Prof Ravinesh Deo
Name | Prof Ravinesh Deo |
---|---|
Email Address | ravinesh.deo@unisq.edu.au |
Job Title | Professor (Mathematics) |
Qualifications | BSc South Pacific, GCertTT&L USQ, MSc(Hons) Canterbury, PhD Adelaide |
Department | School of Mathematics, Physics and Computing |
Affiliations | Institute for Advanced Engineering and Space Sciences |
Centre for Applied Climate Sciences | |
Centre for Health Research | |
ORCID | https://orcid.org/0000-0002-2290-6749 |
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Biography
Prof. Ravinesh Deo's research interests include artificial intelligence and its applications in health, energy, wireless communication (national intelligence & defence), environment and engineering. His primary field of research (FOR) code is 4611 (Machine Learning), 4602 (Artificial Intelligence) and 4601 (Applied Computing). He is ranked in the Top 1% of researchers by Clarivate Analytics/Web of Science (2021) and in the Top 2% of World Scientists by Stanford University, USA (2021-2023).
Prof Deo completed senior school education at Labasa College (Fiji) and received a PhD in Signal Processing from The University of Adelaide, Australia. Currently, he leads UniSQ's Advanced Data Analytics Research Laboratory (57+ researchers and graduate students), having supervised more than 40 PhD and Master's degrees with more than fifteen students receiving Doctoral Excellence Awards, Masters Excellence Awards, or Thesis Distinction Awards. He has published over 300 scholarly papers, including 180 papers (89.6%) in Q1 journals as well as co-authored research with over 425 scientists worldwide, earning him a Field-Weighted Citation Index of 3.0+ and a productive international research program publishing with 190+ institutions across five continents (North America, Europe, Africa, Asia, Australia; SciVal, 2024).
Aside from grants from the Spanish National Projects, Iberdrola and the European Union Horizon 20, he received grants from the Department of Defence, Office of National Intelligence and the Queensland government and six research fellowships (Advance Queensland Smithsonian Fellowship, Young Scientist Exchange Award, JSPS Fellowship, Australia-India Strategic Fellowship, Endeavour Fellowship). These have enriched his research in artificial intelligence and its applications.
Prof Deo is an Editor for IEEE Access, Engineering Applications of Artificial Intelligence, and Stochastic Environmental Research and Risk Assessment. He 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 and Elsevier's Highly Cited Paper Award. He mentors early- and mid-career researchers at UniSQ's Advanced Data Analytics Research Lab in renewable energy, artificial intelligence, defence and engineering fields.
Employment
Position | Organisation | From | To |
---|---|---|---|
Professor of Mathematics & Researcher in Artificial Intelligence | University of Southern Queensland | 2021 | 2023 |
Associate Professor of Mathematics & Researcher in Artificial Intelligence | University of Southern Queensland | 2020 | 2020 |
Senior Lecturer in Mathematics | University of Southern Queensland | 2016 | 2019 |
Lecturer in Mathematics | University of Southern Queensland | 2010 | 2015 |
Principal Research Scientist | Queensland Government | 2009 | 2010 |
Postdoctoral Research Fellow | The University of Southern Queensland | 2006 | 2009 |
Associate Lecturer in Physics | The University of the South Pacific Fiji | 2005 | 2006 |
Expertise
Professor Deo has received competitive research grants in the areas of Health, Engineering, Renewable Energy, Communication, Defence and National Intelligence, Environmental and Engineering. Among his key areas of expertise are Artificial Intelligence and Machine Learning, Knowledge and Data Engineering, Deep Learning, Evolutionary Computational Intelligence, and Optimisation Methods. Professor Deo's extensive research in various fields has greatly contributed to advancements in several areas. His work in health has led to improved diagnosis and treatment methods, while his research in engineering and renewable energy has contributed to sustainable and innovative solutions. Furthermore, his expertise in communication and defence has helped advance technological advancements in these areas. Thus, Professor Deo's research has had a significant impact in fields such as health, engineering, renewable energy, communication, defence, and national intelligence.
Teaching
Professor Deo is a dedicated supervisor of over 15 PhDs (Principal & Associate, Master of Research and Master of Science (Principal & Associate Supervisor). He also teaches engineering mathematics, research methods and thesis development in MSC 6001 & MSC 6002 courses.
