Curriculum Vitae

PROF. DR. AHMED HUSSEIN KAMEL AHMED NASSER

Professor
  • Department of Civil Engineering
    Faculty of Engineering
  • elshafie
  • 0379677651

BIOGRAPHY

 

A. El-shafie received his B.Sc. and M.Sc. from the Department of Civil Engineering from Cairo University, Giza, Egypt in 1993 and 1998, respectively. In 2003, he received his PhD in water resources management and planning from Department of Civil Engineering, Cairo University under collaborative academic channel program with Civil Engineering Department, University of Calgary, Calgary, Alberta, Canada.

 

Between 2004 and 2007, he was a postdoctoral fellow at Department of Electrical and Computer Engineering at both of Royal Military College of Canada and Queen’s University, Kingston, ON, Canada. Between 2007-2015, he is a Associate Professor with the Smart Engineering System, Department of Civil & Structural Engineering, University Kebangsaan Malaysia, Malaysia. Presently he is a Professor with Department of Civil Engineering, University of Malaya. His research interest is related to artificial intelligence techniques with their applications to several engineering applications giving emphasis to hydrological process, environmental and water resources, dam and reservoir operation and multi-sensor system integration.

AREAS OF EXPERTISE

  • WATER BODY MANAGEMENT
    Water Quality Modeling
  • WATER BODY MANAGEMENT
    Sediment Prediction Model
  • RIVER ENGINEERING
    Stream flow modeling
  • SURFACE WATER HYDROLOGY
    Water Resources Management

ACADEMIC QUALIFICATION

  • PhD (Civil Engineering), (BUILDING AND ENVIRONMENTAL TECHNOLOGY)
    Cairo University, Egypt & University of Calgary, Canada
  • MEng (Civl Engineering), (CIVIL ENGINEERING - IRRIGATION AND HYDRAULICCS)
    Cairo University, Egypt
  • BEng (Civil Engineering), (Civil Engineering)
    Cairo University, Egypt

ADMINISTRATIVE DUTIES

  • Member, Exam Committee, and Wakil Lembaga Pemeriksa (WLP)
    03 Jul 2017 - 03 May 2021 (Department of Civil Engineering, Faculty of Engineering)
  • JIT committee
    09 Jan 2017 - 03 May 2021 (Department of Civil Engineering, Faculty of Engineering)
  • Member, Student Affair
    20 Jul 2017 - 03 May 2021 (Department of Civil Engineering, Faculty of Engineering)
  • Academic Advisory for Internationa Students
    12 Oct 2020 - 22 Feb 2021 (Department of Civil Engineering, Faculty of Engineering)
  • Head of Unit
    03 Jul 2017 - 30 Jun 2018 (Department of Civil Engineering, Faculty of Engineering)

MEMBERSHIPS

  • INST. ENGINEERING TECHNOLOGY, CHARTERED ENGINEER
    Since 2019 (International)
  • INTERNATIONAL CONFERENCE ON ADVANCED FUNCTIONAL MATERIALS (ICAFM2018), ACADEMIC COMMITTEE MEMBER
    2018 to 2018 (International)
  • INST. ENGINEERING TECHNOLOGY, GRADUATE MEMBER
    2017 to 2018 (International)

AWARD AND STEWARDSHIP

  • Appreciation for Publicity and Protocol Committee
    FKA, 2018 (Department)
  • Best Research Group (Smart Engineering Group)
    University Kebangsaan Malaysia, 2013 (University)
  • Best Research group
    University Kebangsaan Malaysia, 2012 (International)
  • Appreciation Certificate for best lecture for Water Resources Management
    Mediterranean Agronomic Institute of Bari, Italy, 2004 (International)
  • Best Research Paper
    Nile River Conference, Kigali, Rwanda, 2002 (International)
  • Best Researcher Award
    National Water Research Center, Egypt, 2000 (National)
  • Appreciation Certificate for providing best presentation in River Navigation
    Water Academy, Norway, National Water Research Center, Egypt, 1998 (International)
  • Best Presentation for GIS application in Water Resources Management
    ACSAD, Damascus, Syria, 1997 (International)
  • Top 10 Award
    Cairo University, B.Sc. Rank # 9. Egypt, 1993 (University)
  • Dean s List, 1988-1993
    Faculty of Engineering, Cairo University, 1993 (International)

