Assoc Prof Ravinesh Deo

Fields of Research (FoR)

• Environmental Science and Management not elsewhere classified ( 050299 )
  

• Artificial Intelligence and Image Processing not elsewhere classified ( 080199 )
  

• Neural, Evolutionary and Fuzzy Computation ( 080108 )
  

• Pattern Recognition and Data Mining ( 080109 )
  

• Atmospheric Radiation ( 040103 )
  

• Numerical and Computational Mathematics ( 010300 )
  

• Cloud Physics ( 040106 )
  

• Simulation and Modelling ( 080110 )
  

• Health Information Systems (incl. Surveillance) ( 111711 )
  

• Expert Systems ( 080105 )
  

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

0801 Artificial Intelligence and Image Processing
080109 Pattern Recognition and Data Mining
111711 Health Information Systems (incl. Surveillance)
0103 Numerical and Computational Mathematics
0502 Environmental Science and Management
040103 Atmospheric Radiation

Specific Interests:

Environmental, Health & Energy Informatics (Modelling & Simulation)
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

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** Applications from potential PhD and Masters students are particularly welcome**

** Expression of Interests from Australia Awards Scholarship Applicants 2020 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
Australian Bureau of Statistics (ABS) - As USQ Industry PhD Internship Supervisor, 2019

Confirm IT (Queensland Govt.): Office of Chief Adviser Procurement (OCA-P) - As USQ Industry PhD Internship Supervisor, 2019

Chinese Academy of Science (Chinese Presidential International Fellow 2016 - present

Affiliate Member (Associate Editor American Society for Civil Engineers ASCE Journal of Hydrologic Engineering 2018 - present

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

Editorial Board Member for: Hydrology Research 2017 - present

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
Completed Higher Degree by Research Supervision
** Associate Professor Ravinesh has supervised 16 PhD and Masters projects all as Principal Supervisor [40-80%].

Recent Completions
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[1] Dr Kavina S Dayal: Statistical and Geospatial Tools for Drought-Risk
[2] Dr Thong Nguyen-Huy: Statistical models of crop yield based on copula functions
[3] Dr Ramendra Prasad: High-precision Hybrid Predictive Models for Hydrological Forecasting
[4] Ananta Neupane: Comparison of Data-driven methods for wind forecasting
[5] Dr Mumtaz Ali. Probabilistic and machine learning models of drought
[6] Dr Sujan Ghimire: Artificial Intelligence for Renewable Energy Utilisation
[7] Kingsten Okka: Forecasting Rainfall with copula models. UNDER EXAMINATION

Note:
- Dr Thong Nguyen-Huy awarded USQ Excellence in Doctoral Research
- Dr Mumtaz Ali awarded USQ Excellence in Doctoral Research
- Dr Sujan Ghimire awarded USQ Excellence in Doctoral Research

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

Note:
- Students [7 - 15] were awarded the Masters degrees by Distinction.

** Associate Professor Ravinesh supervises 20 PhD and Masters students in both Principal and Associate Supervision Capacity.

As Principal Supervisor
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[1] PhD Mohanad AL-Musaylh: 2016 - 02/2020
[2] PhD Elizabeth McCarthy: 2015 – 06/2021
[3] PhD Ekta Sharma: 2018 - 06/2021
[4] PhD Abul Masrur: 2019 - 2021
[5] PhD Leo Kris Palao: 2019 - 2021
[6] PhD Lakmini Warnakulasooriya Mudiyanselage: 2020 - 2022
[7] PhD Ananta Neupane: 2020 - 2022
[8] PhD S Karalasingham: 2020 - 2022
[9] MSCR Mohammad Moishin, Australia Awards Fiji: 2020 - 2021
[10] MSCR Anh Huynh: 07/2019 - 11/2020
[11] MSCR Tobias Kumie: 2019 - 2020

As Associate Supervisor
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[12] PhD David Johnston: 2017 – 2020
[13] PhD Hanan Ali Hammoodi Al-Hadeethi: 2017 – 2020
[14] PhD Ghazal Bargshady: 2017 - 06/2020 (ARC Project)
[15] PhD Aldo Taranto: 2019 - 2021
[16] PhD Cherie O’Sullivan: 2019 - 2021
[17] PhD Mungandi Nasitwitwi (part-time): 2019 - 2024
[18] PhD Rosa Prahal: 2019 - 2021
[19] PhD Allen Tsai: 2020 - 2022
[20] PhD Xavier Murray: 2020 - 2022

