UK Symposium on Knowledge Discovery and Data Mining 2022

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<h3>SPEAKERS</h3><h3>Dr. Christoph Tholen (DFKI Marine Perception Group)</h3><h3>Dr. Xan Morice-Atkinson (University of Portsmouth)</h3>

<h3>AGENDA</h3><h3></h3><h3>6.00 p.m.: Arrival and Introduction</h3><h3>Dr. Frederic Stahl (DFKI: German Research Center for Artificial Intelligence)</h3><h3>6.10 p.m. to 6.40 p.m.</h3><h3>Dr. Christoph Tholen (DFKI Marine Perception Group)</h3><h3>Autonomous identification of submarine groundwater discharge from environmental in situ data</h3><h3>6.40 p.m. to 6.50 p.m. Discussion and Questions</h3><h3>6.50 p.m. to 7.20 p.m.</h3><h3>Dr. Xan Morice-Atkinson (University of Portsmouth)</h3><h3>Zooniverse - a tool for citizen science and more</h3><h3>7.20 p.m. to 7.30 p.m. Discussion and Questions</h3><h3>7.30 p.m. Close</h3><p></p>

<h3>SYNOPSIS</h3><h3>The UK Symposium on Knowledge Discovery and Data Mining series is intended to provide a forum for discussion, dissemination and exchange of ideas between practitioners and researchers working within the broad field of Knowledge Discovery and Data Mining (KDD).</h3><h3> It is organised on behalf of BCS SGAI - the BCS Specialist Group on Artificial Intelligence.</h3>

<h3><strong>SPEAKER BIOGRAPHIES</strong></h3><h3><strong>Dr. Christoph Tholen (DFKI Marine Perception Group)</strong></h3><h3>Dr. Christoph Tholen is a Researcher at the Marine Perception research group at the German Research Center for Artificial Intelligence. Previous to that he was a research associate at the Jade University of Applied Sciences in Wilhelmshaven Germany. </h3><h3>He has a background in mechanical engineering and in marine science specialising in the application of optimisation methods in autonomous underwater vehicles. His research areas are autonomous underwater vehicles, AI based plastic waste detection, and optimisation techniques for real world applications. He is currently involved in national and international projects for plastic waste detection and quantification using remote sensing techniques.</h3><h3></h3><h3><strong>Dr. Xan Morice-Atkinson (University of Portsmouth)</strong></h3><h3>Dr. Xan Morice-Atkinson is a Research Software Engineer at the Institute of Cosmology and Gravitation (ICG), University of Portsmouth.</h3><h3>Prior to that he worked as a Data Scientist at NATS Holdings (formerly National Air Traffic Services) where he helped to design and prototype their new cloud-based Business Intelligence platform.</h3><h3> He completed his PhD in 2018 at the ICG, where he used various machine learning techniques on astronomy datasets, focusing on finding out how the trained models worked, and where they broke down – opening the ‘black box’.</h3><h3>He is currently working on multiple projects at the ICG including a tool to search multiple astronomy datasets simultaneously.</h3>

<p><strong>Our events are for adults aged 16 years and over.</strong></p><p>BCS is a membership organisation. If you enjoy this event, please consider joining BCS. You’ll receive access to many exclusive career development tools, an introduction to a thriving professional community and also help us Make IT Good For Society. <strong>Join BCS today:</strong></p><p><a href="https://www.bcs.org/membership/events" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://www.bcs.org/membership/events</a></p>

<p><strong>THIS EVENT IS BROUGHT TO YOU BY:</strong></p><p>BCS Specialist Group on Artificial Intelligence.</p><p>Visit <a href="http://www.bcs-sgai.org/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">http://www.bcs-sgai.org/</a></p><p>picture by Marius Masalar<a href="https://www.bcs.org/membership-and-registrations/member-communities/pride-specialist-group/committee/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"></a><a href="https://www.bcs.org/membership-and-registrations/member-communities/pride-specialist-group/committee/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"></a></p>

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UK Symposium on Knowledge Discovery and Data Mining 2022

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