Fields of Research
- 460102. Applications in health
- 460104. Applications in physical sciences
- 460201. Artificial life and complex adaptive systems
- 460203. Evolutionary computation
- 460204. Fuzzy computation
- 460207. Modelling and simulation
- 461101. Adversarial machine learning
- 461103. Deep learning
- 461104. Neural networks
Professional Membership
Professional Membership | Year |
---|---|
IEEE - Elevated to a Senior Member | |
National Tertiary Education Union | |
Elsevier Editorial Board | |
Springer Editorial Board |
Supervision Interests
Artificial Intelligence and Machine Learning Applications for Aviation and Energy Industries
Current Supervisions
Research Title | Supervisor Type | Level of Study | Commenced |
---|---|---|---|
Cotutelle PhD Program (International Partnership, UniSQ-Universidad de Alcala) - César PELÁEZ RODRÍGUEZ | Principal Supervisor | Doctoral | 2023 |
Cotutelle PhD Program (International Partnership, UniSQ-Federal University of São Paulo) - Andréia Seixas Leal | Principal Supervisor | Doctoral | 2024 |
Application of Artificial Intelligence Techniques for Neurodevelopmental Disorders in Children Using Physiological Signals | Principal Supervisor | Doctoral | 2024 |
AI-enabled Early Detection Tools to Identify Student's Academic Progress and Decisions to Initiate Early Intervention - a review of higher education settings | Principal Supervisor | Doctoral | 2024 |
Identification and characterization of novel resistance genes for wheat stripe rust from Watkins¿ landrace collection | Associate Supervisor | Doctoral | 2024 |
Machine learning in predictive maintenance with IoT sensors data towards Intelligent Systems in Aviation 4.0 Industry | Principal Supervisor | Doctoral | 2024 |
Joint Assimilation of RS Satellite derived Leaf area index and soil moisture into DSSAT-CSM for cotton growth monitoring and yield prediction | Associate Supervisor | Doctoral | 2023 |
Investigate the methods for fast incremental learning of machine learning models for misuse and anomaly-based intrusion detection in the cyber-attack domain. | Associate Supervisor | Doctoral | 2023 |
Automated language detection model using artificial intelligence techniques with EEG signals | Principal Supervisor | Doctoral | 2023 |
Explainable-AI driven deep learning modelling of climate change characteristics | Associate Supervisor | Masters | 2023 |
An Efficient Automated Tool to Characterise Asthma using cough sound signals | Principal Supervisor | Doctoral | 2022 |
Deep learning assisted ultrasensitive SiC sensors for physical monitoring | Associate Supervisor | Doctoral | 2022 |
Predicting Australia's Sea Level Rise and its Impacts with Oceanographic Data-Driven Insights Using Artificial Intelligence. | Associate Supervisor | Doctoral | 2022 |
Impacts of the pandemic on expectations of current and future international students in the Australian tertiary education sector | Associate Supervisor | Masters | 2022 |
Gaps in, and limitations of existing climate adaptation policies in Fiji and barriers to further changes | Principal Supervisor | Masters | 2022 |
Automated accurate retinal health screening system | Principal Supervisor | Doctoral | 2022 |
Predicting erythemally-effective solar ultraviolet irradiation under attenuation factors and cloudy variation using explainable AI (XAI) and physical modelling method | Principal Supervisor | Doctoral | 2022 |
Epileptic Seizure Prediction with Heart Rate Variability and ECG Datasets | Principal Supervisor | Doctoral | 2022 |
AI-enabled enrolment/application process through an integrated platform | Associate Supervisor | Doctoral | 2021 |
Machine learning and artificial intelligence: Applications in government support GIS | Associate Supervisor | Doctoral | 2020 |
Sustainable energy futures: Modelling energy demand using global climate models and developing interpretable models with Bayesian approaches | Principal Supervisor | Doctoral | 2020 |
Hybrid Deep Learning Artificial Intelligent Models for wind speed forecasting in wind-rich regions in Australia | Associate Supervisor | Doctoral | 2020 |
VEGETATION DYNAMICS AND CLIMATE CHANGE IMPACTS IN ZAMBIAS SAVANNAS: ANALYSIS USING GEOSPATIAL TECHNIQUES AND CLIMATE MODELLING APPROACHES | Associate Supervisor | Doctoral | 2019 |