PUBLICATIONS

Article in Journal
WoS
  1. Abdalrahman, Ghada; Lai, Sai Hin; Kumar, Pavitra; Ahmed, Ali Najah; Sherif, Mohsen; Sefelnasr, Ahmed; Chau, Kwok Wing; Elshafie, Ahmed (2022). Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques, ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 16(1), 397-421. doi:10.1080/19942060.2021.2019126
  2. Achite, Mohammed; Banadkooki, Fatemeh Barzegari; Ehteram, Mohammad; Bouharira, Abdelhak; Ahmed, Ali Najah; Elshafie, Ahmed (2022). Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts, STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. . doi:10.1007/s00477-021-02150-6
  3. Adnan, Rana Muhammad; Kisi, Ozgur; Mostafa, Reham R.; Ahmed, Ali Najah; El-Shafie, Ahmed (2022). The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction, HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES. 67(2), 161-174. doi:10.1080/02626667.2021.2012182
  4. Afan, Haitham Abdulmohsin; Yafouz, Ayman; Birima, Ahmed H.; Ahmed, Ali Najah; Kisi, Ozgur; Chaplot, Barkha; El-Shafie, Ahmed (2022). Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster, NATURAL HAZARDS. . doi:10.1007/s11069-022-05237-7
  5. Ahmed, Ali Najah; Yafouz, Ayman; Birima, Ahmed H.; Kisi, Ozgur; Huang, Yuk Feng; Sherif, Mohsen; Sefelnasr, Ahmed; El-Shafie, Ahmed (2022). Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia, ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 16(1), 422-440. doi:10.1080/19942060.2021.2019128
  6. Chong, K. L.; Huang, Y. F.; Koo, C. H.; Ahmed, Ali Najah; El-Shafie, Ahmed (2022). Spatiotemporal variability analysis of standardized precipitation indexed droughts using wavelet transform, JOURNAL OF HYDROLOGY. 605. doi:10.1016/j.jhydrol.2021.127299
  7. Ehteram, Mohammad; Panahi, Fatemeh; Ahmed, Ali Najah; Mosavi, Amir H.; El-Shafie, Ahmed (2022). Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation, FRONTIERS IN ENVIRONMENTAL SCIENCE. 9. doi:10.3389/fenvs.2021.789995
  8. Essam, Yusuf; Huang, Yuk Feng; Birima, Ahmed H.; Ahmed, Ali Najah; El-Shafie, Ahmed (2022). Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms, SCIENTIFIC REPORTS. 12(1). doi:10.1038/s41598-021-04419-w
  9. Hamzah, Fatimah Bibi; Mohamad Hamzah, Firdaus; Mohd Razali, Siti Fatin; El-Shafie, Ahmed (2022). Multiple imputations by chained equations for recovering missing daily streamflow observations: a case study of Langat River basin in Malaysia, HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES. 67(1), 137-149. doi:10.1080/02626667.2021.2001471
  10. Huang, Yuk Feng; Ahmed, Ali Najah; Ng, Jing Lin; Tan, Kok Weng; Kumar, Pavitra; El-Shafie, Ahmed (2022). Rainfall Variability Index (RVI) analysis of dry spells in Malaysia, NATURAL HAZARDS. . doi:10.1007/s11069-022-05234-w
  11. Latif, Sarmad Dashti; Birima, Ahmed H.; Ahmed, Ali Najah; Hatem, Dahan Mohammed; Al-Ansari, Nadhir; Fai, Chow Ming; El-Shafie, Ahmed (2022). Development of prediction model for phosphate in reservoir water system based machine learning algorithms, AIN SHAMS ENGINEERING JOURNAL. 13(1). doi:10.1016/j.asej.2021.06.009
  12. Osman, Ahmedbahaaaldin Ibrahem Ahmed; Ahmed, Ali Najah; Huang, Yuk Feng; Kumar, Pavitra; Birima, Ahmed H.; Sherif, Mohsen; Sefelnasr, Ahmed; Ebraheemand, Abdel Azim; El-Shafie, Ahmed (2022). Past, Present and Perspective Methodology for Groundwater Modeling-Based Machine Learning Approaches, ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING. . doi:10.1007/s11831-022-09715-w
  13. Saab, Saad Mawlood; Othman, Faridah Binti; Tan, Chee Ghuan; Allawi, Mohammed Falah; El-Shafie, Ahmed (2022). Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms, APPLIED WATER SCIENCE. 12(4). doi:10.1007/s13201-022-01593-8
  14. Salimi, Amir Hossein; Shamshiri, Ali; Jaberi, Ehsan; Bonakdari, Hossein; Akhbari, Azam; Delatolla, Robert; Hassanvand, Mohammad Reza; Agharazi, Mohammad; Huang, Yuk Feng; Ahmed, Ali Najah; Elshafie, Ahmed (2022). Total iron removal from aqueous solution by using modified clinoptilolite, AIN SHAMS ENGINEERING JOURNAL. 13(1). doi:10.1016/j.asej.2021.05.009
  15. Wan Mohtar, Wan Hanna Melini; Hin Joo Bong, Charles; Ab Ghani, Aminuddin; Safari, Mir Jafar Sadegh; Taib, Aizat Mohd; Afan, Haitham Abdulmohsin; EL-SHAFIE, Ahmed (2022). Sediment Incipient Motion in Sewer with a Bed Deposit, TEKNIK DERGI. 33(1), 11473-11486. doi:10.18400/tekderg.572529
  16. Yafouz, Ayman; AlDahoul, Nouar; Birima, Ahmed H.; Ahmed, Ali Najah; Sherif, Mohsen; Sefelnasr, Ahmed; Allawi, Mohammed Falah; Elshafie, Ahmed (2022). Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction, ALEXANDRIA ENGINEERING JOURNAL. 61(6), 4607-4622. doi:10.1016/j.aej.2021.10.021
  17. Abdalrahman, G. A. M., Lai, S. H., Snounu, I., Kumar, P., Sefelnasr, A., Sherif, M., & El-shafie, A. (2021). Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling. Journal of Water Process Engineering, 40, 17. doi: 10.1016/j.jwpe.2020.101848
  18. Ahmed, A. N., Lam, T. V., Hung, N. D., Thieu, N. V., Kisi, O., & El-Shafie, A. (2021). A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem. Applied Soft Computing, 105, 19. doi: 10.1016/j.asoc.2021.107282
  19. AlDahoul, N., Essam, Y., Kumar, P., Ahmed, A. N., Sherif, M., Sefelnasr, A., & Elshafie, A. (2021). Suspended sediment load prediction using long short-term memory neural network. Scientific Reports, 11(1), 22. doi: 10.1038/s41598-021-87415-4
  20. Allawi, M. F., Ahmed, M. L., Aidan, I. A., Deo, R. C., & El-Shafie, A. (2021). Developing reservoir evaporation predictive model for successful dam management. Stochastic Environmental Research and Risk Assessment, 35(2), 499-514. doi: 10.1007/s00477-020-01918-6
  21. Allawi, M. F., Aidan, I. A., & El-Shafie, A. (2021). Enhancing the performance of data-driven models for monthly reservoir evaporation prediction. Environmental Science and Pollution Research, 28(7), 8281-8295. doi: 10.1007/s11356-020-11062-x
  22. Allawi, M. F., Hussain, I. R., Salman, M. I., & El-Shafie, A. (2021). Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq. Stochastic Environmental Research and Risk Assessment, 35(11), 2391-2410. doi: 10.1007/s00477-021-02052-7
  23. Chong, K. L., Lai, S. H., Ahmed, A. N., Zaafar, W. Z. W., Rao, R. V., Sherif, M., . . . El-Shafie, A. (2021). Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms. IEEE Access, 9, 19488-19505. doi: 10.1109/access.2021.3054424
  24. Darabi, H., Mohamadi, S., Karimidastenaei, Z., Kisi, O., Ehteram, M., Elshafie, A., & Haghighi, A. T. (2021). Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models. Soft Computing, 25(11), 7609-7626. doi: 10.1007/s00500-021-05721-5
  25. Ehteram, M., Ahmed, A. N., Kumar, P., Sherif, M., & El-Shafie, A. (2021). Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron. Energy Reports, 7, 6308-6326. doi: 10.1016/j.egyr.2021.09.079
  26. Ehteram, M., Ahmed, A. N., Latif, S. D., Huang, Y. F., Alizamir, M., Kisi, O., . . . El-Shafie, A. (2021). Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction. Environmental Science and Pollution Research, 28(2), 1596-1611. doi: 10.1007/s11356-020-10421-y
  27. Ehteram, M., Banadkooki, F. B., Fai, C. M., Moslemzadeh, M., Sapitang, M., Ahmed, A. N., . . . El-Shafie, A. (2021). Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy. Energy Reports, 7, 3703-3725. doi: 10.1016/j.egyr.2021.06.008
  28. Ehteram, M., Teo, F. Y., Ahmed, A. N., Latif, S. D., Huang, Y. F., Abozweita, O., . . . El-Shafie, A. (2021). Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms. Ain Shams Engineering Journal, 12(2), 1665-1676. doi: 10.1016/j.asej.2020.08.019
  29. Ganasan, R., Tan, C. G., Ibrahim, Z., Nazri, F. M., Sherif, M. M., & El-Shafie, A. (2021). Development of Crack Width Prediction Models for RC Beam-Column Joint Subjected to Lateral Cyclic Loading Using Machine Learning. Applied Sciences-Basel, 11(16), 24. doi: 10.3390/app11167700
  30. Habib, I., Mohtar, W., El-Shafie, A., & Sharil, S. (2021). Potential of Epoxidised Natural Rubber Alumina Nanoparticles (ENRAN) sheet as local bridge pier scour countermeasure. Ain Shams Engineering Journal, 12(2), 1255-1265. doi: 10.1016/j.asej.2020.07.030
  31. Hanoon, M. S., Ahmed, A. N., Zaini, N., Razzaq, A., Kumar, P., Sherif, M., . . . El-Shafie, A. (2021). Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia. Scientific reports, 11(1), 19. doi: 10.1038/s41598-021-96872-w
  32. Kamel, A. H., Afan, H. A., Sherif, M., Ahmed, A. N., & El-Shafie, A. (2021). RBFNN versus GRNN modeling approach for sub-surface evaporation rate prediction in arid region. Sustainable Computing-Informatics & Systems, 30, 10. doi: 10.1016/j.suscom.2021.100514
  33. Khan, S., Yap, S. P., Tan, C. G., Ganasan, R., Sherif, M. M., & El-Shafie, A. (2021). Torsional Crack Localization in Palm Oil Clinker Concrete Using Acoustic Emission Method. Materials, 14(18), 18. doi: 10.3390/ma14185446
  34. Kumar, P., Lai, S. H., Mohd, N. S., Kamal, M. R., Ahmed, A. N., Sherif, M., . . . El-shafie, A. (2021). Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network. Engineering Applications of Computational Fluid Mechanics, 15(1), 1843-1867. doi: 10.1080/19942060.2021.1990134
  35. Lai, V., Huang, Y. F., Koo, C. H., Ahmed, A. N., & El-Shafie, A. (2021). Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique. Engineering Applications of Computational Fluid Mechanics, 15(1), 1682-1702. doi: 10.1080/19942060.2021.1982777
  36. Latif, S. D., Ahmed, A. N., Sathiamurthy, E., Huang, Y. F., & El-Shafie, A. (2021). Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular Malaysia. Natural Hazards, 109(1), 351-369. doi: 10.1007/s11069-021-04839-x
  37. Latif, S. D., Ahmed, A. N., Sherif, M., Sefelnasr, A., & El-Shafie, A. (2021). Reservoir water balance simulation model utilizing machine learning algorithm. Alexandria Engineering Journal, 60(1), 1365-1378. doi: 10.1016/j.aej.2020.10.057
  38. Latif, S. D., Marhain, S., Hossain, M. S., Ahmed, A. N., Sherif, M., Sefelnasr, A., & El-Shafie, A. (2021). Optimizing the Operation Release Policy Using Charged System Search Algorithm: A Case Study of Klang Gates Dam, Malaysia. Sustainability, 13(11), 19. doi: 10.3390/su13115900
  39. Naganna, S. R., Ibrahim, H. A., Yap, S. P., Tan, C. G., Mo, K. H., & El-Shafie, A. (2021). Insights into the Multifaceted Applications of Architectural Concrete: A State-of-the-Art Review. Arabian Journal for Science and Engineering, 46(5), 4213-4223. doi: 10.1007/s13369-020-05033-0
  40. Najah, A., Teo, F. Y., Chow, M. F., Huang, Y. F., Latif, S. D., Abdullah, S., . . . El-Shafie, A. (2021). Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia. International Journal of Environmental Science and Technology, 18(4), 1009-1018. doi: 10.1007/s13762-021-03139-y
  41. Osman, A. I. A., Ahmed, A. N., Chow, M. F., Huang, Y. F., & El-Shafie, A. (2021). Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia. Ain Shams Engineering Journal, 12(2), 1545-1556. doi: 10.1016/j.asej.2020.11.011
  42. Ridwan, W. M., Sapitang, M., Aziz, A., Kushiar, K. F., Ahmed, A. N., & El-Shafie, A. (2021). Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia. Ain Shams Engineering Journal, 12(2), 1651-1663. doi: 10.1016/j.asej.2020.09.011
  43. Sami, B. H. Z., Khai, W. J., Sami, B. F. Z., Fai, C. M., Essam, Y., Ahmed, A. N., & El-Shafie, A. (2021). Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction. Ain Shams Engineering Journal, 12(2), 1607-1622. doi: 10.1016/j.asej.2021.01.007
