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X-WR-CALNAME:Faculty of Science and Technology | University of Macau
X-ORIGINAL-URL:https://www.fst.um.edu.mo
X-WR-CALDESC:Events for Faculty of Science and Technology | University of Macau
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BEGIN:VTIMEZONE
TZID:Asia/Macau
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:CST
DTSTART:20190101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210408T140000
DTEND;TZID=Asia/Macau:20210409T150000
DTSTAMP:20260611T155650
CREATED:20210401T050338Z
LAST-MODIFIED:20220927T034543Z
UID:16507-1617890400-1617980400@www.fst.um.edu.mo
SUMMARY:UM-SIAT Workshop on Cooperative Innovation between Information Technology and Life Science
DESCRIPTION: \n \n \n \n \n \n \n \n \n \n \n \n \n \n  \n 
URL:https://www.fst.um.edu.mo/event/um-siat-workshop-on-cooperative-innovation-between-information-technology-and-life-science/
LOCATION:N21-5007
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210401
DTEND;VALUE=DATE:20210409
DTSTAMP:20260611T155650
CREATED:20210401T045441Z
LAST-MODIFIED:20220927T034543Z
UID:16497-1617235200-1617926399@www.fst.um.edu.mo
SUMMARY:2021 Bank of China Macau Branch Recruitment - Positions for Information Technology
DESCRIPTION:中國銀行澳門分行2021年春季校園招聘已開始接受報名，本次共有四個崗位供同學選擇，而信息科技崗為重點招聘崗位之一，讓更多有需要的同學獲取更多、更佳的就業機會，使同學能於職業道路上學以致用、一展所長!\n招聘對象：2020、2021年的畢業生​ \n截止時間：2021年4月8日 （星期四）24:00\n連結：​https://mp.weixin.qq.com/s/Dn2eI7Tt4pkpwrp8qzKGiQ\n報名連結：http://campus.chinahr.com/views/2021/boc-spring/index.html\n報名攻略：https://b.xiumi.us/board/v5/4tQZC/275688846\n筆試日期：4月中下旬（暫定）\n筆試形式：待定​ \n如有任可疑問或需要更多資訊，歡迎電郵至recruit@bocmacau.com或致電(853)8792    0809與趙小姐聯繫
URL:https://www.fst.um.edu.mo/event/2021-bank-of-china-macau-branch-recruitment-positions-for-information-technology/
LOCATION:Online
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210117T120000
DTEND;TZID=Asia/Macau:20210117T150000
DTSTAMP:20260611T155650
CREATED:20210113T065610Z
LAST-MODIFIED:20220927T034544Z
UID:14337-1610884800-1610895600@www.fst.um.edu.mo
SUMMARY:UM Scholar Research Forum
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/um-scholar-research-forum/
LOCATION:E4-G051\, Macau
CATEGORIES:activities,cee_events,ece_events,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210117T110000
DTEND;TZID=Asia/Macau:20210117T170000
DTSTAMP:20260611T155650
CREATED:20210111T040450Z
LAST-MODIFIED:20220927T034621Z
UID:14323-1610881200-1610902800@www.fst.um.edu.mo
SUMMARY:UM Open Day
DESCRIPTION:
URL:https://www.fst.um.edu.mo/wp-content/uploads/2021/01/Open-day-poster-2021.pdf#new_tab
CATEGORIES:activities,cee_events,ece_events,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20201202T170000
DTEND;TZID=Asia/Macau:20201202T180000
DTSTAMP:20260611T155650
CREATED:20201126T021441Z
LAST-MODIFIED:20251125T032009Z
UID:13723-1606928400-1606932000@www.fst.um.edu.mo
SUMMARY:Bayesian intelligent data-centric framework for structural health monitoring
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/cee-seminar-bayesian-intelligent-data-centric-framework-for-structural-health-monitoring/
LOCATION:E11-3033
CATEGORIES:activities,cee_events,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20201110T160000
DTEND;TZID=Asia/Macau:20201110T170000
DTSTAMP:20260611T155650
CREATED:20201109T031523Z
LAST-MODIFIED:20251125T032009Z
UID:9535-1605024000-1605027600@www.fst.um.edu.mo
SUMMARY:Markov chain Monte Carlo based Bayesian method for railway ballast damage detection
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/markov-chain-monte-carlo-based-bayesian-method-for-railway-ballast-damage-detection/
LOCATION:E11-1021\, Macau
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20201023T143000
DTEND;TZID=Asia/Macau:20201023T160000
DTSTAMP:20260611T155650
CREATED:20201021T134340Z
LAST-MODIFIED:20220927T035721Z
UID:9185-1603463400-1603468800@www.fst.um.edu.mo
SUMMARY:Launch Ceremony of Macao Autonomous Driving Bus Testing Platform
DESCRIPTION:Objective  \nThe Faculty and the State Key Laboratory of Smart City Internet of Things (SKL-IoTSC) have made important progress in the field of autonomous driving. The research about autonomous driving funded by the Macao Science and Technology Development Fund (FDCT) has recently completed preliminary tests on campus. The faculty will hold a launch ceremony of the testing platform on 23 October 2020.   \nTargeted audience  \nAll are welcome \nTime \n23 October 14:30-16:00  \nLocation \nLotus Plaza (in front of Administration Building N6) \nRemarks \nFor any inquiry\, please contact Alice Lam @alicewmlam@um.edu.mo
