Ozgur Kisi

Department of Architecture and Civil Engineering, University of Applied Sciences, Lübeck, Germany;
Department of Civil Engineering, The School of Business, Technology and Education, Ilia State University, Tbilisi, Georgia
PhD, Professor
Scopus profile: link
Researcher ID: AAD-8932-2019
Google Scholar profile: link
ID ORCID: https://orcid.org/0000-0001-7847-5872
Selected Publications:
- Kisi, O., Heddam, S., Parmar, K. S., Petroselli, A., Külls, C., Zounemat-Kermani, M. (2025). Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling. Scientific Reports, 15 (1). https://doi.org/10.1038/s41598-025-91339-8
- Ismail, M. A., Taki, A. G., Kumar, S., Sammen, S. Sh., Amari, A., Bongale, A., Kisi, O., Salem, A. (2025). Effectiveness of waste-derived MIL type MOFs in removing PFOA and PFAS pollutants for environmental remediation. Scientific Reports, 15 (1). https://doi.org/10.1038/s41598-025-93854-0
- Khan, Y., Kumar, V., Gacem, A., Satpathi, A., Setiya, P., Surbhi, K., Nain, A. S., Vishwakarma, D. K., Obaidullah, A. J., Yadav, K. K., Kisi, O. (2025). Comparative evaluation of hybrid and individual models for predicting soybean yellow mosaic virus incidence. Scientific Reports, 15 (1). https://doi.org/10.1038/s41598-025-99427-5
- Singh, J., Singh, M. C., Mathur, A., Kumar, S., Malik, A., Dewidar, A. Z., Mattar, M. A., Kisi, O. (2025). Evaluating reservoir capacity and sedimentation rates using geospatial technique: a case study of Chohal dam reservoir. Environmental Earth Sciences, 84 (13). https://doi.org/10.1007/s12665-025-12396-w
- Samani, S., Vadiati, M., Kisi, O. (2025). Predicting groundwater levels in coastal aquifers using deep learning models: a comparative study of sedimentary and metamorphic aquifers in nova scotia. Earth Science Informatics, 18 (2). https://doi.org/10.1007/s12145-025-01856-3
- Shabbir, M., Chand, S., Iqbal, F., Kisi, O. (2025). Novel Hybrid Approach for River Inflow Modeling: Case Study of the Indus River Basin, Pakistan. Journal of Hydrologic Engineering, 30 (3). https://doi.org/10.1061/jhyeff.heeng-6368
- Alsulamy, S., Kumar, V., Kisi, O., Kedam, N., Rathnayake, N. (2025). Enhancing Water Level Prediction Using Ensemble Machine Learning Models: A Comparative Analysis. Water Resources Management, 39 (8), 3995–4014. https://doi.org/10.1007/s11269-025-04142-5





