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TZID:Asia/Macau
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DTSTART:20160101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170427T153000
DTEND;TZID=Asia/Macau:20170427T163000
DTSTAMP:20260513T043609
CREATED:20170427T073001Z
LAST-MODIFIED:20220927T044402Z
UID:6094-1493307000-1493310600@www.fst.um.edu.mo
SUMMARY:Motion trajectories for robotic task teaching
DESCRIPTION:Instructors/Speakers\nProf. You-Fu LI\nProfessor\nDepartment of Mechanical and Biomedical Engineering\nCity University of Hong Kong \nAbstract\nMotion trajectories play an important role in characterizing human or robot actions and behaviours. Effective ways to track and describe them are lacking that can fully depict spatial trajectories in 3D. In this work\, I will present our research in visual tracking and trajectory description. An invariant descriptor proposed for free form trajectory description in Euclidean space. The signature admits rich invariants due to the computational locality. By implementing the approximate signature\, the noise-sensitive high order derivatives are avoided. The trajectory can then be recognized based on the customized signatures similarity metric. Case studies will be given to show the signature’s effectiveness and robustness in 3-D trajectory description and recognition. \nBiography\nYou-Fu Li received the PhD degree in robotics from the Department of Engineering Science\, University of Oxford in 1993. From 1993 to 1995 he was a research staff in the Department of Computer Science at the University of Wales\, Aberystwyth\, UK. He joined City University of Hong Kong in 1995 and is currently professor in the Department of Mechanical and Biomedical Engineering. His research interests include robot sensing\, robot vision\, and visual tracking. He has served as an Associate Editor for IEEE Transactions on Automation Science and Engineering (T-ASE)\, Associate Editor and Guest Editor for IEEE Robotics and Automation Magazine (RAM)\, and Editor for CEB\, IEEE International Conference on Robotics and Automation (ICRA). \n 
URL:https://www.fst.um.edu.mo/event/motion-trajectories-for-robotic-task-teaching/
LOCATION:E11-1012
CATEGORIES:eme_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170419T103000
DTEND;TZID=Asia/Macau:20170419T113000
DTSTAMP:20260513T043609
CREATED:20170419T023050Z
LAST-MODIFIED:20220927T044402Z
UID:6092-1492597800-1492601400@www.fst.um.edu.mo
SUMMARY:Numbers and Games\, Symmetry and Groups: My Life in Mathematics
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/numbers-and-games-symmetry-and-groups-my-life-in-mathematics/
LOCATION:E11-G015
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170412T110000
DTEND;TZID=Asia/Macau:20170412T120000
DTSTAMP:20260513T043609
CREATED:20170412T030056Z
LAST-MODIFIED:20220927T044403Z
UID:6089-1491994800-1491998400@www.fst.um.edu.mo
SUMMARY:The Comprehensive Language Knowledge Base and its development綜合型語言知識庫及其發展
DESCRIPTION:Instructors/Speakers\nProf. Yu Shiwen\nProfessor\nSchool of Electronics Engineering and Computer Science\nPeking University\nBeijing\nChina \nAbstract\n任何一個自然語言處理系統都需要一個適配的語言知識庫。北京大學計算語言學研究所積30年之努力，建成以《現代漢語語法資訊詞典》為基礎的綜合型語言知識庫。本報告介紹綜合型語言知識庫的主要內容及其發展。當前語言計算研究已深入到面向語言大資料的語義計算。詞彙、詞法、句法層面的語言知識庫對語言淺層分析技術的發展起到了至關重要的作用，這個成功的經驗對當前的語義計算研究有啟示意義。一項新的語義知識資源建設的任務是確定句子中的謂詞並標注其論元的語義角色。本報告介紹這項任務的概況，論述對這項語義知識資源工程的認知並初步總結參與這項工程的實踐經驗。 \nBiography\n俞士汶\, 男\, 1938年12月出生。北京大學資訊科學技術學院教授。1964年自北大計算數學專業畢業後一直在北大從事電腦學科的研究與教學工作。1986年起致力於計算語言學和自然語言處理的研究。作為第一完成人的主要研究成果有以《現代漢語語法資訊詞典》為基礎的“綜合型語言知識庫”，在獲得中國政府部門、中國全國性學術團體以及北京大學的多項獎勵後，於 2011年獲中國國家科學技術進步獎二等獎。同年獲中國中文資訊學會成立30年來首次頒發的終身成就獎。著作8本（其中2003年出版的《計算語言學概論》2016年獲評北京大學優秀教材），第一作者論文約110篇。作為博士生、碩士生的導師和博士後、訪問學者的合作教師，培養了一大批計算語言學領域的高端人才，於2012年獲北京大學訪問學者優秀導師榮譽。“綜合型語言知識庫”於2013年再次獲北京大學首屆產學研結合特別貢獻獎。當前參加中國國家重點基礎研究項目之973課題“融合三元空間的中文語言知識與世界知識獲取和組織”的研究工作。 \n 
URL:https://www.fst.um.edu.mo/event/the-comprehensive-language-knowledge-base-and-its-development/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170324T150000
DTEND;TZID=Asia/Macau:20170324T160000
DTSTAMP:20260513T043609
CREATED:20170324T070006Z
LAST-MODIFIED:20220927T044403Z
UID:6086-1490367600-1490371200@www.fst.um.edu.mo
SUMMARY:Towards Processing of Big Graphs
DESCRIPTION:Instructors/Speakers\nProf. Xuemin LIN\nThe University of New South Wales\, Australia \nAbstract\nGraphs are very important parts of Big Data and widely used for modelling complex structured data with a broad spectrum of applications such as bioinformatics\, web search\, social network\, road network\, etc. Over the last decade\, tremendous research efforts have been devoted to many fundamental problems in managing and analysing graph data. In this talk\, I will present some of our recent research efforts in processing big graphs including scalable processing theory and techniques\, distributed computation\, and system framework. \nBiography\nXuemin Lin is a UNSW Scientia Professor and the head of database group in the school of computer science and engineering at UNSW\, Australia. Xuemin’s research interests lie in databases\, algorithms\, and complexities. Specifically\, he is working in the area of scalable data processing covering graph data\, spatial-temporal data\, streaming data\, uncertain data\, text data\, etc. Xuemin was an associate editor of ACM TODS (2008-2014)\, IEEE TKDE (Feb 2013- Jan 2015)\, and an associate editor-in-Chief of IEEE TKDE (2015-2016). He is currently the Editor-in-Chief of IEEE TKDE (2017 Jan – Now). Xuemin has published over 130 papers in the top venues such as SIGMOD\, SIGIR\, SIGKDD\, ACM MM\, VLDB\, PODS\, ICDE\, IJAIC\, IEEE TKDE\, VLDB J\, and ACM TODS. Xuemin co-authored 16 best papers in the international conferences\, including the best paper award in ICDE2016 and best student paper award in ICDE2007. Xuemin Lin was selected as one of the National Thousand Distinguished Overseas Scholars in China in 2010. He is an IEEE Fellow. \n 
URL:https://www.fst.um.edu.mo/event/towards-processing-of-big-graphs/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170301T153000
DTEND;TZID=Asia/Macau:20170301T163000
DTSTAMP:20260513T043609
CREATED:20170301T073027Z
LAST-MODIFIED:20220927T044404Z
UID:6075-1488382200-1488385800@www.fst.um.edu.mo
SUMMARY:Magical Mathematics - Mathematical Magic
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/magical-mathematics-mathematical-magic/
LOCATION:E4-G053
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170227T110000
DTEND;TZID=Asia/Macau:20170227T120000
DTSTAMP:20260513T043609
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170221T173000
DTEND;TZID=Asia/Macau:20170221T183000
DTSTAMP:20260513T043609
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:20170221T163000
DTEND;TZID=Asia/Macau:20170221T173000
DTSTAMP:20260513T043609
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:20170221T140000
DTEND;TZID=Asia/Macau:20170221T150000
DTSTAMP:20260513T043609
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:20170123T150000
DTEND;TZID=Asia/Macau:20170123T160000
DTSTAMP:20260513T043609
CREATED:20170123T070041Z
LAST-MODIFIED:20220927T045326Z
UID:6042-1485183600-1485187200@www.fst.um.edu.mo
SUMMARY:Selected Research Highlights in Computing and AI
DESCRIPTION:Instructors/Speakers\nProf. James Kwok\nHong Kong University of Science and Technology \nAbstract\nWe will present our work in software engineering\, AI and mobile computing. In software engineering\, it is common to find user reviews in Android play store complaining the performance and energy issues in various Android applications. This talk introduces some recent studies made by the CASTLE research group at HKUST on these issues. We will discuss several interesting empirical findings made from the bug reports and code fixes of popular Android applications. Challenges and opportunities are identified. We will discuss some preliminary approaches and their results. \nIn AI\, big data is everywhere. Besides the huge data scale\, big data problems are also characterized by their high complexities. Often\, there are a lots of input features and involve a lot of learning tasks related in some complicated manner. In this talk\, I will describe several recent approaches in tackling these problems. These algorithms are flexible\, computationally efficient\, and have better empirical performance than existing approaches. \nIn mobile computing\, Mobile Augmented Reality (MAR) is widely regarded as one of the most promising technologies in the next ten years. With MAR\, we are able to blend information from our senses and mobile devices in myriad ways that were not possible before. The way to supplement the real world other than to replace real world with an artificial environment makes it especially preferable for applications such as tourism\, navigation\, entertainment\, advertisement\, and education. In this talk\, I will introduce some latest MAR research activities in our HKUST-DT Systems and Media Lab. \nBiography\nProf. Kwok is a Professor in the Department of Computer Science and Engineering\, Hong Kong University of Science and Technology. He received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. Prof. Kwok served/is serving as Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems and the Neurocomputing journal\, and as Program Chair for a number of international conferences. He is an IEEE Fellow. \n 
