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TZID:Asia/Macau
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
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DTSTART:20190101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191101T153000
DTEND;TZID=Asia/Macau:20191101T163000
DTSTAMP:20260610T174021
CREATED:20191101T073006Z
LAST-MODIFIED:20220927T040648Z
UID:5753-1572622200-1572625800@www.fst.um.edu.mo
SUMMARY:'Digital Hong Kong' Multi-hazard Risk Evaluation in Extreme Weather Conditions
DESCRIPTION:Instructors/Speakers\nProf. Limin ZHANG\nChair Professor of Geotechnical Engineering\nDirector of Geotechnical Centrifuge Facility\nAssociate Director of Great Smart Cities Institute\nAssociate Head of Department of Civil and Environmental Engineering\nHong Kong University of Science and Technology\nHong Kong \nAbstract\nAn extreme storm may trigger a large number of flood spots\, landslides and debris flows in Hong Kong. The consequences can be catastrophic. To develop strategies to cope with geohazrads induced by extreme rainstorms\, a good understanding of the generation and propagation of hazards during a storm is essential. HKUST is in the process of developing a “Digital Hong Kong” multi-hazard simulation platform to evaluate possible hazardous processes in critical rainstorms in the entire Hong Kong. The simulation framework is introduced and its potential use in enhancing the resilience of Hong Kong is discussed in this seminar. \nBiography\nProf. Limin Zhang is Chair Professor of Geotechnical Engineering\, Director of Geotechnical Centrifuge Facility and Associate Director of Great Smart Cities Institute at the Hong Kong University of Science and Technology. His research areas include slopes\, dams\, geotechnical risk assessment and management\, and centrifuge modeling. Prof. Zhang is Chair of ISSMGE TC210 on Embankment Dams and Chair of ASCE Risk Assessment and Management Committee. He is also Editor-in-Chief of International Journal Georisk\, Associate Editor of ASCE’s Journal of Geotechnical and Geoenvironmental Engineering\, and editorial board member of Engineering Geology\, Computers and Geotechnics and several other journals. \n 
URL:https://www.fst.um.edu.mo/event/digital-hong-kong-multi-hazard-risk-evaluation-in-extreme-weather-conditions/
LOCATION:E11-1009
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191106T103000
DTEND;TZID=Asia/Macau:20191106T113000
DTSTAMP:20260610T174021
CREATED:20191106T023013Z
LAST-MODIFIED:20220927T040647Z
UID:5757-1573036200-1573039800@www.fst.um.edu.mo
SUMMARY:Web Identity Security (WIS) in Big Data Er
DESCRIPTION:Instructors/Speakers\nDr. Wenyin LIU\nWIS Lab\nGuangdong University of Technology \nAbstract\nA web identity is an identifier that uniquely identifies and represents an entity in the Cyberspace. Web identity security focuses on accurate identity verification and prevention of identity impersonation\, fraud\, leakage\, theft\, etc. Nowadays\, the increasing scale of the Web gives rise to the problems of “Password Fatigue”\, “Phishing Attacks” and “Brute Force Password Attacks”\, and brings great challenges to the currently dominant password-based web identity authentication scheme. \nIn this talk\, we will first present the threats and challenges to Web identity security and then introduce our solutions and suggestions. In particular\, we propose a new web identity authentication mechanism by introducing a module named “Trusted User Agent” in the authentication process\, which is compatible with the current password-based mechanism. Specifically\, the user account information is automatically generated by\, stored in the trusted user agent\, and directly sent to the corresponding server\, which authorizes the corresponding session on the specific terminal after successful authentication. This forms a secure closed authentication loop\, in which credentials will never be sent to\, and stolen by phishers at the browser. The proposed mechanism helps users automatically register new accounts with unlinkable identities and strong passwords\, thus free from password cracking. We develop a system based on this mechanism and implement automatic change of passwords as well. Analyses and user studies have been conducted to show its security\, usability\, and deployability\, being superior to the current password-based mechanism. \nA phishing detection mechanism based on parasitic community will then be presented\, which not only reaches an accuracy of 99.2%\, but is the only system in the world capable of discovering phishing targets. A deep learning based solution will also be presented\, which can detect a phishing URL with a very fast speed (20ms) and a very high precision (TPR=98.45% while FPR=0.01%). \nBiography\nDr. Liu Wenyin is currently a Professor in School of Computer Science and Technology\, Guangdong University of Technology. He was Deputy Director of Multimedia software Engineering Research Centre at the City University of Hong Kong from 2013 to 2016\, an assistant professor in the Department of Computer Science at the City University of Hong Kong from 2002 to 2012\, and a full time researcher at Microsoft Research China/Asia from 1999 to 2001. His current research interests include blockchain\, anti-phishing\, Web identity authentication and management. He has BEng and MEng degrees in computer science from Tsinghua University\, Beijing and a doctoral degree from the Technion\, Israel Institute of Technology\, Haifa. In 2003\, he was awarded the IAPR/ICDAR Outstanding Young Researcher Award. In 2010\, he was elected to IAPR Fellow for his contributions to graphics recognition and anti-phishing. He had been TC10 chair of IAPR for two terms 2006-2010. He had been on the IAPR Fellow Committee for three terms 2010-2016. He had been on the editorial boards of the International Journal of Document Analysis and Recognition (IJDAR) from 2006 to 2011 and the IET Computer Vision journal from 2011-2012. He is also an angel investor in the areas of cybersecurity\, blockchain\, big data\, and Robots. \n 
