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DESCRIPTION:Title: Transforming Marine Science with Machine Learning\n\nSpe
 aker: Dr. Zonghua Liu (Robert Gordon University\, UK)\n\nAbstract: Machine
  learning (ML)\, a subfield of artificial intelligence (AI)\, is centered 
 on the development of computational systems that learn patterns and insigh
 ts directly from data. Unlike traditional\, rule-based programming\, these
  algorithms autonomously improve their performance and accuracy through ex
 posure to more information\, effectively &quot;learning&quot; from experience withou
 t being explicitly coded for every scenario. The application of machine le
 arning is rapidly transforming the field of marine science and technology.
  Its ability to process vast\, complex\, and multidimensional datasets mak
 es it an indispensable tool for modern marine research. Consequently\, pro
 ficiency in ML is no longer just an advantage but is becoming an essential
  skill for researchers and professionals aiming to tackle the most pressin
 g challenges in oceanography\, ecology\, and resource management. This pre
 sentation will illustrate this transformative potential through a series o
 f concise case studies. We will explore how ML algorithms are being deploy
 ed for critical tasks such as classification\, identification\, segmentati
 on\, sizing and measurement.\n\nBiography: Dr. Zonghua Liu is now a Lectur
 er in Robotics in the School of Computing\, Engineering and Technology at 
 the Robert Gordon University. He is a member of IEEE and IET. He is also t
 he Secretary of the IEEE OES UKRI Chapter\, and Technical Chair IEEE OES O
 CEANS 27 Aberdeen. He received his B.Eng. degree in Applied Physics\, M.SC
 . degree in Laser Technology degrees in China\, and Ph.D. degree in Engine
 ering in the UK. His current research interests include but are not limite
 d to robotics (e.g.\, underwater and medical)\, underwater/medical sensors
 \, optical fibre sensors\, computer vision\, machine-learning-based signal
  and image processing\, water/environment quality monitoring\, real-time r
 eporting systems using AI and cloud computing. He has much research experi
 ence in underwater sensors\, underwater optical imaging and sensing\, and 
 machine-learning-based image processing. He has a good track record and is
  often involved in national/international collaborations (researcher in a 
 UK-Japan project and an EU project\, Co-I in two Japan projects and a Turi
 ng Ecosystem Leadership Award). His work has been highly respected proven 
 by invitations as a speaker at international conferences/workshops. He has
  published 20+ papers in international journals and conference proceedings
  of high reputation.\n\nTime: NST 9:30-11:00AM (UTC 13:00-14:30)\n\nLink: 
 https://mun.webex.com/meet/weimin\n\nCohost: IEEE OES UK &amp; RI Chapter\n\nS
 peaker(s): Zonghua Liu\, \n\nVirtual: https://events.vtools.ieee.org/m/538
 893
LOCATION:Virtual: https://events.vtools.ieee.org/m/538893
ORGANIZER:weimin@mun.ca
SEQUENCE:25
SUMMARY:IEEE OES-GRSS NL chapter Invited Talk 1 (Feb. 24\, 2026)
URL;VALUE=URI:https://events.vtools.ieee.org/m/538893
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;TableParagraph&quot; style=&quot;margin-right
 : 0.15pt\; text-align: left\;&quot; align=&quot;center&quot;&gt;&lt;span style=&quot;font-family: &#39;t
 imes new roman&#39;\, times\, serif\; font-size: 14pt\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;
 color: black\;&quot;&gt;Title: Transforming Marine Science with Machine Learning&lt;/
 span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;TableParagraph&quot; style=&quot;margin-right: 