Completed Supervisions
Research Title | Supervisor Type | Level of Study | Completed |
---|---|---|---|
Artificial Intelligence Methods for Prediction of Atmospheric Visibility and Air Quality to Support Aviation and Health Sectors | Principal Supervisor | Masters | 2024 |
Advancing Stochastic Wind Speed Forecasting Methods with Novel Hybrid Deep Learning Techniques | Principal Supervisor | Doctoral | 2024 |
Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands | Principal Supervisor | Masters | 2024 |
Applied Deep Learning for Artificial Intelligence-enabled Wireless Communication | Principal Supervisor | Doctoral | 2024 |
Solar Ultraviolet Radiation Predictions Under Cloud Cover Effects with Artificial Intelligence Approaches | Principal Supervisor | Doctoral | 2023 |
Artificial Intelligence informed Simulation of Dissolved Inorganic Nitrogen from Ungauged Catchments to the Great Barrier Reef | Principal Supervisor | Doctoral | 2023 |
Evaporation and Soil Moisture Prediction with Artificial Intelligence and Deep Learning Methods | Principal Supervisor | Doctoral | 2023 |
Coloured Image Classification with Quantum Machine Learning Algorithms for Intelligent Transportation Systems | Associate Supervisor | Doctoral | 2023 |
USING MACHINE LEARNING BASED EMULATORS FOR SENSITIVITY ANALYSIS OF PROCESS-DRIVEN BIOPHYSICAL MODELS | Associate Supervisor | Doctoral | 2022 |
ARTIFICIAL INTELLIGENCE AND CLEAN AIR:DEVELOPMENT OF NOVEL ALGORITHMS WITH MACHINE LEARNING AND DEEP LEARNING | Principal Supervisor | Doctoral | 2022 |
Development of Deep Learning Predictive Models for Hydrological Predictions | Principal Supervisor | Doctoral | 2022 |
NUCLEAR RIBOSOMAL DNA SECONDARY STRUCTURES AND STATISTICAL APPROACH FOR THE PHYLOGENY OF AMPELOMYCES | Associate Supervisor | Doctoral | 2022 |
An integrated systems model for sustainable agricultural development under changing climate: A case study in a coffee production system in Vietnam | Associate Supervisor | Doctoral | 2021 |
Development of flood risk monitoring and forecasting system with artificial intelligence predictive models for community risk management in Fiji | Principal Supervisor | Masters | 2021 |
DEVELOPING ARTIFICIAL INTELLIGENCE MODELS FOR CLASSIFICATION OF BRAIN DISORDER DISEASES BASED ON STATISTICAL TECHNIQUES | Associate Supervisor | Doctoral | 2021 |
DEVELOPMENT AND EVALUATION OF DATA-DRIVEN MODELSFOR ELECTRICITY DEMAND FORECASTING IN QUEENSLAND,AUSTRALIA | Principal Supervisor | Masters | 2020 |
Development of deep learning predictive models for short-term solar radiation forecasting: Case study in Vietnam | Principal Supervisor | Masters | 2020 |
Development of data intelligent models for electricity demand forecasting: Case studies in the state of Queensland, Australia | Principal Supervisor | Doctoral | 2020 |
Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images | Associate Supervisor | Doctoral | 2020 |
Forecasting seasonal rainfall with copula modelling approach for agricultural stations in Papua New Guinea | Principal Supervisor | Masters | 2019 |
Predictive modelling of global solar radiation with artificial intelligence approaches using MODIS satellites and atmospheric reanalysis data for Australia | Principal Supervisor | Doctoral | 2019 |
Probabilistic and artificial intelligence modelling of drought and agricultural crop yield in Pakistan | Principal Supervisor | Doctoral | 2019 |
Copula-based statistical modelling of synoptic-scale climate indices for quantifying and managing agricultural risks in Australia | Principal Supervisor | Doctoral | 2018 |
Streamflow and soil moisture forecasting with hybrid data intelligent machine learning approaches: Case studies in the Australian Murray-Darling Basin | Principal Supervisor | Doctoral | 2018 |
Development of statistical and geospatial-based framework for drought-risk assessment | Principal Supervisor | Doctoral | 2018 |
An wavelet-coupled artificial neural network-bootstrap model for environmental applications (Solar energy forecasting) | Principal Supervisor | Masters | 2018 |
Project title | Details | Year |
---|---|---|
