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Engineering and Technology

D-Index
43
Citations
4308
World Ranking
6346
National Ranking
91

Overview

Mohammad Najafzadeh is affiliated with the Graduate University of Advanced Technology in Iran. Their research predominantly spans the fields of Environmental Science and Engineering, with a focus on subfields such as Civil and Structural Engineering, Ecology, Environmental Engineering, Water Science and Technology, and Global and Planetary Change.

Their work covers several main topics including Hydraulic flow and structures, Hydrology and Sediment Transport Processes, Dam Engineering and Safety, Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Water Quality and Pollution Assessment, and Water Systems and Optimization.

Najafzadeh has contributed to the academic literature through multiple papers, some of the recent ones being:

  • Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models, 2021, Artificial Intelligence Review
  • A Novel Multiple-Kernel Support Vector Regression Algorithm for Estimation of Water Quality Parameters, 2021, Natural Resources Research
  • Flood monitoring by integration of Remote Sensing technique and Multi-Criteria Decision Making method, 2022, Computers & Geosciences
  • Flood Risk Mapping by Remote Sensing Data and Random Forest Technique, 2021, Water
  • Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine Conceptions, 2020, Water Resources Management

Frequent co-authors collaborating with Najafzadeh include:

  • Mohammad Mahmoudi-Rad
  • Giuseppe Oliveto
  • Farshad Homaei
  • Sajad Basirian
  • Farid Saberi-Movahed

The main publication venues where Najafzadeh's work appears repeatedly are:

  • Water
  • Results in Engineering
  • Ocean Engineering
  • Shenakht Journal of Psychology and Psychiatry
  • Water Resources Management

In addition to journal articles, Najafzadeh has contributed to book publications, including a title published by the American Society of Civil Engineers entitled "Scouring at Bridge Piers Using Artificial Intelligence Models," scheduled for 2025.

Best Publications

  • Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine Conceptions

    Farid Saberi-Movahed;Mohammad Najafzadeh;Adel Mehrpooya

  • Scour prediction in long contractions using ANFIS and SVM

    Mohammad Najafzadeh;Amir Etemad-Shahidi;Siow Yong Lim

  • Flood Risk Mapping by Remote Sensing Data and Random Forest Technique

    Hadi Farhadi;Mohammad Najafzadeh

  • Neuro-Fuzzy GMDH to Predict the Scour Pile Groups due to Waves

    Mohammad Najafzadeh;Hazi Mohammad Azamathulla

  • Comparison of group method of data handling based genetic programming and back propagation systems to predict scour depth around bridge piers

    M. Najafzadeh;Gh.-A. Barani

  • Prediction of maximum scour depth around piers with debris accumulation using EPR, MT, and GEP models

    Mohammad Najafzadeh;Mohammad Rezaie Balf;Esmat Rashedi

  • GMDH to predict scour depth around a pier in cohesive soils

    Mohammad Najafzadeh;Gholam-Abbas Barani;Hazi Mohammad Azamathulla

  • Techno-economic estimation of a non-cover box solar still with thermoelectric and antiseptic nanofluid using machine learning models

    Unknown

  • Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers

    Mohammad Najafzadeh;Ali Tafarojnoruz

  • Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods.

    Mohammad Najafzadeh;Alireza Ghaemi

  • NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects

    Mohammad Najafzadeh;Farid Saberi-Movahed;Saeed Sarkamaryan

  • Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates

    Mohammad Najafzadeh;Siow Yong Lim

  • Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models

    Mohammad Najafzadeh;Farshad Homaei;Hadi Farhadi

  • GMDH-GEP to predict free span expansion rates below pipelines under waves

    Mohammad Najafzadeh;Farid Saberi-Movahed

  • A Novel Multiple-Kernel Support Vector Regression Algorithm for Estimation of Water Quality Parameters

    Mohammad Najafzadeh;Saeid Niazmardi

  • Prediction of water quality parameters using evolutionary computing-based formulations

    M. Najafzadeh;A. Ghaemi;S. Emamgholizadeh

  • GMDH based back propagation algorithm to predict abutment scour in cohesive soils

    Mohammad Najafzadeh;Gholam-Abbas Barani;Masoud Reza Hessami Kermani

  • Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling

    Mohammad Najafzadeh;Gholam-Abbas Barani;Hazi Mohammad Azamathulla

  • Group method of data handling to predict scour depth around bridge piers

    Mohammad Najafzadeh;Hazi Mohammad Azamathulla

  • Neuro-fuzzy GMDH systems based evolutionary algorithms to predict scour pile groups in clear water conditions

    Mohammad Najafzadeh

  • Neuro-Fuzzy GMDH Approach to Predict Longitudinal Dispersion in Water Networks

    Mohammad Najafzadeh;Ahmed M. A. Sattar

  • Neuro-Fuzzy GMDH-Based Evolutionary Algorithms to Predict Flow Discharge in Straight Compound Channels

    Mohammad Najafzadeh;Abdolreza Zahiri

Frequent Co-Authors

Jalal Shiri
Jalal Shiri University of Tabriz
Bjørn Kløve
Bjørn Kløve University of Oulu
Amir Etemad-Shahidi
Amir Etemad-Shahidi Griffith University
Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Mehran Ameri
Mehran Ameri Shahid Bahonar University of Kerman

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