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Dr Nawin Raj

Name Nawin Raj
Position Lecturer (Mathematics)
Section School of Sciences
Office B430
Location Springfield Campus
Phone +61 7 3470 4337
Extension 4337
Email
Qualifications BEd South Pacific , BSc South Pacific , GDipMaths South Pacific , MSc South Pacific , PhD USQ

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 )

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

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 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.

Ahmed, A. A. Masrur and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Raj, Nawin and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 and Feng, Qi and Yin, Zhenliang and Yang, Linshan (2021) Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. Remote Sensing, 13 (4):554. pp. 1-30.

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, Nawin and Yin, Zhenliang and Yang, Linshan (2021) Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity. Journal of Hydrology, 599:126350. pp. 1-23. ISSN 0022-1694

Moishin, Mohammed and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Prasad, Ramendra and Raj, Nawin and Abdulla, ShahabORCID: https://orcid.org/0000-0002-1193-6969 (2021) Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm. IEEE Access, 9. pp. 50982-50993. ISSN 2169-3536

Neupane, Ananta and Raj, Nawin and Deo, RavineshORCID: https://orcid.org/0000-0002-2290-6749 and Ali, Mumtaz (2021) Development of data-driven models for wind speed forecasting in Australia. In: Predictive modelling for energy management and power systems engineering. Elsevier, Amsterdam, Netherlands, pp. 143-190. ISBN 978-0-12-817772-3

View full listing in ePrints