{"id":134,"date":"2022-06-02T08:04:38","date_gmt":"2022-06-02T08:04:38","guid":{"rendered":"https:\/\/people.utm.my\/henrykang\/?page_id=134"},"modified":"2025-10-08T12:12:06","modified_gmt":"2025-10-08T12:12:06","slug":"niche","status":"publish","type":"page","link":"https:\/\/people.utm.my\/henrykang\/niche\/","title":{"rendered":"Niche"},"content":{"rendered":"\r\n
<\/div><\/div>\r\n

Maritime AI<\/strong><\/h1>\r\n

Intelligence for Sustainable and Resilient Ocean Systems<\/strong><\/p>\r\n

\"\"<\/p>\r\n

The research group actively advances the integration of Artificial Intelligence (AI)<\/strong> into the maritime <\/strong>sector, addressing complex challenges in navigation safety<\/strong>, offshore renewable energy<\/strong>, maritime decarbonization<\/strong>, and marine environmental protection<\/strong>.<\/p>\r\n

At the core of this effort is the Maritime AI <\/strong>niche, which bridges marine engineering, data science, and sustainability science to enable smart, carbon-efficient, and resilient ocean systems. The group\u2019s work is supported by strong international collaborations, and is reflected through publications in high-impact journals. Its involvement in major international and national research initiatives further underscores its role in contributing to the digital transformation and sustainable innovation of the global maritime domain.<\/p>\r\n

\"\"<\/p>\r\n

(\u00a9 Kang, 2025. All rights reserved.)<\/em><\/p>\r\n

1. AI\u2013Enabled Maritime Navigation Intelligence\u00a0<\/strong><\/h4>\r\n

This research utilizes AIS data<\/strong> and deep learning<\/strong> to develop\u00a0frameworks for vessel maneuvering and marine traffic management in congested waterways such as the Straits of Malacca and Singapore<\/strong>. A key flagship initiative is the Norway\u2013ASEAN Marine Traffic Network (2022\u20132026)<\/em>, which focuses on risk-aware AIS data sharing to enhance navigational safety and promote digitalized maritime infrastructure across Southeast Asia.<\/p>\r\n