URL:https://www.fst.um.edu.mo/event/launch-ceremony-of-macao-autonomous-driving-bus-testing-platform/
LOCATION:Lotus Plaza (in front of Administration Building N6)
CATEGORIES:activities,Event,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20201023T100000
DTEND;TZID=Asia/Macau:20201023T121500
DTSTAMP:20260611T155650
CREATED:20201021T133227Z
LAST-MODIFIED:20220927T035721Z
UID:9175-1603447200-1603455300@www.fst.um.edu.mo
SUMMARY:Seminar of Macao Autonomous Driving Bus Testing Platform
DESCRIPTION:Objective  \nThe Faculty and the State Key Laboratory of Smart City Internet of Things (SKL-IoTSC) have made important progress in the field of autonomous driving. The research about autonomous driving funded by the Macao Science and Technology Development Fund (FDCT) has recently completed preliminary tests on campus. This seminar will get more people to understand this topic by introducing multi-agent cooperation technology\, machine learning\, multimodal perception technology and challenges of autonomous driving testing technology.  \nTargeted audience  \nAll are welcome \nTime \n– 23 October 10:00-12:15 (Seminar) \nRemarks \nFor any inquiry\, please contact Alice Lam @alicewmlam@um.edu.mo
URL:https://www.fst.um.edu.mo/event/seminar-of-macao-autonomous-driving-bus-testing-platform/
LOCATION:N21- G013
CATEGORIES:activities,Event,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20201019T093000
DTEND;TZID=Asia/Macau:20201030T123000
DTSTAMP:20260611T155650
CREATED:20200928T090855Z
LAST-MODIFIED:20220927T035722Z
UID:8991-1603099800-1604061000@www.fst.um.edu.mo
SUMMARY:Short Seminar Course - Connected and Autonomous Driving
DESCRIPTION:Objective  \nUM is running a research program on Connected and Autonomous Driving\, funded by FDCT. CAD Test platforms are to be landed on campus soon. This course is an integral educational component of this program. It’s objectives are to help students: \n– Gain basic knowledge and principles about CAD\n– Gain hands-on practical experience in Carla simulation and Baidu Apollo \n \n \n  \n  \n  \n  \n  \n  \n  \nTargeted audience  \n– Seniors and postgraduates with interest in autonomous driving and connected vehicles\n– Good standing of FST/IoTSC/ICI postgraduates; Knowledge in Python is not must\, but a plus \n  \nTime \n– 19 October to 30 October\, 2020 (10 days)\n– 9:30am-12:30pm weekday (2 hours/day lectures\, plus 1 hour/day for hands-on labs) \n  \nRegistration \nDue to the limits of class size\, please register by scanning the QR code:  \n \n  \n  \n  \n  \n  \n  \nFormat & Topical Contents  \n– Lectures on principles by knowledgeable professors\, plus tutorials by experienced engineers\n– Form groups to compete with each other in self-driving car races  \n– Overview of CAD (Chengzhong Xu\, Chair Professor of CIS)\n– Sensing technologies for self-driving (Hui Kong of NJUST\, Guest Lecturer)\n– Visual computing for self-driving (Jiantao Zhou\, Assoc. Prof of CIS)\n– Deep ML for autonomous driving (Chengzhong Xu\, Chair Professor of CIS)\n– V2X communication and edge computing for connected vehicles (Yuan Wu\, Assoc. Prof of CIS)\n– Data and knowledge fusion for CAD (Ryan U\, Assoc. Prof of CIS)\n– Modeling and analysis of hybrid human/autonomous driving (Zhenning Li\, Research Fellow of IoTSC)\n– Legal\, security/privacy and regulation of autonomous driving (Kun Pang Kou\, Assoc. Prof of CEE)\n– Tutorial on Baidu Apollo (Baidu engineer)\n– Tutorial on Carla Simulation in Python  (TA) \n  \nRemark \nThis is a zero-credit hour seminar course\, certificate will be issued after completing the course. For inquires\, please send email to jtzhou@um.edu.mo
URL:https://www.fst.um.edu.mo/event/short-seminar-course-connected-and-autonomous-driving/
LOCATION:E11 (Room: To be confirmed)
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20200903
DTEND;VALUE=DATE:20200905
DTSTAMP:20260611T155650
CREATED:20200831T090031Z
LAST-MODIFIED:20220927T035722Z
UID:8847-1599091200-1599263999@www.fst.um.edu.mo
SUMMARY:Orientations for 2020-2021 New Bachelor & Postgraduate Students
