Mumtaz Ali at University of Southern Queensland - Research Interests, Publications & Academic Profile

Mumtaz Ali

University of Southern Queensland

This profile is automatically generated from trusted academic sources.

Google Scholar

How do Nigerian students reach out?

Meet Kite AI

Contact this professor

Research Interests

Synoptic Meteorology

Mode Decomposition

Data Assimilation

Groundwater Modeling

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Recent Grants

Grant: Close

Probabilistic and Deep Learning Modelling of Drought Predictions and Their Impacts on Crops

Open Date: 2022-01-01

Close Date: 2024-01-01

Grant: Close

Research Support Grant

Open Date: 2021-01-01

Close Date: 2024-01-01

Grant: Close

Big Data Analytics in Agricultural and Environmental Science

Open Date: 2019-04-01

Close Date: 2022-01-01

Articles16

Collaborators4

Adeyemi Olusola

Assistant Professor

York University

Yong Xiang

Deakin University

Miklas Scholz

University of Salford

UNITED KINGDOM

Zaher Mundher Yaseen

SAUDI ARABIA

How do Nigerian students reach out?

Meet Kite AI

Mumtaz Ali

How do Nigerian students reach out?

Contact this professor

Research Interests

Ask ApplyKite AI

Recent Grants

Articles16

Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR

Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models

Adaptive Regularization and Resilient Estimation in Federated Learning

Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting

Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine

Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks

Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation

Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm

Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach

An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification

Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting

Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting

Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting

Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study

A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach

Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration

Collaborators4

Adeyemi Olusola

Yong Xiang

Miklas Scholz

Zaher Mundher Yaseen

How do Nigerian students reach out?