Publication

1. ANN Based Sediment Prediction Model Utilizing Different Input Scenarios
2. Artificial intelligence based models for stream-flow forecasting: 2000-2015
3. RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia
4. Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction
5. Optimized River Stream-Flow Forecasting Model Utilizing High-Order Response Surface Method
6. Harmonize input selection for sediment transport prediction
7. Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
8. Heavy metal monitoring, analysis and prediction in lakes and rivers: state of the art
9. Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art
10. RBFNN-based model for heavy metal prediction for different climatic and pollution conditions
11. Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm
12. Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks
13. Beam-column joint shear prediction using hybridized deep learning neural network with genetic algorithm
14. Improving dam and reservoir operation rules using stochastic dynamic programming and artificial neural network integration model
15. Water quality prediction model based support vector machine model for ungauged river catchment under dual scenarios
16. A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
17. Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy
18. Reservoir evaporation prediction modeling based on artificial intelligence methods
19. Investigation on the potential to integrate different artificial intelligence models with metaheuristic algorithms for improving river suspended sediment predictions
20. Machine learning methods for better water quality prediction
21. Toward bridging future irrigation deficits utilizing the shark algorithm integrated with a climate change model
22. Assessing the predictability of an improved ANFIS model for monthly streamflow using lagged climate indices as predictors
23. Development of a novel hybrid optimization algorithm for minimizing irrigation deficiencies
24. Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms
25. Towards a time and cost effective approach to water quality index class prediction
26. Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction
27. An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration
28. Precipitation forecasting using multilayer neuralNetwork and support vector machine optimization based on flow regime algorithm taking intoAccount uncertainties of soft computing models
29. A novel hybrid evolutionary data-intelligence algorithm for irrigation and power production management: Application to multi-purpose reservoir systems
30. A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
31. New evolutionary algorithm for optimizing hydropower generation considering multireservoir systems
32. Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow
33. Investigating the influence of meteorological parameters on the accuracy of sea-level prediction models in Sabah, Malaysia
34. Optimised neural network model for river-nitrogen prediction utilizing a new training approach
35. Complex extreme sea levels prediction analysis: Karachi coast case study
36. Pipeline scour rates prediction-based model utilizing a multilayer perceptron-colliding body algorithm
37. State-of-the art-powerhouse, dam structure, and turbine operation and vibrations
38. Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm
39. Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting
40. Review of nitrogen compounds prediction in water bodies using artificial neural networks and other models
41. Energy analysis using carbon and metallic oxides-based nanomaterials inside a solar collector
42. Experimental and numerical analysis for earth-fill dam seepage
43. Efficient river water quality index prediction considering minimal number of inputs variables
44. Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm
45. Feedforward artificial neural network-based model for predicting the removal of phenolic compounds from water by using deep eutectic solvent-functionalized CNTs
46. Optimizing height and spacing of check dam systems for better grassed channel infiltration capacity
47. Application of non-parametric approaches to identify trend in streamflow during 1976–2007 (Naula watershed)
48. Changes in climatic water availability and crop water demand for Iraq region
49. Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques
50. RBFNN versus GRNN modeling approach for sub-surface evaporation rate prediction in arid region
51. An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir
52. Delineating the Crop-Land Dynamic due to Extreme Environment Using Landsat Datasets: A Case Study
53. Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster
54. Sediment Incipient Motion in Sewer with a Bed Deposit
55. Thermal and Hydraulic Performances of Carbon and Metallic Oxides-Based Nanomaterials
56. Boosted artificial intelligence model using improved alpha-guided grey wolf optimizer for groundwater level prediction: Comparative study and insight for federated learning technology
57. Study of Behaviour of Short Concrete Columns Confined with PVC Tube under Uniaxial Load
58. Artificial intelligence models for methylene blue removal using functionalized carbon nanotubes

Lectures

Other

1- Editor at Iraqi Journal of Civil Engineering (2023-present)

2- Leading Editor at Complexity Journal (2021)

3- Recognized Reviewer in

• Journal of Hydrology
• Water Resources Management Journal
• Neural Computing and Applications Journal
• Environmental Earth Science Journal
• Sustainability
• Plos One
• Hydrological Sciences Journal
• IEEE Access
• Science of the Total Environment
• Theoretical and Applied Climatology
• Hydrology Research
• More other journals.