University of Anbar - Haitham Abdulmohsin Afan

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Haitham Abdulmohsin Afan (Lecturer)

PhD in Water resources - Civil Engineering
Lecturer
Euphrates Higher Basin Developing Center - Research Centers
haitham.afan@uoanbar.edu.iq

Biography

Haitham Afan is a civil engineer specializing in water resources management, hydrological parameter modeling, and the application of Artificial Intelligence (AI) techniques in the field of civil and environmental engineering. He received his B.Sc. from the University of Anbar in 2010, and his M.Sc. and Ph.D. from Universiti Kebangsaan Malaysia in 2014 and 2017, respectively. Dr. Afan worked as a researcher at Ton Duc Thang University in Vietnam and as a post-doctoral researcher at the University of Malaya in Malaysia. He was a senior lecturer at Al-Maarif University College from 2019 to 2023. He currently works as a researcher at the Upper Euphrates developing center at the University of Anbar, where he continues to conduct cutting-edge research and contribute to the advancement of the field.

Publication

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

Lectures

	Subject at University Anbar
2023-2024	Hydraulic Machine	Under graduate
	Subject at Al Maarif University College (AUC)
2020-2021	Water Resources Engineering (lecturer)	Under graguate
2020-2023	Hydrology (lecturer)	Under graguate
2020-2022	Computer Programming 1 (lecturer)	Under graguate
2020 (Semester I and II)	Engineering Analysis (lecturer)	Under graguate
2020 (Semester I)	Engineering Drawing (lecturer)	Under graguate
	Subject at University of Malaya (UM)
2018-2019 (Semester I)	Statistics and Numerical analysis (lecturer)	Under graguate
2019 (Semester II)	Project Management for Engineers (Assistant)	Master students
	Subject at University Kebangsaan Malaysia (UKM)
2015 (Semester I)	Surface Water Hydrology (Assistant)	First degree
2015 (Semester II)	River Engineering (Assistant)	Post Graguate
2015 (Semester II)	Water Resources Planning (Assistant)	Post Graguate

No Lectures Available .

Certificates

No Certificates Available

Suprvision

No Information Available .

Other

1- Editor at Iraqi Journal of Civil Engineering (2023-present) 2- Leading Editor at Complexity Journal (2021) 3- Recognized Reviewer in <ul> <li>Journal of Hydrology</li> <li>Water Resources Management Journal</li> <li>Neural Computing and Applications Journal</li> <li>Environmental Earth Science Journal</li> <li>Sustainability</li> <li>Plos One</li> <li>Hydrological Sciences Journal</li> <li>IEEE Access</li> <li>Science of the Total Environment</li> <li>Theoretical and Applied Climatology</li> <li>Hydrology Research</li> <li>More other journals.</li> </ul>