 0.15pt\; text-align: left\;&quot; align=&quot;center&quot;&gt;&lt;span style=&quot;font-family: &#39;tim
 es new roman&#39;\, times\, serif\; font-size: 14pt\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;co
 lor: black\;&quot;&gt;Speaker: Dr. Zonghua Liu (&lt;/span&gt;&lt;/strong&gt;&lt;strong&gt;&lt;span styl
 e=&quot;color: black\; mso-themecolor: text1\;&quot;&gt;Robert Gordon University\, UK)&lt;
 /span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;TableParagraph&quot; style=&quot;margin-right:
  0.15pt\; text-align: left\;&quot; align=&quot;center&quot;&gt;&lt;span style=&quot;font-family: &#39;ti
 mes new roman&#39;\, times\, serif\; font-size: 14pt\;&quot;&gt;&lt;strong style=&quot;mso-bid
 i-font-weight: normal\;&quot;&gt;&lt;span style=&quot;color: #232323\;&quot;&gt;Abstract:&lt;/span&gt;&lt;/
 strong&gt;&lt;span style=&quot;color: #232323\;&quot;&gt; Machine learning (ML)\, a subfield 
 of artificial intelligence (AI)\, is centered on the development of comput
 ational systems that learn patterns and insights directly from data. Unlik
 e traditional\, rule-based programming\, these algorithms autonomously imp
 rove their performance and accuracy through exposure to more information\,
  effectively &quot;learning&quot; from experience without being explicitly coded for
  every scenario. The application of machine learning is rapidly transformi
 ng the field of marine science and technology. Its ability to process vast
 \, complex\, and multidimensional datasets makes it an indispensable tool 
 for modern marine research. Consequently\, proficiency in ML is no longer 
 just an advantage but is becoming an essential skill for researchers and p
 rofessionals aiming to tackle the most pressing challenges in oceanography
 \, ecology\, and resource management. This presentation will illustrate th
 is transformative potential through a series of concise case studies. We w
 ill explore how ML algorithms are being deployed for critical tasks such a
 s classification\, identification\, segmentation\, sizing and measurement.
 &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;TableParagraph&quot; style=&quot;margin-right: 0.15pt\
 ; text-align: left\;&quot; align=&quot;center&quot;&gt;&lt;span style=&quot;font-family: &#39;times new 
 roman&#39;\, times\, serif\; font-size: 14pt\;&quot;&gt;&lt;strong style=&quot;mso-bidi-font-w
 eight: normal\;&quot;&gt;&lt;span style=&quot;color: #232323\;&quot;&gt;Biography&lt;/span&gt;&lt;/strong&gt;&lt;
 span style=&quot;color: #232323\;&quot;&gt;:&lt;span style=&quot;letter-spacing: -.5pt\;&quot;&gt; &lt;/sp
 an&gt;Dr. Zonghua Liu is now a Lecturer in &lt;/span&gt;&lt;span style=&quot;color: #232323
 \; mso-fareast-language: ZH-CN\;&quot;&gt;Robotics&lt;/span&gt;&lt;span style=&quot;color: #2323
 23\;&quot;&gt; in the School of &lt;/span&gt;&lt;span style=&quot;color: #232323\; mso-fareast-l
 anguage: ZH-CN\;&quot;&gt;Computing\, &lt;/span&gt;&lt;span style=&quot;color: #232323\;&quot;&gt;Engine
 ering&lt;/span&gt;&lt;span style=&quot;color: #232323\; mso-fareast-language: ZH-CN\;&quot;&gt; 
 and Technology&lt;/span&gt;&lt;span style=&quot;color: #232323\;&quot;&gt; at the Robert Gordon 
 University. He is a member of IEEE and IET. He is also &lt;/span&gt;&lt;span style=
 &quot;color: #232323\; mso-fareast-language: ZH-CN\;&quot;&gt;the Secretary&lt;/span&gt;&lt;span
  style=&quot;color: #232323\;&quot;&gt; of the IEEE OES UKRI Chapter&lt;/span&gt;&lt;span style=
 &quot;color: #232323\; mso-fareast-language: ZH-CN\;&quot;&gt;\, and Technical Chair IE
 EE OES OCEANS 27 Aberdeen&lt;/span&gt;&lt;span style=&quot;color: #232323\;&quot;&gt;. He receiv
 ed his B.Eng. degree in Applied Physics\, M.SC. degree in Laser Technology
