IAHR-APD 2026

Jul. 19th ~ Jul. 22nd, 2026

The Resilient Infrastructure Laboratory at Hongik University participated in IAHR-APD 2026, held in Incheon, South Korea, from July 19th to July 22nd, 2026.

홍익대학교 리질리언트인프라 연구실이 2026년 7월 19일 (일) ~ 7월 22일 (수) 인천에서 열린 IAHR-APD 2026에 참가하였습니다.

Eungyeol Heo, a Master’s student in the Resilient Infrastructure Laboratory at Hongik University, gave an oral presentation entitled “Multi-Indicator Framework for Assessing Coastal Groundwater Resilience: Integrating Critical Slowing Down Theory with Information-Theoretic Metrics.”

허은결 석사과정생은“Multi-Indicator Framework for Assessing Coastal Groundwater Resilience: Integrating Critical Slowing Down Theory with Information-Theoretic Metrics.”에 대한 구두 발표를 진행하였습니다.

Yoonsung Shin, a researcher in the Resilient Infrastructure Laboratory at Hongik University, gave an oral presentation entitled “Assessing Alternative Regimes of Flood Control Infrastructure at a Facility Scale.”

신윤성 연구원은  “Assessing Alternative Regimes of Flood Control Infrastructure at a Facility Scale.”에 대한 구두 발표를 진행하였습니다.

Samuel Park, a researcher in the Resilient Infrastructure Laboratory at Hongik University, presented a poster entitled “Exploring Logical Interdependencies in Flood Management Governance: A Network Approach to Reveal Weak Ties and Structural Holes.”

박사무엘 연구원은 “Exploring Logical Interdependencies in Flood Management Governance: A Network Approach to Reveal Weak Ties and Structural Holes.”에 대한 포스터 발표를 진행하였습니다.

Mihika Ashraf, a Master’s student in the Resilient Infrastructure Laboratory at Hongik University, presented a poster entitled “Hybrid Nature-Based Solutions for Urban Flood Management: A Systematic Review of Key Gaps.”

Mihika Ashraf 석사과정생은 “Hybrid Nature-Based Solutions for Urban Flood Management: A Systematic Review of Key Gaps.”에 대한 포스터 발표를 진행하였습니다.

Shilong Li, a Master’s student in the Resilient Infrastructure Laboratory at Hongik University, presented a poster entitled “Evaluating Flood Resilience in Urban Drainage Networks Using Deep Learning Models.”

Shilong Li 석사과정생은 “Evaluating Flood Resilience in Urban Drainage Networks Using Deep Learning Models.”에 대한 포스터 발표를 진행하였습니다.