URL:https://www.fst.um.edu.mo/event/selected-research-highlights-in-computing-and-ai/
LOCATION:E11-1041 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170116T150000
DTEND;TZID=Asia/Macau:20170116T160000
DTSTAMP:20260513T043609
CREATED:20170116T070007Z
LAST-MODIFIED:20220927T045327Z
UID:6037-1484578800-1484582400@www.fst.um.edu.mo
SUMMARY:Analysis of two-grid methods for miscible displacement problem by mixed finite element methods
DESCRIPTION:Instructors/Speakers\nProf. Yanping CHEN\nProfessor of School of Mathematical Sciences\nSouth China Normal University \nAbstract\nThe miscible displacement of one incompressible fluid by another in a porous medium is governed by a system of two equations. One is elliptic form equation for the pressure and the other is parabolic form equation for the concentration of one of the fluids. Since only the velocity and not the pressure appears explicitly in the concentration equation\, we use a mixed finite element method for the approximation of the pressure equation. In order to find a stable finite element discretization method\, we use different discretization method for the concentration equation\, such as finite element method with characteristic; mixed finite element method with characteristic; expanded mixed finite element method with characteristic etc. To linearize the discretized equations\, we use one (two) Newton iterations on the fine grid in our methods. Firstly\, we solve an original non-linear coupling problem. Then\, solve a linear system on the fine grid and while in second method we make a correction on the coarse grid between one (two) Newton iterations on the fine grid. We obtain the error estimates of two-grid method\, it is shown that coarse space can be extremely coarse and we achieve asymptotically optimal approximation. Finally\, numerical experiment indicates that two-grid algorithm is very effective. \nBiography\nProf. Chen Yanping currently is a professor from School of Mathematical Sciences at South China Normal University. She is also a Guangdong Provincial “Zhujiang Scholar”. Prof. Chen obtained her PhD degree at Shandong University\, and continued her postdoc research at Nanjing University. After that\, Prof. Chen worked at Xiangtan University\, and served as associate director of Hunan Key Laboratory for Computation and Simulation in Science and Engineering from 2002 to 2008. Since 2008\, Prof. Chen moved to South China Normal University. \n 
URL:https://www.fst.um.edu.mo/event/analysis-of-two-grid-methods-for-miscible-displacement-problem-by-mixed-finite-element-methods/
LOCATION:E11-2027
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170116T143000
DTEND;TZID=Asia/Macau:20170116T160000
DTSTAMP:20260513T043609
CREATED:20170116T063004Z
LAST-MODIFIED:20220927T045327Z
UID:6031-1484577000-1484582400@www.fst.um.edu.mo
SUMMARY:Fundamentals\, Properties\, and Applications of Polymer Nanocomposites
DESCRIPTION:Instructors/Speakers\nDr. Joseph H. Koo\nSenior Research Scientist\nPolymer Nanocomposites Technology Laboratory\nDepartment of Mechanical Engineering\nThe University of Texas at Austin \nAbstract\nThe introduction of inorganic nanomaterials as additives into polymers has resulted in polymer nanocomposites exhibiting a multiplicity of high-performance characteristics beyond what traditional polymeric composites possess. These “multifunctional” features attributable to polymer nanocomposites consist of improved properties\, such as thermal\, flame\, ablation\, electrical\, moisture\, chemical\, permeability\, and others. Through control/alteration of the additive at the nanoscale level\, one is able to maximize property enhancement of selected polymer systems to meet or exceed the requirements of current commercial\, military\, and aerospace applications. This seminar includes: an overview of different nanomaterials\, processing techniques\, and selective examples to examine the behavior of polymer nanocomposites for applications\, such as re-entry vehicles\, rocket engines\, additive manufacturing\, and fire protection. \nBiography\nDr. Koo has over 40 years of industrial and academic experience in program and engineering management. Currently\, he is Senior Research Scientist/Research Professor/Director of Polymer Nanocomposites Technology Lab in the Department of Mechanical Engineering at The University of Texas at Austin\, Austin\, TX. Dr. Koo is the founder of KAI\, LLC and currently serves as Vice President and CTO. He is a SAMPE Fellow and Chairman of the SAMPE Nanotechnology Committee. Dr. Koo is an Associate Fellow of AIAA and Past-Chair of the AIAA Materials Technical Committee. He specializes in polymer nanocomposites: processing\, characterization\, and applications\, such as ablatives for thermal protection systems\, flame retardant polymers\, fire resistant fabrics & textiles\, additive manufacturing\, thermally conductive polymer matrix composites\, sensor to measure in-situ ablation recession and thermal properties\, sensors to measure char strength\, thermophysical properties characterization\, ablation modeling\, modeling of polymer degradation\, and insensitive munitions technology of solid rocket motors. Dr. Koo’s publications include two books\, Polymer Nanocomposites: Processing\, Characterization\, and Applications\, McGraw-Hill\, New York (2006)\, and Fundamentals\, Properties\, and Applications of Polymer Nanocomposites\, Cambridge University Press\, Cambridge\, UK (2016)\, and over 500 papers/presentations in materials\, thermal and optical science disciplines. \n 
URL:https://www.fst.um.edu.mo/event/fundamentals-properties-and-applications-of-polymer-nanocomposites/
LOCATION:E11-4045
CATEGORIES:eme_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170116T113000
DTEND;TZID=Asia/Macau:20170116T123000
DTSTAMP:20260513T043609
CREATED:20170116T033028Z
LAST-MODIFIED:20220927T045328Z
UID:6027-1484566200-1484569800@www.fst.um.edu.mo
SUMMARY:Phase Retrieval
DESCRIPTION:Instructors/Speakers\nProf. Peter G. CASAZZA\nDirector of The Frame Research Center and Curators’ Professor\nDepartment of Mathematics\nUniversity of Missouri\nColumbia \nAbstract\nOver the 100 year history of phase retrieval\, it has had broad application to x-ray crystallography\, electron microscopy\, diffractive imaging\, DNA\, x-ray tomography and much more. Phase retrieval will even be needed to align the mirrors of the new James Webb Space Telescope scheduled for launch in 2018. We will start with the history and fundamentals of phase retrieval and its applications which have garnered a dozen Nobel Prizes over the years. Only recently have mathematicians entered this area to give a solid mathematical foundation to phase retrieval. In the second half of this talk we will look at recent advances in the mathematics of phase retrieval. \nBiography\nProf. Casazza is currently the Director of The Frame Research Center abd  Curators’ Professor of Department of Mathematics of University of Missouri. Prof. Casazza worked for 25 years in functional analysis (Banach space theory) and then switched into applied math. He does research in functional analysis\, (applied) harmonic analysis\, operator theory\, but his main research interest is in applications of Hilbert space frames to problems in mathematics\, applied mathematics and engineering. Go to the Frame Research Center to see papers and information on this subject. (http://www.framerc.org/) \n 