URL:https://www.fst.um.edu.mo/event/web-identity-security-wis-in-big-data-er/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191108T103000
DTEND;TZID=Asia/Macau:20191108T113000
DTSTAMP:20260610T174021
CREATED:20191108T023057Z
LAST-MODIFIED:20220927T035724Z
UID:5767-1573209000-1573212600@www.fst.um.edu.mo
SUMMARY:The Technology and Application of Speech Translation
DESCRIPTION:Instructors/Speakers\nDr. Boxing CHEN\nMachine Intelligence Lab\nDAMO Academy of Alibaba Group \nAbstract\nWith the significant performance improvement of automatic speech recognition and machine translation\, speech translation comes to the real life from the science fiction. There are two paradigms for speech translation: cascaded and end2end speech translation systems. Due to the size of the available training data\, cascaded speech translation system still over-performs the end2end speech translation system. However\, cascaded speech translation system also suffers the error propagation problem. ASR errors\, punctuation restoration\, language informality\, and disfluency etc. are the main challenges for speech translation. We invest effort in all components of the cascaded speech translation system. We achieve improvement for each component in the pipeline\, therefor result better overall speech translation performance. We show some scenarios at Alibaba\, which we apply speech translation for technical lecture\, communications between buyer and seller\, oversea traveling\, etc. \nBiography\nBoxing Chen is a Senior Algorithm Expert at Machine Intelligence Lab\, DAMO Academy of Alibaba Group. He works on natural language processing\, mainly focus on machine translation. Prior to Alibaba\, he was a Research Officer at the National Research Council Canada (NRC)\, Senior Research Fellow at the Institute for Infocomm Research in Singapore\, a Postdoc at FBK-IRST in Italy and a Postdoc at the University of Grenoble in France. He received his PhD degree from Chinese Academy of Science and Bachelor degree from Peking University in China. He has co-authored more than 50 papers in the NLP conferences and journals. He has received the “The best paper award” from MT Summit 2013\, and “The best paper award nomination” from ACL 2013. His teams ranked the first place in WMT 2018 for five translation tasks and six quality estimation sub-tasks; the first place in WMT 2017 Russian-to-English translation\, the first place in the NIST 2012 OpenMT Chinese-to-English translation\, the first place in the IWSLT 2007 Chinese-to-English translation and IWSLT 2005 Chinese-to-English and Japanese-to-English translation\, etc. \n 
URL:https://www.fst.um.edu.mo/event/the-technology-and-application-of-speech-translation/
LOCATION:E12-G003
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191108T110000
DTEND;TZID=Asia/Macau:20191108T120000
DTSTAMP:20260610T174021
CREATED:20191108T033908Z
LAST-MODIFIED:20251125T032018Z
UID:5770-1573210800-1573214400@www.fst.um.edu.mo
SUMMARY:The “smart water” application on urban water network distribution real-time monitoring and control system
DESCRIPTION:Instructors/Speakers\nProf. Jeffrey Y. CHENG\nAssociate Professor of Civil Engineering\nSchool of Engineering\nUniversity of Guam\nGuam \nAbstract\nThe “smart water systems” have been introduced to China since 2010 summer in EXPO 2010\, which could be the leading way to improve the urban water distribution problems. In the network age of “4G” going to be “5G”\, leveraging recent advances in technologies surrounding the Internet devices\, urban water distribution systems are poised to transform water supplies management by enabling ubiquitous real-time sensing and control. \nThis paper introduces the methodology of urban water distribution system data collection\, database creation and management\, GIS and BIM applications\, EPA-NET hydraulic and water quality model creation\, real-time sensing and control application. And combined them into a completed real time urban water distribution monitoring program\, the program not only be able to monitoring the metro water distribution but also utilize artificial intelligence (AI) and machine learning to predict the potential issues in the system and provide the optimized solution. \nBiography\nProf. Jeffrey Y. CHENG is currently an Associate Professor of Civil Engineering of the University of Guam. Prof. Cheng obtained his PhD Degree in Civil Engineering from the University of Colorado in 2011. He has been teaching in St Cloud State University\, University of Colorado Denver\, Metro State University of Denver and Los Angeles Pierce College before his current position in University of Guam. Prof. Cheng also has rich industrial experience for over 20 years\, he is currently a senior water resource engineering in Engineering Analytics Inc. Ft Collins CO. Prof. Zhang is working on multiple research projects namely “Flood Mitigation and Water Quality Improvement of City McGregor”\, “Quarry Park and Nature Preserve Water Quality Concern Analysis”\, “Digital Open Channel Flume Design and Construction” \, “Statistical hydrology data analysis for Minnesota regional area” and “Reclamation Action Plan\, Design and Construction of Idorado Mine Site”. \n 
