, Xujuan and Deo, Ravinesh C. and Whittaker, Frank and Wang, Hua (2019) A joint deep neural network model for pain recognition from face. In: 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019), 23-25 Feb 2019, Singapore.

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

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

Dr Ravinesh Deo is Senior Lecturer (Mathematics), Leading Data Scientist and Associate Editor of ASCE Journal of Hydrologic Engineering. His interdisciplinary interest is in Artificial Intelligence models and Informatics (Health, Energy, Hydrology, Atmospheric Science and Sustainable Agriculture) under FOR Codes (0103) Numerical and Computational Mathematics, (0502) Environmental Science and Management, (0701) Agriculture, Land and Farm Management, (01) Mathematical Sciences and (08) Information and Computing Sciences. Designing expert systems with meta-heuristic algorithms is central to his research interests, including deep learning, convolutional neural and long- short-term memory network. Dr Deo¿s leadership was recognized by many international awards: 2018 Advance Queensland Smithsonian Fellowship, 2018 Australia Young Scientist Exchange Award, 2017 Japan Society for Promotion of Science Fellowship, 2016 Chinese Academy of Science President's International Fellowship and Australian Endeavour Executive Fellowship. Winning ARC-equivalent JSPS Fellowship, Dr Deo was the 2017 ambassador at University of Tokyo, Kyoto University and Kyushu University and completed mid-career leadership training program under the Invitational Fellowship and delivered public lecture, seminars, mentoring and industry-focused talk. Dr Deo served on several committees including as chair of IEEE conference. He was Senior Visiting Scientist at the United States Smithsonian Institution (Panama), Visiting Associate Professor at University of Alcala (Spain), Chinese Academy of Sciences, National University of Singapore and Kyushu University, University of Tokyo, Kyoto University and McGill University (Canada). Dr Deo contributes to professional practice through memberships: Elected Member Institute of Physics, IEEE, Australian Mathematical Society, Australasian Association for Engineering Education, Global Alumni and American Geophysical Union. Dr Deo collaborates with researchers in Japan, Europe, China, US and Canada, delivered over 50 seminars, served as Lead Guest Editor of 'Advances in Meteorology', was Editor of Springer, Elsevier and IGI Global books. In last 5 years Dr Deo¿s papers were cited more than 1,700 times with average 355/year. In immediate 3 years, citations exceeded 1,480 with average of 490 times. With more than 150 publications (largely in Q1 journals), Dr Deo¿s research has been cited over 2,400 times with a H-Index 25 and i-10 Index 51. Dr Deo leads the Advanced Data Analytics Lab Modelling Research Simulation Group, as Principal and Associate Supervisor of more than 15 PhD/Masters HDR students. Dr Deo has supervised more than 9 PhD/Master¿s Thesis/Dissertations, and examined a number of Thesis locally and overseas. Expression of interests from potential higher degree applicants to study in Dr Deo¿s Group are particularly welcome.