BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260605T064055Z UID:2EF5EA9F-AECE-4A47-A8CE-86E43174983F DTSTART;TZID=Europe/Rome:20260512T110000 DTEND;TZID=Europe/Rome:20260512T121000 DESCRIPTION:DR XIAOFENG LI\n\nINSTITUTE OF OCEANOLOGY\, CHINESE ACADEMY OF SCIENCES\, QINGDAO\, CHINA\n\nRECENT ADVANCES IN ARTIFICIAL INTELLIGENCE O CEANOGRAPHY\n\nABOUT THE SEMINAR\n\nArtificial intelligence (AI) has becom e a major driving force behind the new wave of scientific and technologica l innovation\, particularly through its close integration with big data te chnologies. In oceanography\, AI offers significant advantages for analyzi ng and understanding the complex ocean environment. Traditional oceanograp hic modeling has often relied heavily on prior knowledge and empirical ass umptions. In contrast\, data-driven approaches now enable researchers to t ransform massive volumes of observational data into more reliable and effi cient scientific information. This transformation is opening new opportuni ties for deeper investigations into oceanic phenomena and processes. This lecture will introduce recent advances in the application of AI technologi es in oceanography\, including developments in AI-based ocean forecasting\ , remote sensing\, data reconstruction\, and the emerging field of large o cean models.\n\nABOUT THE SPEAKER\n\nXiaofeng Li is an IEEE Fellow\, Fello w of the Asia-Pacific Artificial Intelligence Association\, and Fellow of the Electromagnetics Academy. He received his bachelor’s degree from Zhe jiang University and his Ph.D. degree from North Carolina State University .\n\nDr. Li worked at the National Oceanic and Atmospheric Administration (NOAA) in the USA for more than 20 years\, where his research focused on s atellite oceanography\, big data\, and artificial intelligence. He is curr ently a Research Professor at the Institute of Oceanology\, Chinese Academ y of Sciences\, serving\n\nas Chief Scientist of Artificial Intelligence O ceanography and Chief Engineer of the Big Data Center.\nHe also serves as Associate Editor of IEEE Transactions on Geoscience and Remote Sensing (TG RS)\, Editor of JGR: Machine Learning and Computation\, and Executive Edit or-in-Chief of Journal of Remote Sensing. He has edited and published thre e books and authored more than 300 SCI-indexed journal papers\n\nSpeaker(s ): \, Xiaofeng\n\nAgenda: \nON TUESDAY\, 12 MAY\n\nhttps://meet.google. co m/vea-bkkv-msy\n\n11:00 - 12:00 AM CEST\n\nVirtual: https://events.vtools. ieee.org/m/559096 LOCATION:Virtual: https://events.vtools.ieee.org/m/559096 ORGANIZER:ferdinando.nunziata@uniroma1.it SEQUENCE:3 SUMMARY:RECENT ADVANCES IN ARTIFICIAL INTELLIGENCE OCEANOGRAPHY URL;VALUE=URI:https://events.vtools.ieee.org/m/559096 X-ALT-DESC:Description: <br /><div class="page" title="Page 1">\n<div class ="section">\n<div class="layoutArea">\n<div class="column">\n<div class="p age" title="Page 1">\n<div class="section">\n<div class="layoutArea">\n<di v class="column">\n<p>DR XIAOFENG LI</p>\n<p>INSTITUTE OF OCEANOLOGY\, CHI NESE ACADEMY OF SCIENCES\, QINGDAO\, CHINA</p>\n<p>&nbsp\;</p>\n<p>RECENT ADVANCES IN ARTIFICIAL INTELLIGENCE OCEANOGRAPHY</p>\n<p>&nbsp\;</p>\n</di v>\n</div>\n</div>\n</div>\n<p>ABOUT THE SEMINAR</p>\n<p>Artificial intell igence (AI) has become a major driving force behind the new wave of scient ific and technological innovation\, particularly through its close integra tion with big data technologies. In oceanography\, AI offers significant a dvantages for analyzing and understanding the complex ocean environment. T raditional oceanographic modeling has often relied heavily on prior knowle dge and empirical assumptions. In contrast\, data-driven approaches now en able researchers to transform massive volumes of observational data into m ore reliable and efficient scientific information. This transformation is opening new opportunities for deeper investigations into oceanic phenomena and processes. This lecture will introduce recent advances in the applica tion of AI technologies in oceanography\, including developments in AI-bas ed ocean forecasting\, remote sensing\, data reconstruction\, and the emer ging field of large ocean models.</p>\n<p>&nbsp\;</p>\n<p>ABOUT THE SPEAKE R</p>\n<div class="page" title="Page 1">\n<table><colgroup><col><col> </co lgroup>\n<tbody>\n<tr>\n<td>&nbsp\;</td>\n<td>&nbsp\;</td>\n</tr>\n<tr>\n< td colspan="2" rowspan="1">\n<div class="layoutArea">\n<div class="column" >\n<p>Xiaofeng Li is an IEEE Fellow\, Fellow of the Asia-Pacific Artificia l Intelligence Association\, and Fellow of the Electromagnetics Academy. H e received his bachelor&rsquo\;s degree from Zhejiang University and his P h.D. degree from North Carolina State University.</p>\n<p>Dr. Li worked at the National Oceanic and Atmospheric Administration (NOAA) in the USA for more than 20 years\, where his research focused on satellite oceanography \, big data\, and artificial intelligence. He is currently a Research Prof essor at the Institute of Oceanology\, Chinese Academy of Sciences\, servi ng</p>\n</div>\n</div>\n</td>\n</tr>\n<tr>\n<td colspan="2" rowspan="1">\n <div class="layoutArea">\n<div class="column">\n<p>as Chief Scientist of A rtificial Intelligence Oceanography and Chief Engineer of the Big Data Cen ter.<br>He also serves as Associate Editor of IEEE Transactions on Geoscie nce and Remote Sensing (TGRS)\, Editor of JGR: Machine Learning and Comput ation\, and Executive Editor-in-Chief of Journal of Remote Sensing. He has edited and published three books and authored more than 300 SCI-indexed j ournal papers</p>\n</div>\n</div>\n</td>\n</tr>\n</tbody>\n</table>\n</div >\n</div>\n</div>\n</div>\n</div><br /><br />Agenda: <br /><div class="pag e" title="Page 1">\n<div class="section">\n<div class="layoutArea">\n<div class="column">\n<p>ON TUESDAY\, 12 MAY</p>\n<div class="page" title="Page 1">\n<div class="section">\n<div class="layoutArea">\n<div class="column" >\n<p>https://meet.google. com/vea-bkkv-msy</p>\n<p>&nbsp\;</p>\n<div clas s="page" title="Page 1">\n<div class="section">\n<div class="layoutArea">\ n<div class="column">\n<p>11:00 - 12:00 AM CEST</p>\n</div>\n</div>\n</div >\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div> END:VEVENT END:VCALENDAR