Virtual: https://events.vtools.ieee.org/m/538893

Title: Transforming Marine Science with Machine LearningSpeaker: Dr. Zonghua Liu (Robert Gordon University, UK)Abstract: Machine learning (ML), a subfield of artificial intelligence (AI), is centered on the development of computational systems that learn patterns and insights directly from data. Unlike traditional, rule-based programming, these algorithms autonomously improve their performance and accuracy through exposure to more information, effectively "learning" from experience without being explicitly coded for every scenario. The application of machine learning is rapidly transforming 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 professionals aiming to tackle the most pressing challenges in oceanography, ecology, and resource management. This presentation will illustrate this transformative potential through a series of concise case studies. We will explore how ML algorithms are being deployed for critical tasks such as classification, identification, segmentation, sizing and <a href="http://measurement.Biography:" target="_blank" title="measurement.Biography:">measurement.Biography: Dr. Zonghua Liu is now a Lecturer 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 the Secretary of the IEEE OES UKRI Chapter, and Technical Chair IEEE OES OCEANS 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 Engineering in the UK. His current research interests include but are not limited 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 reporting systems using AI and cloud computing. He has much research experience 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 Turing 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 <a href="http://reputation.Time:" target="_blank" title="reputation.Time:">reputation.Time: NST 9:30-11:00AM (UTC 13:00-14:30)Link: <a href="https://mun.webex.com/meet/weiminCohost:" target="_blank" title="https://mun.webex.com/meet/weiminCohost:">https://mun.webex.com/meet/weiminCohost: IEEE OES UK & RI ChapterSpeaker(s): Zonghua Liu, Virtual: https://events.vtools.ieee.org/m/538893