Fields of Research (FoR)

• Oceanography not elsewhere classified ( 040599 )
  
• Applied Mathematics not elsewhere classified ( 010299 )
  
• Numerical and Computational Mathematics not elsewhere classified ( 010399 )
  
• Numerical And Computational Mathematics not elsewhere classified ( 490399 )
  
• Oceanography not elsewhere classified ( 370899 )
  
• Applied Mathematics not elsewhere classified ( 490199 )
  
• Applied Mathematics ( 490100 )
  
• Oceanography ( 370800 )
  
• Numerical And Computational Mathematics ( 490300 )
  

Research interests
-Applied Mathematics
-Nonlinear dynamics and general theory of nonlinear oscillations and waves;
-Theoretical and computational fluid dynamics;

Professional memberships
Queensland College of Teachers

Industry affiliations
Member of the Australian Society of Mathematicians

Currently teaching courses/programs
NUR1100 NUR1299 NUR2000 (Numeracy components);
ENM1500 Introductory Engineering Mathematics;
ENM1600 Engineering Mathematics I;
ENM2600 Advanced Engineering Mathematics;
MAT1100 Foundation Mathematics;
MAT1101 Discrete Mathematics for Computing;
MAT3103 Mathematical Modelling and Dynamical Systems;
MAT3201 Operations Research 2

Teaching experience(Tertiary)
8 Years

Administrative responsibilities
First Year Coordinator

Research most recent
1. Raj, Nawin and Brown, Jason (2021) An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for
significant wave height forecasting along coastal areas of Queensland, Australia. Remote Sensing, 13 (8):1456.pp. 1-20.
pp. 1-11. ISSN 1054-1500
2. Mouatadid, Soukayna and Raj, Nawin and Deo, Ravinesh C. and Adamowski, Jan F. (2018) Input selection and data-driven
model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone
region. Atmospheric Research, 212. pp. 130-149. ISSN 0169-8095
3. Ghimire, Sujan and Deo, Ravinesh C. and Downs, Nathan J. and Raj, Nawin (2018) Self-adaptive differential evolutionary
extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis
atmospheric products in solar-rich cities. Remote Sensing of Environment, 212. pp. 176-198. ISSN 0034-4257

Research most notable
1. Raj, Nawin and Brown, Jason (2021) An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for
significant wave height forecasting along coastal areas of Queensland, Australia. Remote Sensing, 13 (8):1456.pp. 1-20.
2. Obregon, Maria and Raj, Nawin and Stepanyants, Yury (2018) Adiabatic decay of internal solitons due to Earth’s rotation
within the framework of the Gardner–Ostrovsky equation. Chaos: An interdisciplinary Journal of Nonlinear Science, 28
(3).
3. Raj, N., Li, Z. (2008) Creating Streamtubes Based on Mass Conservative Streamlines. International Journal of
Mathematical, Physical and Engineering Sciences, 2(1)(2008), 41-45.

Publications in ePrints

Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Gharineiat, ZahraORCID: https://orcid.org/0000-0003-0913-151X and Ahmed, Abul Abrar Masrur and Stepanyants, YuryORCID: https://orcid.org/0000-0003-4546-0310 (2022) Assessment and Prediction of Sea Level Trend in the South Pacific Region. Remote Sensing, 14 (4):986. pp. 1-25.

Jayasinghe, W. J. M. Lakmini Prarthana and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 and Ghimire, Sujan and Raj, NawinORCID: https://orcid.org/0000-0002-8364-2644 (2022) Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data. Journal of Hydrology, 607:127534. pp. 1-19. ISSN 0022-1694

Ahmed, A. A. Masrur and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Feng, Qi and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 and Raj, NawinORCID: https://orcid.org/0000-0002-8364-2644 and Yin, Zhenliang and Yang, Linshan (2022) Hybrid deep learning method for a week-ahead evapotranspiration forecasting. Stochastic Environmental Research and Risk Assessment, 36 (3). pp. 831-849. ISSN 1436-3240

Ahmed, A. A. Masrur and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 and Feng, Qi and Raj, NawinORCID: https://orcid.org/0000-0002-8364-2644 and Yin, Zhenliang and Yang, Linshan (2022) New double decomposition deep learning methods for river water level forecasting. Science of the Total Environment, 831:154722. pp. 1-21. ISSN 0048-9697

Sharma, Ekta ORCID: https://orcid.org/0000-0003-3692-382X and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Soar, JeffreyORCID: https://orcid.org/0000-0002-4964-7556 and Prasad, Ramendra and Parisi, Alfio V.ORCID: https://orcid.org/0000-0001-8430-8907 and Raj, NawinORCID: https://orcid.org/0000-0002-8364-2644 (2022) Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots. Atmospheric Environment, 279:119111. pp. 1-13. ISSN 1352-2310

View full listing in ePrints

Research supervisor in the area of:

• Oceanography not elsewhere classified ( 040599 )
  
• Applied Mathematics not elsewhere classified ( 010299 )
  
• Numerical and Computational Mathematics not elsewhere classified ( 010399 )
  
• Numerical And Computational Mathematics not elsewhere classified ( 490399 )
  
• Oceanography not elsewhere classified ( 370899 )
  
• Applied Mathematics not elsewhere classified ( 490199 )
  
• Applied Mathematics ( 490100 )
  
• Oceanography ( 370800 )
  
• Numerical And Computational Mathematics ( 490300 )
  

Research topics

• Academic Numeracy Framework
  
• Modelling and Optimisation of Wind Power with Artificial Intelligence Approaches
  
• Disaster Risk Early Warning System: Flood Forecasting with Copula Models and Deep Learning Algorithms