  44. Tiu, ESK; Huang, YF; Ng, JL; AlDahoul, N; Ahmed, AN; Elshafie, A (2021). An evaluation of various data pre-processing techniques with machine learning models for water level prediction, NATURAL HAZARDS. . doi:10.1007/s11069-021-04939-8
  45. Yafouz, A., Ahmed, A. N., Zaini, N., & El-Shafie, A. (2021). Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review. Water Air and Soil Pollution, 232(2), 29. doi: 10.1007/s11270-021-04989-5
  46. Yafouz, A., Ahmed, A. N., Zaini, N., Sherif, M., Sefelnasr, A., & El-Shafie, A. (2021). Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms. Engineering Applications of Computational Fluid Mechanics, 15(1), 902-933. doi: 10.1080/19942060.2021.1926328
  47. Attar, N. F., Pham, Q. B., Nowbandegani, S. F., Rezaie-Balf, M., Fai, C. M., Ahmed, A. N., . . . El-Shafie, A. (2020). Enhancing the Prediction Accuracy of Data-Driven Models for Monthly Streamflow in Urmia Lake Basin Based upon the Autoregressive Conditionally Heteroskedastic Time-Series Model. Applied Sciences-Basel, 10(2), 20. doi: 10.3390/app10020571
Others
  1. Adnan R.M., Chen Z., Yuan X., Kisi O., El-Shafie A., Kuriqi A., Ikram M., Reference evapotranspiration modeling using new heuristic methods, 2020, Entropy, 22, 5, 547
  2. Afan, H.A., Allawi, M.F., El-Shafie, A. et al. Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting. Sci Rep 10, 4684 (2020). https://doi.org/10.1038/s41598-020-61355-x
  3. Al Khatib, B., Yap, S. P., El-Shafie, A. 2020. Delay Factors Management and Ranking for Reconstruction and Rehabilitation Projects Based on the Relative Importance Index (RII). Sustainability, 12 (15): 6171.
  4. Alizamir M., Kisi O., Ahmed A.N., Mert C., Fai C.M., Kim S., Kim N.W., El-Shafie A., Advanced machine learning model for better prediction accuracy of soil temperature at different depths, 2020, PLoS ONE, 15, 4, e0231055
  5. Allawi M.F., Aidan I.A., El-Shafie A., Enhancing the performance of data-driven models for monthly reservoir evaporation prediction, 2020, Environmental Science and Pollution Research
  6. Banadkooki F.B., Adamowski J., Singh V.P., Ehteram M., Karami H., Mousavi S.F., Farzin S., EL-Shafie A., Crow Algorithm for Irrigation Management: A Case Study, 2020, Water Resources Management, 34, 3, , 1021, 1045
  7. Banadkooki F.B., Ehteram M., Ahmed A.N., Teo F.Y., Ebrahimi M., Fai C.M., Huang Y.F., El-Shafie A., Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm, 2020, Environmental Science and Pollution Research, 27, 30, , 38094, 38116
  8. Banadkooki F.B., Ehteram M., Ahmed A.N., Teo F.Y., Fai C.M., Afan H.A., Sapitang M., El-Shafie A., Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm, 2020, Natural Resources Research, 29, 5, , 3233, 3252
  9. Choong C.E., Ibrahim S., El-Shafie A., Artificial Neural Network (ANN) model development for predicting just suspension speed in solid-liquid mixing system, 2020, Flow Measurement and Instrumentation, 71, , 101689
  10. Ehteram M., Ahmed A.N., Latif S.D., Huang Y.F., Alizamir M., Kisi O., Mert C., El-Shafie A., Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction, 2020, Environmental Science and Pollution Research
  11. Ehteram M., Ahmed A.N., Ling L., Fai C.M., Latif S.D., Afan H.A., Banadkooki F.B., El-Shafie A., Pipeline scour rates prediction-based model utilizing a multilayer perceptron-colliding body algorithm, 2020, Water (Switzerland), 12, 3, 902
  12. Hamim A., Md. Yusoff N.I., Omar H.A., Jamaludin N.A.A., Hassan N.A., El-Shafie A., Ceylan H., Integrated finite element and artificial neural network methods for constructing asphalt concrete dynamic modulus master curve using deflection time-history data, 2020, Construction and Building Materials, 257, , 119549
  13. Ibrahim, R.K., Fiyadh, S.S., AlSaadi, M.A., Lai, S.H., Mohd, N.S., Ibrahim, S., Afan, H.A., Fai, C.M., Ahmed, A.N., Elshafie, A. 2020. Feedforward artificial neural network-based model for predicting the removal of phenolic compounds from water by using deep eutectic solvent-functionalized CNTs. Molecules, 25, 1511.
  14. Jumin E., Zaini N., Ahmed A.N., Abdullah S., Ismail M., Sherif M., Sefelnasr A., El-Shafie A., Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction, 2020, Engineering Applications of Computational Fluid Mechanics, 14, 1, , 713, 725
  15. Khan F.A., Ali Khan T.M., Ahmed A.N., Afan H.A., Sherif M., Sefelnasr A., El-Shafie A., Complex extreme sea levels prediction analysis: Karachi coast case study, 2020, Entropy, 22, 5, 549
  16. Khan M.M.H., Muhammad N.S., El-Shafie A., Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting, 2020, Journal of Hydrology, 590, , 125380
  17. Kumar, P., Lai, S.H., Mohd, N.S., Kamal, M.R., Afan, H.A., Ahmed, A.N., Sherif, M., Sefelnasr, A., El-Shafie, A. 2020. Optimised neural network model for river-nitrogen prediction utilizing a new training approach. PLoS ONE, 15, e0239509.
  18. Kumar, P., Lai, S.H., Wong, J.K., Mohd, N.S., Kamal, M.R., Afan, H.A., Ahmed, A.N., Sherif, M., Sefelnasr, A., El-Shafie, A. 2020. Review of nitrogen compounds prediction in water bodies using artificial neural networks and other models. Sustainability, 12, 4359.
  19. Malik A., Kumar A., Najah Ahmed A., Ming Fai C., Abdulmohsin Afan H., Sefelnasr A., Sherif M., El-Shafie A., Application of non-parametric approaches to identify trend in streamflow during 1976 2007 (Naula watershed), 2020, Alexandria Engineering Journal, 59, 3, , 1595, 1606
  20. Mohamadi S., Ehteram M., El-Shafie A., Accuracy enhancement for monthly evaporation predicting model utilizing evolutionary machine learning methods, 2020, International Journal of Environmental Science and Technology, 17, 7, , 3373, 3396
  21. Mohamadi S., Sammen S.S., Panahi F., Ehteram M., Kisi O., Mosavi A., Ahmed A.N., El-Shafie A., Al-Ansari N., Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm, 2020, Natural Hazards, 104, 1, , 537, 579
  22. Mohammadi B., Linh N.T.T., Pham Q.B., Ahmed A.N., Vojtekov J., Guan Y., Abba S.I., El-Shafie A., Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series, 2020, Hydrological Sciences Journal, 65, 10, , 1738, 1751
  23. Muslim T.O., Ahmed A.N., Malek M.A., Afan H.A., Ibrahim R.K., El-Shafie A., Sapitang M., Sherif M., Sefelnasr A., El-Shafie A., Investigating the influence of meteorological parameters on the accuracy of sea-level prediction models in Sabah, Malaysia, 2020, Sustainability (Switzerland), 12, 3, 1193
  24. Osman A., Afan H.A., Allawi M.F., Jaafar O., Noureldin A., Hamzah F.M., Ahmed A.N., El-shafie A., Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow, 2020, Journal of Hydrology, 586, , 124896
  25. Pham Q.B., Afan H.A., Mohammadi B., Ahmed A.N., Linh N.T.T., Vo N.D., Moazenzadeh R., Yu P.-S., El-Shafie A., Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm, 2020, Soft Computing
  26. Rezaie-Balf M., Attar N.F., Mohammadzadeh A., Murti M.A., Ahmed A.N., Fai C.M., Nabipour N., Alaghmand S., El-Shafie A., Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach, 2020, Journal of Cleaner Production, 271, , 122576
  27. Sapitang M., Ridwan W.M., Kushiar K.F., Ahmed A.N., El-Shafie A., Machine learning application in reservoir water level forecasting for sustainable hydropower generation strategy, 2020, Sustainability (Switzerland), 12, 15, 6121
  28. Tikhamarine Y., Souag-Gamane D., Ahmed A.N., Sammen S.S., Kisi O., Huang Y.F., El-Shafie A., Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization, 2020, Journal of Hydrology, 589, , 125133
  29. Tikhamarine Y., Souag-Gamane D., Najah Ahmed A., Kisi O., El-Shafie A., Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm, 2020, Journal of Hydrology, 582, , 124435
  30. 11.Ghazvinian H., Mousavi S.-F., Karami H., Farzin S., Ehteram M., Hossain M.S., Fai C.M., Hashim H.B., Singh V.P., Ros F.C., Ahmed A.N., Afan H.A., Lai S.H., El-Shafie A., Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction, 2019, PLoS ONE, 14, 5, e0217634,
  31. 4.Adnan, R.M., Liang, Z., El-Shafie, A., Zounemat-Kermani, M., Kisi, O., Prediction of suspended sediment load using data-driven models, (2019) Water (Switzerland), 11 (10), art. no. 2060
  32. Allawi, M.F., Jaafar, O., Hamzah, F.M. and El-Shafie, A., 2019. Novel reservoir system simulation procedure for gap minimization between water supply and demand. Journal of Cleaner Production, 206, pp.928-943.
  33. Allawi, M.F., Jaafar, O., Hamzah, F.M., Koting, S.B., Mohd, N.S., El-Shafie, A. 2019. Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance. Knowledge-Based Systems, 163, 907 - 926.
  34. Ehteram, M., Afan, H.A., Dianatikhah, M., Ahmed, A.N., Fai, C.M., Hossain, M.S., Allawi, M.F. and Elshafie, A., 2019. Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors. Water, 11(6), p.1130.
  35. Ehteram, M., Binti Koting, S., Afan, H.A., Mohd, N.S., Malek, M.A., Ahmed, A.N., El-shafie, A.H., Onn, C.C., Lai, S.H. and El-Shafie, A., 2019. New Evolutionary Algorithm for Optimizing Hydropower Generation Considering Multireservoir Systems. Applied Sciences, 9(11), p.2280
  36. Ehteram, M., Ghotbi, S., Kisi, O., Ahmed, A.N., Hayder, G., Fai, C.M., Krishnan, M., Afan, H.A., EL-Shafie, A. Investigation on the potential to integrate different artificial intelligence models with metaheuristic algorithms for improving river suspended sediment predictions, (2019) Applied Sciences (Switzerland), 9 (19), art. no. 4149,
  37. Ehteram, M., Singh, V.P., Ferdowsi, A., Mousavi, S.F., Farzin, S., Karami, H., Mohd, N.S., Afan, H.A., Lai, S.H., Kisi, O., Malek, M.A., Ahmed, A.N., El-Shafie, A. 2019. An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration, PLoS ONE, 14 (5), e0217499.
  38. Fayaed, S.S., Fiyadh, S.S., Khai. W.J., Ahmed, A.N., Afan, H.A., Ibrahim, R.K., Fai, C.M., Koting, S., Mohd, N.S., Jaafar, W.Z., Hin, L.S., El-Shafie, A. 2019. Improving dam and reservoir operation rules using stochastic dynamic programming and artificial neural network integration model. Sustainability, 11, 5367.
  39. Fiyadh, S.S., AlSaadi, M.A., Jaafar, W.Z.B., AlOmar, M.K., Fayaed, S.S., Hama, A.R., Hin, L.S. and El Shafie, A., 2019. Mercury removal from water using deep eutectic solvents functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach. Environmental Progress & Sustainable Energy, 38(6)
  40. Ho, J.Y., Afan, H.A., El-Shafie, A.H., Koting, S.B., Mohd, N.S., Jaafar, W.Z.B., Elshorbagy, A., El-Shafie A. 2019. Towards a time and cost effective approach to water quality index class prediction. Journal of Hydrology, 575, 148-165.
  41. Ibrahim, R.K., El-Shafie, A., Hin, L.S., Mohd, N.S., Aljumaily, M.M., Ibraim, S., AlSaadi, M.A. 2019. A clean approach for functionalized carbon nanotubes by deep eutectic solvents and their performance in the adsorption of methyl orange from aqueous solution. Journal of Environmental Management, 235, 521 - 534.
  42. Karami, H., Farzin, S., Jahangiri, A., Ehteram, M., Kisi, O. and El-Shafie, A., 2019. Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies. Water Resources Management, 33(8) pp 2741 2760
  43. Rezaie-Balf, M., Naganna, S.R., Kisi, O., El-Shafie, A.Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam, (2019) Hydrological Sciences Journal, 64 (13), pp. 1629-1646
  44. Turgut, M.S., Turgut, O.E., Afan, H.A., El-Shafie, A., A novel Master Slave optimization algorithm for generating an optimal release policy in case of reservoir operation, (2019) Journal of Hydrology, 577, art. no. 123959
  45. Valikhan-Anaraki M., Mousavi S.-F., Farzin S., Karami H., Ehteram M., Kisi O., Fai C.M., Hossain M.S., Hayder G., Ahmed A.N., El-Shafie A.H., Bin Hashim H., Afan H.A., Lai S.H., El-Shafie A., Development of a novel hybrid optimization algorithm for minimizing irrigation deficiencies, 2019, Sustainability (Switzerland), 11, 8, 2337,