URL:https://www.fst.um.edu.mo/event/phase-retrieval/
LOCATION:E11-G015\, Taipa\, Macau
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170112T143000
DTEND;TZID=Asia/Macau:20170112T153000
DTSTAMP:20260513T043609
CREATED:20170112T063042Z
LAST-MODIFIED:20220927T045328Z
UID:6021-1484231400-1484235000@www.fst.um.edu.mo
SUMMARY:Synergy between Software Engineering and Big Data & Artificial Intelligence
DESCRIPTION:Instructors/Speakers\nProf. Tao Xie\nAssociate Professor\nDepartment of Computer Science\nUniversity of Illinois at Urbana-Champaign\nUSA \nAbstract\nBig data analytic or artificial intelligence (AI) systems are software systems too; thus\, software engineering for such software systems plays a critical role for improving development productivity and system dependability. On the other hand\, a huge wealth of various data exists in software life cycle\, including source code\, feature specifications\, bug reports\, test cases\, execution traces/logs\, and real-world user feedback\, etc. Data plays an essential role in modern software development\, because hidden in the data is information about the quality of software and services as well as the dynamics of software development. In recent years\, software analytics has emerged to utilize data-driven approaches to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information for completing various tasks around software and services. This talk presents an overview of recent achievements and future opportunities in the space of software engineering for big data & AI and big data for software engineering. \nBiography\nTao Xie is an Associate Professor and Willett Faculty Scholar in the Department of Computer Science at the University of Illinois at Urbana-Champaign\, USA. He worked as a visiting researcher at Microsoft Research. His research interests are in software engineering\, focusing on software testing\, program analysis\, software analytics\, software security\, and educational software engineering. He received a 2016 Microsoft Research Outstanding Collaborators Award\, a 2014 Google Faculty Research Award\, 2008\, 2009\, and 2010 IBM Faculty Awards. He is an ACM Distinguished Speaker and an IEEE Computer Society Distinguished Visitor. He is an ACM Distinguished Scientist. His homepage is at http://taoxie.cs.illinois.edu. \n 
URL:https://www.fst.um.edu.mo/event/synergy-between-software-engineering-and-big-data-artificial-intelligence/
LOCATION:E4-G051\, Macau
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170112T100000
DTEND;TZID=Asia/Macau:20170112T110000
DTSTAMP:20260513T043609
CREATED:20170112T020012Z
LAST-MODIFIED:20220927T045328Z
UID:6018-1484215200-1484218800@www.fst.um.edu.mo
SUMMARY:Local One Dimensional Embedding for Hyperspectral Image Classification
DESCRIPTION:Instructors/Speakers\nProf. Hong LI\nProfessor\nSchool of Mathematics and Statistics\nHuazhong University of Science and Technology\nWuhan \nAbstract\nHyperspectral image (HSI) classification aims to allocate a unique label to each pixel in the HSI dataset. However\, limited number of labeled pixels and high dimensionality of the HSI dataset makes HSI classification a challenging task. To address these issues\, we propose local one dimensional embedding (L1DE)\, which makes full use of the characteristics of HSI dataset. First\, pixels have similar spectral signatures should be the same class. Second\, pixels in the same spatial area are more likely to be the same class. Advantages of L1DE can be summarized as follows. The L1DE maps the high dimensional feature vector into 1D space. And it ensures that if the coordinates of two pixels are adjacent in the 1D space\, they are more likely to be close to each other in the original spatial domain\, and have similar spectral signatures. Additionally\, the local strategy used in L1DE can reduce the computation burden significantly. By use of L1DE\, we propose two frameworks for HSI classification: multiple L1DE interpolation (ML1DEI) and multiscale spatial information fusion (MSIF). Analysis of the computational cost for these frameworks are given in this report. Experimental results on four widely used HSI datasets indicate that\, the proposed frameworks show outstanding performance when compared with other state-of-the-art methods\, even when very limited labeled pixels are available. \nBiography\nProf. Hong Li is a Professor in School of Mathematics and Statistics\, Huazhong University of Science and Technology. Her research interests include Approximation and Calculation\, Wavelet Analysis and its Application\, Machine Leaning and Artificial Intelligence\, Pattern recognition and image processing\, Time-Frequency Analysis and Signal Processing. \n 
URL:https://www.fst.um.edu.mo/event/local-one-dimensional-embedding-for-hyperspectral-image-classification/
LOCATION:E11-1028
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170111T143000
DTEND;TZID=Asia/Macau:20170111T153000
DTSTAMP:20260513T043609
CREATED:20170111T063022Z
LAST-MODIFIED:20220927T045329Z
UID:6011-1484145000-1484148600@www.fst.um.edu.mo
SUMMARY:The rare event study and its applications in the biological jump processes
DESCRIPTION:Instructors/Speakers\nProf. Tiejun LI\nProfessor\nSchool of Mathematical Sciences\nPeking University\nChina \nAbstract\nThe construction of energy landscape for bio-dynamics is attracting more and more attention recent years. In this talk\, I will introduce the strategy to construct the landscape from its connection with rare events\, which relies on the large deviation theory for Gillespie-type jump dynamics. In the application to a typical genetic switching model\, the two-scale large deviation theory is developed to take into account the fast switching of DNA states. The comparison with other proposals are also discussed. We demonstrate different diffusive limits arise when considering different regimes for genetic translation and switching processes. I will also talk about its applications in understanding the S-phase checkpoint activation mechanism for budding yeast. This is a joint work with Fangting Li\, Xianggang Li\, Cheng Lv and Peijie Zhou. \nBiography\nProf. Li obtained his bachelor degree and PhD at Tsinghua University and is now a full professor at Peking University\, his basic interest is the stochastic modeling and simulations in Science such as chemical reaction kinetics\, rare events\, Anderson localization\, multiscale modeling of complex fluids\, statistical data analysis and so on. Prof. Li has published more than 40 papers on PNAS\, J. Chem. Phys.\, Comm. Math. Phys. and so on. \n 
URL:https://www.fst.um.edu.mo/event/the-rare-event-study-and-its-applications-in-the-biological-jump-processes/
LOCATION:E11-1038
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170111T103000
DTEND;TZID=Asia/Macau:20170111T113000
DTSTAMP:20260513T043609
CREATED:20170111T023012Z
LAST-MODIFIED:20220927T045329Z
UID:6006-1484130600-1484134200@www.fst.um.edu.mo
SUMMARY:Modeling transcription factor binding affinity landscape through machine learning
DESCRIPTION:Instructors/Speakers\nProf. Xin GAO\nAssociate Professor of Computer Science\, Computational Bioscience Research Center (CBRC)\nKing Abdullah University of Science and Technology (KAUST)\nSaudi Arabia \nAbstract\nTranscription factors (TF) are an important family of proteins that control the transcription rate from DNAs to messenger RNAs through the binding to specific DNA sequences. An accurate characterization of TF-DNA binding affinity landscape is crucial to a quantitative understanding of the molecular mechanisms underpinning endogenous gene regulation. In this talk\, I will introduce two machine learning methods that we recently developed for modeling TF-DNA binding affinity. The first method is a two-round support vector regression with weighted degree kernel\, which can accurately capture important k-mers that contribute to high and low affinity values. In contrast\, the second method aims at incorporating both position-specific information and long-range interaction. It is an end-to-end learning framework that combines the strength of graphical models\, Hilbert space embedding\, and deep learning. \nBiography\nDr. Xin Gao is an associate professor of computer science in the Computer\, Electrical and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST)\, Saudi Arabia. He is also a PI in the Computational Bioscience Research Center at KAUST and an adjunct faculty member at David R. Cheriton School of Computer Science at University of Waterloo\, Canada. Prior to joining KAUST\, he was a Lane Fellow at Lane Center for Computational Biology in School of Computer Science at Carnegie Mellon University\, U.S.. He earned his bachelor degree in Computer Science in 2004 from Computer Science and Technology Department at Tsinghua University\, China\, and his Ph.D. degree in Computer Science in 2009 from David R. Cheriton School of Computer Science at University of Waterloo\, Canada. \nDr. Gao’s research interests are building computational models\, developing machine learning techniques\, and designing efficient and effective algorithms\, with particular focus on applications to key open problems in structural biology\, systems biology and synthetic biology. He has co-authored more than 100 research articles in the fields of bioinformatics and machine learning. \n 
URL:https://www.fst.um.edu.mo/event/modeling-transcription-factor-binding-affinity-landscape-through-machine-learning/
LOCATION:E11-1012
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170103T150000
DTEND;TZID=Asia/Macau:20170103T160000
DTSTAMP:20260513T043609
CREATED:20170103T070036Z
LAST-MODIFIED:20220927T045330Z
UID:6001-1483455600-1483459200@www.fst.um.edu.mo
SUMMARY:Safer Refactorings with Assertions
DESCRIPTION:Instructors/Speakers\nDr. Volker Stolz\nBergen University College and the University of Oslo\nNorway \nAbstract\nRefactorings often require that non-trivial semantic correctness conditions are met. IDEs such as Eclipse’s Java Development Tools rely on simpler\, static pre- condition checks for refactorings. This leads to the phenomenon that a seemingly innocuous refactoring can change the behavior of the program. In this thesis we demonstrate our technique of introducing runtime checks of two particular refactorings for the Java programming language: Extract And Move Method\, and Extract Local Variable. These checks can\, in combination with unit tests\, detect changed behavior and identify the refactoring step that introduced it. \nBiography\nDr. Volker Stolz is an associate professor at the Bergen University College and the University of Oslo\, Norway. He is site-leader for the European Horizon 2020 project “COEMS — Continuous Observation of Embedded Multicore Systems”\, vice chair of the EU COST Action IC1402 “ARVI — Runtime Verification Beyond Monitoring”\, and Visiting Professor at the Guizhou Academy of Sciences\, Guiyang. Before moving to Norway\, Dr. Stolz held an Assistant Research Fellow position at UNU-IIST\, Macao (now UNU-CS)\, where he was principal investigator in the MSTDF-funded project on “Applied Runtime Verification”. \nHis interests are formal methods in software engineering\, correctness and verification of software\, and programming language semantics. \n 
URL:https://www.fst.um.edu.mo/event/safer-refactorings-with-assertions/
LOCATION:E11-1035
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20161222T110000
DTEND;TZID=Asia/Macau:20161222T120000
DTSTAMP:20260513T043609
CREATED:20161221T040035Z
LAST-MODIFIED:20251125T032018Z
UID:16245-1482404400-1482408000@www.fst.um.edu.mo
SUMMARY:Application of digital technology in engineering and education: From Game Design to Surveillance system and Visual analysis
DESCRIPTION:Speaker\nProf. Charu Monga\nAssistant Professor\nFounder of ARLab\nDepartment of Design\nIndian Institute of Technology (IIT)\nGuwahati\nIndia \nAbstract\nThe utilization of digital techniques (virtual reality\, game design\, surveillance system\, visual analysis) in different sectors such as education\, engineering and behavioural sciences has been on rise in last decade. These inter-disciplinary interventions enhances accessibility to certain information especially in remote areas and thus efficiency and sustainability of any particular system (Engineering infrastructure\, educational institutes\, IT industry etc.). These interventions will be demonstrated using selective projects such as game design for IT sector\, surveillance system for monitoring of crowd movement as well as visual techniques for analyzing vegetation growth and soil properties. \nGame design for education in both digital and also board form brings many opportunities into learnification. Though\, its application has been intense in training managers or employees in different industry sectors\, however\, the design lacked proper balance of “purpose” and “fun” elements. With that perspective\, a new game was designed\, developed and evaluated considering balance of both “purpose” and “fun” elements for enhancing decision making skills of project manager in IT industry. In order to achieve that\, analogy for hospital based scenario was adopted for the game design. The project was executed jointly by ARLab research group with IT industry. In second project\, a low cost in-house surveillance system is developed and evaluated for monitoring crowd movement at venues (festive occasions\, shopping malls\, metro)\, where crowd management is required. In third project\, application of visual techniques (image analysis) for quantifying spatial heterogeneity among vegetation growth and also estimating soil moisture was explored. Field monitoring of landscape (mixed vegetation cover) was conducted. Spatio-temporal variation in vegetation growth parameters were quantified using image processing and correlated with measured hydraulic conductivity in field. Such quantifications are highly useful for numerical modelers to consider non-uniformity in inputting boundary conditions in their simulations and also opens up alternatives for monitoring of such infrastructures\, which are remote. Discussion will be made to explore opportunities of such interventions in various projects. \nBiography\n\n \n\nCharu Monga is an experienced researcher\, academician and designer. With research interest in cross disciplinary domain and passion towards practice based design. She is an Assistant professor working in the area of designing animations\, films\, games\, communication strategy and social innovations. \nHer current research aims to investigate variety of techniques to promote crafts\, culture\, and tradition to empower educational areas. She uses animation techniques\, films\, videos\, virtual reality\, augmented reality\, illustration\, stories\, technology like 3d printing\, participatory and ethnographic approaches to express her design concepts. \nShe has done her dual Masters in Applied Arts from Delhi University and Film making from Film and Television Institute of India. She has also taught at FTII-Pune\, Delhi University\, NIFT and has nine years of industrial experience as strategist\, visualizer\, game designer\, animator and illustrator in various organizations. She has also executed research projects with World Health Partners\, Group Delphoenix\, Industrial Design Centre\, IIT Bombay\, Sumo Digital\, Foundation 9 Entertainment and Digikriti Entertainment. Her work has been sponsored by Red-Cross Society\, UNIFEM to exhibit in galleries such as Romain Rolland\, Habitat Center and Lalit kala Academy to name a few. She was involved in cross-cultural researches on communication\, design education paradigms and creativity methods\, and has presented it in across the globe. She has delivered 21 invited International seminars and workshops at various universities in countries such as Israel\, Taiwan\, Russia\, Thailand and Singapore as a part of her collaborations internationally. In 2014\, she has created ARLab\, laboratory for fostering multidisciplinary ideas and approaches at Department of Design\, Indian Institute of Technology Guwahati. She is also associated with Centre of Rural Technology at IIT itself. She received Microsoft Faculty Research Grant 2015\, Ministry of Human Resource and Development research grant with industrial partners from Microsoft and TCS. Also awarded Film Heritage Foundation fellowship by Film Division in association with Martin Scorsese’s Film Foundation & Cineteca di Bologna\, L’Immagine Ritrovata. With this she has also extensively published and presented in International journals also conferences.
URL:https://www.fst.um.edu.mo/event/application-of-digital-technology-in-engineering-and-education-from-game-design-to-surveillance-system-and-visual-analysis/
LOCATION:E11-1043
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20161222T100000
DTEND;TZID=Asia/Macau:20161222T110000
DTSTAMP:20260513T043609
CREATED:20161221T040045Z
LAST-MODIFIED:20251125T032018Z
UID:16242-1482400800-1482404400@www.fst.um.edu.mo
SUMMARY:Soil-plant-water-interactions: Challenges with respect to slope remediation and agriculture
DESCRIPTION:Speaker\nProf. Ankit GARG\nAssistant Professor\nDepartment of Civil Engineering\nIndian Institute of Technology (IIT)\nGuwahati\nIndia \nAbstract\nThe presence of vegetation in the upper layer of vadose zone results in complex moisture dynamics (soil-root-water interaction) due to the combined effects of transpiration and soil water evaporation. Unsaturated soil-root composite hydraulic properties\, transpiration and soil water evaporation and effect of plant parameters (i.e.\, leaf area index (LAI)\, root length density (RLD) and root area index (RAI)) on soil property are keys for understanding this complex moisture dynamics. Previous studies have not collectively discussed these plant parameters and unsaturated soil properties to understand moisture dynamics in the vadose zone. The gaps between unsaturated parameters and plants parameters are discussed in the context of agricultural field and bioengineered slopes (a type of slope remediation). In the presentation\, critical review will be presented to discuss hydraulic properties of soil-root composite (water retention curve\, hydraulic conductivity) with respect to soil composition\, soil density and cracked soil. Influences of plant parameters\, such as LAI\, RLD and RAI on boundary conditions will be discussed. The efficacy of soil-root composite water retention curve (SRCWRC) incorporation in the field of agriculture as well as geotechnical engineering (i.e.\, for bioengineered slope stability analysis) will be demonstrated. Also\, recent developments about use of visual techniques for estimating soil parameters would be discussed. \nBiography\n\n \n\nDr Ankit Garg is currently an Assistant Professor in Department of Civil Engineering at the Indian Institute of Technology (IIT)\, Guwahati\, India. He is also a World Bank Monitoring Consultant for infrastructure projects in Assam\, India. His background is Civil and Environmental Engineering (PhD\, The Hong Kong University of Science and Technology). His research focuses on investigation of fundamental unsaturated hydraulic properties of soil with vegetation and plant physical root and leaf characteristics\, such as transpiration reduction function\, root distribution\, root area index and leaf area index. He has identified plant relation with unsaturated soil properties for two species Schefflera heptaphylla and Cynodon dactylon. He has been recently involved in working on identifying visual techniques for estimating soil moisture and vegetation cover (collaboration with faculties from design). His work has been published in around 24 journals including inter-disciplinary journals such as “Journal of plant nutrition and soil science”\, “Catena”\, “Hydrological Processes”\, “Ecological Engineering”. He was invited to deliver seminars at various universities in UK\, Germany\, Japan\, China\, Thailand\, Malaysia\, and Taiwan. He was also invited as visiting scientist at University of Leeds for collaboration in green infrastructure.
URL:https://www.fst.um.edu.mo/event/soil-plant-water-interactions-challenges-with-respect-to-slope-remediation-and-agriculture/
LOCATION:E11-1043
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20161218T110000
DTEND;TZID=Asia/Macau:20161218T120000
DTSTAMP:20260513T043609
CREATED:20161216T040036Z
LAST-MODIFIED:20251125T032018Z
UID:16240-1482058800-1482062400@www.fst.um.edu.mo
SUMMARY:Mechanism and Mitigation Measures of Landslides
DESCRIPTION:Speaker\nProf. Li-jun SU\nProfessor of Geotechnical Engineering\nInstitute of Mountain Hazards and Environment\nChinese Academy of Sciences \nAbstract\nLandslide is a general term used to describe the downslope movement of soil\, rock\, and organic materials under the effects of gravity. In this presentation\, basic types of landslides will be introduced and their characteristics including the mechanism\, velocity effects will be analyzed. After that\, methods and techniques for investigating and evaluating landslides methods will be briefly introduced. At the end\, stabilization and mitigation Measures for different types of landslides will be presented and discussed. \nBiography\nLijun Su\, PhD\, Professor of Geotechnical Engineering at the Institute of Mountain hazards and environment\, Chinese Academy of Sciences (CAS). He obtained his Bachelors Degree and Masters Degree in civil engineering at the Xi’an Jiaotong University in 2000 and 2002\, respectively. Following that\, he earned his PhD degree in geotechnical engineering at the Hong Kong Polytechnic University in 2006. He started his first job at the Xi’an University of Architecture and Technology as an associate professor in 2007. In 2008\, he went to Australia and started to work at the University of Wollongong as a research fellow under a CRC project about non-destructive assessment of railway track conditions. He joined the institute of mountain hazards and environment in February 2012 under the “Hundred Talents” Program of the CAS and now is the vice director of the Key Laboratory of Mountain Hazards and Earth Surface Process\, CAS. He has broad research interests in geotechnical engineering\, including constitutive modeling of geomaterials\, numerical analysis of geotechnical problems\, laboratory and physical model tests\, application of geophysical methods in geotechnical engineering and etc. He is currently working on landslide mechanisms and hazard analysis. He is a scientific editor of the international Journal of Mountain Science and board member of the International Consortium on Landslides. He has published more than 50 journal and conference papers so far.
URL:https://www.fst.um.edu.mo/event/mechanism-and-mitigation-measures-of-landslides/
LOCATION:E11-1043
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20161215T100000
DTEND;TZID=Asia/Macau:20161215T113000
DTSTAMP:20260513T043609
CREATED:20161214T040022Z
LAST-MODIFIED:20251125T032018Z
UID:16237-1481796000-1481801400@www.fst.um.edu.mo
SUMMARY:"Strain based slope deformation and stability analyses - insights from physical and numerical modeling" and "DFOS and PIV-based deformation monitoring of sand foundation model under surcharge loading"
DESCRIPTION:Speaker\nProf. Hong-Hu ZHU\nAssociate Professor of Engineering Geology and Geotechnics\nSchool of Earth Sciences and Engineering\nNanjing University\, China \nAbstract\n(a) The distributed fiber optic sensing (DFOS) technology enables the measurement of strain distribution in soil slopes\, which has gained increasing attention of geotechnical practitioner. In this presentation\, the feasibility of strain based slope stability evaluation for slopes under different loading conditions is investigated. The strain measurements of model slopes during surcharge loading and seepage were analyzed. Empirical relationships were established to evaluate the slope stability condition. To verify the above findings\, finite element models was built and numerical simulations were conducted. The results show that the strain distribution characteristics are closely related to the propagation of plastic zones and the formation of critical slip surfaces. Compared with conventional displacement-based slope monitoring and stability evaluation method\, the strain-based methodology is more efficient and sensitive\, which makes full use of the benefits of the DFOS technology. \n(b) The DFOS and particle image velocimetry (PIV) techniques are used to investigate the deformation behaviour of plane-strain sand foundation models under surcharge loading. Quasi-distributed fibre Bragg grating (FBG) sensors and fully-distributed Brillouin optical time domain analysis (BOTDA) sensors were embedded in the models to capture the internal deformation\, while PIV was used to process digital images taken by a camera placed in the vicinity of the models. The FOS measurements and PIV analyses were combined to reveal the distribution and evolution of deformation of the models under surcharge loading. \nBiography\nHong-Hu Zhu is associate professor of engineering geology and geotechnics at Nanjing University\, China\, and associate director of Suzhou Key Laboratory of Distributed Sensing & Monitoring Technology of Civil Infrastructures. He got the BEng\, MSc and PhD degrees from Zhejiang University (2002)\, Jinan University (2005) and The Hong Kong Polytechnic University (2009)\, respectively. From 2008 to 2010\, he worked as research assistant\, research associate\, and post-doctoral fellow at The Hong Kong Polytechnic University. He has been a visiting scholar at the Department of Engineering\, University of Cambridge\, from 2014 to 2015. His areas of expertise include the development and application of smart monitoring systems for geo-structures\, field instrumentation and evaluation of slope stability and related geo-hazards\, and modelling of time-dependent behaviour of geo-materials. He is the author or co-author of 1 book\, 7 patents\, and over 100 scientific papers. He serves as the invited reviewer of 22 international journals and the guest editor of 3 journal special issues. He is recipient of several national awards including Sliver Hammer Prize for Young Scholars in Geoscience and Dezhen Gu Prize for Young Scholars from the China Geology Society.
URL:https://www.fst.um.edu.mo/event/strain-based-slope-deformation-and-stability-analyses-insights-from-physical-and-numerical-modeling-and-dfos-and-piv-based-deformation-monitoring-of-sand-foundation-model-under-surcharge-loadi/
LOCATION:E11-1035
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20161205T110000
DTEND;TZID=Asia/Macau:20161205T120000
DTSTAMP:20260513T043609
CREATED:20161202T040023Z
LAST-MODIFIED:20251125T032019Z
UID:16235-1480935600-1480939200@www.fst.um.edu.mo
SUMMARY:Observing grain crushing using 3D X-ray microfocus computer tomography images
DESCRIPTION:Speaker\nDr. Ryan Wai Man YAN\nSenior Lecturer\nDepartment of Civil and Environmental Engineering\nUniversity of Auckland\nNew Zealand \nAbstract\nBreakage in granular material has gained more research attention recently. This grain scale behavior would cause significant change to the macroscopic response. The development of x-ray micro-tomography technique makes it possible to non-destructively examine the microstructure of an assemblage at different stages of loading. In this talk\, a 3D micro-focused X-ray CT study will be presented. CT images are used to visualize the development of grain crushing under one-dimensional compression. Initially uniformly graded carbonate grains are prepared into a tailor-made oedometric cell such that X-ray CT scanned images can be taken at different stages (loading and unloading) of the test. State-of-the-art image processing technique has been developed to isolate individual grains from the assemblage. Particulate-scale information including particle size distribution and particle shape characteristics is evaluated from the processed images and the results are compared with other available methods in the literature \nBiography\nDr Ryan Yan is currently a Senior Lecturer in the Department of Civil and Environmental Engineering at the University of Auckland. Prior to moving to New Zealand\, he had been an Assistant Professor at the University of Hong Kong and University of Macau for totally more than 10 years. His current research interests include constitutive and numerical modeling of geomaterials\, grain-scale micromechanics\, geotechnical process monitoring\, and application of Bayesian inference to geotechnical engineering. Ryan is a chartered member of the Hong Kong Institution of Engineers (Geotechnical). He was the recipient of ICACM Young Investigator Award presented by the International Chinese Association for Computational Mechanics in 2013.
URL:https://www.fst.um.edu.mo/event/observing-grain-crushing-using-3d-x-ray-microfocus-computer-tomography-images/
LOCATION:E11-1035
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20161125T170000
DTEND;TZID=Asia/Macau:20161125T183000
DTSTAMP:20260513T043609
CREATED:20161114T040004Z
LAST-MODIFIED:20251125T032019Z
UID:16232-1480093200-1480098600@www.fst.um.edu.mo
SUMMARY:Is Your SHS Corner Radius Good Enough? Homogeneity\, Solving The Testing Problems
DESCRIPTION:Speaker\nMr. Steve Whitfield\nManager of Customer Technical Services\nTata Steel Group \nAbstract\nHot Finished Structural Hollow Sections in building construction has become more and more popular owing to the architecturally aesthetic appearance and the structural efficiency under compression loading. For critical applications the correct use of Hot Finished Structural Hollow Sections can lead to safer use plus reduce member sizes significantly\, rendering attractive visual and spacious impacts on the building layout. \nHot Finished Structural Hollow sections are used for all forms of fabrication from the basic requirement through to the critical applications such as building’s and offshore. It is important to know the different types of hollow sections including the specification and traceability. The half-day seminar will cover topics on how to differentiate the Hot Finished Structural Hollow Sections\, different characteristics such as Homogeneity and small corner radii offer superior section properties\, reduced fabrication costs and improved appearance. Engineers and designers in private sector and government who are working in building and construction industry are most suitable to attend the seminar as the use of Hot Finished Structural Hollow Sections in construction would lead to economical and efficient design solutions. Lecture notes will be provided. \nBiography\nMr. Steve Whitfield\, BEng\, CEng\, MIStructE\, is the Manager of Customer Technical Services from Tata Steel Group and the chartered member of the Institute of Structural Engineers. He graduated from the University of Bradford. He has been working in the construction field for many years. He is familiar to Eurocode and other European Standards and can provide design guidance of steel hollow sections and fabrication. Steve held many useful seminars for engineers and specialists with varying knowledge of steel hollow sections\, tubular steelwork and Tata Steel Design software among UK\, India and Singapore.
URL:https://www.fst.um.edu.mo/event/is-your-shs-corner-radius-good-enough-homogeneity-solving-the-testing-problems/
LOCATION:E11-G015
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20161118T143000
DTEND;TZID=Asia/Macau:20161118T153000
DTSTAMP:20260513T043609
CREATED:20161117T040034Z
LAST-MODIFIED:20251125T032019Z
UID:16225-1479479400-1479483000@www.fst.um.edu.mo
SUMMARY:Understanding Secondary organic aerosol (SOA) – Applications of a Chemical Ionization Mass Spectrometer
DESCRIPTION:Speaker\nProf. Mattias Hallquist\nProfessor\nDepartment of Chemistry and Molecular Biology\nUniversity of Gothenburg\nSweden \nAbstract\nThe secondary organic aerosol (SOA) represents a dominant fraction of the tropospheric aerosol. Still\, the current level of understanding of SOA processes is remarkably low compared to other processes in aerosol science\, i.e. modelled SOA based on experimental findings and existing theory do not capture the variability of observed SOA loadings. Lately\, models have been improved by adding sources/processes to reduce the bias but still there is no model that is capable of describing SOA satisfactorily while capturing a large temporal and spatial variability. The uncertainties associated with SOA relates to its formation from atmospheric oxidation of volatile organic compounds (VOCs). The complexity is compounded further by the fact that each VOC can undergo a number of atmospheric degradation processes to produce a range of oxidised products\, which may or may not contribute to SOA formation and growth. \nUsing High-Resolution Chemical Ionisation ToF-MS (HR-CI-ToF-MS)\, with high resolution (>5000m/Δm)\, makes it possible to distinguish the molecular identity of numerous compounds in complex mixtures for both gas and particle phase. The instrument applies soft ionisation limiting the fragmentation and one can usually identify the parent molecules. The speaker’s research group has since a few years applied HR-CI-ToF-MS to measurements both in laboratory\, for emission studies and in field observations. The presentation will include a survey of SOA with some examples from these recent studies. \nBiography\nProfessor Mattias Hallquist has been active in the field of atmospheric science since 1993\, when doing a PhD with emphasis on chemical kinetics and mechanisms of organic compounds. After a postdoc session at the University of Cambridge he returned to the University of Gothenburg (GU) at Department of Chemistry and Molecular Biology. Currently\, he is leading the secondary organic aerosols (SOA) and traffic emission group and coordinating a multi-project framework (5 year project) on Photochemical Smog in China (Research-Policy). Professor Hallquist is supported by the strategic area: sustainable transport initiative where the focus is air pollution research in developing countries. Professor Hallquist has a profound expertise in aerosol and atmospheric chemistry and is coordinating an initiative on Atmosphere-Climate-Ecosystems at GU.
URL:https://www.fst.um.edu.mo/event/understanding-secondary-organic-aerosol-soa-applications-of-a-chemical-ionization-mass-spectrometer/
LOCATION:E11-1009
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20161007T110000
DTEND;TZID=Asia/Macau:20161007T120000
DTSTAMP:20260513T043609
CREATED:20161006T040002Z
LAST-MODIFIED:20251125T032019Z
UID:16223-1475838000-1475841600@www.fst.um.edu.mo
SUMMARY:Air Pollution Supersite Measurements in Hong Kong
DESCRIPTION:Speaker\nProf. Chak K. CHAN\nDean and Chair Professor\nSchool of Energy and Environment\nCity University of Hong Kong\nHong Kong \nAbstract\nThe rapid urbanization and industrial development in the Pearl River Delta in China has led to aggravating air pollution problems throughout the region. In Hong Kong\, the number of low-visibility (<8km) days has continuously increased since the 1980s and has seen a dramatic rise since the early 2000s. Particulate matter (PM) has been recognized as a major factor in Hong Kong’s urban air quality\, affecting visibility and human health. Studies on PM in Hong Kong have been traditionally based on filter sampling and off-line analysis. Recently\, the HKUST Air Quality Research Supersite was established to focus on real time characterization of PM. In this talk\, we will give an overview of air quality in Hong Kong and the Supersite\, followed by a discussion of the first real time chemical characterization measurements using an Aerodyne High Resolution – Aerosol Mass Spectrometer (HR-AMS) in Hong Kong. \nBiography\nProfessor Chan obtained BSc in Chemical Engineering from the University of Texas at Austin in 1986 and PhD in Chemical Engineering from the California Institute of Technology in 1992. He is currently Dean and Chair Professor in School of Energy and Environment at City University of Hong Kong. He joined the Hong Kong University of Science and Technology (HKUST) as Assistant Professor in 1992 and rose to the rank of Professor in 2006. In 2010\, he was appointed Founding Head of Division of Environment. He was Professor of Division of Environment and Professor of Chemical and Biomolecular Engineering at HKUST. \nProfessor Chan has over 25 years of research experience in air pollution and aerosol science. He specializes in aerosol water uptake and phase transformation\, gas-aerosol interactions and the formation of secondary aerosols in the atmosphere\, as well as laser spectroscopy of aerosols. Professor Chan received Haagen Smit Award of Atmospheric Environment in 2015\, Second Prize of the State Natural Science Award in 2010\, and First Prize of the Natural Science Award in 2007. He was the first winner of the Asian Young Aerosol Scientists Award. He was Science Advisor to Secretary of Environment\, during his sabbatical at the HKSAR Environment Bureau in 2014. He has been an Editor-in-Chief of the journal Atmospheric Environment since 2008. \nhttp://www6.cityu.edu.hk/see/people.htm#Faculty
URL:https://www.fst.um.edu.mo/event/air-pollution-supersite-measurements-in-hong-kong/
LOCATION:E11-1025
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20160822T100000
DTEND;TZID=Asia/Macau:20160822T110000
DTSTAMP:20260513T043609
CREATED:20160819T040023Z
LAST-MODIFIED:20251125T032019Z
UID:16189-1471860000-1471863600@www.fst.um.edu.mo
SUMMARY:Role of Artificial Intelligence Methods in Environmental Engineering
DESCRIPTION:Speaker\nProf. Akhil GARG\nAssociate Professor\nDepartment of Mechatronics Engineering\nShantou University\nChina \nAbstract\nThe talk will firstly introduce the current projects undertaken with a focus on environmental problems. The Artificial Intelligence (AI) can play a greater role to analyse and predict the systems behaviour especially when the systems are complex and only a partial information can be extracted. In this context\, the talk will introduce various classes of AI methods being used to solve the System Identification (SI) problems. A special emphasis will be given to Evolutionary SI approach of Genetic programming (GP)\, which evolves the functional expressions automatically with a fewer hand-on settings. The application and development of GP will be illustrated in context to Environmental Engineering problems. The statistical analysis comprising of the error metrics\, 2-D and 3-D surface plots shall be used to validate the performance of the GP models. \nBiography\n\n \n\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. His main research interests includes Design for Sustainable Technologies\, System Identification\, Data analytics of Industry processes and Robust Optimization. He has worked jointly with Aerospace Industry Rolls-Royce Singapore for 2 years on Design optimization of finishing process. He was rated as “Far-exceeded expectation” Employee for excellent research work by NTU Singapore during the research fellow term from 2014-2015. He bagged 2nd runner up award of Poster presentation on “System Identification by a Computational Intelligence approach” At Shell Inter-Varsity Paper Presentation Contest solely sponsored by SHELL held at Malaysia in the year 2012. He is the founder of Applied Artificial Intelligence Research Group (AAIRG\, www.aairg.org) involving collaborators from 12 countries. Through this research group\, he have experience of supervising 10 undergraduate and 5 post graduate students. He has published 51 SCI Journals articles with 3 Journals stated as highly cited ESI articles in the year 2015. He was appointed as Chair of session “Optimization in Industrial Applications” at 27th International Conference on Industrial\, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE) held at Kaohisung\, China in year 2014. He has reviewed over 35 SCI Journals. \n 
URL:https://www.fst.um.edu.mo/event/role-of-artificial-intelligence-methods-in-environmental-engineering/
LOCATION:E11-1038
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20160726T150000
DTEND;TZID=Asia/Macau:20160726T160000
DTSTAMP:20260513T043609
CREATED:20160725T040036Z
LAST-MODIFIED:20251125T032019Z
UID:16187-1469545200-1469548800@www.fst.um.edu.mo
SUMMARY:Perspectives on Global Climate Change Impacts to Hydrosphere and Cryosphere
DESCRIPTION:Speaker\nProf. Thian Yew GAN\nProfessor\nDepartment of Civil and Environmental Engineering\nUniversity of Alberta\nCanada \nAbstract\nIn recent years\, severe storms have been occurring more frequently and in greater intensity across the world\, resulting in serious damage\, huge property losses and deaths\, such as the Monsoon flood of Pakistan in 2010 that resulted in about 2000 deaths\, the Tropical storm Washi of Philippines in 2011 with more than 1\,200 deaths\, the North India flood in 2013 that caused about 5\,700 deaths. Apparently extreme events estimated to be of 100-year return period or higher had been occurring much more frequently. \nOn the other hand\, semi-arid and arid regions across the world (of which some are also the heartland of agriculture) are prone to prolonged moisture deficit or droughts that lead to loss of multibillion dollar revenues from agriculture\, resulted in famine and even countless deaths. Examples of severe droughts that affected many regions across the world in the first decade of the 21st century are such as the 2004-2005 severe droughts in western USA; the 2007-08 drought in south-eastern parts of South America was its worst drought since 1900; the 2005 drought of Greater Horn Africa seriously affected over 15 million people; the 2002 drought in central Russia had the lowest summer precipitation ever recorded; the 2006 and 2009 droughts of China damaged millions of hectares of crops; 2001-2010 had been the worst decade of drought in Australia. \nSince the mid-20th century\, the Earth has been undergoing potentially rapid changes in all cryospheric components: Arctic sea ice shrinkage\, mountain glacier recession\, thawing permafrost\, diminishing snow cover\, and accelerated melting of the Greenland ice sheet. Perspectives on the global energy balance\, greenhouse effects and examples of observed changes to the hydrosphere and the cryosphere will be presented. Future climate scenarios projected by general circulation models (GCMs) of the 4th Assessment Report of the Intergovernmental Panel of Climate Change (IPCC\, 2007)\, and that of the 5th Coupled Model Intercomparison Project (CMIP5) of IPCC\, and case studies based on regional climate models and land surface schemes will be discussed. The discussions will also include possible implications to the future global climate\, hydrology\, and water resources under the impacts of climate change. \nBiography\nThian Yew Gan is a professor of civil engineering of the University of Alberta specializing in cryosphere\, satellite data\, hydrology\, hydroclimatology\, climate change. He is a research ambassador of DAAD (German Academic Exchange Service)\, and a fellow of the American Society of Civil Engineers (ASCE). He has published about 100 refereed journal papers\, a book by the Cambridge University Press\, and has over 3\,000 scientific citations. He has been a visiting professor of the National U of Singapore\, Nanyang Technological University of Singapore (2013\, 2014); Aalto University\, Finland (2013); a visiting scholar of United Nation University (UNU-FLORES)\, Germany (2013); a Rossby Fellow of Stockholm University\, Sweden (2012); Erskine Fellow of University of Canterbury\, New Zealand (2011); Visiting professor of Swiss Institute of Technology (EPFL)\, Lausanne\, Switzerland (2010); Research Scientist of Cemagraf\, France (2009); CIRES Visiting Fellow of University of Colorado-Boulder (2007); Guest university professor (W3) of Technical University of Munich\, Germany (2006-07); Adjunct professor of Utah State University\, USA (1998-2005); Honorary Professor of Xian University of Technology and Yangtze University of China; JSPS Fellow of Kyoto University (2000) and guest professor of Saga University (1999) of Japan\, and assistant professor of Asian Institute of Technology (1989- 1990)\, Bangkok. \n 
URL:https://www.fst.um.edu.mo/event/perspectives-on-global-climate-change-impacts-to-hydrosphere-and-cryosphere/
LOCATION:E11-1006
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160720
DTEND;VALUE=DATE:20160723
DTSTAMP:20260513T043609
CREATED:20160719T040036Z
LAST-MODIFIED:20251125T032019Z
UID:16250-1468972800-1469231999@www.fst.um.edu.mo
SUMMARY:Civil Engineering Summer Camp 2016 土木工程夏令營2016
DESCRIPTION:
URL:https://www.fst.um.edu.mo/academics/summer-camp/summer-camp-2016/civil-engineering-summer-camp-2016/#new_tab
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20160607T103000
DTEND;TZID=Asia/Macau:20160607T113000
DTSTAMP:20260513T043609
CREATED:20160606T040024Z
LAST-MODIFIED:20251125T032019Z
UID:16278-1465295400-1465299000@www.fst.um.edu.mo
SUMMARY:Scope of Interdisciplinary research in Bio-geotechnology: From Geotechnical to Biotechnology to Design
DESCRIPTION:Speaker\nDr. Ankit GARG\nAssistant Professor\nDepartment of Civil Engineering\nIndian Institute of Technology Guwahati\nIndia \nAbstract\nThe session explores the Multidisciplinary approaches in sustainable geotechnical/agricultural engineering. We are currently working on “sustainable geotechnical engineering using biochar/natural fiber from harmful waste/vegetation. These have implications in bioengineered slopes\, green roofs\, agricultural fields as well as wetlands. In the above theme\, researchers with expertise from geotechnology (IIT Guwahati)\, biotechnology (Hungary\, Tunisia and Poland)\, probabilistic analysis [IIT Guwahati]\, Artificial intelligence (AAIRG\, China) and communicational material for industry/society (IIT Guwahati) are integrated in a very systematic framework through CREATED Collab (Founded by Prof Charu Monga\, Department of Design\, IIT Guwahati and collaborator). A demonstration will be given in linkage above mentioned expertise in application of bio-engineered slopes. Linkage of soil suction/moisture with vegetation parameters such as leaf area index/root area index was identified based on testing on series of experiments in laboratory and field. In addition\, suctions in vegetated soils in field were analysed using a probabilistic framework. Artificial intelligence has been used to develop models to predict water retention curves under effect of roots. A novel natural textile was developed from harmful weed “Water hyacinth” for bio-engineering applications. All these research findings/products can be transferred from laboratory to society/industry using communication tools using animation\, illustration\, film making\, virtual reality\, and new media practices. \nBiography\nDr. Ankit Garg’s is currently an Assistant Professor in Department of Civil Engineering at IIT Guwahati. He is also World Bank Consultant (from June 2016) for infrastructure projects in Assam\, India. His research focusses on investigation fundamental unsaturated hydraulic properties of soil with vegetation. He has extensively used both laboratory and field instrumentation to investigate such properties. In addition\, he has expertise in investigating plant physical root and leaf characteristics such as transpiration reduction function\, root distribution\, root area index and leaf area index. He has identified its relation with unsaturated soil properties before for two species Schefflera heptaphylla and Cynodon dactylon. The work is published in 20 journals including those in inter-disciplinary nature such as “Journal of plant nutrition and soil science”\, “Catena”\, “Hydrological Processes”\, “Ecological Engineering”. Currently\, he is also involved in identifying the growth performance of transgenic Cow pea (Vigna ungiculata) in different types of atmospheric conditions. The experience will be very useful for achieving the desired objectives. He is also co-founder of applied artificial intelligence research group (AAIRG) (www.aairg.org)\, whose aim is to provide a platform for conducting research in application of AI in different areas including bio-geotechnology. Currently\, the group collaborators are from over 12 different countries. He has earlier delivered invited lectures on bio-geotechnology related work at Ruhr University Germany and South China University of Technology China. \n 
URL:https://www.fst.um.edu.mo/event/scope-of-interdisciplinary-research-in-bio-geotechnology-from-geotechnical-to-biotechnology-to-design/
LOCATION:E11-1006
CATEGORIES:cee_events
END:VEVENT
END:VCALENDAR