Mehdi Neshat

Mehdi Neshat

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

I received my bachelor and master degrees from Yazd Univesity (Software Engineering,2005) and IAUM (Mashhad,2008) in Artificial Intelligence. I have been awarded a PhD scholarship (ASI) in the University of Adelaide (Australia) from 2017 to 2020. My main research interests are in investigating and optimizing the real engineering problems such as Wave Energy Converters placement optimization and Water Distribution Systems by bio-inspired optimization techniques like Evolutionary Algorithms and Swarm optimization methods.

1. Optimizing the Wave Energy Converters Positions, Control and Shape parameters

2. Optimizing the Water Distribution Systems design

3. Forecasting the wind speed in wind farms

4. Forecasting and modelling the power output of the wind turbines

  • Language Competencies
    Language Competency
    English Can read, write, speak, understand spoken and peer review
    Persian Can read, write, speak, understand spoken and peer review

  • Journals
    Year Citation
    2024 Majidi Nezhad, M., Neshat, M., Sylaios, G., & Astiaso Garcia, D. (2024). Marine energy digitalization digital twin's approaches. Renewable and Sustainable Energy Reviews, 191, 18 pages.
    DOI
    2023 Hajam, M. A., Arif, T., Khanday, A. M. U. D., & Neshat, M. (2023). An Effective Ensemble Convolutional Learning Model with Fine-Tuning for Medicinal Plant Leaf Identification. Information (Switzerland), 14(11), 20 pages.
    DOI
    2023 Neshat, M., Lee, S., Momin, M. M., Truong, B., van der Werf, J. H. J., & Lee, S. H. (2023). An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation. Frontiers in Genetics, 14, 1-12.
    DOI Scopus1
    2023 Majidi Nezhad, M., Neshat, M., Azaza, M., Avelin, A., Piras, G., & Astiaso Garcia, D. (2023). Offshore wind farm layouts designer software's. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 4, 100169.
    DOI Scopus4
    2023 Dehkordi, A. A., Etaati, B., Neshat, M., & Mirjalili, S. (2023). Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations. IEEE Access, 11, 39269-39294.
    DOI Scopus1
    2023 Neshat, M., Nezhad, M. M., Mirjalili, S., Garcia, D. A., Dahlquist, E., & Gandomi, A. H. (2023). Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution strategy. Energy, 278, 1-21.
    DOI Scopus7 WoS2
    2023 Amini, E., Nasiri, M., Pargoo, N. S., Mozhgani, Z., Golbaz, D., Baniesmaeil, M., . . . Sylaios, G. (2023). Design optimization of ocean renewable energy converter using a combined Bi-level metaheuristic approach. Energy Conversion and Management: X, 19, 1-13.
    DOI Scopus6 WoS3
    2022 Radfar, S., Kianoush, B., Majidi Nezhad, M., & Neshat, M. (2022). Developing an Extended Virtual Blade Model for Efficient Numerical Modeling of Wind and Tidal Farms. Sustainability (Switzerland), 14(21), 17 pages.
    DOI Scopus1
    2022 Dadgar, S., & Neshat, M. (2022). A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media. Sensors, 22(24), 31 pages.
    DOI
    2022 Eslami, M., Neshat, M., & Khalid, S. A. (2022). A Novel Hybrid Sine Cosine Algorithm and Pattern Search for Optimal Coordination of Power System Damping Controllers. Sustainability (Switzerland), 14(1), 1-27.
    DOI Scopus37 WoS33
    2022 Neshat, M., Nezhad, M. M., Sergiienko, N. Y., Mirjalili, S., Piras, G., & Garcia, D. A. (2022). Wave power forecasting using an effective decomposition-based convolutional Bi-directional model with equilibrium Nelder-Mead optimiser. Energy, 256, 1-16.
    DOI Scopus16 WoS2
    2022 Golbaz, D., Asadi, R., Amini, E., Mehdipour, H., Nasiri, M., Etaati, B., . . . Gandomi, A. H. (2022). Layout and design optimization of ocean wave energy converters: A scoping review of state-of-the-art canonical, hybrid, cooperative, and combinatorial optimization methods. Energy Reports, 8, 15446-15479.