As Sole Supervisor
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[21] MSCN Simon Riley: 2019 - 2020
[22] MSCN Brian Manny, Australia Awards PNG: 2020 - 2022
[23] MSCN Chris Davey: 2020
[24] MSCN Samuel Baillie: 2020

** Associate Professor Ravinesh teaches Masters Courses, Research Methods and Research Dissertations.

** Applications from PhD and Masters students are particularly welcome**
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Teaching experience(Tertiary)
15 Years

Teaching experience(Other)
5 Years

Administrative responsibilities
Administrative Responsibility (Teaching & Learning)
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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
** ENM1500: Semester 1 2018
** ENM1500: Semester 3 2019
** ENM1500: Semester 1 2020

Postgraduate Thesis Examiner Appointment
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** The University of Fiji
** Pacific Adventist University PNG
** The University of the South Pacific
** University of Southern Queensland

Administrative Responsibility (Research)
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Editorial Boards
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Associate Editor ASCE Journal of Hydrologic Engineering ISSN 1084-0699, 2018 – present
Editor (SI): Energies (Open Access) ISSN 1996-1073
Co-Editor (SI): Remote Sensing (Open Access) ISSN 2072-4292
Co-Editor: IGI Global Book Predictive Models ISBN13: 9781522547662
Co-Editor: Springer Book Big Data ISBN-13: 978-9811341625
Co-Editor: Elsevier Book Probabilistic Models ISBN: 978-0-12-816514-0
Editor: Springer Book Disaster Mitigation (Upcoming in 2020)
Editor: Elsevier Book Energy Management (Upcoming in 2020)
Co-Editor: Elsevier Book Water Engineering & Mathematic Methods (Upcoming in 2020)

Invited Grant Reviewer
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Netherlands Organisation for Scientific Research
Science Fund of the Republic of Serbia
Swiss National Science Foundation
National Science Centre Poland
Australian Research Council

Other Service Responsibility
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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
Principal Supervisor Higher Degree Research
Supervisor for RedTrain Scholarships

Research most recent
Competitive International Fellowship Programs
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2020 Australia India Strategic Research Fellowship with National Institute of Hydrology, Government of India

2019 Advance Queensland Smithsonian Fellowship with U.S. Smithsonian Tropical Research Institute, Panama

2018 Australia-China Young Scientist Exchange Program with Chinese Academy of Science, Peking and Northwest University

2017 Japan Society for Promotion of Science JSPS International Fellowship - 26% success rate

2016 Chinese Academy of Science Presidential Fellowship with Northwest Institute of Eco-Environment and Resources

2015 Australian Endeavour Executive Fellowship with McGill University, Canada

Recent Research Grants
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2020 Australian Academy of Science

2018 - 2021 Chinese Academy of Science

2019 - 2022: SOIL CRC: Associate Investigator:

2019: Big Data for Multipurpose Surveys Industry Grant through AMSI PhD Internship

2019: Machine Learning Driven Automation of Government Transaction, Industry Grant

Recently Published Research Books
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** Handbook of probabilistic models. Elsevier (Butterworth-Heinemann), Oxford, United Kingdom. ISBN 978-0-12-816514-0, Published in 2019

** Handbook of research on predictive modeling and optimization methods in science and engineering. IGI Publishing (IGI Global), United States. ISBN 9781522547662, Published in 2019

** Big data in engineering applications. Studies in Big Data. Springer, Singapore. ISBN 978-981-10-8476-8, Published in 2017

Editor of Current Research Books
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Deo RC., Samui P, Roy S S (Eds.) (2020 to appear). Energy Management Systems with Data Intelligence: Theory and Practice for Modern Scientists and Engineers. New York, NY: Elsevier. Publication Date March 2020

Deo RC., Samui P, Kisi O, Yaseen ZM (Eds.) (2020 to appear). Intelligent data analytics for natural hard risk mitigation: Theory and Practice. Springer Nature. Publication Date February 2020

Research most notable
Career Summary
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Associate Professor Deo recently published a paper in Nature Sustainability journal with an international team of authors.
"Domino effect of climate change over two millennia in ancient China’s Hexi Corridor. 2 (10), 957-961"

Associate Professor Deo has published over 185 articles. This includes with > 140 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.

