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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170221T140000
DTEND;TZID=Asia/Macau:20170221T150000
DTSTAMP:20260513T121722
CREATED:20170221T060057Z
LAST-MODIFIED:20220927T045326Z
UID:6049-1487685600-1487689200@www.fst.um.edu.mo
SUMMARY:Intelligent Service Robot: Opportunity and Challenge
DESCRIPTION:Instructors/Speakers\nProf. Zhi LIU\nSchool of Automation\nGuangdong University of Technology\nChina \nAbstract\nWith 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. \nBiography\nDr. Liu received his PhD degree in Electrical Engineering from Tsinghua University in January 2004 He has been with the School of Automation at Guangdong University of Technology since 2005 and was Professor in 2009. His research interests include computational intelligence\, intelligent control\, robot systems and technology. Dr. Liu was the recipient of the First Prize of Progress Award issued by Ministry of Education Science and Technology in 2008. He was supported by NSFC three times\, Ministry of Education Fok Ying Tung Education Foundation in 2010\, Guangzhou Zhujiang New Star in 2011\, Science Fund for Distinguished Young Scholars of Guangdong Province in 2012\, New Century Excellent Talent issued by Ministry of Education in 2012. Dr. Liu has published over 80 papers in the international journals and conferences\, includes 32 IEEE Trans papers\, 9 granted patents for invention. \n 
URL:https://www.fst.um.edu.mo/event/intelligent-service-robot-opportunity-and-challenge/
LOCATION:E11-4045
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170221T163000
DTEND;TZID=Asia/Macau:20170221T173000
DTSTAMP:20260513T121723
CREATED:20170221T083018Z
LAST-MODIFIED:20220927T045325Z
UID:6054-1487694600-1487698200@www.fst.um.edu.mo
SUMMARY:Control for Intelligent Manufacturing – a multi-scale challenge
DESCRIPTION:Instructors/Speakers\nProf. Han-Xion LI\nDepartment of Systems Engineering and Engineering Management\nCollege of Science and Engineering\nCity University of Hong Kong\nHong Kong \nAbstract\nChina 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. \nThe presentation will discuss several fundamental issues related to the intelligent manufacturing. \n\nFor the multi-time scale system\, the dynamic design should be conducted to make the system robust to disturbance without control at the fast scale\, while at the slow scale\, the statistics-based control will be designed to maintain the consistent performance. Integrated design and control has been a challenge.\nFor the spatially distributed dynamic system\, the uniform temporal performance is required over the entire spatial domain. This strong space/time coupled dynamics makes the modeling and control extremely difficult\, particularly under the limited sensing and actuating. The spatio-temporal modeling and control can be effectively developed using space/time separation based intelligent approach.\nIntelligent manufacturing will need the decision system for the high-level supervision and management. In difference to the low-level control action\, the high-level decision is required to handle human knowledge under uncertainties. The probabilistic-fuzzy system would be a useful platform as it possesses the capability to produce linguistic rules under both deterministic uncertainty and stochastic variation.\n\nControl action will be different at different scales. More design is required at the fast time scale\, and more control is needed at the slow time scale. More quantitative action is required at the low-level operation\, while more qualitative action is needed at the high-level supervision. The systematic work in this area should be built in a bottom-up approach\, step by step from dynamic design\, process control\, intelligent supervision\, up to plant-wide management control etc.. This is a multi-scale challenge. \nBiography\nHan-Xiong LI (李涵雄) received his B.E. degree in aerospace engineering from the National University of Defence Technology\, China\, M.E. degree in electrical engineering from Delft University of Technology\, Delft\, The Netherlands\, and Ph.D. degree in electrical engineering from the University of Auckland\, Auckland\, New Zealand. Currently\, he is a full professor in the Department of Systems Engineering and Engineering Management\, the City University of Hong Kong. Over the last thirty years\, he has had opportunities to work in different fields\, including military service\, investment\, industry\, and academia. His current research is in the field of intelligent manufacturing\, with special interest on system intelligence and control\, distributed parameter systems\, intelligent learning and decision informatics. He authored 2 books and published over 180 SCI journal papers with h-index 34 (ISI web of science). He was rated as highly cited Chinese scholar by Elsevier in 2014 & 2015.Dr. Li serves as Associate Editor for IEEE Transactions on Systems\, Man & Cybernetics: Systems (2016 – )\, IEEE Transactions on Cybernetics (2002 – 2016)\, and IEEE Transactions on Industrial Electronics (2009-2015). He was awarded the Distinguished Young Scholar (overseas) by the China National Science Foundation in 2004\, a Chang Jiang professor by the Ministry of Education\, China in 2006\, and a national professorship in China Thousand Talents Program in 2010. He serves as the distinguished expert for Hunan Government and China Federation of Returned Overseas. He is a fellow of the IEEE. \n 
