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TZID:Asia/Macau
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TZOFFSETFROM:+0800
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170525T103000
DTEND;TZID=Asia/Macau:20170525T111500
DTSTAMP:20260512T021323
CREATED:20170525T023040Z
LAST-MODIFIED:20220927T044401Z
UID:6105-1495708200-1495710900@www.fst.um.edu.mo
SUMMARY:Numerical Simulation of Polymer Flooding with MRST
DESCRIPTION:Instructors/Speakers\nDr. Kai BAO\nDepartment of Mathematics & Cybernetics at SINTEF\nOslo\nNorway \nAbstract\nIn this talk\, main topic will be the development of a fully-implicit polymer flooding simulator within MATLAB Reservoir Simulation Toolbox (MRST). We will introduce the background of the reservoir simulation\, water-flooding and why we need to use polymer to change the flooding fluid property. Physical equations are presented to describe the polymer flooding process. Then we introduces the key features of MRST\, such as its modular design\, vectorized implementation\, support for general unstructured grids\, and automatic differentiation framework\, which makes it a very powerful prototyping and experimentation platform for development of new flow models for reservoir simulation. Certain implementation details are discussed and verification against commercial simulators are provided. Application of the simulator to different scenarios is presented. And finally\, we will introduce briefly the open-source development activities in Computational Geosciences group in SINTEF Digital. \nBiography\nKai Bao is a Research Scientist in the Department of Mathematics & Cybernetics at SINTEF\, Oslo\, Norway. Before he joined SINTEF in March 2014\, he worked for over 3 years as a postdoctoral fellow in King Abdullah University of Science and Technology\, Saudi Arabia. He holds a BE degree in thermal engineering from Xi’an Jiaotong University and a PhD degree in computer applied technology from Institute of Software\, Chinese Academy Sciences. He is a member of the Society of Petroleum Engineers (SPE) and European Association of Geoscientists and Engineers (EAGE) . \nKai’s research interests include reservoir simulation\, parallel computing\, chemical enhanced oil recovery\, computational fluid dynamics and physically based fluid animation. He has published papers through journals and conferences on above fields. He is actively involved in the development of the open-source reservoir simulators\, Open Porous Media (OPM\, http://opm-project.org/) and MATLAB Reservoir Simulation Toolbox (MRST\, http://www.sintef.no/projectweb/mrst/). \n 
URL:https://www.fst.um.edu.mo/event/numerical-simulation-of-polymer-flooding-with-mrst/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170525T111500
DTEND;TZID=Asia/Macau:20170525T120000
DTSTAMP:20260512T021323
CREATED:20170525T031538Z
LAST-MODIFIED:20220927T044400Z
UID:6109-1495710900-1495713600@www.fst.um.edu.mo
SUMMARY:Predicting the fate of a migrating fluid using spill-point analysis\, with application to CO2 storage modelling
DESCRIPTION:Instructors/Speakers\nDr. Rebecca ALLEN\nMathematics and Cybernetics Department of SINTEF Digital \nAbstract\nTo reduce the amount of anthropogenic carbon dioxide (CO2) that is released to the atmosphere\, CO2 can be captured from its point source and injected into subsurface saline aquifers for long-term storage. This concept is known as Carbon Capture and Storage (CCS)\, and has been put into practice for more than 20 years in Norway. An important question to answer before starting a storage project is how much CO2 may be adequately trapped in a saline aquifer. To estimate this storage capacity\, one must consider the flow dynamics involved during injection and post-injection\, and simulation software plays an important role in this regard. During the injection period\, CO2 is primarily driven by pressure gradients\, however after injection has stopped\, CO2 is primarily driven by gravity forces and its migration is strongly influenced by the shape of the aquifer’s top-surface. As such\, spill-point analysis can be used to help predict the long-term migration of CO2 within the aquifer. This reduces the need to perform computationally intensive simulations for thousands of years\, yet still captures the amount of CO2 destined to remain within the aquifer. \nBiography\nRebecca Allen is a Post Doctorate Fellow at the Computational Geosciences group of the Mathematics and Cybernetics department of SINTEF Digital. She obtained her BEng in Civil Engineering from McMaster University in Canada in 2009. Between 2009 and 2015\, she completed her MSc in Environmental Science and Engineering and her PhD in Earth Science and Engineering from King Abdullah University of Science and Technology in Saudi Arabia. She is a member of the Society of Petroleum Engineers (SPE)\, the International Society for Porous Media (InterPore) and the IEAGHG modelling network. In 2013\, she was co-awarded as an outstanding student at IEAGHG’s International Summer School on Carbon Capture and Storage\, and was invited to be a student mentor at the following year’s summer school. \nRebecca’s current research activities are related to modelling large-scale storage of CO2 in geological formations\, in particular well optimization\, model calibration\, and capacity estimation. She has published work in Geofluids\, Energy Procedia\, SPE Journal\, and Progress in Computational Fluid Dynamics. She has also presented work at various conferences including GHGT\, InterPore\, SPE Reservoir Simulation Symposium\, and ECMOR. \n 
URL:https://www.fst.um.edu.mo/event/predicting-the-fate-of-a-migrating-fluid-using-spill-point-analysis-with-application-to-co2-storage-modelling/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170526T103000
DTEND;TZID=Asia/Macau:20170526T113000
DTSTAMP:20260512T021323
CREATED:20170526T023050Z
LAST-MODIFIED:20220927T044400Z
UID:6112-1495794600-1495798200@www.fst.um.edu.mo
SUMMARY:Uncertainty principle for 2D discrete signals
DESCRIPTION:Instructors/Speakers\nProf. Yan YANG\nAssociate Professor\nSchool of Mathematics\nSun Yat-Sen University\nChina \nAbstract\nIn this talk\, the uncertainty principle for 2D discrete signals associated with quaternion Fourier transform is obtained. As an application\, it explains an interesting phenomena in signal recovery problems where there is an interplay of missing data and time-limiting. \nBiography\nProf Yan Yang is an Associate Professor in Sun Yat-Sen University\, China. Her Research interest includes Complex Variables，Clifford Analysis，Signal analysis in higher dimensional spaces. Prof. Yan has published more than 25 papers on MMAS\, Acta Math Scientia\, Integral Operator and Special Functions and so on. \n 
URL:https://www.fst.um.edu.mo/event/uncertainty-principle-for-2d-discrete-signals/
LOCATION:E11-1035 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170609T110000
DTEND;TZID=Asia/Macau:20170609T120000
DTSTAMP:20260512T021323
CREATED:20170609T030006Z
LAST-MODIFIED:20220927T044400Z
UID:6114-1497006000-1497009600@www.fst.um.edu.mo
SUMMARY:Extreme Learning Machines (ELM): Enabling Pervasive Learning and Pervasive Intelligence in Internet of Intelligent Things
DESCRIPTION:Instructors/Speakers\nProf. Guang-Bin HUANG\nNanyang Technological University\nSingapore \nAbstract\nThis talk will analyse the differences and relationships among artificial intelligence and machine learning\, and also advocates the intelligence revolution and show its potential impact will be much more influential than agriculture revolution and industrial revolution. ELM theories may have explained the reasons why the brains are globally ordered but may be locally random. This talk will share with audience ELM’s direct biological evidences. Finally this talk will share with audiences the trends of machine learning in which ELM may play some important roles: 1) convergence of machine learning and biological learning; 2) from human and (living) thing intelligence to machine intelligence; 3) from cloud intelligence to local intelligence; 4) from Internet of Things (IoT) to Internet of Intelligent Things and Society of Intelligent Things; 5) pervasive learning and pervasive intelligence will come true. \nBiography\nGuang-Bin Huang is a Full Professor in the School of Electrical and Electronic Engineering\, Nanyang Technological University\, Singapore. He is a member of Elsevier’s Research Data Management Advisory Board. He is one of three Expert Directors for Expert Committee of China Big Data Industry Ecological Alliance organized by China Ministry of Industry and Information Technology\, and a member of International Robotic Expert Committee for China. He was a Nominee of 2016 Singapore President Science Award\, was awarded Thomson Reuters’s 2014 “Highly Cited Researcher” (Engineering)\, Thomson Reuters’s 2015 “Highly Cited Researcher” (in two fields: Engineering and Computer Science)\, and listed in Thomson Reuters’s “2014 The World’s Most Influential Scientific Minds” and “2015 The World’s Most Influential Scientific Minds.” He received the best paper award from IEEE Transactions on Neural Networks and Learning Systems (2013). \nHe serves as an Associate Editor of Neurocomputing\, Cognitive Computation\, neural networks\, and IEEE Transactions on Cybernetics. \nHe is Principal Investigator of BMW-NTU Joint Future Mobility Lab on Human Machine Interface and Assisted Driving\, Principal Investigator (data and video analytics) of Delta – NTU Joint Lab\, Principal Investigator (Scene Understanding) of ST Engineering – NTU Corporate Lab\, and Principal Investigator (Marine Data Analysis and Prediction for Autonomous Vessels) of Rolls Royce – NTU Corporate Lab. He has led/implemented several key industrial projects (e.g.