    DOI Scopus5 WoS3
    2022 Agostinelli, S., Neshat, M., Majidi Nezhad, M., Piras, G., & Astiaso Garcia, D. (2022). Integrating Renewable Energy Sources in Italian Port Areas towards Renewable Energy Communities. Sustainability (Switzerland), 14(21), 18 pages.
    DOI Scopus2
    2022 Majidi Nezhad, M., Neshat, M., Piras, G., & Astiaso Garcia, D. (2022). Sites exploring prioritisation of offshore wind energy potential and mapping for wind farms installation: Iranian islands case studies. Renewable and Sustainable Energy Reviews, 168, 16 pages.
    DOI Scopus16 WoS10
    2022 Amini, E., Mehdipour, H., Faraggiana, E., Golbaz, D., Mozaffari, S., Bracco, G., & Neshat, M. (2022). Optimization of hydraulic power take-off system settings for point absorber wave energy converter. Renewable Energy, 194, 938-954.
    DOI Scopus13 WoS7
    2022 Neshat, M., Majidi Nezhad, M., Mirjalili, S., Piras, G., & Garcia, D. A. (2022). Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies. Energy Conversion and Management, 259, 24 pages.
    DOI Scopus28 WoS18
    2022 Majidi Nezhad, M., Heydari, A., Neshat, M., Keynia, F., Piras, G., & Garcia, D. A. (2022). A Mediterranean Sea Offshore Wind classification using MERRA-2 and machine learning models. Renewable Energy, 190, 156-166.
    DOI Scopus17 WoS8
    2022 Mozaffari, S., Amini, E., Mehdipour, H., & Neshat, M. (2022). Flow Discharge Prediction Study Using a CFD-Based Numerical Model and Gene Expression Programming. Water (Switzerland), 14(4), 15 pages.
    DOI Scopus3 WoS2
    2022 Radfar, S., Panahi, R., Nezhad, M. M., & Neshat, M. (2022). A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays. Sustainability (Switzerland), 14(3), 13 pages.
    DOI Scopus4 WoS4
    2022 Nezhad, M. M., Neshat, M., Piras, G., Garcia, D. A., & Sylaios, G. (2022). Marine Online Platforms of Services to Public End-Users—The Innovation of the ODYSSEA Project. Remote Sensing, 14(3), 20 pages.
    DOI Scopus3 WoS2
    2022 Etaati, B., Dehkordi, A. A., Sadollah, A., El-Abd, M., & Neshat, M. (2022). A Comparative State-of- the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 13 pages.
    DOI WoS2
    2022 Neshat, M., Mirjalili, S., Sergiienko, N. Y., Esmaeilzadeh, S., Amini, E., Heydari, A., & Garcia, D. A. (2022). Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia. Energy, 239, 1-29.
    DOI Scopus23 WoS18
    2021 Syah, R., Davarpanah, A., Nasution, M. K. M., Tanjung, F. A., Nezhad, M. M., & Nesaht, M. (2021). A comprehensive thermoeconomic evaluation and multi-criteria optimization of a combined MCFC/TEG system. Sustainability (Switzerland), 13(23), 29 pages.
    DOI
    2021 Amini, E., Mehdipour, H., Faraggiana, E., Golbaz, D., Mozaffari, S., Bracco, G., & Neshat, M. (2021). Optimization Study of Hydraulic Power Take-off System for an Ocean Wave Energy Converter.. CoRR, abs/2112.09803.
    2021 Golbaz, D., Asadi, R., Amini, E., Mehdipour, H., Nasiri, M., Nezhad, M. M., . . . Neshat, M. (2021). Ocean Wave Energy Converters Optimization: A Comprehensive Review on
    Research Directions.
    2021 Ceylan, O., Neshat, M., & Mirjalili, S. (2021). Cascaded H-bridge multilevel inverters optimization using adaptive grey wolf optimizer with local search. Electrical Engineering, 15 pages.
    DOI Scopus8 WoS5
    2021 Schlueter, M., Neshat, M., Wahib, M., Munetomo, M., & Wagner, M. (2021). GTOPX space mission benchmarks. SoftwareX, 14, 1-10.
    DOI Scopus4 WoS2
    2021 Neshat, M., Nezhad, M. M., Abbasnejad, E., Mirjalili, S., Tjernberg, L. B., Astiaso Garcia, D., . . . Wagner, M. (2021). A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm. Energy Conversion and Management, 236, 1-25.
    DOI Scopus108 WoS83
    2021 Neshat, M., Nezhad, M. M., Abbasnejad, E., Mirjalili, S., Groppi, D., Heydari, A., . . . Wagner, M. (2021). Wind turbine power output prediction using a new hybrid neuro-evolutionary method. Energy, 229, 120617-1-120617-24.