  46. Yaseen Z.M., Ehteram M., Hossain M.S., Fai C.M., Koting S.B., Mohd N.S., Jaafar W.Z.B., Afan H.A., Hin L.S., Zaini N., Ahmed A.N., El-Shafie A., A novel hybrid evolutionary data-intelligence algorithm for irrigation and power production management: Application to multi-purpose reservoir systems, 2019, Sustainability (Switzerland), 11, 7, 1953, ,
  47. Allawi, M.F., Jaafar, O., Ehteram, M., Mohamad Hamzah, F., El-Shafie, A. Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System (2018) Water Resources Management, 32 (10), pp. 3373-3389. DOI: 10.1007/s11269-018-1996-3
  48. Allawi, M.F., Jaafar, O., Mohamad Hamzah, F., Abdullah, S.M.S., El-shafie, A. Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models (2018) Environmental Science and Pollution Research, 25 (14), pp. 13446-13469. DOI: 10.1007/s11356-018-1867-8
  49. Allawi, M.F., Jaafar, O., Mohamad Hamzah, F., Ehteram, M., Hossain, M.S., El-Shafie, A. Operating a reservoir system based on the shark machine learning algorithm (2018) Environmental Earth Sciences, 77 (10), art. no. 366, . DOI: 10.1007/s12665-018-7546-8
  50. Celeste, A.B. and El-Shafie, A., 2018. Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales. Water Resources Management, 32(11), pp 3751 3763
  51. Diop, L., Bodian, A., Djaman, K., Yaseen, Z.M., Deo, R.C., El-Shafie, A. and Brown, L.C., 2018. The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River. Environmental Earth Sciences, 77(5), p.182.
  52. Ehteram, M., Karami, H., Mousavi, S.F., Farzin, S., Celeste, A.B. and Shafie, A.E., 2018. Reservoir Operation by a New Evolutionary Algorithm: Kidney Algorithm. Water Resources Management, 32(14), pp.4681-4706.
  53. Ehteram, M., Mousavi, S.F., Karami, H., Farzin, S., Singh, V.P., Chau, K.W. and El-Shafie, A., 2018. Reservoir operation based on evolutionary algorithms and multi-criteria decision-making under climate change and uncertainty. Journal of Hydroinformatics, 20(2), pp.332-355.
  54. Ehteram, M., Othman, F.B., Yaseen, Z.M., Afan, H.A., Allawi, M.F., Malek, M.B.A., Ahmed, A.N., Shahid, S., Singh, V.P., El-Shafie, A. Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm (2018) Water (Switzerland), 10 (6), art. no. 807, . DOI: 10.3390/w10060807
  55. Ehteram, M., P Singh, V., Karami, H., Hosseini, K., Dianatikhah, M., Hossain, M., Ming Fai, C. and El-Shafie, A., 2018. Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm. Water, 10(9), p.1267
  56. Farzin, S., Singh, V., Karami, H., Farahani, N., Ehteram, M., Kisi, O., Allawi, M., Mohd, N. and El-Shafie, A., 2018. Flood routing in river reaches using a three-parameter muskingum model coupled with an improved bat algorithm. Water, 10(9), p.1130.
  57. Fiyadh, S.S., AlSaadi, M.A., AlOmar, M.K., Fayaed, S.S., Mjalli, F.S. and El-Shafie, A., 2018. BTPC-Based DES-Functionalized CNTs for A s 3+ Removal from Water: NARX Neural Network Approach. Journal of Environmental Engineering, 144(8), p.04018070.
  58. Fiyadh, S.S., Alsaadi, M.A., Alomar, M.K., Fayaed, S.S., Mjalli, F.S., El-Shafie, A. BTPC-Based DES-Functionalized CNTs for A s 3 + Removal from Water: NARX Neural Network Approach (2018) Journal of Environmental Engineering (United States), 144 (8), art. no. 04018070, . DOI: 10.1061/(ASCE)EE.1943-7870.0001412
  59. Habib, I.A., Mohtar, W.H.M.W., Elsaiad, A. and El-Shafie, A., 2018. Nose-Angle Bridge Piers as Alternative Countermeasures for Local Scour Reduction. The Baltic Journal of Road and Bridge Engineering, 13(2), pp.110-120.
  60. Hamim, A., Yusoff, N.I.M., Ceylan, H., Rosyidi, S.A.P. and El-Shafie, A., 2018. Comparative study on using static and dynamic finite element models to develop FWD measurement on flexible pavement structures. Construction and Building Materials, 176, pp.583-592.
  61. Karami, H., Ehteram, M., Mousavi, S.F., Farzin, S., Kisi, O. and El-Shafie, A., 2018. Optimization of energy management and conversion in the water systems based on evolutionary algorithms. Neural Computing and Applications, pp.1-14.
  62. Keshtegar, B., Baharom, S. and El-Shafie, A., 2018. Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization. Engineering with Computers, 34(1), pp.187-202.
  63. Khan, M., Muhammad, N. and El-Shafie, A., 2018. Wavelet-ANN versus ANN-based model for hydrometeorological drought forecasting. Water, 10(8), p.998.
  64. Khatib, B., Poh, Y. and El-Shafie, A., 2018. Delay Factors in Reconstruction Projects: A Case Study of Mataf Expansion Project. Sustainability, 10(12), p.4772.
  65. Wan Mohtar, W.H.M., Afan, H., El-Shafie, A., Bong, C.H.J. and Ab. Ghani, A., 2018. Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks. Urban Water Journal, pp.1-7.
  66. Yaseen, Z., Ehteram, M., Sharafati, A., Shahid, S., Al-Ansari, N. and El-Shafie, A., 2018. The Integration of Nature-Inspired Algorithms with Least Square Support Vector Regression Models: Application to Modeling River Dissolved Oxygen Concentration. Water, 10(9), p.1124.
  67. Yaseen, Z.M., Fu, M., Wang, C., Mohtar, W.H.M.W., Deo, R.C. and El-Shafie, A., 2018. Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons. Water Resources Management, 32(5), pp.1883-1899.
  68. Yaseen, Z.M., Karami, H., Ehteram, M., Mohd, N.S., Mousavi, S.F., Hin, L.S., Kisi, O., Farzin, S., Kim, S. and El-Shafie, A. 2018. Optimization of reservoir operation using new hybrid algorithm. KSCE Journal of Civil Engineering, 22(11), 4668 - 4680.
  69. Zomorodian, M., Lai, S.H., Homayounfar, M., Ibrahim, S., Fatemi, S.E. and El-Shafie, A., 2018. The state-of-the-art system dynamics application in integrated water resources modeling. Journal of environmental management, 227, pp.294-304.
  70. Afan HA, Keshtegar B, Mohtar WHMW, El-Shafie A. Harmonize input selection for sediment transport prediction. Journal of Hydrology. 2017;552:366-75.
  71. Aljanabi QA, Chik Z, Allawi MF, El-Shafie AH, Ahmed AN, El-Shafie A. Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment. Neural Computing and Applications. 2017:1-11.
  72. Choong SM, El-Shafie A, Wan Mohtar WHM. Optimisation of Multiple Hydropower Reservoir Operation Using Artificial Bee Colony Algorithm. Water Resources Management. 2017;31(4):1397-411.
  73. Ehteram M, Allawi MF, Karami H, Mousavi SF, Emami M, El-Shafie A, et al. Optimization of Chain-Reservoirs Operation with a New Approach in Artificial Intelligence. Water Resources Management. 2017;31(7):2085-104.
  74. Ehteram M, Karami H, Mousavi SF, El-Shafie A, Amini Z. Optimizing dam and reservoirs operation based model utilizing shark algorithm approach. Knowledge-Based Systems. 2017;122:26-38.
  75. Ehteram, M., Mousavi, S.-F, Karami, H, Farzin, S, Emami, M, Binti Othman, F, Amini, Z., Kisi, O., El-Shafie, A.. Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm. Advanced Engineering Informatics. 2017;32:287-98.
  76. Elzwayie A, Afan HA, Allawi MF, El-Shafie A. Heavy metal monitoring, analysis and prediction in lakes and rivers: state of the art. Environmental Science and Pollution Research. 2017;24(13):12104-17.
  77. Elzwayie A, El-shafie A, Yaseen ZM, Afan HA, Allawi MF. RBFNN-based model for heavy metal prediction for different climatic and pollution conditions. Neural Computing and Applications. 2017;28(8):1991-2003.
  78. Faghih M, Mirzaei M, Adamowski J, Lee J, El-Shafie A. Uncertainty Estimation in Flood Inundation Mapping: An Application of Non-parametric Bootstrapping. River Research and Applications. 2017;33(4):611-9.
  79. Fahimi F, Yaseen ZM, El-shafie A. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review. Theoretical and Applied Climatology. 2017;128(3-4):875-903.
  80. Farzad F, El-Shafie AH. Performance Enhancement of Rainfall Pattern Water Level Prediction Model Utilizing Self-Organizing-Map Clustering Method. Water Resources Management. 2017;31(3):945-59.
  81. Keshtegar B, Baharom S, El-Shafie A. Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization. Engineering with Computers. 2017:1-16.
  82. Mohammed Hameed, Saadi Shartooh Sharqi, Zaher Mundher Yaseen, Haitham Abdulmohsin AfanAini Hussain, Ahmed Elshafie, Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia, Neural Comput & Applic (2017) 28(Suppl 1): 893. https://doi.org/10.1007/s00521-016-2404-7
  83. Raheli B, Aalami MT, El-Shafie A, Ghorbani MA, Deo RC. Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River. Environmental Earth Sciences. 2017;76(14).
  84. Sammen SS, Mohamed TA, Ghazali AH, El-Shafie AH, Sidek LM. Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach. Water Resources Management. 2017;31(1):549-62.
  85. Sammen SS, Mohamed TA, Ghazali AH, Sidek LM, El-Shafie A. An evaluation of existent methods for estimation of embankment dam breach parameters. Natural Hazards. 2017;87(1):545-66.
  86. Sayl KN, Muhammad NS, El-Shafie A. Optimization of area volume elevation curve using GIS SRTM method for rainwater harvesting in arid areas. Environmental Earth Sciences. 2017;76(10).
  87. Seef Saadi Fiyadh, Mohammed Abdulhakim AlSaadi, Mohamed Khalid AlOmar, Sabah Saadi Fayaed, Ako R. Hama, Sharifah Bee, Ahmed El-Shafie. The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach, Water Science and Technology, 2017, 76 (9) 2413-2426; DOI: 10.2166/wst.2017.393
  88. Valizadeh, N., Mirzaei, M., Allawi, M.F., Afan, H.A., Mohd, N.S., Hussain, A., El-Shafie, A. 2017. Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: State of the art. Natural Hazards, 1-16.
  89. Yaseen, Z. M., Ebtehaj, I., Bonakdari, H., Deo, R. C., Danandeh Mehr, A., Mohtar, W. H. M. W., Diop, L., El-shafie, A. and Singh, V. P., Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model. Journal of Hydrology. 2017;554:263-76.
  90. Afan HA, El-shafie A, Mohtar WHMW, Yaseen ZM. 2016; Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction. Journal of Hydrology. 541:902-13
  91. Ahmad A, Razali SFM, Mohamed ZS, El-shafie A. 2016, The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization. Water Resources Management. 30(7):2497-2516.
  92. Allawi MF, El-Shafie A. 2016; Utilizing RBF-NN and ANFIS Methods for Multi-Lead ahead Prediction Model of Evaporation from Reservoir. Water Resources Management. 30(13):4773-88.
  93. Elzwayie A, El-shafie A, Yaseen ZM, Afan HA, Allawi MF. 2016, RBFNN-based model for heavy metal prediction for different climatic and pollution conditions. Neural Computing and Applications. 1-13.
  94. Fahimi F, Yaseen ZM, El-shafie A. 2016, Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review. Theoretical and Applied Climatology. :1-29.
  95. Hossain MS, El-Shafie A, Mahzabin MS, Zawawi MH. System performances analysis of reservoir optimization simulation model in application of artificial bee colony algorithm. Neural Computing and Applications. 2016:1-12.
  96. Keshtegar B, Allawi MF, Afan HA, El-Shafie A. 2016; Optimized River Stream-Flow Forecasting Model Utilizing High-Order Response Surface Method. Water Resources Management. 30(11):3899-914.
  97. Mutlib NK, Baharom S, Nuawi MZ, El-Shafie A. 2016, Ultrasonic Surface Wave Monitoring for Steel Fibre-Reinforced Concrete Using Gel-Coupled Piezoceramic Sensors: A Case Study. Arabian Journal for Science and Engineering;41(4):1273-1281.
  98. Nadom Khalifa Mutlib, Shahrizan Bin Baharom, Ahmed El- Sha e and Mohd Zaki Nuawi. 2015. Ultrasonic health monitoring in structural engineering: buildings and bridges. STRUCTURAL CONTROL AND HEALTH MONITORING. 23:409-422
