{"id":17555,"date":"2025-07-17T16:53:20","date_gmt":"2025-07-17T08:53:20","guid":{"rendered":"https:\/\/cde.nus.edu.sg\/cfisg\/?page_id=17555"},"modified":"2025-08-06T14:39:01","modified_gmt":"2025-08-06T06:39:01","slug":"prof-changhyun-jun-seminar","status":"publish","type":"page","link":"https:\/\/cde.nus.edu.sg\/cfisg\/events\/prof-changhyun-jun-seminar\/","title":{"rendered":"CFI Seminar by Prof Changhyun Jun"},"content":{"rendered":"\n\n\t\t\t\t\"A\n

\n\t\tCFI Seminar by A\/Professor Changhyun Jun\n\t<\/h2>\n\t

Integrating AI, Remote Sensing, and IoT for Advanced Rainfall Analysis: Toward Urban Flood Risk Reduction and Regional Hydrological Resilience<\/em><\/strong><\/p>\n

Hosted by<\/p>\n

Professor Simone Fatichi,\u00a0<\/strong><\/p>\n

Department of Civil & Environmental Engineering \/ Coastal Protection and Flood Resilience Singapore<\/strong><\/p>\n

Date\/Time:<\/p>\n

1 August 2025 | 9:30AM-10:30AM<\/strong><\/p>\n

Venue:<\/p>\n

National University of Singapore <\/strong><\/p>\n

EA-06-02<\/strong><\/p>\n

Engineering Auditorium (EA), Level 6, <\/strong><\/p>\n

9 Engineering Drive 1, Singapore 117575\u00a0<\/strong><\/p>\n

Notes:<\/strong><\/p>\n

    \n
  1. Please feel free to reach out at cfisg@nus.edu.sg for any queries.\u00a0<\/em><\/li>\n<\/ol>\n

     <\/p>\n\t

    Seminar has concluded. Please refer to the Event Wrap-up below.<\/strong><\/p>\n

    \n\t\tAbstract\n\t<\/h2>\n\t

    This presentation explores the advancement of rainfall analysis through the integration of artificial intelligence (AI), remote sensing, and IoT-based observation, with applications spanning from urban flood risk reduction to regional hydrological resilience. Building on high-resolution precipitation data and sensor networks, this work demonstrates how AI (e.g., deep learning models, image fusion techniques, etc.) improves the accuracy of rainfall estimation over conventional approaches. In addition, the presentation highlights recent developments in rainfall frequency analysis using short-duration data, where bivariate and nonstationary models have been employed to enhance the reliability of design rainfall estimation under changing climatic and urban conditions. By combining statistical frequency approaches with spatiotemporal monitoring from satellite and IoT sensors, this research establishes a multi-scale framework for early warning, flood mapping, and infrastructure design. The integrated methodology not only supports real-time flood forecasting in urban environments but also contributes to long-term regional planning for climate adaptation and water system resilience.<\/p>\n

    \n\t\tEvent Wrap-Up\n\t<\/h2>\n\tThe Coastal Protection and Flood Resilience Institute (CFI Singapore) was pleased to host Assoc. Prof. Changhyun Jun<\/strong> from Korea University for a seminar on Integrating AI, Remote Sensing, and IoT for Advanced Rainfall Analysis: Toward Urban Flood Risk Reduction and Regional Hydrological Resilience<\/em>.\nAssoc. Prof. Jun, who leads the HydroMeteorology Sciences (HyMetS) Group<\/strong>, presented his team’s latest research on harnessing cutting-edge technologies-artificial intelligence<\/strong>, satellite-based remote sensing<\/strong>, and IoT sensor networks<\/strong>-to transform urban flood risk assessment and regional water resilience.\n

    Key highlights from the session included:<\/h4>\n
      \n
    • \nApplications of deep learning and image fusion<\/strong> techniques to improve rainfall estimation in urban settings\n<\/li>\n
    • \nUse of nonstationary and bivariate rainfall frequency models<\/strong> to better account for changing climatic and urbanisation patterns\n<\/li>\n
    • \nA multi-scale framework<\/strong> integrating real-time sensor data and remote sensing for early warning systems and infrastructure planning\n<\/li>\n<\/ul>\nThe session drew researchers, engineers, and practitioners working in hydrology, climate adaptation, and urban water systems, and sparked productive discussion on the role of data-driven tools in supporting resilient infrastructure.\nWe thank Assoc. Prof. Jun for sharing his insights and contributions to this vital area of research and look forward to continued collaboration in advancing smart and sustainable solutions for flood-prone cities.\n

      spatiotemporal monitoring from satellite and IoT sensors, this research establishes a multi-scale framework for early warning, flood mapping, and infrastructure design. The integrated methodology not only supports real-time flood forecasting in urban environments but also contributes to long-term regional planning for climate adaptation and water system resilience.<\/p>\n

      \n\t\tAbout Speaker\n\t<\/h2>\n\t\t\t\t\"prof_changhyun_jun\"\n\t

      Dr. Changhyun Jun<\/strong><\/p>\n

      Associate Professor<\/strong><\/em><\/p>\n

      School of Civil, Environmental and Architectural Engineering<\/strong><\/em><\/p>\n

      Korea University, Seoul, Republic of Korea<\/strong><\/em><\/p>\n

      Changhyun Jun is an associate professor at the school of civil, environmental, and architectural engineering, Korea University (KU), Seoul, Republic of Korea. He received the B.S. and Ph.D. in the school of civil, environmental, and architectural engineering from Korea University (KU), Seoul, Republic of Korea, in 2010 and 2014, respectively. As a leader of the HydroMeteorology Sciences (HyMetS) Group at KU, he has focused on measurement and analyses of hydrometeorological processes over a various range of spatial and temporal scales for water and climate sensitive digital earth for mankind. He published numerous SCIE journal papers during the last three years, by conducting state-of-the-art research, collaborating with stakeholders, and inspiring the next generation of environmental leaders. Now, he is at the forefront of hydrometeorological research, dedicated to unraveling the intricacies of Earth’s water and climate systems in Republic of Korea.<\/p>\n

       <\/p>\n\t\t\t\t\"\"\n\n","protected":false},"excerpt":{"rendered":"

      CFI Seminar by A\/Professor Changhyun Jun Integrating AI, Remote Sensing, and IoT for Advanced Rainfall Analysis: Toward Urban Flood Risk Reduction and Regional Hydrological Resilience Hosted by Professor Simone Fatichi,\u00a0 Department of Civil & Environmental Engineering \/ Coastal Protection and Flood Resilience Singapore Date\/Time: 1 August 2025 | 9:30AM-10:30AM Venue: National University of Singapore EA-06-02 […]<\/p>\n","protected":false},"author":335,"featured_media":0,"parent":15891,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-17555","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/pages\/17555","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/users\/335"}],"replies":[{"embeddable":true,"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/comments?post=17555"}],"version-history":[{"count":4,"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/pages\/17555\/revisions"}],"predecessor-version":[{"id":17598,"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/pages\/17555\/revisions\/17598"}],"up":[{"embeddable":true,"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/pages\/15891"}],"wp:attachment":[{"href":"https:\/\/cde.nus.edu.sg\/cfisg\/wp-json\/wp\/v2\/media?parent=17555"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}