  degrees in China\, and Ph.D. degree in Engineering &lt;/span&gt;&lt;span style=&quot;co
 lor: #232323\; mso-fareast-language: ZH-CN\;&quot;&gt;in the&lt;/span&gt;&lt;span style=&quot;co
 lor: #232323\;&quot;&gt; UK. His current research interests include but are not li
 mited to robotics (e.g.\, underwater and medical)\, underwater/medical sen
 sors\, optical fibre sensors\, computer vision\, machine-learning-based si
 gnal and image processing\, water/environment quality monitoring\, real-ti
 me reporting system&lt;/span&gt;&lt;span style=&quot;color: #232323\; mso-fareast-langua
 ge: ZH-CN\;&quot;&gt;s&lt;/span&gt;&lt;span style=&quot;color: #232323\;&quot;&gt; using AI and cloud co
 mputing.&lt;/span&gt;&lt;span style=&quot;color: #232323\; letter-spacing: -.5pt\; mso-f
 areast-language: ZH-CN\;&quot;&gt; &lt;/span&gt;&lt;span style=&quot;color: #232323\;&quot;&gt;He has mu
 ch research experience in underwater sensors\, underwater optical imaging 
 and sensing\, and machine-learning-based image processing.&lt;/span&gt;&lt;span sty
 le=&quot;color: #232323\; mso-fareast-language: ZH-CN\;&quot;&gt; &lt;/span&gt;&lt;span style=&quot;c
 olor: #232323\;&quot;&gt;He has a good track record and is often involved in natio
 nal/international collaborations (researcher in a UK-Japan project and an 
 EU project\, Co-I in two Japan projects and a Turing Ecosystem Leadership 
 Award). His work has been highly respected proven by invitations as a spea
 ker at international conferences/workshops. He has published &lt;/span&gt;&lt;span 
 style=&quot;color: #232323\; mso-fareast-language: ZH-CN\;&quot;&gt;20+ papers &lt;/span&gt;&lt;
 span style=&quot;color: #232323\;&quot;&gt;in international journals &lt;/span&gt;&lt;span style
 =&quot;color: #232323\; mso-fareast-language: ZH-CN\;&quot;&gt;and &lt;/span&gt;&lt;span style=&quot;
 color: #232323\;&quot;&gt;conference proceedings&lt;/span&gt;&lt;span style=&quot;color: #232323
 \; mso-fareast-language: ZH-CN\;&quot;&gt; of &lt;/span&gt;&lt;span style=&quot;color: #232323\;
 &quot;&gt;high&lt;/span&gt;&lt;span style=&quot;color: #232323\; mso-fareast-language: ZH-CN\;&quot;&gt;
  &lt;/span&gt;&lt;span style=&quot;color: #232323\;&quot;&gt;reputatio&lt;/span&gt;&lt;span style=&quot;color:
  #232323\; mso-fareast-language: ZH-CN\;&quot;&gt;n.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;
 TableParagraph&quot; style=&quot;margin-right: 0.15pt\; text-align: left\;&quot; align=&quot;c
 enter&quot;&gt;&lt;span style=&quot;color: rgb(35\, 35\, 35)\; font-family: &#39;times new rom
 an&#39;\, times\, serif\; font-size: 14pt\;&quot;&gt;&lt;strong&gt;Time: &lt;/strong&gt;NST 9:30-1
 1:00AM (UTC 13:00-14:30)&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;TableParagraph&quot; style=&quot;marg
 in-right: 0.15pt\; text-align: left\;&quot; align=&quot;center&quot;&gt;&lt;span style=&quot;color: 
 rgb(35\, 35\, 35)\; font-family: &#39;times new roman&#39;\, times\, serif\; font-
 size: 14pt\;&quot;&gt;&lt;strong&gt;Link:&lt;/strong&gt; &lt;span style=&quot;color: black\; backgroun
 d: white\;&quot;&gt;&lt;a href=&quot;https://mun.webex.com/meet/weimin&quot;&gt;https://mun.webex.
 com/meet/weimin&lt;/a&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;TableParagraph&quot; style=&quot;ma
 rgin-right: 0.15pt\; text-align: left\;&quot; align=&quot;center&quot;&gt;&lt;span style=&quot;color
 : rgb(35\, 35\, 35)\; font-family: &#39;times new roman&#39;\, times\, serif\; fon
 t-size: 14pt\;&quot;&gt;&lt;span style=&quot;color: black\; background: white\;&quot;&gt;&lt;strong&gt;C
 ohost:&lt;/strong&gt; IEEE OES UK &amp;amp\; RI Chapter&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
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