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Professor Ravinesh Deo

Professor Ravinesh Deo
Name Ravinesh Deo
Pronoun He/Him/His
Position Professor (Mathematics)
Section School of Mathematics, Physics and Computing
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.

Professor Ravinesh Deo leads UniSQ's Advanced Data Analytics Research Lab and is listed in Top 1% of world scientists as a Highly Cited Researcher by Clarivate/Institute for Scientific Information (ISI)™ Web of Science Citation Index. His credentials have been recognized by Elsevier and Stanford University as among the top 2% of scientists worldwide. As reflected in the publication of frequently cited papers, Prof Deo is recognized as one of the most influential scholars in Australia and internationally. In addition to Artificial Intelligence (AI) and Machine Learning (ML), he specializes in data engineering, deep learning, evolutionary and nature-inspired computational intelligence, optimisation methods, and big data in renewable energy and power engineering, radio communications systems, defence and national intelligence, the Internet of Space Things, probability modeling, risk analytics, and engineering. With a PhD in Turbulence and Energy (Signal Processing) and a BSc in Physics & Mathematics awarded with a Gold Medal, Professor Deo's research focuses on explainable and interpretable artificial intelligence and machine learning, which are applied widely in the fields of electricity and power systems, renewable energy, radio communications, and engineering. As a result of his work, he was awarded the Excellence in Research Award, Ronel Erwee Memorial Award for Excellence in Postgraduate Supervision, Faculty Research Excellence, University & School Publication Awards, and the HES Faculty Teaching Excellence Commendation. Educated in Fiji (at Labasa College, one of the highest performing schools in Fiji), Prof. Deo graduated as Senior Secondary School National Dux. He holds a PhD from Adelaide University, a Master of Science from the University of Canterbury, and a Bachelor of Science from the University of the South Pacific. He is a Program Director and a Senior Member of the IEEE. Professor Deo is an Associate Editor for Engineering Applications of Artificial Intelligence, IEEE Access, Stochastic Environmental Research and Risk Assessment, and Remote Sensing. Aside from providing academic mentorship, Prof Deo has strong connections with Australian businesses, such as CS Energy, Australian Bureau of Statistics, Queensland Government, Defence Department, CSIRO, and Senetas. In addition, Prof Deo has been awarded competitive fellowships, including the Advance Queensland Smithsonian Fellowship, the Young Scientist Exchange, the Japan Society for Promotion of Sciences (JSPS), the Australia-India Strategic Fellowship, and the Australia Endeavour Fellowship. In addition to reviewing ARC, NISRG, and other competitive funding, Prof. Deo has been an invited expert on editorial boards for Elsevier, Springer, and IGI, and has examined more than 50 doctoral and master's theses internationally. Prof. Deo has supervised more than 30 PhD and Master students (16 PhDs), with 7 PhD students receiving awards for excellence in doctoral research. His PhD and Masters students have received funding from the Australian Government DFAT totaling $1.4 million. Prof Deo secured over A$16.1 Million collaborative projects from many sources including a recent Office of National Intelligence and Department of Defence funding (~$500,000), Queensland Government, ARC (DP & LP), CRC and other Federal Departments. Throughout his career, he has co-authored over 270 publications with more than 395 scientists both domestically and internationally. As a result of his publications being cited over 11,700 times, he has a h index of 61 (Scopus 55) and a SciVal Field-Weighted Citation Index 3.0 which places him among the top cited researchers globally, and specifically in countries such as Japan, Spain, the United States, the United Kingdom, India, and Australia.


  • 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 )
  • Environmental Management ( 410400 )
  • Artificial Intelligence ( 460200 )
  • Energy Generation ( 401703 )
  • Mechanical Engineering ( 401700 )

Prof Deo’s expertise is Artificial Intelligence (AI) and Machine Learning (ML) including knowledge and data engineering, deep learning, evolutionary and nature-inspired computational intelligence, optimisation methods, big data analytics in renewable energy and power systems engineering, radio communication systems, Defence and National Intelligence, Internet of Space Things, probabilistic modelling, risk analytics, environmental and engineering domains. Prof Deo has been awarded more than $16.1 million in competitive research grants in cross-disciplinary projects.


National Tertiary Education Union (NTEU) - 2020 to present

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)


Defence Science & Technology Group (DSTG) Australian Government Collaborator

Australian Bureau of Statistics (ABS)

Office of National Intelligence

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

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

Senior Member Grade of IEEE Organisation

CS Energy - Research Collaboration

Senetas - Research Collaboration

Energy Queensland


  • Institute for Advanced Engineering and Space Sciences (IAESS)

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


18 Years


0 Years


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