  99. Sayl, K. N., Muhammad, N. S., Yaseen, Z. M., El-shafie, A. 2016. Estimation the Physical Variables of Rainwater Harvesting System Using Integrated GIS-Based Remote Sensing Approach Water Resources Management
  100. Yaseen ZM, El-Shafie A, Afan HA, Hameed M, Mohtar WHMW, Hussain A. RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia. Neural Computing and Applications. 2015.
  101. Yaseen ZM, Jaafar O, Deo RC, Kisi O, Adamowski J, Quilty J, et al. 2016; Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq. Journal of Hydrology. 542:603-14.
  102. Fayaed SS, El-Shafie A, Alsulami HM, Jaafar O, Mukhlisin M, El-Shafie A. Augmentation of an artificial neural network and modified stochastic dynamic programing model for optimal release policy. Hydrology Research. 2015;46(5):689-704
  103. Mirzaei M, Huang YF, El-Shafie A, Chimeh T, Lee J, Vaizadeh N, et al. Uncertainty analysis for extreme flood events in a semi-arid region. Natural Hazards. 2015;78(3):1947-60.
  104. Zaher Mundher Yaseen, Ahmed El-sha e, Othman Jaafar, Haitham Abdulmohsin Afan & Khamis Naba Sayl, 2015. Arti cial intelligence based models for stream- ow forecasting:2000 2015. Journal of Hydrology, 530:829- 844.
  105. Abushammala MFM, Basri NEA, Kadhum AAH, Basri H, El-Shafie AH, Sharifah Mastura SA. Evaluation of methane generation rate and potential from selected landfills in Malaysia. International Journal of Environmental Science and Technology. 2014;11(2):377-84
  106. Afan HA, El-Shafie A, Yaseen ZM, Hameed MM, Wan Mohtar WHM, Hussain A. ANN Based Sediment Prediction Model Utilizing Different Input Scenarios. Water Resources Management. 2014;29(4):1231-45.
  107. Akrami SA, El-Shafie A, Naseri M, Santos CAG. Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy. Neural Computing and Applications. 2014;25(7-8):1853-61
  108. Dorofki M, Elshafie AH, Jaafar O, Karim OA, Abdullah SMS. A GIS-ANN-Based Approach for Enhancing the Effect of Slope in the Modified Green-Ampt Model. Water Resources Management. 2014;28(2):391-406
  109. El-Shafie A, Aminah S. Dynamic versus static artificial neural network model for masonry creep deformation. Proceedings of the Institution of Civil Engineers: Structures and Buildings. 2013;166(7):355-66.
  110. El-Shafie A, El-Shafie AH, Mukhlisin M. New Approach: Integrated Risk-Stochastic Dynamic Model for Dam and Reservoir Optimization. Water Resources Management. 2014;28(8):2093-107
  111. El-Shafie A, Najah A, Alsulami HM, Jahanbani H. Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure. Water Resources Management. 2014;28(4):947-67.
  112. El-Shafie A, Najah A, Karim OA. Amplified wavelet-ANFIS-based model for GPS/INS integration to enhance vehicular navigation system. Neural Computing and Applications. 2014;24(7-8):1905-16
  113. El-Shafie A. Neural network nonlinear modeling for hydrogen production using anaerobic fermentation. Neural Computing and Applications. 2014;24(3-4):539-47
  114. Fahimi F, El-Shafie AH. Comment on "A hybrid model of self organizing maps and least square support vector machine for river flow forecasting" by Ismail et al. (2012). Hydrology and Earth System Sciences. 2014;18(7):2711-4
  115. Hossain MS, El-Shafie A. Evolutionary techniques versus swarm intelligences: Application in reservoir release optimization. Neural Computing and Applications. 2014;24(7-8):1583-94
  116. Hossain MS, El-shafie A. Performance analysis of artificial bee colony (ABC) algorithm in optimizing release policy of Aswan High Dam. Neural Computing and Applications. 2014;24(5):1199-206
  117. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M. Stability assessment of earth slope using modified particle swarm optimization. Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A/Chung-kuo Kung Ch'eng Hsuch K'an. 2014;37(1):79-87.
  118. Mirzaei M, Huang YF, Lee TS, El-Shafie A, Ghazali AH. Quantifying uncertainties associated with depth duration frequency curves. Natural Hazards. 2014;71(2):1227-39.
  119. Najah A, El-Shafie A, Karim OA, El-Shafie AH. Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring. Environmental Science and Pollution Research. 2014;21(3):1658-70.
  120. Valizadeh N, El-Shafie A, Mirzaei M, Galavi H, Mukhlisin M, Jaafar O. Accuracy enhancement for forecasting water levels of reservoirs and river streams using a multiple-input-pattern fuzzification approach. The Scientific World Journal. 2014;2014
  121. Wan Mohtar WHM, Elshafie A. Characteristics of Low Reynolds Number Shear-Free Turbulence at an Impermeable Base. Scientific World Journal. 2014;2014
  122. Zakaria NM, Yusoff NIM, Hardwiyono S, Nayan KAM, El-Shafie A. Measurements of the Stiffness and Thickness of the Pavement Asphalt Layer Using the Enhanced Resonance Search Method. Scientific World Journal. 2014;2014
  123. Abuhabib AA, Ghasemi M, Mohammad AW, Rahman RA, El-Shafie AH. Desalination of Brackish Water Using Nanofiltration: Performance Comparison of Different Membranes. Arabian Journal for Science and Engineering. 2013;38(11):2929-39
  124. Abushammala MFM, Basri NEA, Basri H, Kadhum AAH, El-Shafie AH. Empirical gas emission and oxidation measurement at cover soil of dumping site: Example from Malaysia. Environmental Monitoring and Assessment. 2013;185(6):4919-32
  125. Akrami SA, El-Shafie A, Jaafar O. Improving Rainfall Forecasting Efficiency Using Modified Adaptive Neuro-Fuzzy Inference System (MANFIS). Water Resources Management. 2013;27(9):3507-23
  126. El-Shafie A, Alsulami HM, Jahanbani H, Najah A. Multi-lead ahead prediction model of reference evapotranspiration utilizing ANN with ensemble procedure. Stochastic Environmental Research and Risk Assessment. 2013;27(6):1423-40
  127. Fayaed SS, El-Shafie A, Jaafar O. Adaptive neuro-fuzzy inference system-based model for elevation-surface area-storage interrelationships. Neural Computing and Applications. 2013;22(5):987-98
  128. Fayaed SS, El-Shafie A, Jaafar O. Integrated Artificial Neural Network (ANN) and Stochastic Dynamic Programming (SDP) Model for Optimal Release Policy. Water Resources Management. 2013;27(10):3679-96
  129. Hipni A, El-shafie A, Najah A, Karim OA, Hussain A, Mukhlisin M. Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS). Water Resources Management. 2013;27(10):3803-23
  130. Mirzaei M, Galavi H, Faghih M, Huang YF, Lee TS, El-Shafie A. Model calibration and uncertainty analysis of runoff in the Zayanderood River basin using Generalized Likelihood Uncertainty Estimation (GLUE) method. Journal of Water Supply: Research and Technology - AQUA. 2013;62(5):309-20
  131. Najah A, El-Shafie A, Karim OA, El-Shafie AH. Application of artificial neural networks for water quality prediction. Neural Computing and Applications. 2013;22(SUPPL.1):187-201
  132. Valizadeh N, El-Shafie A. Forecasting the Level of Reservoirs Using Multiple Input Fuzzification in ANFIS. Water Resources Management. 2013;27(9):3319-31
  133. Abuhabib AA, Mohammad AW, Hilal N, Rahman RA, Shafie AH. Nanofiltration membrane modification by UV grafting for salt rejection and fouling resistance improvement for brackish water desalination. Desalination. 2012;295:16-25
  134. Abushammala MFM, Basri NEA, Basri H, Kadhum AAH, El-Shafie AH. Methane and carbon dioxide emissions from Sungai Sedu open dumping during wet season in Malaysia. Ecological Engineering. 2012;49:254-63
  135. El-Shafie A, Noureldin A, McGaughey D, Hussain A. Fast orthogonal search (FOS) versus fast Fourier transform (FFT) as spectral model estimations techniques applied for structural health monitoring (SHM). Structural and Multidisciplinary Optimization. 2012;45(4):503-13
  136. El-Shafie A, Noureldin A, Taha M, Hussain A, Mukhlisin M. Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia. Hydrology and Earth System Sciences. 2012;16(4):1151-69.
  137. El-Shafie AH, El-Shafie A, Almukhtar A, Taha MR, El Mazoghi HG, Shehata A. Radial basis function neural networks for reliably forecasting rainfall. Journal of Water and Climate Change. 2012;3(2):125-38
  138. Khajehzadeh M, Raihan Taha M, El-Shafie A, Eslami M. Locating the general failure surface of earth slope using particle swarm optimisation. Civil Engineering and Environmental Systems. 2012;29(1):41-57.
  139. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M. A modified gravitational search algorithm for slope stability analysis. Engineering Applications of Artificial Intelligence. 2012;25(8):1589-97
  140. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M. Optimization of shallow foundation using gravitational search algorithm. Research Journal of Applied Sciences, Engineering and Technology. 2012;4(9):1124-30
  141. Mukhlisin M, El-Shafie A, Taha MR. Regularized versus non-regularized neural network model for prediction of saturated soil-water content on weathered granite soil formation. Neural Computing and Applications. 2012;21(3):543-53
  142. Mukhlisin M, Saputra A, El-Shafie A, Taha MR. Measurement of dynamic soil water content based on electrochemical capacitance tomography. International Journal of Electrochemical Science. 2012;7(6):5457-66
  143. Najah AA, El-Shafie A, Karim OA, Jaafar O. Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation. Neural Computing and Applications. 2012;21(5):833-41
  144. Najah Ahmed A, El-Shafie A, Karim OA, El-Shafie A. An augmented Wavelet De-noising Technique with Neuro-Fuzzy Inference System for water quality prediction. International Journal of Innovative Computing, Information and Control. 2012;8(10 B):7055-82
  145. Noureldin A, Armstrong J, El-Shafie A, Karamat T, McGaughey D, Korenberg M, et al. Accuracy enhancement of inertial sensors utilizing high resolution spectral analysis. Sensors (Switzerland). 2012;12(9):11638-60
  146. Razavi SV, Jumaat MZ, Ahmed ESH, Mohammadi P. Using generalized regression neural network (GRNN) for mechanical strength prediction of lightweight mortar. Computers and Concrete. 2012;10(4):379-90
  147. Taha MR, Khajehzadeh M, El-Shafie A. Application of particle swarm optimization in evaluating the reliability of soil slope stability analysis. Sains Malaysiana. 2012;41(7):847-54
  148. AbdulRazzaq M, Ariffin AK, El-Shafie A, Abdullah S, Sajuri Z, Akeel NA. Adaptive neural network modelling in fatigue life prediction under load history effects. Advanced Materials Research, 2011. p. 1266-70
  149. Abushammala MFM, Ahmad Basri NE, Basri H, El-Shafie AH, Kadhum AAH. Regional landfills methane emission inventory in Malaysia. Waste Management and Research. 2011;29(8):863-73
  150. Biplob P, Fatihah S, Shahrom Z, Ahmed E. Monitoring and control of a partially packed biological aerated filter (BAF) reactor for improving nitrogen removal efficiency. Journal of Water Reuse and Desalination. 2011;1(3):160-71
  151. Biplob P, Fatihah S, Shahrom Z, Ahmed E. Nitrogen-removal efficiency in an upflow partially packed biological aerated filter (BAF) without backwashing process. Journal of Water Reuse and Desalination. 2011;1(1):27-35
  152. Bubtiena AM, El shafei AH, Jafaar O. Review on statistical based methods of measuring the water pipes reliability. Advanced Materials Research, 2011. p. 1327-31
  153. Bubtiena AM, ElShafie AH, Jaafar O. Performance improvement for pipe breakage prediction modeling using regression method. International Journal of Physical Sciences. 2011;6(25):6025-35
  154. Dorofki M, Elshafie AH, Jaafar O, Karim OA, Abdullah SMS. A GIS-based survey for the optimization of infiltration forecasting models with emphasis on slope effect and land use. International Journal of Physical Sciences. 2011;6(24):5738-51
  155. El-Shafie A, Jaafer O, Seyed A. Adaptive neuro-fuzzy inference system based model for rainfall forecasting in Klang River, Malaysia. International Journal of Physical Sciences. 2011;6(12):2875-88
  156. El-Shafie A, Mukhlisin M, Najah AA, Taha MR. Performance of artificial neural network and regression techniques for rainfall-runoff prediction. International Journal of Physical Sciences. 2011;6(8):1997-2003
  157. El-Shafie A, Noureldin A. Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam. Hydrology and Earth System Sciences. 2011;15(3):841-58
  158. El-Shafie AH, El-Manadely MS. An integrated neural network stochastic dynamic programming model for optimizing the operation policy of Aswan high Dam. Hydrology Research. 2011;42(1):50-67
  159. El-Shafie AH, El-Shafie A, El Mazoghi HG, Shehata A, Taha MR. Artificial neural network technique for rainfall forecasting applied to Alexandria, Egypt. International Journal of Physical Sciences. 2011;6(6):1306-16
  160. Fayaed SS, El-Shafie A, Jaafar O. Performance of artificial neural network and regression techniques for simulation model in reservoir inter-relationships. International Journal of Physical Sciences. 2011;6(34):7738-48
  161. Jahanbani H, El-Shafie AH. Application of artificial neural network in estimating monthly time series reference evapotranspiration with minimum and maximum temperatures. Paddy and Water Environment. 2011;9(2):207-20
  162. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M. A survey on meta-heuristic global optimization algorithms. Research Journal of Applied Sciences, Engineering and Technology. 2011;3(6):569-78
  163. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M. Economic design of foundation using harmony search algorithm. Australian Journal of Basic and Applied Sciences. 2011;5(6):936-43
  164. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M. Modified particle swarm optimization for optimum design of spread footing and retaining wall. Journal of Zhejiang University: Science A. 2011;12(6):415-27
  165. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M. Search for critical failure surface in slope stability analysis by gravitational search algorithm. International Journal of Physical Sciences. 2011;6(21):5012-21
  166. Khajehzadeh M, Taha MR, El-Shafie A. Reliability analysis of earth slopes using hybrid chaotic particle swarm optimization. Journal of Central South University of Technology (English Edition). 2011;18(5):1626-37
  167. Mukhlisin M, Baidillah MR, Taha MR, El-Shafie A. Effect of soil water retention model on slope stability analysis. International Journal of Physical Sciences. 2011;6(19):4629-35
  168. Mukhlisin M, Idris I, Wan Yaacob WZ, ElShafie A, Taha MR. Soil slope deformation behavior in relation to soil water interaction based on centrifuge physical modeling. International Journal of Physical Sciences. 2011;6(13):3126-33
  169. Najah A, El-Shafie A, Karim OA, Jaafar O, El-Shafie AH. An application of different artificial intelligences techniques for water quality prediction. International Journal of Physical Sciences. 2011;6(22):5298-308
  170. Najah A, El-Shafie A, Karim OA, Jaafar O. Integrated versus isolated scenario for prediction dissolved oxygen at progression of water quality monitoring stations. Hydrology and Earth System Sciences. 2011;15(8):2693-708
  171. Noureldin A, El-Shafie A, Bayoumi M. GPS/INS integration utilizing dynamic neural networks for vehicular navigation. Information Fusion. 2011;12(1):48-57
  172. Razavi SV, Jumaat MZ, Ei-Shafie AH, Mohammadi P. Artificial neural networks for mechanical strength prediction of lightweight mortar. Scientific Research and Essays. 2011;6(16):3406-17
  173. Razavi SV, Jumaat MZ, Ei-Shafie AH, Mohammadi P. General regression neural network (GRNN) for the first crack analysis prediction of strengthened RC one-way slab by CFRP. International Journal of Physical Sciences. 2011;6(10):2439-46
  174. Razavi SV, Jumaat MZ, Ei-Shafie AH. Using feed-forward back propagation (FFBP) neural networks for compressive strength prediction of lightweight concrete made with different percentage of scoria instead of sand. International Journal of Physical Sciences. 2011;6(6):1325-31
  175. Sulaiman M, El-Shafie A, Karim O, Basri H. Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network. Water Resources Management. 2011;25(10):2525-41
  176. Valizadeh N, El-Shafie A, Mukhlisin M, El-Shafie AH. Daily water level forecasting using adaptive neuro-fuzzy interface system with different scenarios: Klang Gate, Malaysia. International Journal of Physical Sciences. 2011;6(32):7379-89
  177. Yang HH, Jaafar O, El-Shafie A, Sharifah Mastura SA. Analysis of hydrological processes of Langat river sub basins at Lui and Dengkil. International Journal of Physical Sciences. 2011;6(32):7390-409
  178. Yang HH, Jaafar O, El-Shafie A, Sharifah Mastura SA. Impact of land-use changes toward base-flow regime in Lui and Langat Dengkil sub-basin. International Journal of Physical Sciences. 2011;6(21):4960-76
  179. Abed MM, El-Shafie A, Bt. Osman SA. Creep predicting model in masonry structure utilizing dynamic neural network. Journal of Computer Science. 2010;6(5):597-605
  180. Abushammala MFM, Basn NEA, Basn H, Kadhum AAH, El-Shafie AH. Estimation of methane emission from landfills in Malaysia using the IPCC 2006 FOD model. Journal of Applied Sciences. 2010;10(15):1603-9.
  181. Alalayah WM, Kalil MS, Kadhum AAH, Jahim J, Zaharim A, Alauj NM, et al. Applications of the Box-Wilson design model for bio-hydrogen production using clostridium saccharoperbutylacetonicum N1-4 (ATCC 13564). Pakistan Journal of Biological Sciences. 2010;13(14):674-82
  182. El-Shafie A, Abdelazim T, Noureldin A. Neural network modeling of time-dependent creep deformations in masonry structures. Neural Computing and Applications. 2010;19(4):583-94.
  183. El-Shafie A, Osman A, Noureldin A, Hussain A. Performance evaluation of a non-linear error model for underwater range computation utilizing GPS sonobuoys. Neural Computing and Applications. 2010;19(7):1057-67
  184. Khajehzadeh M, El-Shafie A, Taha MR. Modified particle swarm optimization for probabilistic slope stability analysis. International Journal of Physical Sciences. 2010;5(15):2248-58
  185. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M. Economic design of retaining wall using particle swarm optimization with passive congregation. Australian Journal of Basic and Applied Sciences. 2010;4(11):5500-7
  186. Khajehzadeh M, Taha MR, El-Shafie A. Harmony search algorithm for probabilistic analysis of earth slope. Electronic Journal of Geotechnical Engineering. 2010;15 O:1647-59
  187. Osman AH, Noureldin A, El-Shafie A, McGaughey DR. Fast orthogonal search approach for distance protection of transmission lines. Electric Power Systems Research. 2010;80(2):215-21
  188. Taha MR, Khajehzadeh M, El-Shafie A. Slope stability assessment using optimization techniques: An overview. Electronic Journal of Geotechnical Engineering. 2010;15 R:1901-15
  189. Ahmed AN, Elshafie A, Karim O, Jaffar O. Evaluation the efficiency of Radial Basis Function Neural Network for Prediction of water quality parameters. Engineering Intelligent Systems. 2009;17(4):221-31
  190. El-Shafie A, Abdin AE, Noureldin A, Taha MR. Enhancing inflow forecasting model at aswan high dam utilizing radial basis neural network and upstream monitoring stations measurements. Water Resources Management. 2009;23(11):2289-315
  191. El-Shafie A, Noureldin A, Taha MR, Hussain A, Basri H. Performance enhancement for masonry creep predicting model using recurrent neural networks. Engineering Intelligent Systems. 2009;17(1):29-38
  192. El-Shafie A, Osman A, Noureldin A, Hussain A. Performance enhancement of underwater target tracking by fusing data of array of global positioning system sonobuoys. Journal of Computer Science. 2009;5(3):199-206
  193. Elshafie A, Karim O, Taha MR. Non-Linear prediction model for scour and air entrainment based static neural network approach. European Journal of Scientific Research. 2009;27(3):400-16
  194. Najah A, Elshafie A, Karim OA, Jaffar O. Prediction of johor river water quality parameters using artificial neural networks. European Journal of Scientific Research. 2009;28(3):422-35
  195. Noureldin A, Karamat TB, Eberts MD, El-Shafie A. Performance enhancement of MEMS-based INS/GPS integration for low-cost navigation applications. IEEE Transactions on Vehicular Technology. 2009;58(3):1077-96
  196. El-Shafie A, Noureldin AE, Taha MR, Basri H. Neural network model for Nile River inflow forecasting based on correlation analysis of historical inflow data. Journal of Applied Sciences. 2008;8(24):4487-99
  197. El-Shafie A, Taha MR, Noureldin A. A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam. Water Resources Management. 2007;21(3):533-56
  198. Noureldin A, El-Shafie A, El-Sheimy N. Adaptive neuro-fuzzy module for inertial navigation system/global positioning system integration utilising position and velocity updates with real-time cross-validation. IET Radar, Sonar and Navigation. 2007;1(5):388-96
Books
  1. Claudio Rocha, Fernando Akune, Ahmed El-shafie, Artificial Intelligence and Hybrid Systems, CreateSpace Independent Publishing Platform, , ISBN-13: 978-1477554739 2013
  2. Ahmed El-Shafie, Dam and Reservoir Optimization Model; Aswan High Dam Reservoir, Egypt SDP_NN Model For Optimizing Dam Operation, LAP Lambert Academic Publishing (Germany) ISBN-13:978-3-8473-2968-8
  3. Mohammad Khajehzadeh, Mohd Raihan Taha, and Ahmed El-shafie. Deterministic and Probabilistic Analysis of Earth Slope: Employing Gravitational Search Algorithm, LAP LAMBERT Academic Publishing
  4. Mohd Raihan Taha, Mohammad Khajehzadeh and Ahmed El-shafie. Earth Slope Stability Assessment: Employing Particle Swarm Optimization. LAP LAMBERT Academic Publishing, 2012
  5. Ali Najah, Ahmed El-Shafie and Othman A. Karim. PREDICTION OF JOHOR RIVER WATER QUALITY PARAMETERS UTILIZING ARTIFICIAL NEURAL NETWORKS. Lambert Academic Publishing - LAP (GERMANY). ISBN: 978-3-8473-1203-1
Other Publications
  1. Mirzaei M, Huang YF, El-Shafie A, Shatirah A.2015; Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: a review. Stochastic Environmental Research and Risk Assessment. 29(5):1265-73. - Review
  2. Ahmad A, El-Shafie A, Mohd Razali SF, Mohamad ZS, 2014; Reservoir optimization in water resources: A review. Water Resources Management. 28(11):3391-405. - Review
  3. Choong SM, El-Shafie A. 2014; State-of-the-Art for Modelling Reservoir Inflows and Management Optimization. Water Resources Management. 29(4):1267-82. - Review
  4. Fayaed SS, El-Shafie A, Jaafar O. 2013; Reservoir-system simulation and optimization techniques. Stochastic Environmental Research and Risk Assessment. 27(7):1751-72 - Review
  5. Hossain MS, El-shafie A. 2013; Intelligent Systems in Optimizing Reservoir Operation Policy: A Review. Water Resources Management. 27(9):3387-407. - Review
  6. Bubtiena AM, El Shafei AH, Jafaar O. 2012 Review of rehabilitation strategies for water distribution pipes. Journal of Water Supply: Research and Technology - AQUA. ;61(1):23-31. - Review
  7. Faez Hassan H, El-Shafie A, Karim OA. 2012, Tidal current turbines glance at the past and look into future prospects in Malaysia. Renewable and Sustainable Energy Reviews. ;16(8):5707-17. - Review

