Associate Professor Ir Dr Ali Najah Ahmed Al Mahfoodh

Associate Professor Ir Dr Ali Najah Ahmed Al Mahfoodh

  • Associate Professor
Department of Engineering
SDGs Focus

Biography

Ali Najah Ahmed is an Associate Professor at the School of Engineering and Technology, Sunway University. Ali is a prolific author with over 300 scientific articles published in journals. He is recognized as a Chartered Engineer (CEng) by the Engineering Council in the UK and as a Professional Engineer by The Board of Engineers Malaysia (BEM). Additionally, he serves as a member of editorial boards and guest editor for special issues for various journals. He has led numerous national and international research projects. Ali is also listed in Stanford University's 2022 and 2023 lists of the top 2% of scientists.

Academic & Professional Qualifications

  • Ph.D. Civil and Structural Engineering Department, Universiti Kebangsaan Malaysia (UKM)
  • M.Eng. Civil and Structural Engineering Department, Universiti Kebangsaan Malaysia (UKM)
  • B.Sc. Civil Engineering Department, University of Technology, Iraq

Research Interests

  • Inflow Forecasting Models
  • Water Quality Prediction Models
  • Reservoir Simulation Model
  • Hydrological Cycle Analysis
  • Environmental issues such as air pollution and waste management
  • Infrastructure and natural resources management

Teaching Areas

  • Civil Engineering / water resources management
  • Environmental Engineering

Courses Taught

  • Introduction to Environmental Engineering
  • Solid Waste Management
  • Numerical Methods for Civil Engineers
  • Hydrology & Hydraulic Engineering

Notable Publications

  1. Boo, K. B. W., El-Shafie, A., Othman, F., Sherif, M., & Ahmed, A. N. (2024). Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system. Science of The Total Environment, 912, 168760.
  2. Boo, K. B. W., El-Shafie, A., Othman, F., Khan, M. M. H., Birima, A. H., & Ahmed, A. N. (2024). Groundwater level forecasting with machine learning models: A review. Water Research, 121249.
  3. Wei, Y., Hashim, H., Lai, S. H., Chong, K. L., Huang, Y. F., Ahmed, A. N., ... & El-Shafie, A. (2024). Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting. IEEE Access.
  4. Almubaidin, M. A. A., Ahmed, A. N., Malek, M. A., Mahmoud, M. A., Sherif, M., & El-Shafie, A. (2024). Enhancing reservoir operations with charged system search (CSS) algorithm: Accounting for sediment accumulation and multiple scenarios. Agricultural Water Management, 293, 108698.
  5. Almubaidin, M. A., Ahmed, A. N., Sidek, L. M., AL-Assifeh, K. A. H., & El-Shafie, A. (2024). Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms. Water Resources Management, 1-17.
  6. Jamshidzadeh, Z., Latif, S. D., Ehteram, M., Sheikh Khozani, Z., Ahmed, A. N., Sherif, M., & El-Shafie, A. (2024). An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers. Environmental Sciences Europe, 36(1), 20.
  7. Al-Msari, H., Koting, S., Ahmed, A. N., & El-Shafie, A. (2024). Review of driving-behaviour simulation: VISSIM and artificial intelligence approach. Heliyon.
     

Achievements & Accolades

Role    Project Title    Source/Amount/  Duration
Project leader  Deriving optimal operation rule for reservoir system using enhanced optimization algorithmsFundamental Research Grant Project- FRGS-Ministry of Education in Malaysia RM 63200
Project leader  Sustainability of Hydropower Energy Under Climate Change ScenarioInternal grant-Universiti Tenaga Nasional
RM 20000
 
Project leaderDeep Learning Model for Optimal Reservoir Operation in Response to Regional Hydrologic Impacts of Climate ChangeFundamental Research Grant Project- FRGS-Ministry of Education in Malaysia-RM78000
Project leaderBat Algorithm For Reservoir Power ProductionInternal grant -Universiti-Tenaga Nasional
RM 20000
 
Project leaderDam Optimization Using Machine Learning Tenaga Nasional Berhad TNB: RM 360000
Network Industry
 
Project leaderModeling the potential effects of climate change on the Drainage System PerformanceInternal grant -Universiti Tenaga Nasional
RM25000
 
Project leaderOzone Concentrations Forecasting Utilizing Artificial Intelligent TechniquesBold Grant- Universiti Tenaga Nasional.
RM25000
 
Project leaderSupport Vector Machine for Rainfall forecastingUniversity Malaysia Terengganu
RM 10000
 
Project leaderAn Investigation of the Application of Artificial Intelligence Technique in Earthquake DetectionInternational Grant- Indonesia 
RM20000
 

 

Professional Associations

Associate Editor for the following journals:

  1. Alexandria Engineering Journal
  2. Environment, Development and Sustainability 
  3. Journal of Hydroinformatics
  4. Earth Systems and Environment
  5. Journal of Applied Science and Engineering
  6. Tikrit journal of engineering sciences
  7. PLOS One
  8. Iraqi Journal of Civil Engineering (IJCE)