SCHOOL OF BUSINESS,
TECNOLOGY AND EDUCATION
ILIA STATE UNIVERSITY

Direction:Civil Engineering
Position:Full Professor





Dr. Kisi worked as a Postdoctoral Researcher at the University of Applied Sciences Lübeck, Germany (2021–2025). He is currently a Full Professor at Ilia State University, Georgia (since 2017). Previously, he served as the Dean of the Faculty of Architecture and Engineering at Basari University, Turkey (2012–2016) and as the Head of the Civil Engineering Department at Erciyes University (2011–2012).

He received his Ph.D. in Hydraulic Engineering from Istanbul Technical University, Turkey, in 2003. Over the years, Dr. Kisi has gained recognition for his innovative contributions to hydrology, hydroinformatics, and environmental sciences. His research research primarily focuses on advancing water resources engineering through the development of innovative modeling and prediction techniques. This includes suspended sediment modeling, streamflow, flood and drought modeling, and novel trend analysis methods. He employs advanced statistical and machine learning (ML) approaches, including explainable ML and deep learning, combined with remote sensing data, empirical mode decomposition, and wavelet analysis. Additionally, He explores spatial and temporal hydroclimatic patterns using cutting-edge graphical trend methods, such as innovative trend analysis, innovative polygon trend analysis and wavelet analysis. He also integrate wavelet analysis, remote sensing, and machine learning with metaheuristic optimization techniques to address global challenges in these domains.

Dr. Kisi has been a recipient of prestigious awards such as the 2006 International Tison Award (Link 1) by the International Association of Hydrological Sciences (IAHS) and the Best Discussion Award by the Environmental and Water Resources Institute of the American Society of Civil Engineers (ASCE) in 2023. He was recognized as a Highly Cited Researcher by Clarivate in 2021 and consistently ranked among the Top 2% of Scientists Worldwide (Link 2) by Stanford University (2020–2024).

With over 600 peer-reviewed articles, 15 book chapters, and 30 discussions, Dr. Kisi’s research impact is evidenced by an h-index of 86 (Web of Science), 110 (Google Scholar), and 94 (Scopus).

In addition to his research achievements, Dr. Kisi has played a pivotal role in the academic publishing landscape. He is an Editorial Board Member of several prestigious journals, including:

  • ASCE Journal of Hydrologic Engineering
  • Hydrology Research
  • Hydrological Sciences Journal
  • KSCE Journal of Civil Engineering

Furthermore, he has served as a reviewer for over 100 journals indexed in the Science Citation Index (SCI), covering fields such as hydrology, irrigation, water resources, and hydro-informatics.

Dr. Kisi is also a full member of the Turkish Academy of Sciences (Link 3) since 2012, reflecting his enduring contributions to academia and scientific innovation.

Links:

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.
  • An extensive list of publications

Current Courses

Course Catalog