RESEARCH PROJECT

National
  1. 2019 - 2021, Private Funding
    Implementing of Machine learning for better reservoir operation under climate change ( Coordinator)
  2. 2020 - 2021, Others MOHE
    Groundwater Level Prediction Using An Integrated Machine Learning Model With Advanced Optimizers ( Consultant)
  3. 2019 - 2021, Fundamental Research Grant Scheme (FRGS)
    Deep Learning Model for Optimal Reservoir Operation in Response to Regional Hydrologic Impacts of Climate Change ( Consultant)
  4. 2018 - 2020, Geran Penyelidikan Universiti Malaya (UMRG)
    The Application of Artificial Intelligence (Ai) In Forecasting Streamflow, Water Quality and Sediment Transport of Malaysian River Basins ( Director)
  5. 2018 - 2020, RU Operation
    Generating Optimal Dam and Reservoir Operation Rules for Minimizing Water Supply-Demand Gaps Pattern Utilizing Advanced Evolutionary Computing Optimization Algorithm ( Director)
  6. 2019 - 2020, Others MOHE
    An Assessment on Potential Environmental and Socio-Economic Impact of Biofuel Production in Malaysia ( Consultant)
  7. 2019 - 2020, Others MOHE
    Bat Algorithm for Reservoir Power Production Based Adaption and Non-Adaption Rule Curves for Current and Future Period Under Climate Change ( Consultant)
  8. 2019 - 2020, Others MOHE
    An Augmented Genetic Programming and Genetic Optimization Algorithm Model for Solar Radiation Prediction for Better Renewable Energy Efficiency ( Consultant)
International
  1. 2020 - 2022, International Funding
    A Generalized Soft Computing Model for Groundwater Levels and Quality in Arid and Tropical Zones ( Principal Investigator(PI))
  2. 2019 - 2021, International Funding
    IoT Based River Quality Monitoring And Parameter Prediction Using Artificial Intelligence ( Consultant)
  3. 2019 - 2021, International Funding
    Earthquake Detection With Artificial Intelligence Modeling ( Consultant)

CONSULTANCY PROJECT

  • A Generalized Soft Computing Model for Groundwater Levels and Quality in Arid and Tropical Zones, United Arab Emirates University
    01 Nov 2020 - 01 Nov 2022 (International)
  • Implementing Machine Learning for Better Reservoir Operation Under Climate Change, university Tenaga Nasional
    01 Nov 2020 - 01 Nov 2021 (National)
  • Invitation to Collaborate On Smart Groundwater Management System (Sgms) Project, JZR Resources Sdn. Bhd.
    01 Dec 2018 - 01 Dec 2020 (National)
  • Referee, University Kebangsaan Malaysia
    01 Dec 2018 - 01 Dec 2019 (National)
  • Member Expertise Committee, University Kebangsaan Malaysia
    01 Dec 2019 - 01 Dec 2019 (National)
  • Honorable Invitation as a Speaker At Fkum Undergraduate Research Fellowship Bootcamp : Nurturing Research Passion, University of Malaya
    01 Dec 2019 - 01 Dec 2019 (National)
  • Frgs Evaluation Panel, University of Malaya
    01 Dec 2019 - 01 Dec 2019 (National)
  • Water Resources Optimization & Forecasting Course, University Tenaga National
    01 Dec 2018 - 01 Dec 2018 (National)
  • 4th International Conference On Fuzzy Systems and Data Mining, FSDM
    01 Dec 2018 - 01 Dec 2018 (International)
  • Hydrological Model for Ungauged Station, University of Malaya
    01 Dec 2018 - 01 Dec 2018 (National)
  • Concet Conference 2018, University of Malaya
    01 Dec 2017 - 01 Dec 2018 (National)
  • Team Leader, Humod Mosad Counsltant Engineering
    01 Jun 2013 - 01 Jun 2014 (International)
  • Consulting Services for Establishing Mis At Pcu, Cwmu and At Mai Provincial Offices (17 IAS), Yemen, Misr Engineering Consultant, World Bank
    01 Dec 2006 - 01 Dec 2006 (International)