URL:https://www.fst.um.edu.mo/event/the-smart-water-application-on-urban-water-network-distribution-real-time-monitoring-and-control-system/
LOCATION:E11-1009
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191125T113000
DTEND;TZID=Asia/Macau:20191125T123000
DTSTAMP:20260610T174021
CREATED:20191125T033051Z
LAST-MODIFIED:20220927T035724Z
UID:5774-1574681400-1574685000@www.fst.um.edu.mo
SUMMARY:Depth-based Image Processing for Occlusion and Reflection Removal
DESCRIPTION:Instructors/Speakers\nProf. Daniel P. K. LUN\nDepartment of Electronic and Information Engineering\nHong Kong Polytechnic University \nAbstract\nIn 3D computer graphics\, the depth map of a scene is a dataset that provides information about the distance of the surfaces of scene objects from a viewpoint. Nowadays\, we can effectively estimate the depth map of a scene using different hardware or software techniques. It is particularly the case with the recent high-end mobile devices which are all equipped with multiple cameras. The depth map can be estimated using different triangulation methods based on the multiple images captured by the cameras. Once the depth map is obtained\, the next question is what we can do with such additional information of the scene. In this seminar\, the use of the depth information in occlusion removal and reflection removal is discussed. It will be shown that the depth information enables some interesting image processing functions that can hardly be achieved in the past. By using modern data-driven methods\, these depth-based image processing applications can be accomplished within a couple of seconds when running with a GPU. They will be the next applications of modern mobile devices with GPU support. \nBiography\nDaniel\, P.K. Lun received his B.Sc.(Hons.) degree with 1st Class Honours from the University of Essex\, U.K.\, and PhD degree from the Hong Kong Polytechnic University (formerly called Hong Kong Polytechnic) in 1988 and 1991\, respectively. In 1991\, he joined the Hong Kong Polytechnic University\, and is now an Associate Professor and Associate Head of the Department of Electronic and Information Engineering. Dr Lun is active in research. He has published more than 150 international journals and conference papers in the areas of wavelets theory\, signal and image enhancement\, computational imaging and deep neural networks. One of his research projects “A study of the Computer Tomography and the Wavelet Transform” was rate as Excellent by the Hong Kong Research Grants Council. He and his research students have also received three best paper awards in international conferences. Dr Lun was the Chairman of the IEEE Hong Kong Chapter of Signal Processing in 1999-00. He was the General Chair of 2004 International Symposium on Intelligent Multimedia\, Video and Speech Processing (ISIMP 2004)\, and General Co-Chair of 19th International Conference on Digital Signal Processing (DSP 2014). He was also the Technical Co-Chair of 2015 APSIPA Annual Summit and Conference (APSIPA ASC 2015)\, and Technical Co-Chair of 2015 IEEE 20th International Conference on Digital Signal Processing (DSP 2015). He was the executive committee members of a number of other conferences including the 2003 IEEE International Conference on Acoustics\, Speech and Signal Processing (ICASSP 2003)\, 2010 IEEE International Conference on Image Processing (ICIP 2010) and 2017 IEEE International Conference on Multimedia and Expo (ICME 2017). He received the Certificate of Merit from the IEEE Signal Processing Society for dedication and leadership in organizing the 2010 IEEE International Conference on Image Processing (ICIP). He is a member of the IEEE Circuits and Systems Society VSPC and DSP Technical Committees. He was the Editor of HKIE Transactions published by the Hong Kong Institution of Engineers in the area of Electrical Engineering. He was also the leading guest editor of a special issue of EURASIP journal of Advances in Signal Processing. He is currently an Associate Editor of IEEE Signal Processing Letters and IEEE Open Journal of Circuits and Systems. Dr Lun is a Chartered Engineer\, a fellow of IET\, a corporate member of HKIE and a senior member of IEEE. \n 
URL:https://www.fst.um.edu.mo/event/depth-based-image-processing-for-occlusion-and-reflection-removal/
LOCATION:E11-1006 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191128T160000
DTEND;TZID=Asia/Macau:20191128T170000
DTSTAMP:20260610T174021
CREATED:20191128T080029Z
LAST-MODIFIED:20251125T032018Z
UID:5737-1574956800-1574960400@www.fst.um.edu.mo
SUMMARY:BIM and its Development in Hong Kong
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/bim-and-its-development-in-hong-kong/
LOCATION:E12-G004
CATEGORIES:cee_events,event_list,seminarslectures
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