    DOI Scopus61 WoS51
    2021 Neshat, M., Sergiienko, N. Y., Mirjalili, S., Nezhad, M. M., Piras, G., & Garcia, D. A. (2021). Multi-mode wave energy converter design optimisation using an improved moth flame optimisation algorithm. Energies, 14(13), 1-17.
    DOI Scopus13 WoS9
    2021 Amini, E., Asadi, R., Golbaz, D., Nasiri, M., Naeeni, S. T. O., Nezhad, M. M., . . . Neshat, M. (2021). Comparative study of oscillating surge wave energy converter performance: a case study for southern coasts of the Caspian Sea. Sustainability (Switzerland), 13(19), 1-21.
    DOI Scopus11 WoS7
    2021 Filom, S., Radfar, S., Panahi, R., Amini, E., & Neshat, M. (2021). Exploring wind energy potential as a driver of sustainable development in the southern coasts of Iran: The importance of wind speed statistical distribution model. Sustainability (Switzerland), 13(14), 1-24.
    DOI Scopus11 WoS7
    2021 Heydari, A., Nezhad, M. M., Neshat, M., Garcia, D. A., Keynia, F., De Santoli, L., & Tjernberg, L. B. (2021). A combined fuzzy gmdh neural network and grey wolf optimization application for wind turbine power production forecasting considering scada data. Energies, 14(12), 1-13.
    DOI Scopus15 WoS13
    2021 Ghobadzadeh, F., & Neshat, M. (2021). A Low-Cost Bandpass Filter Based on Hybrid Spoof Plasmonic Waveguides. IEEE Microwave and Wireless Components Letters, 31(7), 837-840.
    DOI Scopus1 WoS1
    2021 Syah, R., Rezaei, M., Elveny, M., Majidi Nezhad, M., Ramdan, D., Nesaht, M., & Davarpanah, A. (2021). Day-ahead electricity price forecasting using WPT, VMI, LSSVM-based self adaptive fuzzy kernel and modified HBMO algorithm. Scientific Reports, 11(1), 17375.
    DOI Scopus2
    2021 Amini, E., Golbaz, D., Asadi, R., Nasiri, M., Ceylan, O., Nezhad, M. M., & Neshat, M. (2021). A comparative study of metaheuristic algorithms for wave energy converter power take-off optimisation: a case study for Eastern Australia. Journal of Marine Science and Engineering, 9(5), 1-12.
    DOI Scopus14 WoS13
    2021 Nezhad, M. M., Neshat, M., Heydari, A., Razmjoo, A., Piras, G., & Garcia, D. A. (2021). A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement. Renewable Energy, 172, 1301-1313.
    DOI Scopus18 WoS17
    2021 Nezhad, M. M., Neshat, M., Groppi, D., Marzialetti, P., Heydari, A., Sylaios, G., & Garcia, D. A. (2021). A primary offshore wind farm site assessment using reanalysis data: a case study for Samothraki island. Renewable Energy, 172, 667-679.
    DOI Scopus31 WoS27
    2020 Amini, E., Golbaz, D., Amini, F., Nezhad, M. M., Neshat, M., & Garcia, D. A. (2020). A parametric study of wave energy converter layouts in real wave models. Energies, 13(22), 6095.
    DOI Scopus21 WoS14
    2020 Neshat, M., Alexander, B., & Wagner, M. (2020). A hybrid cooperative co-evolution algorithm framework for optimising power take offand placements of wave energy converters. Information Sciences, 534, 218-244.
    DOI Scopus40 WoS32
    2020 Neshat, M., Alexander, B., Sergiienko, N. Y., & Wagner, M. (2020). New insights into position optimization of wave energy converters using hybrid local search. Swarm and Evolutionary Computation, 59, 100744-1-100744-18.
    DOI Scopus18 WoS14
    2020 Neshat, M., Nezhad, M. M., Abbasnejad, E., Groppi, D., Heydari, A., Tjernberg, L. B., . . . Wagner, M. (2020). Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output.. CoRR, abs/2004.12794.
    2020 Neshat, M., Sergiienko, N. Y., Amini, E., Nezhad, M. M., Garcia, D. A., Alexander, B., & Wagner, M. (2020). A new bi-level optimisation framework for optimising a multi-modewave energy converter design: A case study for the marettimo island, mediterranean sea. Energies, 13(20), 5498.
    DOI Scopus18 WoS16
    2020 Neshat, M., Nezhad, M. M., Abbasnejad, E., Tjernberg, L. B., Garcia, D. A., Alexander, B., & Wagner, M. (2020). An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm.. CoRR, abs/2002.09106.
    2019 Neshat, M., Alexander, B., & Simpson, A. R. (2019). Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization.. CoRR, abs/1909.04846.
    2016 Neshat, M., Tabatabi, M., Zahmati, E., & Shirdel, M. (2016). A hybrid fuzzy knowledge-based system for forest fire risk forecasting. International Journal of Reasoning-based Intelligent Systems, 8(3-4), 132-154.
    DOI Scopus2
    2016 Neshat, M., & Ahmadi, M. (2016). Recognising the kind of cloud using a new fuzzy knowledge-based system. International Journal of Reasoning-based Intelligent Systems, 8(3-4), 168-180.
    DOI Scopus1
    2016 Pourahmad, A., Neshat, M., & Hasani, M. (2016). Using LibQUAL model for improving the level of students' satisfaction from quality of services in academic libraries: a case study in North Khorasan Province, Iran. Journal of Information and Knowledge Management, 15(1), 1650011-1-1650011-12.
    DOI Scopus7 WoS3
    2016 Neshat, M., Pourahmad, A. A., & Hasani, M. R. (2016). Designing an adaptive neuro fuzzy inference system for prediction of customers satisfaction. Journal of Information and Knowledge Management, 15(4), 21 pages.
    DOI Scopus1
    2016 Neshat, M., Sepidname, G., Mehri, E., & Zalimoghadam, A. (2016). The review of soft computing applications in humanitarian demining robots design. Indian Journal of Science and Technology, 9(4), 1-13.
    DOI Scopus3
    2015 Neshat, M., Sepidname, G., Eizi, A., & Amani, A. (2015). A new skin color detection approach based on fuzzy expert system. Indian Journal of Science and Technology, 8(21).
    DOI Scopus12
    2015 Neshat, M., & Sepidname, G. (2015). A new hybrid optimization method inspired from swarm intelligence: Fuzzy adaptive swallow swarm optimization algorithm (FASSO). Egyptian Informatics Journal, 16(3), 339-350.
    DOI Scopus12 WoS10
    2014 Neshat, M., Sepidnam, G., Sargolzaei, M., & Toosi, A. N. (2014). Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications. Artificial Intelligence Review, 42(4), 965-997.
    DOI Scopus329 WoS246
    2013 Neshat, M. (2013). FAIPSO: Fuzzy adaptive informed particle swarm optimization. Neural Computing and Applications, 23(SUPPL1), 95-116.
    DOI Scopus22 WoS18
    2013 Neshat, M., Sepidnam, G., & Sargolzaei, M. (2013). Swallow swarm optimization algorithm: A new method to optimization. Neural Computing and Applications, 23(2), 429-454.
    DOI Scopus77 WoS52
    2012 Neshat, M., Adeli, A., Sepidnam, G., & Sargolzaei, M. (2012). Predication of concrete mix design using adaptive neural fuzzy inference systems and fuzzy inference systems. International Journal of Advanced Manufacturing Technology, 63(1-4), 373-390.
    DOI Scopus14 WoS12
    2012 Neshat, M., Sargolzaei, M., Masoumi, A., & Najaran, A. (2012). A New kind of PSO: Predator particle swarm optimization. International Journal on Smart Sensing and Intelligent Systems, 5(2), 521-539.
    DOI Scopus7 WoS5
    2012 Neshat, M., Adeli, A., Sepidnam, G., Sargolzaei, M., & Toosi, A. N. (2012). A review of Artificial Fish Swarm Optimization methods and applications. International Journal on Smart Sensing and Intelligent Systems, 5(1), 107-148.
    DOI Scopus48 WoS32
    2012 Neshat, M., Sargolzaei, M., Najaran, A., & Adeli, A. (2012). The new method of adaptive CPU scheduling using Fonseca and Fleming's Genetic Algorithm. Journal of Theoretical and Applied Information Technology, 37(1), 1-16.
    Scopus8
    2012 Neshat, M., Yazdi, S. F., Yazdani, D., & Sargolzaei, M. (2012). A new cooperative algorithm based on PSO and K-means for data clustering. Journal of Computer Science, 8(2), 188-194.
    DOI Scopus27
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