\, Chief architect/designer and technical leader of Singapore Changi Airport Cargo Terminal 5 Inventory Control System (T5 ICS) Upgrading Project\, etc). \nOne of his main works is to propose a new machine learning theory and learning techniques called Extreme Learning Machines (ELM)\, which fills the gap between traditional feedforward neural networks\, support vector machines\, clustering and feature learning techniques. ELM theories have recently been confirmed with biological learning evidence directly\, and filled the gap between machine learning and biological learning. ELM theories have also addressed “Father of Computers” J. von Neumann’s concern on why “an imperfect neural network\, containing many random connections\, can be made to perform reliably those functions which might be represented by idealized wiring diagrams.” \n 
URL:https://www.fst.um.edu.mo/event/extreme-learning-machines-elm-enabling-pervasive-learning-and-pervasive-intelligence-in-internet-of-intelligent-things/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170621T110000
DTEND;TZID=Asia/Macau:20170621T120000
DTSTAMP:20260512T021323
CREATED:20170621T030011Z
LAST-MODIFIED:20220927T044359Z
UID:6118-1498042800-1498046400@www.fst.um.edu.mo
SUMMARY:Big Data Analytics on Big Spatial Database
DESCRIPTION:Instructors/Speakers\nProf. Raymond Chi-Wing WONG\nThe Hong Kong University of Science and Technology \nAbstract\nNowadays\, location-based services (LBSs)\, which refer to those services that are based on location (or spatial) data\, are broadly used in our daily life. In this talk\, we will talk about the recent development of LBSs. Some examples are “Search-nearby”\, “Spatial Crowdsourcing”\, “Trace Tracking” and “Shortest Distance”. We will focus on presenting some important results about shortest distance queries\, one fundamental LBS\, in the new context of the three-dimensional spatial database which receives a lot of attention from both the academic community and the industry community like Microsoft’s Bing Maps and Google Earth.  \nBiography\nRaymond Chi-Wing Wong is an Associate Professor in Computer Science and Engineering (CSE) of The Hong Kong University of Science and Technology (HKUST). He was the director of the Computer Engineering (CPEG) program from 2014 to 2016 and was the associate director of the Computer Engineering (CPEG) program from 2012 to 2014. He received the BSc\, MPhil and PhD degrees in Computer Science and Engineering in the Chinese University of Hong Kong (CUHK) in 2002\, 2004 and 2008\, respectively. In 2004-2005\, he worked as a research and development assistant under an R&D project funded by ITF and a local industrial company called Lifewood. \nHe received 28 awards. He published 54 conference papers (e.g.\, SIGMOD\, SIGKDD\, VLDB\, ICDE and ICDM)\, 23 journal/chapter papers (e.g.\, TODS\, DAMI\, TKDE\, VLDB journal and TKDD) and 1 book. He reviewed papers from conferences and journals related to data mining and database\, including VLDB conference\, SIGMOD\, TODS\, VLDB Journal\, TKDE\, TKDD\, ICDE\, SIGKDD\, ICDM\, DAMI\, DaWaK\, PAKDD\, EDBT and IJDWM. He is a program committee member of conferences\, including SIGMOD\, VLDB\, ICDE\, KDD\, ICDM and SDM\, and a referee of journals\, including TODS\, VLDBJ\, TKDE\, TKDD\, DAMI and KAIS. \n 
URL:https://www.fst.um.edu.mo/event/big-data-analytics-on-big-spatial-database/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170626T110000
DTEND;TZID=Asia/Macau:20170626T120000
DTSTAMP:20260512T021323
CREATED:20170626T030025Z
LAST-MODIFIED:20220927T044359Z
UID:6121-1498474800-1498478400@www.fst.um.edu.mo
SUMMARY:Determining the Impact Regions of Competing Options in Preference Space
DESCRIPTION:Instructors/Speakers\nProf. Man Lung YIU\nThe Hong Kong Polytechnic University \nAbstract\nIn rank-aware processing\, user preferences are typically represented by a numeric weight per data attribute\, collectively forming a weight vector. \nThe score of an option (data record) is defined as the weighted sum of its individual attributes. The highest-scoring options across a set of alternatives (dataset) are shortlisted for the user as the recommended ones. In that setting\, the user input is a vector (equivalently\, a point) in a d-dimensional preference space\, where d is the number of data attributes. \nIn this work\, we study the problem of determining in which regions of the preference space the weight vector should lie so that a given option focal record is among the top-k score-wise. In effect\, these regions capture all possible user profiles for which the focal record is highly preferable\, and are therefore essential in market impact analysis\, potential customer identification\, profile-based marketing\, targeted advertising\, etc. We refer to our problem as k-Shortlist Preference Region identification\, and exploit its computational geometric nature to develop a framework for its efficient (and exact) processing. Using real and synthetic benchmarks\, we show that our most optimized algorithm outperforms by three orders of magnitude a competitor we constructed from previous work on a different problem. \nBiography\nMan Lung Yiu received the bachelor’s degree in computer engineering and the PhD degree in computer science from the University of Hong Kong in 2002 and 2006\, respectively. Prior to his current post\, he worked at Aalborg University for three years starting in the Fall of 2006. He is now an associate professor in the Department of Computing\, Hong Kong Polytechnic University. His research focuses on the management of complex data\, in particular query processing topics on spatiotemporal data and multidimensional data. \n 
URL:https://www.fst.um.edu.mo/event/determining-the-impact-regions-of-competing-options-in-preference-space/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170630T153000
DTEND;TZID=Asia/Macau:20170630T163000
DTSTAMP:20260512T021323
CREATED:20170630T073051Z
LAST-MODIFIED:20220927T044358Z
UID:6124-1498836600-1498840200@www.fst.um.edu.mo
SUMMARY:Diagnosing Un-occurred Diseases by Dynamic Network Biomarkers --- Detecting the Tipping Points of Biological Processes by Big Data
DESCRIPTION:Instructors/Speakers\nProf. Luonan CHEN\nProfessor\nCAS Key Laboratory of System Biology\nInstitute of Biochemistry and Cell Biology\nShanghai Institutes for Biological Sciences\, CAS\, Shanghai\nChina \nAbstract\nConsiderable evidence suggests that during the progression of complex diseases\, the deteriorations are not necessarily smooth but are abrupt\, and may cause a critical transition from one state to another at a tipping point. Here\, we develop a model-free method to detect early-warning signals of such critical transitions (or un-occurred diseases)\, even with only a small number of samples. Specifically\, we theoretically derive an index based on a dynamical network biomarker (DNB) that serves as a general early-warning signal indicating an imminent sudden deterioration before the critical transition occurs. Based on theoretical analyses\, we show that predicting a sudden transition from small samples is achievable provided that there are a large number of measurements for each sample\, e.g.\, high-throughput data. We employ gene expression data of three diseases to demonstrate the effectiveness of our method. The relevance of DNBs with the diseases was also validated by related experimental data (e.g.\, liver cancer\, lung injury\, influenza\, type-2 diabetes) and functional analysis. DNB can also be used for the analysis of nonlinear biological processes\, e.g.\, cell differentiation process. \nBiography\nProf. Luonan Chen received BS degree in the Electrical Engineering\, from Huazhong University of Science and Technology\, and the M.E. and Ph.D. degrees in the electrical engineering\, from Tohoku University\, Sendai\, Japan\, in 1984\, 1988 and 1991\, respectively. From 1997\, he was an associate professor of the Osaka Sangyo University\, Osaka\, Japan\, and then a full Professor. Since 2010\, he has been a professor and executive director at Key Laboratory of Systems Biology\, Shanghai Institutes for Biological Sciences\, Chinese Academy of Sciences. He was the founding director of Institute of Systems Biology\, Shanghai University\, and is also research professor at the University of Tokyo since 2010. He was elected as the founding president of Computational Systems Biology Society of OR China\, and Chair of Technical Committee of Systems Biology at IEEE SMC Society. He serves as editor or editorial board member for major systems biology related journals. In recent years\, he published over 280 SCI journal papers and two monographs (books) in the area of systems biology. \n 
