Prof. Youxi Wu Hebei University of Technology, China

Biography: 

Youxi Wu received the Ph.D. degree in Theory and New Technology of Electrical Engineering from the Hebei University of Technology, Tianjin, China. He is currently the PhD Supervisor and a Professor with the Hebei University of Technology. He has published more than 30 research papers in some journals, such as IEEE TKDE, IEEE TCYB, ACM TKDD, ACM TMIS, SCIS, INS, JCST, KBS, ESWA, JIS, and APIN. He is a Distinguished Member of CCF and a senior member of IEEE. His current research interests include data mining and machine learning.

Title: Repetitive Sequential Pattern Mining and Its Application in Sequence Feature Extraction

Abstract:Traditional sequential pattern mining methods determine whether a pattern occurs in a sequence while ignoring its frequency of occurrence, making it difficult to effectively assess the importance of the pattern in the sequence. In contrast, repetitive sequential pattern mining calculates the frequency of a pattern's occurrence in the sequence and uses this frequency information to characterize the pattern, thereby more accurately reflecting the intrinsic structure of the sequence. Based on such pattern mining methods, efficient sequence feature extraction can be achieved. Further integration with classification or clustering models can achieve sequence data classification or clustering tasks, not only improving the performance of classification or clustering models but also enhancing their interpretability.

Prof. Shaoping Bai Aalborg University, Denmark

Biography: Shaoping Bai is a full professor at Department of Materials and Production, Aalborg University  (AAU), Denmark. His research interests include wearable sensors, medical and assistive robots, and exoskeletons. Prof. Bai has been the principal coordinators of several national and European research projects. He is a recipient of IEEE  CIS-RAM 2017 Best Paper Award, IFToMM MEDER 2018 Best Application Paper Award and WearRAcon2018 Grand Prize of Innovation Challenges. Prof. Bai was an associate editor of ASME J. of Mechanisms and Robotics, IEEE Robotics and Automation Letters, and is an associator editor of Robotica. He is the founder of BioX ApS, an AAU spin-off on wearable technologies. He is an elected member of IFToMM Executive Council and serves as a deputy chair of IFToMM Denmark.

Title: Development of wearable technologies for human-robot interaction research and applications

Abstract: Wearable technologies, including wearable sensors and exoskeletons, are being advanced rapidly for human-robot interaction research and applications in many areas. This talk will provide a brief overview of wearable technology development at the Exoskeleton Lab, AAU, addressing research challenges in assistive exoskeletons and wearable sensors.  Fundamental research issues including innovative mechanism design, physical human-exoskeleton interaction, sensing and control, and performance assessment will be covered. Novel designs and sensing methods will be presented. Systems of  upper-body and lower-body exoskeletons developed for rehabilitation and workplace assistance will be outlined. In addition, innovations of wearable sensors for general human-robot interfacing are introduced.

Prof. Takao Ito Hiroshima University, Japan

Biography: 

Takao Ito is Professor of Management of Technology (MOT) in Graduate School of Advanced Science and Engineering at Hiroshima University. He earned his doctor degree of Economics from Kyoto University and Ph. D. of Engineering from Miyazaki University, Japan. He is serving concurrently as Professor of Harbin Institute of Technology (HIT) at Weihai, China. 

Dr. Ito has published more than 360 papers in referred journals and proceedings, particularly in the area of MOT, robotics, and computer science. And he has successfully completed 27 academic research projects including 7 Grants-in-Aid for Scientific Research　(KAKENHI).　His current research interests include complexity　theory, MOT and network theory.

Dr. Ito is representative director of robot Artificial Life Society. And he also is Editor-in-Chief of Journal of Robotics, Networking and Artificial Life, and the member of editorial review board of other 7 international academic journals. 

Title: Discovering New Networked Robot Systems beyond Darwin' s Theory of Evolution

Abstract: Robot technology and its implementation research are popular today. And humanoid robot technology has become one of the hot issues. To discover the future direction of robot research and development, we checked the theoretical background of the evolutional Darwinism and found that strategic selection plays important role in our society compared with natural selection. Thus, not humanoid robots themselves, but the networked robot systems, as a future direction, will be expected as a future direction in network development. Moreover, a coup of real examples of networked robot technology have been introduced in this research.