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| Date: |
18 October 2023, Friday |
| Time: |
2:00pm to 4:00pm |
| Venue: |
School of Economics/School of Computing & Information Systems 2 (SOE/SCIS 2)
Level 4, Seminar Room 4-2,
Singapore Management University
90 Stamford Road, Singapore 178903
Please register by 15 October 2023.
We look forward to seeing you at this research seminar.
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The seminar/talks are co-organized by IEEE Computational Intelligence Society Singapore Chapter.
| Talk #1 |
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| Topic: |
Vision Perception for Intelligent Robots in 3D Space
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| Speaker: |
CHEN Shengyong, Professor, Tianjin University of Technology, China
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| Abstract: |
This talk presents the principles of 3D vision perception and some ongoing projects on robot vision, including object localization, segmentation, recognition, reconstruction, representation, feature extraction, target tracking, pattern analysis, etc. Examples of implementation are shown with practical intelligent systems, e.g. for self-localization of the robots, planning a path for tracking a person, classification of objects in industrial production, or interpretation of traffic events.. |
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| Talk #2 |
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| Topic: |
Explore the functional corticomuscular coupled information for medical devices and systems
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Speaker:
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LIU Honghai, Professor, Harbin Institute of Technology, China
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| Abstract: |
Functional corticomuscular coupled information plays a crucial role in human motion science and applications that requires joint multidisciplinary efforts such as brain science and rehabilitation. This talk attempts to present the past, current and future of funcaitonal corticomuscular information interaction and its role in human centred medical systems. One of the problems is that majority of motor performance is assessed by subjective qualitative assessments based on individual movement protocols. It is evident that there is no unified standardized motor function metrics technology, restricting a wide spectrum of applications such as stroke rehabilitation. This talk presents the research outcomes of the lab led by the speaker with a goal of developing a metric framework to measure brain-body interaction information. The talk is concluded with research directions and open discussions. |
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| Talk #3 |
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| Topic: |
Digital Twins for Vessel Life Cycle Service
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ZHANG Houxiang, Professor, Norwegian University of Science and Technology, Norway
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| Abstract: |
Digitalization has become a key aspect of making the maritime industries more innovative, efficient and fit for future operations. One of the most attractive aspects is the concept of digital twins, which refers to a digital replica of physical assets, processes and systems that can be used as advanced tools for design, operation, and maintenance. This paper introduces the development of the digital twin of the research vessel Gunnerus in Norway, which will be a significant scientific and operational achievement for the maritime industry, making efficient and safe offshore operations possible. It enables data exchange safely and easily between different sub-systems, modules, and various applications. Thus, the twin ship can provide an integrated view of the ship’s various physical and behavioral aspects in different stages, and allow simultaneous optimization of functional performance requirements. In addition, it enables advanced control and optimization, e.g., creating more reliable prediction for flexible objectives (time, output, emissions, fuel consumption), and executing day-ahead and long-term planning for operations. Several related applications are presented in the end to confirm the effectiveness of the digital twin ship system. |
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| ABOUT THE SPEAKER(S) |
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Prof. Shengyong Chen received the Ph.D. degree from City University of Hong Kong in 2003. He worked as a guest researcher at University of Hamburg, Germany, where he received a fellowship from the Alexander von Humboldt Foundation in 2006. He was a visiting professor at Imperial College London, from 2008 to 2009. He is currently a full Professor and Vice-President in Tianjin University of Technology. He is an IET Fellow and an IEEE senior member. His research interests include machine vision and robotics. He received the National Outstanding Youth Foundation Award of NSFC. He has applied over 100 patents and published over 400 scientific papers, including 100 in IEEE Transactions, and 5 Best Paper Awards from international organizations. His work received over 15000 citations in Google Scholar.
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Prof. Honghai Liu received his Ph.D from King’s College, University London, UK. He is a Chair Professor at Haribin Institue of Technology, Shenzhen, China. He previously held research appointments at King’s College London, University of Aberdeen, University of Portsmouth and project leader appointments in large-scale industrial control and system integration industry. He is interested in sensing and understanding for medical systems and applications with an emphasis on approaches that could make contribution to the intelligent connection of perception to action using contextual information. He has authored/co-authored more than 200 per-reviewed journals and conference papers. He is Member of Europe Academy of Sciences, IEEE Fellow.
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Prof. Zhang received his Ph.D. degree in Mechanical and Electronic Engineering in 2003. From 2004, he worked as Postdoctoral fellow, senior researcher at the Institute of Technical Aspects of Multimodal Systems (TAMS), Department of Informatics, Faculty of Mathematics Informatics and Natural Sciences, University of Hamburg, Germany. In Feb. 2011, he finished the Habilitation on Informatics at University of Hamburg. Dr. Zhang joined NTNU, Norway in April 2011 where he is a Professor on Mechatronics. From 2011 to 2016, Dr. Zhang also held a Norwegian national Gift Professorship on Product and system design funded by the Norwegian Maritime Centre of Expertise. In 2019, Prof. Zhang was elected a member of the Norwegian Academy of Technological Sciences.
Prof. Zhang has engaged into two main research areas, including control, optimization and AI application, especially on autonomous robotics and vehicles; and marine digitalization and ship intelligence. He has applied for and coordinated over 30 projects supported by the Norwegian Research Council (NFR), German Research Council (DFG), EU, and industry. In these areas, he has published over 300 journal and conference papers. Dr. Zhang has received four best paper awards, and six finalist awards for best conference paper at the international conference on Robotics and Automation. Currently, Prof. Zhang works as Associate Editor/Technical Editor for IEEE Robotics and Automation Magazine, IEEE/ASME Transactions on Mechatronics, IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, and IEEE Transactions on Intelligent Transportation Systems |
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