Associate Professor Deo's Google Scholar H-index is 35. This is reflected by more than 3,900 citations and places him in top rank of his peers in field of artificial intelligence incl. environmental science & management, information sciences and energy/agricultural applications.

Associate Professor Deo was recipient of 6 research fellowships awarded to top 5% of all applicants:
(1) United States-Queensland Smithsonian Research Fellowship, (2) Australia-China Young Scientist Award, (3) Japan Society for Promotion of Science Fellowship, (4) Chinese Academy of Science Presidential Fellowship, (5) Endeavour Fellowship, (6) Australia India Strategic Research Fellowship

Associate Professor Deo was also the winner of four Publication Excellence Award at USQ between 2016 and 2019.

Associate Professor Deo's excellence in supervision is reflected by 3 PhD Publication Awards to his PhD students.

Associate Professor Deo's supervision quality is reflected by 3 Excellence in Doctoral Research his PhD students.

Associate Professor Deo's supervision quality is also reflected by 7 Masters Dissertations awarded with High Distinction.

5 Top Cited Papers
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* [Cited 205 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 137 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 129 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 126 times] - Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia. Atmospheric Research 153, 512-525

*[Cited 116 times] - Modeling the impact of historical land cover change on Australia's regional climate. (2007). Geophysical Research Letters 34 (22).

Publications in ePrints

Sharma, Ekta and Deo, Ravinesh CORCID: https://orcid.org/0000-0002-2290-6749 and Prasad, Ramendra and Parisi, Alfio V. (2020) A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms. Science of the Total Environment, 709 (Article 135934). ISSN 0048-9697

Yang, Linshan and Feng, Qi and Adamowski, Jan F. and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Yin, Zhenlaing and Wen, Xiaohu and Tang, Xia and Wu, Min (2020) Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China. Science of the Total Environment, 713 (Article 136587). ISSN 0048-9697

Ghorbani, Mohammad Ali and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Kim, Sungwon and Kashani, Mahasa Hasanpour and Karimi, Vahid and Izadkhah, Maryam (2020) Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia. Soft Computing. ISSN 1432-7643

Dayal, Kavina S. and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Apan, Armando A. (2020) Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index. In: Handbook of probabilistic models. Elsevier (Butterworth-Heinemann), Oxford, United Kingdom, pp. 141-178. ISBN 978-0-12-816514-0

Bargshady, Ghazal and Zhou, Xujuan and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Soar, JefferyORCID: https://orcid.org/0000-0002-4964-7556 and Whittaker, Frank and Wang, Hua (2020) Enhanced deep learning algorithm development to detect pain intensity from facial expression images. Expert Systems with Applications, 149 (Article 113305). ISSN 0957-4174

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

• Advanced Statistical and Computational Framework for Solar Energy Modelling with Satellite and Geophysical Data: Application for Renewable Energy Prospectivity Mapping with Machine Learning
  

• Precision Agriculture with Machine Learning: Influence of Soil Fertility on Coffee Yield
  

• Future Climate Projection: Downscaling Global Climate Model with Artificial Intelligence for Agriculture and Renewable Energy Applications
  

• Energy Demand and Price Forecasting with Data Intelligent Models for Consumer Energy Predictability
  

• Modelling and Optimisation of Wind Power with High-precision Models using Geophysical, Statistical and Evolutionary Modelling Approaches
  

• Data-driven Predictive Analytic Models for Rainfall, Temperature or Drought Simulation with Hybrid Machine Learning-wavelet Transformation-bootstrapping Algorithms
  

• New Frameworks for Drought Risk Modelling and Drought Assessment Tools for Sustainable Agriculture and Farming Systems Applications
  

• Predictive Analytics with Big Data: Heatwave and Drought Modelling with Nature-Inspired Machine Learning
  

• Real-time Flood Early Warning: Copula-Statistical Joint Models and Machine Learning System Design
  

• Fuzzy-Neural Network Based Flow Prediction and Optimized Operation For River Murray System
  

• Artificial Intelligence Modelling of Harmful Solar Ultraviolet Index for Health-risk Mitigation
  

• Artificial Intelligence Applications and Optimisation Techniques for Financial or Stock market Forecasting
  

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.