20 Mar 2024, 14:00 - 15:00
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03/20/2024 02:00 PM
03/20/2024 03:00 PM
Europe/London
AI for Intelligent Sensing and Analysis of Underwater Environments
Artificial intelligence has significantly improved environmental awareness by continuously and unattended sensing various parameters.
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Artificial intelligence has significantly improved environmental awareness by continuously and unattended sensing various parameters.
Speaker:Dr Valsamis Ntouskos, National Technical University of Athens
Artificial intelligence has evolved immensely within the last few years enabling, among other tasks, the continuous and unattended sensing of various environmental parameters, improving the awareness regarding the state of important ecosystems. Nevertheless, underwater ecosystems continue to be vastly understudied due to the significant challenges they pose to the development, deployment, operation and communication of the sensors required to perform direct measurements or to collect data via remote sensing. In this talk, Dr Ntouskos will present a series of AI-based solutions based on underwater robotic technology, multispectral cameras and non-conventional imaging sensors, as well as radioactivity detectors and imagers, for the intelligent sensing and mapping of underwater environments.
Valsamis Ntouskos received the engineering diploma from the School of Rural and Surveying Engineering, National Technical University of Athens (NTUA), Athens, Greece, in 2006, the B.Sc. degree in electronics engineering in 2010, the M.S.E. degree in artificial intelligence and robotics in 2012, and the Ph.D. degree in computer engineering with honors in 2016 from the Sapienza University of Rome, Sapienza, Italy, working on “Inverse Problems Theory in Shape and Action Modeling.”From 2017 to 2020, he was Researcher with the Department of Computer, Control, and Management Engineering, Sapienza University of Rome. As of 2020, he is a Research Fellow with the Remote Sensing Lab, NTUA. He has several publications in top-tier international conferences and journals in the fields of machine learning and computer vision. His teaching and research interests include computer vision, remote sensing, machine learning and robotics, focusing on the design and development of autonomous perception and nonconventional imaging systems. Dr. Ntouskos serves as a Program Committee Member and reviewer for top rank international conferences and journals of his field. He has participated in several EU funded Research and Innovation projects on topics related to robotics and ICT.
Moderator: Dr Mingfeng Wang (Lecturer in Robotics and Autonomous Systems, Brunel University London)