Instructors/Speakers Prof. Zhi LIU School of Automation Guangdong University of Technology China Abstract With the development of the crossed-research realm which involves the information science, mechanical engineering and material science, robotic systems have promising application potential and strong market demand in assisting or even replacing human labors. Therefore, researches on robotic systems have not only a bright application prospect, but also a significant academic value. This report provides the recent progress on service robots, which contain high degrees of freedom and require strongly coupled motion/force analyses. Researches are launched to tackle uncertainties including dynamical nonlinearities and motion constraints in robotic systems and to improve the control performances. Biography Dr. Liu received his PhD degree in Electrical Engineering from Tsinghua University ...

Instructors/Speakers Prof. Han-Xion LI Department of Systems Engineering and Engineering Management College of Science and Engineering City University of Hong Kong Hong Kong Abstract China Industry 2025 will require full automation in all sectors from customer up to the production. This will bring great challenge to all sectors in manufacturing systems. All the device and systems in the future manufacturing should have capabilities of sensing and basic intelligence for control and adaptation. This will require the control action to be distributed, and to be integrated with different approaches including system design and intelligence-based method. The presentation will discuss several fundamental issues related to the intelligent manufacturing. For the multi-time scale system, the dynamic design should be conducted to make the ...

Instructors/Speakers Prof. En-Hong CHEN School of Computer Science University of Science of Technology of China China Abstract The era of big data raises numerous behavior records of social entities, which results in a serious challenge to traditional analytic techniques because of the correlation between big data and social characteristics. Therefore, the way of exploiting domain knowledge for precisely understanding the social entities have become research hotspots in the literature. In this report, we will first demonstrate the multiple-dimensional description of social entities, and then introduce our research studies on two main issues, i.e., the cognitive modeling and the collaborative behaviors analysis of individuals. Biography Dr. Enhong Chen is currently a professor and vice Dean of School of Computer Science, the ...

Instructors/Speakers Dr. Cong WANG City University of Hong Kong Abstract Modern enterprise networks heavily rely on the ubiquitous network middleboxes for advanced traffic-processing functions, such as intrusion detection, web application firewalls, and load balancers. Recent advances in software packet processing and virtualization technologies are further pushing forward the paradigm of migrating middleboxes to third-party providers, e.g., clouds and ISPs, as virtualized services, with well-understood benefits on reduced maintenance cost and increased service scalability. Despite promising, this new paradigm of middlebox services also raises fundamental security challenges. This is majorly because the network traffic is now redirected to and processed by service providers, which are not necessarily in the same trust domain as enterprises. In this talk, I will present some ...

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