URL:https://www.fst.um.edu.mo/event/control-for-intelligent-manufacturing-a-multi-scale-challenge/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170221T173000
DTEND;TZID=Asia/Macau:20170221T183000
DTSTAMP:20260513T121723
CREATED:20170221T093051Z
LAST-MODIFIED:20220927T044404Z
UID:6063-1487698200-1487701800@www.fst.um.edu.mo
SUMMARY:Research on Cognitive Modeling and Collaborative Behaviors Analysis in the Era of Big Data
DESCRIPTION:Instructors/Speakers\nProf. En-Hong CHEN\nSchool of Computer Science\nUniversity of Science of Technology of China\nChina \nAbstract\nThe 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. \nBiography\nDr. Enhong Chen is currently a professor and vice Dean of School of Computer Science\, the vice Director of the National Engineering Laboratory for Speech and Language Information Processing at University of Science and Technology of China (USTC). He is the Distinguished Young Scholar of the National Natural Science Foundation of China.His research interests include data mining and machine learning\, social network analysis and recommender systems. He has published over 100 papers in refereed journals and conferences\, including TKDE\, TMC\, TKDD\, TIST\, IJCAI\, AAAI\, KDD\, ICDM\, CIKM and Nature Communications. He is an associate editor of WWW Journal\, IEEE Transactions on Systems\, Man\, and Cybernetics: Systems\,etc. He was on program committees of numerous conferences including IJCAI\, AAAI\, KDD\, ICDM\, SDM. He was a PC Chair of China Conference of Data Mining (CCDM) 2014\, China National Computer Conference (CNCC) 2015. He received the Best Application Paper Award on KDD’08\, the Best Research Paper Award on ICDM’11 and the Best of SDM’15 Award. Also\, he is an IEEE senior member since 2007\, Fellow of China Computer Federation (CCF). \n 
URL:https://www.fst.um.edu.mo/event/research-on-cognitive-modeling-and-collaborative-behaviors-analysis-in-the-era-of-big-data/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170227T110000
DTEND;TZID=Asia/Macau:20170227T120000
DTSTAMP:20260513T121723
CREATED:20170227T030037Z
LAST-MODIFIED:20220927T044404Z
UID:6068-1488193200-1488196800@www.fst.um.edu.mo
SUMMARY:Enabling Secure Outsourced Middlebox Services
DESCRIPTION:Instructors/Speakers\nDr. Cong WANG\nCity University of Hong Kong \nAbstract\nModern 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 of our recent research efforts towards secure outsourced middlebox services. Our first challenge is to ensure that those middleboxes consistently perform network functions as intended. Practical assurance mechanisms have to be designed to enforce both individual middleboxes and middlebox service chains to process packets via designated functions. As redirecting traffic to service providers would further raise privacy concerns on the unwanted exposure of traffic flows\, I will also discuss our initial efforts on privacy-preserving deep packet inspection in outsourced middleboxes. Finally\, along the line I will talk about some possible future research directions. \nBiography\nCong Wang has been an Assistant Professor at the Department of Computer Science\, City University of Hong Kong\, since the Summer of 2012. He received his PhD in the Electrical and Computer Engineering from Illinois Institute of Technology\, USA\, in 2012\, M.Eng in Communication and Information System in 2007\, and B.Eng in Electronic Information Engineering in 2004\, both from Wuhan University\, China. His current research interests include data and computation outsourcing security in the context of cloud computing\, network security in emerging Internet architecture\, multimedia security and its applications\, and privacy-enhancing technologies in the context of big data and IoT. He has published frequently in peer-reviewed journal and conference papers. His H-index is 23\, and his total citation has exceeded 10\,000\, according to Google Scholar (as of Jan. 2017). He received the President’s Awards\, City University of Hong Kong in 2016\, the Best Paper Award of IEEE MSN 2015 and CHINACOM 2009. His research has been supported by multiple government research fund agencies\, including National Natural Science Foundation of China\, Hong Kong Research Grants Council\, and Hong Kong Innovation and Technology Commission. He has been serving as the TPC co-chairs for a number of IEEE conferences/workshops. He is a member of IEEE and ACM. \n 
URL:https://www.fst.um.edu.mo/event/enabling-secure-outsourced-middlebox-services/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
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