Meeting roles in:
Precipitation Forecasting Using Hybrid Data-Driven Modeling
Kianoush Kadkhodaei is a PhD student in Water Resources Engineering at Sharif University of Technology, specializing in rainfall forecasting, hydro-climatological modeling, and extreme-event risk analysis. His research integrates statistical, physical, and deep-learning approaches to improve precipitation prediction and assess climate-related water challenges, including Caspian Sea water-level variability. He has presented at international conferences such as AGU 2025 and contributed to several research projects in hydrology, environmental modeling, and numerical simulation. Alongside his research, he has served as a teaching assistant and gained professional experience in engineering and construction projects.