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Ali Najah Ahmed

Ali Najah Ahmed

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
10337
World Ranking
2553
National Ranking
31

Overview

Ali Najah Ahmed is affiliated with Sunway University in Malaysia and has contributed extensively to fields related to environmental science and engineering. Their research covers a broad spectrum of topics focused on hydrology, environmental monitoring, and optimization within water and air resources management.

Their main fields of study include:

  • Environmental Science
  • Engineering

Within these fields, their work spans several subfields, notably:

  • Environmental Engineering
  • Water Science and Technology
  • Global and Planetary Change
  • Electrical and Electronic Engineering
  • Civil and Structural Engineering

The primary research topics addressed in their publications include:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Energy Load and Power Forecasting
  • Water resources management and optimization
  • Water Quality Monitoring Technologies
  • Air Quality Monitoring and Forecasting

Among their recent papers are the following publications:

  • Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia, 2021, Ain Shams Engineering Journal
  • Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia, 2020, Ain Shams Engineering Journal
  • A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations, 2022, Ain Shams Engineering Journal
  • A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting, 2021, Alexandria Engineering Journal
  • Air quality status during 2020 Malaysia Movement Control Order (MCO) due to 2019 novel coronavirus (2019-nCoV) pandemic, 2020, The Science of The Total Environment

Collaborations appear frequently with several co-authors, including:

  • Ahmed El-Shafie
  • Yuk Feng Huang
  • Mohsen Sherif
  • Sarmad Dashti Latif
  • Mohammad Ehteram

Their works are commonly published in venues such as:

  • Ain Shams Engineering Journal
  • Scientific Reports
  • Engineering Applications of Computational Fluid Mechanics
  • Water Resources Management
  • Applied Water Science

In addition to journal articles, Ali Najah Ahmed has contributed to book publications, notably with Springer Nature. One example includes the "Proceedings of the 2nd International Conference on Dam Safety Management and Engineering" published in 2023.

Best Publications

  • Machine learning methods for better water quality prediction

    Ali Najah Ahmed;Faridah Binti Othman;Haitham Abdulmohsin Afan;Rusul Khaleel Ibrahim

  • Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

    Ahmedbahaaaldin Ibrahem Ahmed Osman;Ali Najah Ahmed;Ming Fai Chow;Yuk Feng Huang

  • A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations

    Unknown

  • Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm

    Yazid Tikhamarine;Doudja Souag-Gamane;Ali Najah Ahmed;Ozgur Kisi

  • Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

    Wanie M. Ridwan;Michelle Sapitang;Awatif Aziz;Khairul Faizal Kushiar

  • A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

    Karim Sherif Mostafa Hassan Ibrahim;Yuk Feng Huang;Ali Najah Ahmed;Chai Hoon Koo

  • Air quality status during 2020 Malaysia Movement Control Order (MCO) due to 2019 novel coronavirus (2019-nCoV) pandemic

    Samsuri Abdullah;Amalina Abu Mansor;Nur Nazmi Liyana Mohd Napi;Wan Nurdiyana Wan Mansor

  • Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios

    Abobakr Saeed Abobakr Yahya;Ali Najah Ahmed;Faridah Binti Othman;Rusul Khaleel Ibrahim

  • Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization

    Yazid Tikhamarine;Doudja Souag-Gamane;Ali Najah Ahmed;Saad Sh. Sammen

  • Predicting compressive strength of high-performance concrete with high volume ground granulated blast-furnace slag replacement using boosting machine learning algorithms

    Unknown

  • Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index

    Sani Isah Abba;Quoc Bao Pham;Gaurav Saini;Nguyen Thi Thuy Linh

  • A systematic literature review of deep learning neural network for time series air quality forecasting

    Nur'atiah Zaini;Lee Woen Ean;Ali Najah Ahmed;Marlinda Abdul Malek

  • Towards a time and cost effective approach to water quality index class prediction

    Jun Yung Ho;Haitham Abdulmohsin Afan;Amr H. El-Shafie;Suhana Binti Koting

  • Advanced machine learning model for better prediction accuracy of soil temperature at different depths

    Meysam Alizamir;Ozgur Kisi;Ali Najah Ahmed;Cihan Mert

  • Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques

    Haitham Abdulmohsin Afan;Ahmedbahaaaldin Ibrahem Ahmed Osman;Yusuf Essam;Ali Najah Ahmed

  • Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia.

    Marwah Sattar Hanoon;Ali Najah Ahmed;Nur’atiah Zaini;Arif Razzaq

  • Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy

    Michelle Sapitang;Wanie M. Ridwan;Khairul Faizal Kushiar;Ali Najah Ahmed

  • Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia

    Ellysia Jumin;Faridah Bte Basaruddin;Yuzainee Bte. Md Yusoff;Sarmad Dashti Latif

  • A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem

    Ali Najah Ahmed;To Van Lam;Nguyen Duy Hung;Nguyen Van Thieu

  • Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction

    Ellysia Jumin;Nuratiah Zaini;Ali Najah Ahmed;Samsuri Abdullah

  • Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

    Babak Mohammadi;Nguyen Thi Thuy Linh;Nguyen Thi Thuy Linh;Quoc Bao Pham;Ali Najah Ahmed

  • Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm

    Fatemeh Barzegari Banadkooki;Mohammad Ehteram;Ali Najah Ahmed;Fang Yenn Teo

  • Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm

    Fatemeh Barzegari Banadkooki;Mohammad Ehteram;Ali Najah Ahmed;Fang Yenn Teo

Frequent Co-Authors

Ahmed El-Shafie
Ahmed El-Shafie United Arab Emirates University
Ozgur Kisi
Ozgur Kisi Technical University of Applied Sciences Lübeck
Vijay P. Singh
Vijay P. Singh Texas A&M University
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Amir Mosavi
Amir Mosavi Óbuda University
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Shamsuddin Shahid
Shamsuddin Shahid University of Technology Malaysia
Aboelmagd Noureldin
Aboelmagd Noureldin Royal Military College of Canada
Sinan Q. Salih
Sinan Q. Salih IEEE Computer Society
Haoyuan Hong
Haoyuan Hong Nanjing University of Information Science and Technology

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