URL:https://www.fst.um.edu.mo/event/diagnosing-un-occurred-diseases-by-dynamic-network-biomarkers-detecting-the-tipping-points-of-biological-processes-by-big-data/
LOCATION:E11-1006
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170718T150000
DTEND;TZID=Asia/Macau:20170718T160000
DTSTAMP:20260512T021323
CREATED:20170718T070004Z
LAST-MODIFIED:20220927T044358Z
UID:6127-1500390000-1500393600@www.fst.um.edu.mo
SUMMARY:New Nonlinear Control Designs and Applications for Better Performance and Easier Implementation
DESCRIPTION:Instructors/Speakers\nProf. Chunjiang QIAN\nMary Lou Clarke Endowed Distinguished Professor\, Department Chair\nDepartment of Electrical and Computer Engineering\nUniversity of Texas\, San Antonio\, USA \nAbstract\nIn the past\, to design controllers for nonlinear systems\, the intrinsic nonlinear structures are often ignored or destroyed by linearization or feedback linearization methods. However\, these controllers\, including PID controllers and even some nonlinear controllers based on feedback linearization\, are no longer adequate to accommodate the increasing requirement for improved performances and enlarged operating regions of modern nonlinear control systems. This talk will discuss new perspectives in handling nonlinear systems and sketch recent progresses in nonlinear controller design including finite-time control\, nonlinear observer\, domination approach\, and sampled-data control. In addition\, these talk shows that the new controllers can ensure improved performance and easier implementation for several practical systems\, such as marine surface vehicles\, electric vehicles driven by in-wheel motors\, and hydraulic turbine systems. \nBiography\nProf. Chunjiang Qian received his B.S. and M.S degrees in Control Theory from Fudan University in 1992 and 1994 respectively\, and the Ph.D. degree in Electrical Engineering from Case Western Reserve University\, 2001. Since August 2001\, he has been with the Department of Electrical and Computer Engineering\, University of Texas at San Antonio\, where he is currently Mary Lou Clarke Endowed Distinguished Professor and serving as the Department Chair. His current research interests include robust and adaptive control\, nonlinear system theory\, optimal control\, network control system\, power plant control\, and biomedical applications. In those areas\, he has published one monograph and more than 180 papers. \nProf. Qian is a recipient of 2003 U.S. National Science Foundation (NSF) CAREER Award and one of the inaugural recipients of the University of Texas System Regents’ Outstanding Teaching Award in 2009. He received the 3rd Best Paper Award in the ISA (International Society of Automation) Power Industry Division Symposium (2011) and the Best Poster Paper Award in the 3rd IFAC International Conference on Intelligent Control and Automation Science (2013). He currently serves as an Associate Editor for Automatica and a Subject Editor for International Journal of Robust and Nonlinear Control. \n 
URL:https://www.fst.um.edu.mo/event/new-nonlinear-control-designs-and-applications-for-better-performance-and-easier-implementation/
LOCATION:E11-1006
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170719
DTEND;VALUE=DATE:20170722
DTSTAMP:20260512T021323
CREATED:20170719T063907Z
LAST-MODIFIED:20220927T044358Z
UID:5986-1500422400-1500681599@www.fst.um.edu.mo
SUMMARY:Civil Engineering Summer Camp 2017土木工程夏令營2017
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2017/civil-engineering-summer-camp-2017/#new_tab
CATEGORIES:activities,cee_events,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170720T150000
DTEND;TZID=Asia/Macau:20170720T160000
DTSTAMP:20260512T021323
CREATED:20170720T070023Z
LAST-MODIFIED:20220927T044357Z
UID:6131-1500562800-1500566400@www.fst.um.edu.mo
SUMMARY:Just-Noticeable Difference (JND) for Multimedia Signals
DESCRIPTION:Instructors/Speakers\nProf. Weisi LIN\nNanyang Technological University\nSingapore \nAbstract\nAs a result of the evolution\, the human has developed unique characteristics in perception of viewing\, hearing\, smelling\, touching and tasting. Just Noticeable Difference (JND) refers to the minimal amount of “X” that must be changed for the difference to be sensed by the human\, where X can be any signal\, derived quantity from signals such as emotion and user-experience\, or even technical specifications such as resolution\, asynchrony\, accuracy\, etc. “Perception is reality”\, so JND plays an important role both explicitly and implicitly throughout our work and life\, from sound to smell and from engineering to marketing (e.g.\, advertisement\, logo management\, personalization\, and recommendation). The scientific measurement and formulation for JND are the prerequisite for user-centric designs and for turning human perceptual sensitivities into many system advantages. In this seminar\, a holistic view will be first presented on JND research and practice\, followed by an in-depth case study in visual signals. JND modeling for visual signals has attracted much research interests so far\, while those for audio\, haptics\, olfaction\, gestation and other forms of signals are expected to intensify. In essence\, factors to influence JND also include utility\, culture and personality\, as will be highlighted. \nBiography\nDr Lin Weisi is a well-recognized researcher in image processing\, perception-based signal modelling and assessment\, video compression\, and multimedia communication systems. In the said areas\, he has published 180+ international journal papers and 230+ international conference papers\, 7 patents\, 9 book chapters\, 2 authored books and 3 edited books\, as well as excellent track record in leading and delivering more than 10 major funded projects (with over S$6.5m research funding). He earned his Ph.D from King’s College\, University of London. He had been the Lab Head\, Visual Processing\, in Institute for Infocomm Research (I2R). Currently\, he is an Associate Professor\, School of Computer Science and Engineering\, Nanyang Technological University\, where he served as the Associate Chair (Graduate Studies) in 2013-2014. \nHe is a Fellow of IEEE and IET\, and an Honorary Fellow of Singapore Institute of Engineering Technologists. He has been elected as a Distinguished Lecturer in both IEEE Circuits and Systems Society (2016-17) and Asia-Pacific Signal and Information Processing Association (2012-13)\, and given keynote/invited/tutorial/panel talks to 20+ international conferences during the past 10 years. He has been an Associate Editor for IEEE Trans. on Image Processing\, IEEE Trans. on Circuits and Systems for Video Technology\, IEEE Trans. on Multimedia\, IEEE Signal Processing Letters\, Quality and User Experience\, and Journal of Visual Communication and Image Representation. He was also the Guest Editor for 7 special issues in international journals\, and chaired the IEEE MMTC QoE Interest Group (2012-2014); he has been a Technical Program Chair for IEEE Int’l Conf. Multimedia and Expo (ICME 2013)\, International Workshop on Quality of Multimedia Experience (QoMEX 2014)\, International Packet Video Workshop (PV 2015)\, Pacific-Rim Conf. on Multimedia (PCM 2012) and IEEE Visual Communications and Image Processing (VCIP 2017). He has been awarded Zukunftskolleg Mentorship (2014) by University of Konstanz (Germany)\, Distinguished Overseas Professorship (2014) by Xidian University (China)\, and High Impact Research (HIR) Icon (2016) by University of Malaya. He has served as a voting member of 7 IEEE Technical Committees\, and on the IEEE ICME Steering Committee (2014-2015). He has been also elected to the European Network on QoE in Multimedia Systems and Services (QUALINET) from a Non-COST Country Institution\, based on scientific merits. He believes that good theory is practical\, and has delivered 9 major systems and modules for industrial deployment with the technology developed. \n 
URL:https://www.fst.um.edu.mo/event/just-noticeable-difference-jnd-for-multimedia-signals/
LOCATION:E11-1035 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170721T110000
DTEND;TZID=Asia/Macau:20170721T120000
DTSTAMP:20260512T021323
CREATED:20170721T030041Z
LAST-MODIFIED:20220927T044357Z
UID:6136-1500634800-1500638400@www.fst.um.edu.mo
SUMMARY:Fillers' application in concrete
DESCRIPTION:Instructors/Speakers\nDr. Johnny Ching Ming HO\nSenior Lecturer\nSchool of Civil Engineering\, University of Queensland\nAustralia \nAbstract\nWet packing density defined as the maximum solid-to-container volume ratio is one of the fundamental concrete properties that governs the performance of fresh and hardened concrete. By increasing the wet packing density\, the concrete performance improves in the following ways: (1) The densely packed particles decrease the porosity of concrete such that more loads are carried by the aggregates instead of paste that increases strength; (2) More water trapped in the interstitial void can be free up to increase workability; (3) Less paste is required to fill up the void between aggregates that increases dimensional stability. An effective way to increase the wet packing density of concrete is to broaden the particle size distribution\, e.g. blending with fly ash and silica fume. However\, these cementitious materials will hydrate with water and form paste\, which decrease the dimensional stability of concrete. To this\, inert (non-cementitious) fillers are advocated to improve the packing density and performance of concrete. In this seminar\, the speaker will introduce the use of limestone and foundry sand to improve the performance of concrete by sharing some test results obtained at University of Queensland. Some recommendations on the use of Nano-material in concrete will be provided. Appropriate use of inert filler(s) can improve the performance of concrete\, decrease cement usage and cost\, as well as cutting down the greenhouse gas emission. \nBiography\nDr. Johnny Ho is a Senior Lecturer in the School of Civil Engineering\, The University of Queensland. Before joining the university in 2013\, he worked as an Assistant Professor in The University of Hong Kong from 2007-2013. Practically\, Dr. Ho worked in both Hong Kong and Brisbane offices of Arup on some large scale infrastructure projects such as The Stonecutters Bridge in Hong Kong and the Ipswich Motorway Upgrade (Wacol to Darra) in Brisbane. Dr. Ho’s research interests are on mix design of high-performance concrete with multi-sized fillers\, rheology of cement paste and mortar\, as well as their application in concrete-filled-steel-tube columns. \n 
URL:https://www.fst.um.edu.mo/event/fillers-application-in-concrete/
LOCATION:E11-1043
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170726
DTEND;VALUE=DATE:20170728
DTSTAMP:20260512T021323
CREATED:20170726T031104Z
LAST-MODIFIED:20220927T043751Z
UID:5918-1501027200-1501199999@www.fst.um.edu.mo
SUMMARY:Computer Vision and Human-Machine Interaction Summer Camp 20172017計算機視覺與人機交互夏令營
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2017/computer-vision-and-human-machine-interaction-summer-camp-2017/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170726
DTEND;VALUE=DATE:20170729
DTSTAMP:20260512T021323
CREATED:20170726T031239Z
LAST-MODIFIED:20220927T043751Z
UID:5922-1501027200-1501286399@www.fst.um.edu.mo
SUMMARY:Green Vehicle Summer Camp 2017環保交通工具夏令營 2017
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2017/green-vehicle-summer-camp-2017/#new_tab
CATEGORIES:activities,eme_events,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170726
DTEND;VALUE=DATE:20170729
DTSTAMP:20260512T021323
CREATED:20170726T040657Z
LAST-MODIFIED:20220927T043750Z
UID:5967-1501027200-1501286399@www.fst.um.edu.mo
SUMMARY:Wireless Technology Study Summer Camp 2017無線技術研習夏令營 2017
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2017/wireless-technology-study-summer-camp-2017/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170726T150000
DTEND;TZID=Asia/Macau:20170726T160000
DTSTAMP:20260512T021323
CREATED:20170726T070025Z
LAST-MODIFIED:20220927T043750Z
UID:6142-1501081200-1501084800@www.fst.um.edu.mo
SUMMARY:Contract-Based Model of Evolving Architecture for Intelligent Cyber-Physical Systems
DESCRIPTION:Instructors/Speakers\nProf. Zhiming LIU\nCentre for Research and Innovation in Software Engineering (RISE)\nSouthwest University\, Chongqing\nChina \nAbstract\nThe sustainable development of most economies and the quality of life of their citizens largely depend on the development and application of evolutionary digital ecosystems. The characteristic features of these systems are reflected in the so called Internet of Things (IoT)\, Smart Cities\, Cyber-Physical Systems (CPS)\, Systems of Human-Machine-Things\, and Data Centers. Compared to the challenges in traditional ICT applications that engineers used to face\, system and software development is to develop and integrate new components or subsystems\, new applications and front end services that depends on the infrastructures of existing systems. This has to deal with the complexity of ever evolving architectures digital components\, physical components\, together with sensors and smart devices controlled and coordinated by software. The architectural components are designed with different technologies\, run on different platforms and interact through different communication technologies. Software runs in these systems for data processing and analytics\, computation\, and intelligent control. However\, the critical requirements of applications of these systems should not be compromised\, and thus critical components need to be “provably correct”. In this talk we discuss\, for development software in these emerging systems\, the need of a foundation for the combination of traditional software engineering\, AI (or knowledge-based engineering) and the emerging Big Data technologies. We show how an interface theory could play a core role in this foundation for seamless combination of different models\, methods and tools for software development\, AI and Big Data\, as well as for system integration. \nBiography\nZhiming Liu is known for his work on real-time and fault-tolerant program design\, verification\, and schedulability analysis by transformations that established a theory of real-time and fault-tolerant refinement; probabilistic duration calculus for system dependability specification and analysis\, and his work on the rCOS formal method of model-driven design. The key bibliographic database lists over 130 of his peer reviewed publications in recognized outlets. These include papers published in the top journals on formal methods\, ACM Transactions on Programming Languages\, Formal Aspects of Computing\, Science of Computer Programming and Theoretical Computer Science\, as well as mainstream conferences. He received a 2nd prize in natural science of Science and Technology Award from Macao SAR in 2012 for his work on the rCOS method. He joined Southwest University in Chongqing (China) as a full-time professor in January 2016\, and he is now leading to build the Centre for Research and Innovation in Software Engineering. Zhiming Liu received his PhD in 1991 from the University of Warwick (UK)\, and then worked there for three more years as a postdoc research fellow till 1994. After that\, he worked during 1994-2005 at the University of Leicester as lecturer. Between 2002 and 2013\, he worked for the United National University – International Institute for Software Technology (UNU-IIST\, Macau) as a research fellow and then senior research fellow. Then he worked from 2013 to 2015 at Birmingham City University as Professor of Software Engineering before he returned back China to take his current position. Zhiming Liu is a member of CCF\, a Fellow of British Computer Society\, and a senior member of ACM. He also a founder of the international conferences ICTAC\, SEFM\, FACS and SETTA. \n 
URL:https://www.fst.um.edu.mo/event/contract-based-model-of-evolving-architecture-for-intelligent-cyber-physical-systems/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170727
DTEND;VALUE=DATE:20170729
DTSTAMP:20260512T021323
CREATED:20170727T030523Z
LAST-MODIFIED:20220927T043750Z
UID:5912-1501113600-1501286399@www.fst.um.edu.mo
SUMMARY:3D reconstruction with Quadcopters Summer Camp 20172017四軸飛行器三維重建夏令營
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2017/3d-reconstruction-with-quadcopters-summer-camp-2017/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170727
DTEND;VALUE=DATE:20170729
DTSTAMP:20260512T021323
CREATED:20170727T030839Z
LAST-MODIFIED:20220927T043749Z
UID:5915-1501113600-1501286399@www.fst.um.edu.mo
SUMMARY:Robotics and Artificial Intelligence Summer Camp 20172017 機器人與人工智能夏令營
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2017/robotics-and-artificial-intelligence-summer-camp-2017/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170731T100000
DTEND;TZID=Asia/Macau:20170731T110000
DTSTAMP:20260512T021323
CREATED:20170731T020031Z
LAST-MODIFIED:20220927T043749Z
UID:6146-1501495200-1501498800@www.fst.um.edu.mo
SUMMARY:Research of key technology of primary mirror hydraulic supporting system
DESCRIPTION:Instructors/Speakers\nProf. Xiongbin PENG\nAssistant Professor\nDepartment of Mechatronics Engineering\nShantou University\nChina \nAbstract\nLarge scale reflecting telescope is a technology-intensive equipment in many fields such as national security\, space detection\, universe exploration. They are usually equipped with large diameter primary mirrors\, which guarantee them with stronger light gathering power and high resolution\, to explore instant galaxies from hunderds of millions of light year away. In this context\, this talk will firstly introduce the difficulties when designing a hydraulic support system for large scale primary mirrors. Secondly\, the supporting stiffness of a hydraulic support system is analyzed. Thirdly\, the methodology for the precise position control of a support system shall be discussed. Finally\, the future directions with critical research areas in field of hydraulic support system for a primary mirror shall be highlighted. \nBiography\nDr. Xiongbin Peng is currently working as an Assistant Professor in Department of Mechatronics Engineering at Shantou University. He received his PhD degree in Mechatronic Engineering from Zhejiang University\, Hangzhou\, China in 2016. His main research interests include Thermal Management Design for Energy Storage Systems\, Position Control of Primary Mirror Hydraulic Support System. He has worked jointly with Changchun Institute of optics\, fine mechanics and physics\, Chinese Academy of Sciences for 2 years on high stiffness design and precise position control of primary mirror hydraulic support system. He is the co-founder of Product Design Research Groups (PDRG\, www.pdrg-group.org) involving collaborators from 12 countries. Through his research group\, he has experience of supervising 3 undergraduate and 2 post graduate students. \n 
URL:https://www.fst.um.edu.mo/event/research-of-key-technology-of-primary-mirror-hydraulic-supporting-system/
LOCATION:E11-1009
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170731T110000
DTEND;TZID=Asia/Macau:20170731T120000
DTSTAMP:20260512T021323
CREATED:20170731T030019Z
LAST-MODIFIED:20220927T043749Z
UID:6149-1501498800-1501502400@www.fst.um.edu.mo
SUMMARY:Recent Trends and Challenges in Energy Storage Systems
DESCRIPTION:Instructors/Speakers\nProf. Akhil GARG\nAssociate Professor\nDepartment of Mechatronics Engineering\nShantou University\nChina \nAbstract\nIn the recent years\, Energy storage systems such as battery packs/fuel cells used in Electric vehicles (EVs) has been extensively promoted in developing economies where the environmental burden due to extensive production exists. In this context\, this talk will firstly introduce the four main research problems undertaken. The development of evolutionary algorithms with applications in fuel cells is illustrated. Secondly\, the experimental methodology of using mechanical parameter such as the stack stress to estimate the state of health of battery shall be discussed. The methodology for solving the design optimization problem of battery pack enclosure shall be discussed. \nBiography\nDr. Akhil Garg is currently working as an Associate Professor in Department of Mechatronics Engineering at Shantou University. He received his PhD degree in Mechanical and Aerospace Engineering from Nanyang Technological University (NTU)\, Singapore in 2015. His main research interests include Design for Energy Storage Systems\, Applications of AI in Sustainable manufacturing\, Robust Optimization\, Evolutionary algorithms. He has worked jointly with Aerospace Industry Rolls-Royce Singapore for 2 years on Design optimization of finishing process. He has published over 25 SCI Journals in field of sustainable manufacturing\, cleaner energy systems and artificial intelligence. \n 
URL:https://www.fst.um.edu.mo/event/recent-trends-and-challenges-in-energy-storage-systems/
LOCATION:E11-1009
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170822T103000
DTEND;TZID=Asia/Macau:20170822T113000
DTSTAMP:20260512T021323
CREATED:20170822T023030Z
LAST-MODIFIED:20220927T043748Z
UID:6152-1503397800-1503401400@www.fst.um.edu.mo
SUMMARY:Physically-based Realistic Hair Dynamics Simulation
DESCRIPTION:Instructors/Speakers\nProf. Bin SHENG\nDepartment of Computer Science and Engineering\nShanghai Jiao Tong University\nShanghai\nChina \nAbstract\nRealistic hair simulation is essential in many fields such as Computer Graphics and Virtual Reality. Currently\, many models have successfully made progress in high-quality hair simulation. However\, the computation cost of these models is very high and is not suite for realtime simulation and rendering. In order to simulate realistic hair in a very short time\, we introduced a data-driven reduced hair model solution. Our approach captured a small set of guide hair and the corresponding interpolation relationship using a list of precomputed full simulation hair movement sequences. In simulation step\, we only simulated the guide hair with a mass-spring model and interpolated the rest hair strands using the interpolation relationship we extracted from the full simulating data. Furthermore\, we used a signed distance field to resolve the hair-body collision and introduced an improved hair-hair correction model based on “Position Based Dynamic” framework. Our model successfully simulate 40K hair strands in real-time with very high quality with complex head movement\, which can also be applied to different hairstyle and hair geometry. \nBiography\nSHENG Bin received his BA degree in English and BE degree in computer science from Huazhong University of Science and Technology in 2004\, and MS degree in software engineering from University of Macau in 2007\, and PhD Degree in computer science from The Chinese University of Hong Kong in 2011. He is currently an associate professor in Department of Computer Science and Engineering at Shanghai Jiao Tong University. He serves on the editorial board of IET Image Processing. His research interests include virtual reality\, computer graphics and image based techniques. \n 
URL:https://www.fst.um.edu.mo/event/physically-based-realistic-hair-dynamics-simulation/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170823T103000
DTEND;TZID=Asia/Macau:20170823T113000
DTSTAMP:20260512T021323
CREATED:20170823T023055Z
LAST-MODIFIED:20220927T043748Z
UID:6156-1503484200-1503487800@www.fst.um.edu.mo
SUMMARY:The Skew diffusion processes and their applications in finance
DESCRIPTION:Instructors/Speakers\nProf. Yongjin WANG\nProfessor\nSchool of Business\nNankai University\nChina \nAbstract\nIn this talk\, we begin with the Ito & McKean[1965]’s construction of Skew B.M. (via the Brownian excursions)\, and introduce a class of the so-called Skew diffusion processes. Specifically\, our considerations are limited on the Skew O-U processes and the Skew Feller-branching processes (the latter are also called Skew CIR processes). For those two processes we first give the explicit expressions on the transition densities\, in term of classical Special Functions. Next we study the hitting times of the processes up (or down) crossing some given levels\, and we obtained the Laplace Transforms expressions of those random stopping times. These results are fundamental for the quantitative analysis of the processes. On the other hand\, some observations from the FX market data show that\, the special structures of Skew O-U processes can capture the important “sticky” phenomena\, which frequently appeared in the market while the FX prices go up (down) to some specific level. Whereas the usual Geometric BM or Geometric O-U processes fails to do. So with the good tractable characters the Skew O-U procesess can be significantly introduced to model some FX and other assets price dynamics\, alternatively we can proceed to the derivative securities pricing with such new models. \nBiography\nProf. Yongjin Wang was awarded his PhD at Nankai University in 1992 and is currently a full professor at Nankai University. He has published more than 50 high quality papers about probability and mathematical finance. \n 
URL:https://www.fst.um.edu.mo/event/the-skew-diffusion-processes-and-their-applications-in-finance/
LOCATION:E11-1012
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170830T100000
DTEND;TZID=Asia/Macau:20170830T110000
DTSTAMP:20260512T021323
CREATED:20170830T020048Z
LAST-MODIFIED:20220927T043748Z
UID:6160-1504087200-1504090800@www.fst.um.edu.mo
SUMMARY:Granular micromechanics: a paradigm for micromorphic continuum mechanics
DESCRIPTION:Instructors/Speakers\nProf. Anil Misra\nProfessor\nDepartment of Civil\, Environmental and Architectural Engineering\nThe University of Kansas\, Lawrence\, Kansas\, U.S.A. \nAbstract\nGranular materials take a variety of forms\, spanning the spectrum from highly consolidated dense solids formed of particulate precursors to confined packing of non-cohesive particles. In all their forms\, these materials are characterized by complex structures and compositions. More importantly\, they share the common trait that their behavior at the macro-scale\, that contains large numbers of grains (>106)\, is profoundly affected by the grain-scale interactions. For many important problems in engineering and science\, continuum description of their mechanical behavior is desired. Discrete atomic or coarse-grained models often pose insurmountable challenges. Granular micromechanics method is a practical approach for continuum modeling these materials. In this approach\, the material representative volume element (RVE) is modeled as a collection of grains which are interacting with each other through different inter-granular mechanisms. The resultant models offer the versatility of investigating the influence of both the macro-scale parameters and the grain-scale parameters on the overall stress-strain response by incorporating the effect of nearest neighbor grain interactions through the inter-granular force-displacement relationship and orientation vector. We have been developing the granular micromechanics approaches since 1980s. In their earlier formats\, the models based upon granular micromechanics were successful in describing the small strain behavior. In recent years\, these models have undergone further refinement and have been successfully applied to model a number of phenomena exhibited by granular geomaterials. In particular\, the models have been shown to successfully describe the damage and softening in cementitious materials [1]. The approach also leads to a 2nd gradient continuum theory involving strain gradient and its conjugated double stresses useful for modeling shear bands [2]. The method has also been extended to include rate effects [3]\, incorporate thermomechanical consistency [3\,4] and develop efficient numerical scheme [5] that can be implemented into finite element formulation. The model predictions have shown both quantitative and qualitative consistency with the observed behavior for asphalts and cementitious materials [3-5\, 9]. Recently\, the method has been extended to include non-classical terms which lead to micromorphic models [6\,10]. The derived model has been applied to study the wave dispersion relationships and topology optimization [8]. Method for identifying elastic constants for the derived model has been demonstrated for regular and irregular grain assemblies by performing discrete simulations [7]. In the proposed presentation\, we will describe some of the recent developments in granular micromechanics. \nBiography\nAnil Misra received his bachelor’s degree in civil engineering from the Indian Institute of Technology\, Kanpur\, India\, and his M.S. and Ph.D. degrees from the University of Massachusetts at Amherst. He is currently a Professor in the Civil\, Environmental and Architectural Engineering Department of the University of Kansas\, Lawrence. He also serves as Associate Director of the University of Kansas Bioengineering Research Center (KU-BERC). Dr. Misra has a broad research interest that spans topics covering both basic and applied aspects of mechanics of geomaterials\, interfaces and biomaterials\, including analytical\, computational and experimental granular micromechanics\, particle and atomistic methods\, multi-scale modeling\, constitutive behavior\, micro-macro correlations\, and multi-modal material characterization using high resolution techniques. He has co-edited three books; guest edited three journal special issues; and authored more than 200 papers in journals\, edited books and conference proceedings. He has made more than 100 presentations of his research results at national and international fora. His research has been funded by a variety of sources\, including the United States National Science Foundation\, National Institute of Health\, and private industry. He is active in various professional societies and serves as reviewer and editorial board member of a number of journals. (webpage: http://people.ku.edu/~amisra/) \n 
URL:https://www.fst.um.edu.mo/event/granular-micromechanics-a-paradigm-for-micromorphic-continuum-mechanics/
LOCATION:E11-1042
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170911T150000
DTEND;TZID=Asia/Macau:20170911T160000
DTSTAMP:20260512T021323
CREATED:20170911T070044Z
LAST-MODIFIED:20220927T043747Z
UID:6163-1505142000-1505145600@www.fst.um.edu.mo
SUMMARY:Enhancing Video Coding by Data-driven Techniques and Advanced Models
DESCRIPTION:Instructors/Speakers\nProf. KWONG Tak Wu Sam\nHead and Professor of the Department of Computer Science\nCity University of Hong Kong\nHong Kong\nChina \nAbstract\nIn June 6th 2016\, Cisco released the White paper[1]\, VNI Forecast and Methodology 2015-2020\, reported that 82 percent of Internet traffic will come from video applications such as video surveillance\, content delivery network\, so on by 2020. It also reported that Internet video surveillance traffic nearly doubled\, Virtual reality traffic quadrupled\, TV grew 50 percent and similar increases for other applications in 2015. The annual global traffic will first time exceed the zettabyte(ZB;1000 exabytes[EB]) threshold in 2016\, and will reach 2.3 ZB by 2020. It implies that 1.886ZB belongs to video data. Thus\, in order to relieve the burden on video storage\, streaming and other video services\, researchers from the video community have developed a series of video coding standards. Among them\, the most up-to-date is the High Efficiency Video Coding(HEVC) or H.265 standard\, which has successfully halved the coding bits of its predecessor\, H.264/AVC\, without significant increase in perceived distortion. With the rapid growth of network transmission capacity\, enjoying high definition video applications anytime and anywhere with mobile display terminals will be a desirable feature in the near future. Due to the lack of hardware computing power and limited bandwidth\, lower complexity and higher compression efficiency video coding scheme are still desired. For higher video compression performance\, the key optimization problems\, mainly decision making and resource allocation problem\, shall be solved. In this talk\, I will present the most recent research results on machine learning and game theory based video coding. This is very different from the traditional approaches in video coding. We hope applying these intelligent techniques to vide coding could allow us to go further and have more choices in trading off between cost and resources. \nBiography\nSam Kwong received the B.Sc. degree from the State University of New York at Buffalo\, Buffalo\, NY\, in 1983\, the M.A.Sc. degree in electrical engineering from the University of Waterloo\, Waterloo\, ON\, Canada\, in 1985\, and the Ph.D. degree from the Fernuniversität Hagen\, Hagen\, Germany\, in 1996. From 1985 to 1987\, he was a Diagnostic Engineer with Control Data Canada\, where he designed the diagnostic software to detect the manufacture faults of the VLSI chips in the Cyber 430 machine. He is the associate editor of the IEEE transactions on Evolutionary Computation\, the Associate Editor for the IEEE Transactions on Industrial Informatics\, the IEEE Transactions on Industrial Electronics\, and the Journal of Information Science. Currently\, he is the Head and Professor of the department of Computer Science\, City In terms of professional services\, he was General Chair of IEEE SMC 2015 and gained the right to host the prestigious IEEE International Conference on Systems\, Man\, and Cybernetics at CityU on October 9-12\, 2015\, with nearly 600 scholars from around the world participating. He is also the Vice President for IEEE Systems\, Man and Cybernetics for conferences and meetings from 2014 till present. Prof. Kwong was elevated to IEEE fellow for his contributions on Optimization Techniques for Cybernetics and Video coding in 2014. He is also appointed as IEEE Distinguished Lecturer for IEEE SMC society from March 2017. In his more recent work\, Prof Kwong has also proposed a number of optimization techniques for video coding\, including developing efficient algorithms to address the high computational complexity problems for mode decision and this enables adaptive thresholds to be derived to make intelligent decisions for mode decision and motion estimation\, thus significantly reducing the computational complexity in H.264 encoding in a clever way. In addition\, this enables the practical implementation of video coder to industry. His innovations have already inspired the publication of a number of top-ranked journal papers (IEEE Transactions on Image Processing\, IEEE Transactions on Circuit and Systems for Video Technology\, IEEE Transactions on Broadcasting\, IEEE Transactions on Multimedia\, IEEE Transactions on Industrial Electronics). His discoveries have also been patented in the US from 2011 to 2017. \n 
URL:https://www.fst.um.edu.mo/event/enhancing-video-coding-by-data-driven-techniques-and-advanced-models/
LOCATION:E11-1041 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170928T143000
DTEND;TZID=Asia/Macau:20170928T153000
DTSTAMP:20260512T021323
CREATED:20170928T063045Z
LAST-MODIFIED:20220927T043747Z
UID:6167-1506609000-1506612600@www.fst.um.edu.mo
SUMMARY:Collaborative Editing Research: from Academic Curiosity to Real-World Applications
DESCRIPTION:Instructors/Speakers\nProf. Chengzheng SUN\nNanyang Technological University\nSingapore \nAbstract\nNowadays\, collaborative editing systems\, such Google Docs\, Microsoft Office Online\, Dropbox Paper\, Box Notes\, and CodoxWave (for supporting read-time editing in a wide range of existing web browser-based editors\, including Gmail\, Wikipedia\, Evernote\, and WordPress)\, are ubiquitous and commonly used by hundreds of millions of people around the world. Research on collaborative editing\, however\, started in the 1980s as a niche area (with a small number of persistent researchers) in the field of Computer-Supported Cooperative Work (CSCW)\, and was driven mainly by academic curiosity. This niche area has been continuously evolving for over 3 decades and eventually resulted in a large scale adoption in major industry products in recent years. In this talk\, the speaker will reflects on the evolution of collaborative editing research and application\, including representative academic research projects\, industrial products\, and open source projects. He will also share his insights on conducting impactful research in this area\, and on current trends\, opportunities and challenges in future collaborative editing research and real-world applications. \nBiography\nDr. Chengzheng Sun is a full professor in the School of Computer Science and Engineering at Nanyang Technological University\, Singapore (www.ntu.edu.sg/home/czsun). In over two decades\, Dr Sun has been an active researcher\, leader and chief designer of a number of collaborative editing system projects\, including CoWord\, CoPowerPoint\, CoMaya\, etc. and the underlying Operational Transformation (OT) technology\, which have made important contributions to the theory and practical implementation of collaborative computing systems. He has also acted as an advisor for several industrial collaborative editing system projects. Prof Sun obtained a PhD in computer engineering from National University of Defense Technology\, China in 1987\, and a PhD in computer science from the University of Amsterdam\, Netherlands in 1992. His current research lies at the intersections of Computer-Supported Cooperative Work (CSCW) and distributed/cloud computing systems. Dr Sun has published extensively and delivered seminars and tutorials on collaborative editing techniques and systems widely at major international conferences\, universities\, and industrial research labs. \n 
URL:https://www.fst.um.edu.mo/event/collaborative-editing-research-from-academic-curiosity-to-real-world-applications/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20171005T103000
DTEND;TZID=Asia/Macau:20171005T113000
DTSTAMP:20260512T021323
CREATED:20171005T023013Z
LAST-MODIFIED:20220927T043747Z
UID:6169-1507199400-1507203000@www.fst.um.edu.mo
SUMMARY:Video Distractor Detection with Applications
DESCRIPTION:Instructors/Speakers\nProf. Shimin HU\nTsinghua University\nBeijing \nAbstract\nIn recent years\, with the rapid development of digital technology\, the public can capture and produce high-quality visual media conten. However\, the current visual media processing techniques cannot satisfy the increasing demands of automatically organize\, understand and enhance the media data according to the human intentions and potentially billions of personalized editing. So we focus on how to analysis the images and videos in a perception-oriented way. Personal videos often contain visual distractors\, i.e. objects that are accidentally captured that can distract viewers from focusing on the main subjects. We propose methods to automatically detect and localize these distractors. A rule-based method is firstly proposed to detect common distractors. Then a learning based framework is proposed with a manually-labeled dataset. To achieve spatially- and temporally-coherent detection\, we propose to extract features at the Temporal-Superpixel (TSP) level in a traditional SVM-based learning framework. We have also experimented with end-to-end learning with Convolutional Neural Networks (CNNs)\, which achieve slightly higher performance. The classification result is further refined in a post-processing step based on graph-cut optimization. Experimental results show that our method achieves an accuracy of 81% and a recall of 86%. We demonstrate several ways to remove the detected distractors to improve the video quality\, including video hole filling; video frame replacement; and camera path re-planning. \nBiography\nShi-Min Hu is currently a professor in the department of Computer Science and Technology\, Tsinghua University\, Beijing. He received the PhD degree from Zhejiang University in 1996. His research interests include digital geometry processing\, video processing\, rendering\, computer animation\, and computer-aided geometric design. He has published more than 100 papers in journals and refereed conference. He is Editor-in-Chief of Computational Visual media (Springer)\, and on editorial board of several journals\, including IEEE Transactions on Visualization and Computer Graphics\, Computer Aided Design (Elsevier) and Computer & Graphics (Elsevier). \n 
URL:https://www.fst.um.edu.mo/event/video-distractor-detection-with-applications/
LOCATION:E11-1009 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20171111T103000
DTEND;TZID=Asia/Macau:20171111T233000
DTSTAMP:20260512T021323
CREATED:20171111T023026Z
LAST-MODIFIED:20220927T043746Z
UID:6173-1510396200-1510443000@www.fst.um.edu.mo
SUMMARY:Design of thermo-active piles
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/design-of-thermo-active-piles/
LOCATION:E11-1009
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20171120T153000
DTEND;TZID=Asia/Macau:20171120T161500
DTSTAMP:20260512T021323
CREATED:20171120T073043Z
LAST-MODIFIED:20220927T043746Z
UID:6179-1511191800-1511194500@www.fst.um.edu.mo
SUMMARY:Smart Data Analysis – from Data to Insights and Actions
DESCRIPTION:Instructors/Speakers\nMr. Jian-Guang LOU\nMicrosoft Research Asia \nAbstract\nThe value of BigData lies in the insights we can obtain from the data to help our business. But\, big data by itself does not directly tell you any insights. Data analysis is a key step to extract valuable insights from data. However\, given the size and large number of dimensions in the data\, data analysis is often very expensive\, labor intensive\, and inefficient. There is a great demand of smart analysis tools to help data scientists or analysts to discover and explore insights from data efficiently. Can we automate or semi-automate data analysis with the help of AI technologies? In this talk\, we will introduce the technologies that Software Analytics group in Microsoft Research Asia has been innovating in the area of auto-data insights\, data visualization\, conversational data analysis\, etc. Most of these technologies have been integrated with Microsoft’s products including Quick Insight in PowerBI\, Auto Insight in Excel\, Conversational data analysis in PowerBI\, and AnnaTalk in Excel. A set of demos in this talk will show you how AI technologies can help users to quickly explore their data\, automatically discover insights from data\, drive actions through natural and intuitive interactions (e.g.\, natural language conversation). \nBiography\nJian-Guang Lou is now a senior researcher in the Software Analytics Group\, Microsoft Research Asia. He joined Microsoft Research in 2003. During the past decade\, he has worked on a set of cross-discipline research projects. He designed the world’s first interactive multi-view video system in 2005\, and developed a large scale peer-to-peer streaming system for CCTV.com to broadcast 2008 Olympic game to millions of concurrent online users in China. His research on data driven service analytics (e.g.\, anomaly detection\, auto-diagnosis\, log mining and failure prediction) has been applied and deployed in different Microsoft product teams (such as SharePoint online\, Exchange online\, and\, Window Azure) for online service management. His current research mainly focuses on machine learning and data mining algorithms for software and service analytics\, business intelligence\, and conversational data analysis. \n 
URL:https://www.fst.um.edu.mo/event/smart-data-analysis-from-data-to-insights-and-actions/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20171120T161500
DTEND;TZID=Asia/Macau:20171120T165000
DTSTAMP:20260512T021323
CREATED:20171120T081504Z
LAST-MODIFIED:20220927T043746Z
UID:6182-1511194500-1511196600@www.fst.um.edu.mo
SUMMARY:A glimpse of Microsoft Research Asia
DESCRIPTION:Instructors/Speakers\nDr. Winnie Cui\nMicrosoft Research Asia \nAbstract\nMicrosoft Research Asia is Microsoft’s fundamental research arm in the Asia Pacific region. Today\, with more than 200 researchers and developers and more than 300 visiting scientists and students\, the lab conducts basic and applied research in areas central to Microsoft’s long-term strategy and future computing vision. It also collaborates with many universities in Asia. How does it collaborate? Does it have internship program? Who qualifies for its Fellowship award? I’ll tell you more in this quick update about MSRA. \nBiography\nWinnie Cui is a senior manager in the Academic Outreach organization at Microsoft Research Asia (MSRA)\, responsible for promoting and championing academic collaborations and partnership between MSRA and top-tier universities in Hong Kong\, Taiwan and Singapore. Since joining Microsoft in 2006\, Winnie has served in various positions\, including Area Manager for North Asia in Microsoft IT and Principal Solution Manager. Prior to joining Microsoft\, she worked at GE Healthcare leading the global IT excellence in product digitization and optimization. Winnie also co-authored the chapter “Fluid Dynamics and Thrombosis” in the book “Advances in Cardiovascular Engineering” published by Springer. Winnie conducted her postdoctoral research at the University of Southern California and holds MS and PhD degrees in biomedical engineering from the University of Tennessee in the United States. \n 
URL:https://www.fst.um.edu.mo/event/a-glimpse-of-microsoft-research-asia/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20171204T150000
DTEND;TZID=Asia/Macau:20171204T160000
DTSTAMP:20260512T021323
CREATED:20171204T070002Z
LAST-MODIFIED:20220927T043745Z
UID:6184-1512399600-1512403200@www.fst.um.edu.mo
SUMMARY:Exploration for Offshore Sand in Hong Kong: Detailed Surveys\, Dredging and Environmental Assessments
DESCRIPTION:Instructors/Speakers\nPaul Chi Tak CHEUNG\nChairman\nProfession Branch\nGeological Society of Hong Kong \nAbstract\nHong Kong used about 270Mm3 of marine dredged sand from 1990 to 2003 to form land for the Chek Lap Kok Airport and port facilities\, roads and various new town developments for housing and industry. The main sand reserves are Pleistocene fluvial deposits\, the upper portions of which were largely reworked and laterally transported by early Holocene tidal currents. Economic sand reserves mostly occur where later Holocene mud deposition has been restricted by high tidal flows. Sand dredging proposals have been subjected to the environmental impact assessment process and in some instances the decision was taken not to extract certain sand deposits for environmental\, ecological and socio-economic reasons. Detailed dredging assessments have been undertaken to quantify economic reserves. The key are the overburden ratio and a means to economically dispose of the overburden. Empty sand borrow pits were used for cost effective mud disposal while at the same time reinstating the seabed. The marine sand search study in 1990 was to locate and investigate all major offshore deposits of sand and gravel that could be used as reclamation fill in Hong Kong. The study comprised a two-stage offshore investigation of geophysical surveys and drilling followed by borehole logging and laboratory testing. The study had identified 14 potential marine sand areas with a combined volume of approximately 588Mm3. \nBiography\nMr. Paul Cheung is currently the Chairman of Profession Branch of Geological Society of Hong Kong. He obtained his B.S. and M.S. in Geology in National Taiwan University and University of Windsor\, Ontario\, respectively. He is a chartered engineer\, geologist\, and scientist of UK. He had conducted many geological related projects in Hong Kong. In particular\, he was involved with the “Exploration for Offshore Sand in Hong Kong” while he was working for the Civil Engineering Development Department of HKSAR. \n 
URL:https://www.fst.um.edu.mo/event/exploration-for-offshore-sand-in-hong-kong-detailed-surveys-dredging-and-environmental-assessments/
LOCATION:E12-G020
CATEGORIES:cee_events,event_list,seminarslectures
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20171212T110000
DTEND;TZID=Asia/Macau:20171212T120000
DTSTAMP:20260512T021323
CREATED:20171212T030048Z
LAST-MODIFIED:20220927T043745Z
UID:6187-1513076400-1513080000@www.fst.um.edu.mo
SUMMARY:Interpretation Of CPTu in Consolidating Soils
DESCRIPTION:Instructors/Speakers\nProf. Paulus P. Rahardjo\nProfessor of Geotechnical Engineering Division\nFaculty of Engineering\nUniversitas Katolik Parahyangan (Unpar)\nIndonesia \nAbstract\nThe interpretation of CPTu for normally consolidated clay soils and slightly\, or strongly overconsolidated soils have been published in many papers. For both conditions of soils (normally consolidated and overconsolidated clay)\, there is hydrostatic pore water pressure\, however no initial excess pore water pressure exists. Hence the assumption that excess pore water pressure due to cone penetration only is valid. In soils where consolidation still on going which could be due to natural deposition of the soils or soft soils under reclamation fill material\, the excess pore pressure still exists\, which means that pior to penetration testing\, the initial excess pore pressure has not completely diminished. In this case\, the measured excess pore water pressure shall be interpreted as combined existing pore water pressure and the additional excess pore water pressure due to cone penetration. In case of testings conducted at certain interval time such as during the course of consolidation in reclamation area\, then the excess pore pressure response as well as the tip resistance and the frction ratio will change toward a normally consolidated condition. This paper represents research results of CPTu in reclaimed soils and the authors have developed methods for interpretation of these combined excess pore water pressures. In the end\, the methods can separate between the excess pore water pressure due to penetration and the prior existing pore water pressure. The methods include the use of Schmertmaan method (which is found not suitable for reclamation case histories)\, the Use of Bq value and the dissipation curve with considering the existing excess pore water that still exists. The tip resistance in underconsolidating soft soils subjected to fill placement will not form a linear tip resistance (not straight line) when carefully examined (Schmertmann assumption not applicable in such cases) and hence the interpretation were done considering the initial (remaining) excess pore pressure or the effective stress at certain time. The methods have been proved to be consistent and has the potensial for more accurate interpretation. \nBiography\nProf Paulus P. Rahardjo completed undergraduate study at Universitas Katolik Parahyangan (Unpar) and since then has been faculty members at the university. He pursued graduate study in highway engineering at Bandung Institute of Technology (ITB)\, then Master’s Degree and Ph.D degree from Virginia Tech (USA). He has been actively engaged in teaching\, research as well as hundreds of geotechnical consultancy. He works for design and advising clients on many geotechnical problems including building foundations\, highways\, tunnels\, bridges\, jetys and wharfs\, dams\, coal minings etc. Among his specialies with intense experience in research and practice are in the field of insitu testings and landslides or slope protections. He has written more than 200 articles/ papers\, research reports and manuals. He has served the university as Department Head\, Vice Dean of Faculty of Engineering\, Director of the Graduate Program and Vice Rector for Academic Affairs. Currently\, he is the coordinator of Geotechnical Engineering Division and Director of Research Center for Infrastructure and Urban Development. His affiliation include the Indonesian Geotechnical Society (HATTI)\, American Society of Civil Engineers in the Geo-Institute\, the Indonesian Experts on Disasters (IABI) and Board Representative of International Consortium on Landslides (ICL)\, currently responsible for project IPL-195 Study for Mitigation and Recovery of Mud Eruption Disaster in East Java and Modeling for Risk Reduction Mudflow Hazards. \n 
URL:https://www.fst.um.edu.mo/event/interpretation-of-cptu-in-consolidating-soils/
LOCATION:E11-G015
CATEGORIES:cee_events,event_list,seminarslectures
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