Prof. Dr. Nguyen Trung Viet appointed Distinguished Professor at Keimyung University, South Korea

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The ceremony was held in the Main Hall of Keimyung University with the attendance of Prof. Synn Ilhi – President of Keimyung University, Vice Presidents, Presidential Board of the School of Engineering, the Office of International Affairs, and the delegation from Thuyloi University.

Prof. Synn Ilhi presented the appointment decision and expressed deep appreciation for Prof. Viet’s academic and collaborative contributions. He shared:

“From our very first meeting three years ago, Prof. Nguyen Trung Viet impressed us with his international vision and strong collaborative spirit. We are honored to appoint him as a Distinguished Professor and look forward to his continued role as a strong bridge between our two universities.”

GS. Synn Ilhi – Hiệu trưởng Đại học Keimyung, Hàn Quốc phát biểu

In his speech, Prof. Nguyen Trung Viet emotionally expressed his gratitude for the warm welcome and affirmed:

“This Distinguished Professorship is a great honor, but also a responsibility to further develop the relationship between our universities and to contribute to the educational friendship between Korea and Vietnam.”

Immediately following the ceremony, Prof. Dr. Nguyen Trung Viet delivered a special lecture titled “Numerical Models for Coastal Disaster Prevention: Case Studies in Vietnam”, featuring key research in coastal erosion, flooding, and morphological changes in Vietnam.

Highlights of the lecture included:

• – Numerical modeling of coastal dynamics and erosion using One-line model, FVCOM, XBeach, Delft3D;
• – Analysis of coastal topography data using satellite imagery, UAVs, and fixed cameras;
• – Applications of AI (ML, ANN, LSTM) in shoreline change forecasting;
• – Case studies in Cua Đai (Quang Nam), Phu Thuan (Hue), Nha Trang, and Binh Thuan – areas severely impacted by storms, tidal surges, and human activity.

The lecture received high praise for its practical relevance, scientific depth, and demonstration of how data science can address climate change and disaster risk challenges – critical issues for many countries.