Postdoctoral researcher at University of Ulsan, South Korea
Minyeob Jeong is a dedicated researcher in Civil Engineering with a specialization in flood prediction and hydrological modeling. He obtained his Bachelor’s, Master’s, and Ph.D. degrees from the University of Seoul, focusing on advanced methodologies for rainfall-runoff predictions. With extensive experience as a researcher and postdoctoral scholar, his work integrates deep learning with hydrological models to improve flood forecasting accuracy. His research contributions have been widely published in esteemed journals, covering topics like hydroinformatics, soil erosion, and watershed data assimilation. His expertise in nonlinear hydrological response functions and dynamic wave modeling has significantly impacted water resource management.
PROFESSIONAL PROFILE
Google Scholar
Orcid
Scopus
EDUCATION 🎓
- High School (2013): Graduated from Pohang Yeongil High School
- Bachelor’s (2019): Civil Engineering, University of Seoul
- Ph.D. (2023): Civil Engineering, University of Seoul
- Language Proficiency: TOEIC Score – 845
EXPERIENCE 🏗️
- 2019 – 2023: Researcher, Department of Civil Engineering, University of Seoul
- 2023 – Present: Postdoctoral Researcher, Department of Civil and Environmental Engineering, University of Seoul
AWARDS AND HONORS 🏆
- Recognized for outstanding contributions in hydrological research
- Published multiple high-impact research papers in top-tier journals
- Recipient of research excellence awards at Korea Water Resources Association Conferences
- Active contributor to advancing flood prediction and hydrological modeling
RESEARCH FOCUS 🔬
Minyeob Jeong’s research centers on integrating hydrological modeling, deep learning, and data assimilation for accurate flood prediction. His work explores nonlinear rainfall-runoff relationships, soil erosion modeling, and watershed data integration. By leveraging machine learning techniques alongside traditional hydrological models, his studies have improved the precision of flood forecasting systems, offering innovative solutions for water resource management and disaster prevention.
PUBLICATION TOP NOTES 📚
- Instantaneous physical rainfall–runoff prediction technique using power-law relationships
- Surface runoff hydrograph derivation using dynamic wave-based instantaneous unit hydrograph
- Effects of Soil Particle Size on Relationship Between Microtopography Roughness and Soil Erosion
- Flood prediction using nonlinear instantaneous unit hydrograph and deep learning
- High flow prediction model integrating physical and deep learning approaches
- On the nonlinearity of the catchment instantaneous response function
- Physical and Deep Learning Hybrid Flood Forecasting Model for Ungauged Watersheds
- A numerical study of single N-type tsunami drawdown processes
- Rainfall-runoff hydrograph prediction using dynamic wave-based instantaneous unit hydrograph
- Microtopography Effects on Rainfall and Sediment Runoff in Arid and Semi-Arid Regions
CONCLUSION 🌍
Minyeob Jeong is a forward-thinking researcher committed to enhancing hydrological modeling through cutting-edge computational techniques. His innovative approaches to flood prediction and water resource management contribute significantly to environmental sustainability and disaster risk mitigation.