Direction:Civil Engineering
Position:Full Professor
Dr. Kisi received his B.Sc. in Civil Engineering from the Cukurova University, Turkey (1997), his M.Sc. in Hydraulics from the Erciyes University, Turkey (1999), and his Ph.D. degree from Istanbul Technical University, Turkey (2003). His research fields are: Developing novel algorithms and methods towards the innovative solution of hydrologic forecasting and modeling; suspended sediment modeling; forecasting and estimating hydrological variables such as precipitation, streamflow, evaporation, evapotranspiration, groundwater, lake level; hydroinformatics; and trend analysis. He is an active participant in numerous national research projects and supervisor of several MSc and PhD works. He is serving as an Editorial Board Member of several reputed journals (e.g. Journal of Hydrologic Engineering (ASCE), Arabian Journal of Geosciences, ISH Journal of Hydraulic Engineering, Irrigation & Drainage Systems Engineering and Austin Journal of Irrigation). He has also served as a Guest Editor for Special Issues published in Hydrological Hazards in a Changing Environment-Early Warning, Forecasting, and Impact Assessment (Advances in Meteorology) in 2015. He is also serving as a Reviewer for more than 80 journals indexed in Science Citation Index (SCI) in the fields of hydrology, irrigation, water resources and hydro-informatics (e.g. ASCE Journal of Hydrologic Engineering, ASCE Journal of Irrigation and Drainage Engineering, Water Resources Research, Journal of Hydrology, Hydrological Processes, Hydrology Research, Water Resources Management, Hydrological Sciences Journal, Journal of Hydroinformatics, Water Science and Technology). He has authored more than 200 research articles, 2 chapters and 24 discussions (Web of Science h-index = 36, Google Scholar h-index = 47; Scopus h-index 40). Dr. Kisi is the recipient of the 2006 International Tison Award (given by the International Association of Hydrological Sciences (IAHS); URL: http://iahs.info/About-IAHS/Competition–Events/Tison-Award/Tison-Award-winners/OKisi.do). According to Webometrics (in 2016), his ranking in Turkey was 51. He is a member of Turkish Academy of Science (selected in 2012). He is a professor at Ilia State University since 2017.
Scientific interests / research interests
Developing novel algorithms and methods towards the innovative solution of hydrologic forecasting and modeling; suspended sediment modeling; forecasting and estimating hydrological variables such as precipitation, streamflow, evaporation, evapotranspiration, groundwater, lake level; hydroinformatics; trend analysis; wavelet analysis.
Kim, S., Kisi, O., Seo, Y., Singh, V.P., Lee, C-J. 2017. Assessment of rainfall aggregation and disaggregation using wavelet decomposition and data-driven models, Hydrology Research, 48(1), 99-116.
Adnan, R.M., Yuan, X., Kisi, O., Anam, R. 2017. Improving accuracy of river flow forecasting using LSSVR with gravitational search algorithm, Advances in Meteorology, Article ID 2391621, 23 pages, https://doi.org/10.1155/2017/2391621.
Wang, L., Kisi, O., Zounemat-Kermani, M., Li, H. 2017. Pan evaporation modeling using six different heuristic computing methods in different climates of China, J. of Hydrolog, 544, 407-427.
Deo, R.C., Kisi, O., Singh, V.P. 2017. Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model, Atmospheric Research, 184, 149-175.
Yaseen, Z.M., Jaafar, O., Deo, R.C., Kisi, O., Adamowski, J., Quilty, J., Elshafie, A. 2016. Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq, J. of Hydrolog, 542, 603-614.
Seo, Y., Kim, S., Kisi, O., Singh, V.P., Parasuraman, K. 2016. River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models, Water Resources Management, 30(11), 4011-4035.
Kisi, O. 2016. Modeling reference evapotranspiration using three different heuristic regression approaches, Agricultural Water Management, 169, 162-172.
Kisi, O., Parmar, K.S. 2016. Application of Least Square Support Vector Machine and Multivariate Adaptive Regression Spline Models in Long Term Prediction of River Water Pollution J. of Hydrolog, 534, 104–112.
Kisi, O., Sanikhani, H. 2015. Modeling long-term monthly temperatures by several data-driven methods using geographical inputs, International J. of Climatology, 35(13), 3834-3846.
Kisi O. 2015. Streamflow forecasting and estimation using least square support vector regression and adaptive neuro-fuzzy embedded fuzzy c-means clustering, Water Resources Management, 29, 5109-5127.
Kisi, O. 2015. Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree, J. of Hydrology, 528, 312–320.
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