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Professor Ravinesh Deo

Professor Ravinesh Deo
Name Ravinesh Deo
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://create.usq.edu.au/artificial-intelligence-applications-laboratory/
The views expressed on staff homepages may not reflect the views of the University.

Biography

Prof Ravinesh Deo's research interests are Artificial Intelligence & applications to health, energy, communications, national intelligence & defence and engineering domains. His field of research (FOR) code is FOR – 4611 (Machine Learning), 4602 (Artificial Intelligence) and 4601 (Applied Computing).

Prof Deo is a Highly Cited Researcher ranked in Top 1% by Clarivate Analytics and Web of Science (2021) and Top 2% of World Scientists (2021-2023) by Stanford University, USA). Prof Deo was educated and received a Senior School National Dux Award at Labasa College (Fiji) before completing a PhD in Signal Processing from The University of Adelaide, Australia. He is currently the Leader of UniSQ's Advanced Data Analytics Research Laboratory (57+ researchers and higher degree students) and supervised over 40 PhD and Master's Degrees with over fifteen students receiving Doctoral Excellence and Masters Excellence Awards or Thesis Distinction Awards.

Prof Deo published over 300 scholarly papers, with 180 papers (89.6%) in Q1 journals in energy, artificial intelligence and machine learning, and co-authored with over 425 scientists worldwide, earning him a Field-Weighted Citation Index of 3.0+. As a leading researcher in renewable energy, artificial intelligence, intelligence, defence, and machine learning, Prof. Deo has established a productive international research program. This includes publishing with 190+ academic and research institutions across five continents (North America, Europe, Africa, Asia, Australia; SciVal, 9.11.2022). In addition to grants from National Projects (Spain), Iberdrola, and the European Union Horizon 20, he received grants from the Department of Defence and Office of National Intelligence in defence and intelligence areas and the Queensland government in AI modelling areas. Furthermore, he received six competitive research fellowships: the Advance Queensland Smithsonian Fellowship, the Young Scientist Exchange Award, the JSPS Fellowship, the Australia-India Strategic Fellowship, and Endeavour Fellowship. He has worked with 25+ industry partners applying AI to provide technical and scientific solutions to industries.

Prof Deo is an editor for IEEE Access, Engineering Applications of Artificial Intelligence, and Stochastic Environmental Research and Risk Assessment journals. Prof Deo has won the Outstanding School Researcher Award for 2023/2022, the Excellence in Research Award for 2021, and the Ronel Erwee Memorial Award for Excellence in Postgraduate Research Supervision, along with publication excellence awards, teaching commendations, and Elsevier's Highly Cited Paper Award. He mentors early- and mid-career researchers at UniSQ's Advanced Data Analytics Research Lab within the renewable energy, artificial intelligence, defence and engineering fields.

Research Career


  • 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 )
  • Artificial Intelligence ( 460200 )
  • Fuzzy Computation ( 460204 )
  • Evolutionary Computation ( 460203 )
  • Machine Learning ( 461100 )
  • Applications In Health ( 460102 )
  • Adversarial Machine Learning ( 461101 )
  • Deep Learning ( 461103 )
  • Applications In Physical Sciences ( 460104 )
  • Artificial Life And Complex Adaptive Systems ( 460201 )
  • Applied Computing ( 460100 )
  • Neural Networks ( 461104 )
  • Modelling And Simulation ( 460207 )

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

Editor of: Engineering Applications of Artificial Intelligence - Elsevier

Editor of: IEEE Access

Editor: Stochastic Environmental Research and Risk Assessment

Editorial Board Member & Associate Editor - Energies

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)
  • Centre for Applied Climate Sciences (CACS)

Teaching


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

Supervision