Education:

• Ph.D., Georgia Institute of Technology, Atlanta, GA, ABD
• M.S., Georgia Institute of Technology, Atlanta, GA, ABD & Middle East Technical University, Ankara, Turkey
• B.S., Middle East Technical University, Ankara, Turkey

Research Interests:

• Surface and subsurface water quality
• Environmental modeling
• Numerical methods in environmental engineering
• Flow and contaminant transport in surface and subsurface waters
• Dynamic interactions of surface and subsurface systems
• Source/sink terms in environmental modeling
• Environmental impact assessment
• Geographic information systems

Recent Publications:

• Samadianfard, S., & Gündüz, O. (2026). A novel decomposition-driven deep learning framework for multi-temporal drought forecasting with uncertainty quantification. Modeling Earth Systems and Environment, 12, 277. https://doi.org/10.1007/s40808-026-02934-1
• Samadianfard, S., Bayat Khajeh, E., Beirami, N., Khorrami, B., & Gündüz, O. (2026). A novel hybrid remote sensing–machine learning framework for multiday soil moisture forecasting. Applied Water Science, 16, 271. https://doi.org/10.1007/s13201-026-02952-5
• Samadianfard, S., & Gündüz, O. (2026). Decoding cross-correlated hydrochemical drivers for robust nutrient concentration prediction. Water, Air, & Soil Pollution, 237, 951. https://doi.org/10.1007/s11270-026-09630-x
• Aşıcı, E. A., Baycan, N., & Gündüz, O. (2026). Global monitoring of PFAS in aquatic environments: Temporal trends, emerging profiles, and exposure assessment challenges. Environmental Research, 305, 124918. https://doi.org/10.1016/j.envres.2026.124918
• Samadianfard, S., Aras, E., Yılmaz Çelik, D., Sattari, M. T., & Gündüz, O. (2026). Hybrid CEEMDAN–deep learning models for COD prediction in wastewater treatment plants. Environmental Science: Water Research & Technology. https://doi.org/10.1039/D6EW00014B