Ozgur Kisi

Ilia State University, Georgia
Faculty of Natural Sciences and Engineering

Scopus profile: link
Web of Science profile: link
Google Scholar profile: link
ID ORCID: https://orcid.org/0000-0001-7847-5872

Selected Publications:

  1. Vadiati, M., Rajabi Yami, Z., Eskandari, E., Nakhaei, M., Kisi, O. (2022). Application of artificial intelligence models for prediction of groundwater level fluctuations: case study (Tehran-Karaj alluvial aquifer). Environmental Monitoring and Assessment, 194 (9). doi: https://doi.org/10.1007/s10661-022-10277-4 

  2. Mohanavelu, A., Soundharajan, B.-S., Kisi, O. (2022). Modeling Multi-objective Pareto-optimal Reservoir Operation Policies Using State-of-the-art Modeling Techniques. Water Resources Management, 36 (9), 3107–3128. doi: https://doi.org/10.1007/s11269-022-03191-4 

  3. Kazemi, M. H., Majnooni-Heris, A., Kisi, O., Shiri, J. (2020). Generalized gene expression programming models for estimating reference evapotranspiration through cross-station assessment and exogenous data supply. Environmental Science and Pollution Research. doi: https://doi.org/10.1007/s11356-020-10916-8 

  4. Kisi, O., Alizamir, M., Trajkovic, S., Shiri, J., Kim, S. (2020). Solar Radiation Estimation in Mediterranean Climate by Weather Variables Using a Novel Bayesian Model Averaging and Machine Learning Methods. Neural Processing Letters. doi: https://doi.org/10.1007/s11063-020-10350-4 

  5. Esmaeilbeiki, F., Nikpour, M. R., Singh, V. K., Kisi, O., Sihag, P., Sanikhani, H. (2020). Exploring the application of soft computing techniques for spatial evaluation of groundwater quality variables. Journal of Cleaner Production, 276, 124206. doi: https://doi.org/10.1016/j.jclepro.2020.124206 

  6. Kim, S., Alizamir, M., Zounemat-Kermani, M., Kisi, O., Singh, V. P. (2020). Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea. Journal of Environmental Management, 270, 110834. doi: https://doi.org/10.1016/j.jenvman.2020.110834 

  7. Malik, A., Tikhamarine, Y., Souag-Gamane, D., Kisi, O., Pham, Q. B. (2020). Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction. Stochastic Environmental Research and Risk Assessment. doi: https://doi.org/10.1007/s00477-020-01874-1 

  8. Deo, R. C., Samui, P., Kisi, O., Yaseen, Z. M. (Eds.) (2020). Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation. Springer. doi: https://doi.org/10.1007/978-981-15-5772-9 

  9. Adnan, R. M., Zounemat-Kermani, M., Kuriqi, A., Kisi, O. (2020). Machine Learning Method in Prediction Streamflow Considering Periodicity Component. Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation, 383–403. doi: https://doi.org/10.1007/978-981-15-5772-9_18 

  10. Heddam, S., Kisi, O. (2020). Evolving Connectionist Systems Versus Neuro-Fuzzy System for Estimating Total Dissolved Gas at Forebay and Tailwater of Dams Reservoirs. Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation, 109–126. doi: https://doi.org/10.1007/978-981-15-5772-9_6 

  11. Kisi, O., Alizamir, M., Shiri, J. (2020). Conjunction Model Design for Intermittent Streamflow Forecasts: Extreme Learning Machine with Discrete Wavelet Transform. Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation, 171–181. doi: https://doi.org/10.1007/978-981-15-5772-9_9 

  12. Rahman, A. T. M. S., Hosono, T., Kisi, O., Dennis, B., Imon, A. H. M. R. (2020). A minimalistic approach for evapotranspiration estimation using the Prophet model. Hydrological Sciences Journal, 65 (12), 1994–2006. doi: https://doi.org/10.1080/02626667.2020.1787416