Department of Defence | Software Defined Radios: Over-the-air Trainable Wave-forms. $72,452. Prof R. Deo, Christopher Davey & Defence Lead. 2021-2024. | 2024 |
Asia Pacific Network for Global Change | Developing a new integrated physical-statistical-financial approach for regional flood risk reduction under climate change. $129,000. Dr T. Nguyen, Prof R. Deo, Prof. S. Mushtaq. 2023-2024. | 2023 |
CSIRO Environment | Forecasting Water Quality in Rivers using Machine Learning. $26,700. Prof R. Deo, Dr Klaus Joehnk & Leyde Briceno Medina. 2023-2025. | 2023 |
Office of National Intelligence, Australian Government | Internet of Space Things - Power-efficient Coded-Modulation Schemes for Low Earth Orbit (LEO) Satellite Communication. $349,962. Dr E. Sharma & Prof R. Deo. 2022-2024. | 2022 |
Cogninet AI Industry Research Program | Artificial Intelligence for Health & Education Technologies: Asthma & Neurological Disorder Prediction. $256,000. Prof R Acharya, Prof R Deo, Prof J Soar, Prof P Barua. 2022-2025. | 2022 |
Department of Defence | $30,000. Artificial Intelligence for Decision-Making (AI4DM). (Prof Ravinesh Deo, & Christopher Davey). 2022. | 2022 |
CSIRO Data 61 | Quantum Computing and Quantum Machine Learning. $26,700. Prof R Deo, Dr Shahab Abdulla, Dr Farina Riyaz. 2021–2023. | 2021 |
Senetas Corporation | AI & ML for Signal Processing - Australian Postgraduate Research Internships. $26,000. Prof R Deo, & Sagthitharan Karalasingham (PhD Intern). 2021. | 2021 |
CS Energy | Bias Correction in Weather Models for Solar Generation - Australian Postgraduate Research Internships. $26,000. Prof R Deo & Dr Abul Masrur (PhD Intern). | 2021 |
Department of Defence | AI-enabled Communications. $90,000. Prof R Deo, Christopher Davey (PhD researcher) & Defence Lead. | 2021 |
Australia India Strategic Research Fund | Enhancing climate change adaptation processes for farmers and agribusiness - Australia India Strategic Research Fund. $989,979. Prof R Stone, Prof S. Mushtaq; T. Marcussen; Dr J. Kath; Dr L. Kouadio; Dr C. Pudmenzky; Prof R Deo. 2020 – 2023. Round 12 with Tamil Nadu Agricultural University, India. | 2020 |
Department of Defence | Efficient Algorithms for AI-enabled Communication- Australian Postgraduate Research Internships. $26,000. Prof R Deo, Dr E Sharma (PhD researcher) & Defence Lead. | 2020 |
SOIL CRC. High Performance Soils | Novel sensor technology to measure and map soil nutrients, water and hydraulic characteristics- SOIL CRC. High Performance Soils. $599,938 (Total = $1,701,494). Dr C. Lobsey, J. Albion, Prof J. Bennett, Prof Hedley C, Prof Roudier P, Prof R Deo., Y Zhu, D., D West, L Bella, M. Sefton, R Mila. | 2019 |
Australian Bureau of Statistics | Big Data for Multipurpose Surveys - Australian Postgraduate Research Internships. $26,000. Prof R Deo & Mohanad Al-Musaylh. | 2019 |
Queensland Government | Machine Learning Automation of Whole of Government Transaction Automation - Australian Postgraduate Research Internships. $21,500. Prof R Deo & Dr Andrei 2019-2022. | 2019 |
Chinese Academy of Sciences | Integration of Water Security in Northeast Area. $117,500. Prof Ravinesh Deo, Dr Abul Masrur, Prof Feng Qi. | 2019 |
Advance Queensland USA Smithsonian Research Fellowship | Attributing land use/land-cover change influence on hydrological-ecosystem interactions with artificial intelligence. $16,250. Prof R Deo & Dr J. Hall (STRI, Panama). | 2017 |
Date | Name | Awarding organisation | Underpinning research |
---|---|---|---|
2023 | Associate Editor | Engineering Applications of Artificial Intelligence | |
2021 | IEEE Access | The Institute of Electrical and Electronics Engineers, USA | |
2018 | Recipient of: Advance Queensland Smithsonian Research Fellowship | Queensland Government | |
2017 | Recipient of: JSPS Fellowship (Japan Society for Promotion of Science International Invitational Research Fellowship) | Japan Society for Promotion of Science/The University of Tokyo/Kyoto University/Kyushu University | |
2015 | Endeavour Executive Fellowship | Australian Government | |
2021 | Highly Cited Researcher (Top 1%) | Clarivate Analytics Web of Science | |
2021 | Top 2% of World Scientist | Stanford University, USA |