Education:

Professional Experience:

Service on the Faculty:

Scientific Publications:

1. Yildiz, V., Onen, M. O., & Cosut, M. (2026). A Deep Learning Application to Predict Reservoir Operations. In Artificial Intelligence in Civil Engineering: Recent Advances (pp. 409-423). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-07738-7_20.

2. Yildiz, V., Brown, S., & Rougé, C. (2025). Robust and computationally efficient design for run-of-river hydropower. Environmental Modelling & Software, 183, p.106220, https://doi.org/10.1016/j.envsoft.2024.106220.

3. Yildiz, V., Brown, S., & Rougé, C. (2024). Importance of variable turbine efficiency in run‐of‐river hydropower design under deep uncertainty. Water Resources Research, 60(6), e2023WR035713, https://doi.org/10.1029/2023WR035713.

4. Yildiz, V., Onen, M.O., Arslan, C. and Hatipoglu, M.A. (2024). Drought Management and Planning for Water Resources. In Hydrology and Urban Water Supply. Springer, Cham. https://doi.org/10.1007/978-3-031-72589-0_8.

5. Yildiz, V., Brown, S., & Rougé, C. (2023). Statistical generation of climate-perturbed flow duration curves. Hydrology and Earth System Sciences, p. 2499--2507, https://doi.org/ 10.5194/hess-27-2499-2023.

6. Yildiz, V., Hatipoglu, M.A., Kumcu, S.Y. (2022). Climate Change Impacts on Water Resources. In Water and Wastewater Management. Springer, Cham. https://doi.org/10.1007/978-3-030-95288-4_2.

7. Yildiz, V., Vrugt, J. A. (2019). A toolbox for the optimal design of run-of-river hydropower plants, Environmental Modelling & Software, 111, 134–152, https://doi.org/10.1016/j.envsoft.2018.08.018.

Scientific Presentations & Posters:

• Hydropower Efficiency Is Declining. By How Much, and How Can We Adapt?. AGU Annual Meeting, 2025.

• Redefining Retrofit Priorities for Non-Powered Dams through Performance and Robustness Metrics. AGU Annual Meeting, 2025.

• Adapting hydropower turbines at reservoirs to increase generation. AGU Annual Meeting, 2024.

• Data-Driven Analysis of Heatwave Impacts on Rural Mental Health and Substance Use. AGU Annual Meeting, 2024.

• Advancing Small Hydropower Design: A Novel Framework for Robust and Sustainable Solutions. EGU General Assembly, 2024.

• Modernizing RoR Hydropower: A Study on Retrofitting Aged Turbines for Optimal Performance. EGU General Assembly, 2024. (Poster)

• Computationally inexpensive robust design of run-of-river hydropower plants. EGU General Assembly, 2023.

• Perturbing the flow duration curve to explore future flow conditions without a hydrological model. EGU General Assembly, 2022. (Poster)

• Run of River hydropower: in an uncertain world, is smaller financially smarter? EGU General Assembly, 2022. (Poster)

• Robust Small Hydropower Design, 2nd IFAC Workshop on Control Methods for Water Resource Systems, 2022.

• Application multi-objective robust decision-making to the design of run-of-river hydropower plants. EGU General Assembly, 2021. (Poster)

• The Basin Planning Program (DSI HaPP), An Innovative Decision Making Tool for Planning and Development of Water Resources Impacted by Increasing Water Demand and Climate Change. 11th National Hydrology Congress, 2022.

• Contribution of Dams in the Management of National and Transboundary Watersheds. 10th National Hydrology Congress, 2019.

Courses: