World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
46
Citations
5428
World Ranking
431
National Ranking
12

Engineering and Technology

D-Index
51
Citations
6160
World Ranking
3981
National Ranking
160

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Isa Ebtehaj is affiliated with Université Laval in Canada and specializes in environmental science and engineering with a notable focus on hydrological studies. Their research covers a range of topics including hydrological forecasting using artificial intelligence, watershed management, hydraulic structures, flood risk assessment, and sediment transport processes.

The scientist's body of work spans multiple subfields such as environmental engineering, global and planetary change, water science and technology, artificial intelligence, and civil and structural engineering.

Key topics in Isa Ebtehaj's research include:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Hydraulic flow and structures
  • Flood Risk Assessment and Management
  • Machine Learning and ELM
  • Hydrology and Sediment Transport Processes
  • Hydrology and Drought Analysis

Their research has been published extensively in several scientific venues, with frequent contributions to:

  • Journal of Hydrologic Engineering
  • Journal of Irrigation and Drainage Engineering
  • Journal of Hydrology
  • Hydrology
  • The Science of The Total Environment

Isa Ebtehaj has collaborated regularly with several co-authors including Hossein Bonakdari, Bahram Gharabaghi, Silvio José Gumière, Joseph D. Ladouceur, and Afshin Amiri. These collaborations have contributed to a dynamic research network within the environmental and engineering domains.

Recent published papers highlight the diverse scope of their work:

  • "Mapping the spatial and temporal variability of flood susceptibility using remotely sensed normalized difference vegetation index and the forecasted changes in the future", 2021, The Science of The Total Environment
  • "Prediction of daily water level using new hybridized GS-GMDH and ANFIS-FCM models", 2021, Engineering Applications of Computational Fluid Mechanics
  • "A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems", 2024, Journal of Hydrology
  • "Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments", 2020, Hydrological Sciences Journal
  • "Development of a linear based stochastic model for daily soil temperature prediction: One step forward to sustainable agriculture", 2020, Computers and Electronics in Agriculture

Best Publications

  • Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

    Zaher Mundher Yaseen;Zaher Mundher Yaseen;Isa Ebtehaj;Hossein Bonakdari;Ravinesh C. Deo

  • Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point

    Mohammad Ali Ghorbani;Mohammad Ali Ghorbani;Shahaboddin Shamshirband;Davoud Zare Haghi;Atefe Azani

  • GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs

    Isa Ebtehaj;Hossein Bonakdari;Amir Hossein Zaji;Hamed Azimi

  • Gene expression programming to predict the discharge coefficient in rectangular side weirs

    Isa Ebtehaj;Hossein Bonakdari;Amir Hossein Zaji;Hamed Azimi

  • EVALUATION OF SEDIMENT TRANSPORT IN SEWER USING ARTIFICIAL NEURAL NETWORK

    Isa Ebtehaj;Hossein Bonakdari

  • Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

    Zaher Mundher Yaseen;Zaher Mundher Yaseen;Mazen Ismaeel Ghareb;Isa Ebtehaj;Hossein Bonakdari

  • Performance Evaluation of Adaptive Neural Fuzzy Inference System for Sediment Transport in Sewers

    Isa Ebtehaj;Hossein Bonakdari

  • An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition

    Isa Ebtehaj;Hossein Bonakdari;Fatemeh Moradi;Bahram Gharabaghi

  • Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology.

    Khadije Lotfi;Hossein Bonakdari;Isa Ebtehaj;Farouq S. Mjalli

  • Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis

    Zaher Mundher Yaseen;Isa Ebtehaj;Sungwon Kim;Hadi Sanikhani

  • Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design

    Saba Shaghaghi;Hossein Bonakdari;Azadeh Gholami;Isa Ebtehaj

  • Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region

    Zaher Mundher Yaseen;Wan Hanna Melini Wan Mohtar;Ameen Mohammed Salih Ameen;Isa Ebtehaj

  • Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs

    Fatemeh Khoshbin;Hossein Bonakdari;Seyed Hamed Ashraf Talesh;Isa Ebtehaj

  • Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate.

    Mohammad Zeynoddin;Hossein Bonakdari;Arash Azari;Isa Ebtehaj

  • Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling

    Isa Ebtehaj;Hossein Bonakdari;Bahram Gharabaghi

  • Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices

    Isa Ebtehaj;Hossein Bonakdari;Fatemeh Khoshbin;Hamed Azimi

  • Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine

    Hossein Bonakdari;Isa Ebtehaj;Pijush Samui;Bahram Gharabaghi

  • Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel

    Hamed Azimi;Hossein Bonakdari;Isa Ebtehaj

  • A reliable linear stochastic daily soil temperature forecast model

    Mohammad Zeynoddin;Hossein Bonakdari;Isa Ebtehaj;Fatemeh Esmaeilbeiki

  • Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser approach sensing

    Azadeh Gholami;Hossein Bonakdari;Isa Ebtehaj;Majid Mohammadian

  • Extreme learning machine assessment for estimating sediment transport in open channels

    Isa Ebtehaj;Hossein Bonakdari;Shahaboddin Shamshirband

  • Design criteria for sediment transport in sewers based on self-cleansing concept

    Isa Ebtehaj;Hossein Bonakdari;Ali Sharifi

Frequent Co-Authors

Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Bahram Gharabaghi
Bahram Gharabaghi University of Guelph
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Amir Mosavi
Amir Mosavi Óbuda University
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Ali Akbar Zinatizadeh
Ali Akbar Zinatizadeh Razi University
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Shamsuddin Shahid
Shamsuddin Shahid University of Technology Malaysia
Pijush Samui
Pijush Samui National Institute of Technology Patna

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Engineering and technology students often seek flexible pathways to enhance their qualifications or diversify their skills. Many choose related online programs that offer both convenience and career advancement opportunities. Exploring a hotel and restaurant management degree online can be a strategic option for those interested in hospitality leadership and operations, which increasingly relies on technology.

For professionals looking to broaden their business acumen, pursuing an online mba aacsb provides a respected and affordable qualification recognized by employers worldwide. Similarly, specialized fields such as law benefit from accredited online programs; the best online aba-approved paralegal programs can help launch a legal support career or add value to an engineering background.

Human resources is another critical area where engineers and tech specialists may excel, especially with leadership training. The cheapest online human resources degree programs offer accessible options for those looking to move into HR management. Each of these online degrees can serve as a springboard to new roles, combining the strength of a technical background with broader managerial or industry expertise.

Best Scientists Citing Isa Ebtehaj

Trending Scientists