ACADEMIC/PROF. SERVICES

Evaluation
  1. (2023) Promotion Assessor, National, (External Assessor)
  2. (2023) Evaluation, International, (Reviewer)
  3. (2023) Evaluation, International, (Reviewer)
  4. (2023) Evaluation, International, (Reviewer)
  5. (2023) Promotion Assessor, International, (External Assessor)
  6. (2023) Promotion Assessor, National, (External Assessor)
  7. (2019) PhD thesis, (External Examiner)
  8. (2019) Evaluate the promotion files for potential candidate , (Advisory Committee)
  9. (2019) PhD thesis, (External Examiner)
  10. (2019) 5th International Conference on Energy and Environment 2019 (ICEE 2019), (Reviewer)
  11. (2019) INTERNATIONAL GRADUATE CONFERENCE ON ENERGY, ENGINEERING, TECHNOLOGY & BUSINESS MANAGEMENT (iGRAD) 2019 , (Reviewer)
  12. (2019) Editor for the proceeding, (Editor)
  13. (2018) Evaluate FRGS proposal , (Internal Examiner)
  14. (2009) Water Resources Management Journal Journal of Hydrology Hydrology and Earth System Science Computer and Electronics in Agriculture Engineering Applications of Artificial Intelligence Neural Computing and its Applications Stochastic Environmental Research and Risk Assessment , (Reviewer)
Contribution to external organisation
  1. (2020) Adjunct Professor, United Arab Emirates University, International
  2. (2020) Adjunct professor, United Arab Emirates University
  3. (2019) Visiting Fellow, United Arab Emirate University, International
  4. (2019) Honorary, Ministry of Higher Teaching and Scientific Research, Democratic Republic of Algeria, International
  5. (2019) Expert Committee, University Kebangsaan Malaysia
  6. (2019) Speaker, University of Malaya
  7. (2018) Committee Member, International Conference on Fuzzy Systems and Data Mining (FSDM 2018), International

SUPERVISION

Postgraduate Student
PhD/ Doctoral
  1. (2021) Intelligent (Smart) Dam and Reservoir System Operation Based Machine Learning and Meta-Heuristics Model, Mohammad Abdullah Abid Almubaidin (Universiti Tenaga Nasional)
  2. (2021) Adopting Enhanced Optimization Algorithms in Optimizing Reservoir Operation Policy, Michelle Sapitang (Universiti Tenaga Nasional)
  3. (2020) Deep Learning and Various Machine Learning Algorithms for Rainfall-Runoff Modelling, Ridwaniyah Binti Mohd Ridwan (Universiti Tenaga Nasional)
  4. (2018) REMOVAL OF HEAVY METALS FROM WATER BY FUNCTONALIZED CARBON NANOTUBES WITH DEEP EUTECTIC SOLVENTS: ARTIFICIAL NEURAL NETWORK APPROACHES, SEEF SAADI FIYADH
  5. (2018) Optimizing Dam Operation Rule utilizing Meta-heuristic Model, Fatimah Bibi Hamzah
  6. (2018) Development of Soft Computing Model for Rainfall-Runoff Pattern, Rohaiza Zakaria
  7. (2018) DEVELOPMENT OF A MULTI CRITARIA DECISION SUPPORT SYSTEM (MCDSS) FOR DROUGHT AND FLOOD MANAGEMENT IN MALAYSIA, CHONG KAI LUN
  8. (2018) AL-HARAM AL-MAKKI PROJECTS: STUDYING AND ANALYSIS TIME OVERRUN FACTORS, BASEM ADNAN AL KHATIB
  9. (2017) SYNTHESIS OF ACTIVATED CARBON IMPREGNATED CARBON NANOTUBES FOR DESALINATION MEMBRANE TECHNOLGY, SEEF SAADI FIYADH
  10. (2017) Shark Machine Learning Algorithm versus Genetic Algorithm for Optimization and Simulation Reservoir Operation, Mohammed Fallah Allawi
  11. (2017) A REAL-TIME MULTI-OBJECTIVE RESERVOIR OPERATION OPTIMIZATION MODEL, MOZAFAR ANSARI
  12. (2015) Water quality prediction Model utilizing Support Vector Machine, Afiq Bin Hipni (M0100101)
  13. (2015) Wastewater treatement Model Reactor, Abdulhadi Alsarrar (M0100101)
  14. (2015) Ultrasonic Surface Wave Monitoring for Steel Fibre-Reinforced Concrete Using Gel-Coupled Piezoceramic Sensors, Nadom Khalifa Mutlib (M0100101)
  15. (2015) stream Flow Forecasting Model Utilizing ANN, Zaher Mundher (M0100101)
  16. (2015) Spatial and temporal measurement of local scour around bridge piers in cohesive-like sediment, Mojataba Porhemmat (M0100101)
  17. (2015) Self-Protected Bridge Piers using Slotted Epoxidised Natural Rubber Alumina (ENRAN) for Local Scour Reduction, Ibtesam Abduallah (M0100101)
  18. (2015) Reactor Modifications for better Wastewater Treatement, Khalid Alansari (M0100101)
  19. (2015) Optimizing Dam Operation Utilizing ABC Under Different Climate Change Conditions, Asmadi Bin Ahmed (M0100101)
  20. (2015) Optimized water Resources for Epherate River Basin, Ahmad Danboos (M0100101)
  21. (2015) New Design criterian For Highway Drainage System, Mohammad Salam (M0100101)
  22. (2015) Heavy Metal Prediction for Aquatic Environment For Different Climate and Pollution Conditions Utilizing AI Model, Adnan Ali Elzwayie (M0100101)
  23. (2015) GIS-ANN for Infiltration Model in Tropical Environment, Mohammad Rostami Nia (M0100101)
  24. (2015) Evaportranspiration Model Utilizing Ensemble Neural Network, Alsulami Humod Mosad (M0100101)
  25. (2015) Estimation the Physical Variables of Rainwater Harvesting System Using Integrated GIS-Based Remote Sensing Approach, Khamis Naba Sayl (M0100101)
  26. (2015) Development of Optimum model for Urban Multiple Water Supply and Distribution Systems with concentration on kinds of demands, Farzad Fahimi (M0100101)
  27. (2015) Dam optimiziation utilizing ABC Model, Choong Shi Mei (M0100101)
  28. (2013) Optimizing Water Supply Pattern Using Genetic Algorithm, Abdel Wahab M. A (M0100101)
  29. (2013) Optimization Model for Klang gate Operation Policy utilizing Genetic Algorithm, Md. Shabbir Hossain (M0100101)
  30. (2013) Optimal Operation of Water Supply Reservoir Through Augmented ANN-MSDP Model, Sabah Fayeed (M0100101)
  31. (2013) Frequency Analysis for Klang River Basin Rainfall Using Wavelet, Seyed Ahmad Akrami (M0100101)
  32. (2013) Advanced AI Model for Sediment Prediction, Haitham Abdulmohsin Afan (M0100101)
  33. (2012) Reliability studies of fatigue crack closure using stochastic finite element method., Mohammed Abdulrazzaq Abbood (M0100101)
  34. (2012) Rainfall And Stream Flow Forecasting Utilizing Adaptive Neuro-Fuzzy Inference System., Muhammad @ S A Khushren Bin Sulaiman (M0100101)
  35. (2012) Nanofiltration of Brackish Water : Fouling and Performance Studies, Azzam A.M.Abuhabib (M0100101)
  36. (2012) Biogas Emission Prediction Model in Tropical Environment, Mohammad Abushamalah (M0100101)
  37. (2012) Artificial Intelligent Model For Water Quality Prediction At Johor River, Ali Najah (M0100101)
  38. (2012) Application Of New Optimization Techniques For Geotechnical Structures, Mohammad Khajehzadeh Ravizi (M0100101)
  39. (2010) Hydrogen Production by Clostridium SP in Batch Reactor, Waled Mohammed Abdullah (M0100101)

TEACHING

Bachelor
  1. (2022) KID4005 - Advanced Hydrology Engineering
  2. (2022) KIA2003 - Fluid Mechanics
  3. (2022) KIX3001 - Integrated Design 2
  4. (2022) KIX2001 - Integrated Design I
  5. (2022) KIA2008 - Laboratory B (Environmental and Water Engineering)
  6. (2022) KIA2005 - Water Resources
  7. (2021) KID4005 - Advanced Hydrology Engineering
  8. (2021) KIA2003 - Fluid Mechanics
  9. (2021) KIX2001 - Integrated Design I
  10. (2020) KID4005 - Advanced Hydrology Engineering
  11. (2020) KIA4002 - Capstone Design Project
  12. (2020) KIX3001 - Integrated Design 2
  13. (2020) KIA2008 - Laboratory B (Environmental and Water Engineering)
  14. (2019) KIA2003 - Fluid Mechanics
  15. (2017) KIA1001 - Drawing for Engineering and Computer Programing
  16. (2017) KIA1001 - Drawing for Engineering and Computer Program
  17. (2017) KIA2003 - Fluid Mechanics
  18. (2016) KAEA1151 - Fluid Mechanics
  19. (2016) KAEA2101 - Computer Programing
  20. (2016) KAEA4283 - Integrated Design
  21. (2016) KAEA4357 - Surface Water Hydrology
  22. (2016) KAEA4357 - Surface Water Hydrology
  23. (2015) KAEA1151 - Fluid Mechanics
  24. (2015) KAEA2101 - Computer Programming

SOCIAL RESPONSIBILITY ACTIVITIES

  • Member of Scientific Committee, (01 Sep 2021 - 24 Mar 2022) (International)
  • Special Talk, (20 Feb 2018 - 20 Feb 2018)
  • Flow-3d Introduction Meeting, (30 Jan 2018 - 30 Jan 2018)