DESCRIPTION:Introduction \nThe orientation provides the foundation for students to adapt to and succeed in the University learning environment. To ensure that the benefits of the programme are maximized\, students are required to participate in orientation activities according to the following schedule. In accordance with the prevention guidelines issued by the Centre for Disease Control of the Macau SAR Government regarding the Novel Coronavirus Pneumonia\, participants of the orientation activities have to follow the instructions below: \n\nAll participants are required to take body temperature and present the “Green” Macau Health Code before entering the venue\nAdmission of any participants presenting with fever or respiratory symptoms will be declined\nAll participants are required to wear a mask at all times in the activity venue and follow the epidemic prevention guideline on the day of the event\nA minimum distance of one metre should be maintained from others\n\n  \nBachelor Orientation Rundown (3 Sep 2020\, Thursday 14:00) \n\n\n\n\nRundown \n\n\nVenue \n\n\n\n\n1. Welcome Speech by the Dean of FST \n2. Individual Department Sharing and Discussion \n\n\nCIS:   E11-1006 & 1009  \nCEE:  E11-1012 & 1015 \nECE:  E11-1035 & 1036  \nEME:  E11-1027 & 1028 \nMAT:  E11-1025 & 1026  \nDPC:  N23-4018 \n\n\n\n\n  \nPostgraduate Orientation Rundown (4 Sep 2020\, Friday 11:15) \n\n\n\n\nRundown \n\n\nVenue \n\n\n\n\n1. Welcome Speech by the Dean of FST \n2. Individual Department Sharing and Discussion \n\n\nCIS:  E11-1006 & 1009  \nCEE:  E11-1012 & 1015 \nECE:  E11-1025 & 1026  \nEME:  E11-1027 & 1028 \nMAT:  E11-1035 & 1036 \n\n\n\n\n 
URL:https://www.fst.um.edu.mo/event/orientations-for-2020-2021-new-bachelor-postgraduate-students/
CATEGORIES:activities,cee_events,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20200728T103000
DTEND;TZID=Asia/Macau:20200728T233000
DTSTAMP:20260611T155650
CREATED:20200707T065623Z
LAST-MODIFIED:20251125T032009Z
UID:12174-1595932200-1595979000@www.fst.um.edu.mo
SUMMARY:2020/2021 CEE New PhD Student Briefing
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/cee_20200728_phd_briefing/
LOCATION:Online
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20200717T163000
DTEND;TZID=Asia/Macau:20200717T180000
DTSTAMP:20260611T155650
CREATED:20200707T053920Z
LAST-MODIFIED:20251125T032009Z
UID:12108-1595003400-1595008800@www.fst.um.edu.mo
SUMMARY:2020/2021 CEE New UG Student Briefing
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/cee_20200717_ug_briefing/
LOCATION:Online
CATEGORIES:cee_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20200110T110000
DTEND;TZID=Asia/Macau:20200110T120000
DTSTAMP:20260611T155650
CREATED:20200110T030012Z
LAST-MODIFIED:20220927T035722Z
UID:5727-1578654000-1578657600@www.fst.um.edu.mo
SUMMARY:High-dimensional vector autoregressive time series modeling via tensor decomposition
DESCRIPTION:Instructors/Speakers\nProf. Guodong LI\nAssociate Professor\nDepartment of Statistics & Actuarial Science\nUniversity of Hong Kong\nHong Kong \nAbstract\nThe classical vector autoregressive model is a fundamental tool for multivariate time series analysis. However\, it involves too many parameters when the number of time series and lag order are even moderately large. This paper proposes to rearrange the coefficient matrices of the model into a tensor form such that the parameter space can be restricted in three directions simultaneously via tensor decomposition. The proposed method substantially expands the capacity of vector autoregressive modeling for a large number of time series. In contrast\, the widely used reduced-rank regression method can restrict the parameter space in only one direction. Moreover\, to handle high-dimensional time series\, this paper considers imposing sparsity on factor matrices to improve the interpretability and estimation efficiency\, which leads to a sparsity-inducing estimator. For the low-dimensional case\, we derive asymptotic properties of the proposed least squares estimator and introduce an alternating least squares algorithm. For the high-dimensional case\, we establish non-asymptotic properties of the sparsity-inducing estimator and propose an ADMM-based algorithm for regularized estimation. Simulation experiments and a real data example demonstrate the advantages of the proposed approach over various existing methods. \nBiography\nProf. Li received his PhD at The University of Hong Kong and is an associate professor at The University of Hong Kong. Prof. Li research fields include high dimensional statistics\, econometrics\, machine learning. He has published nearly 50 papers on international journals such as Annals of Statistics\, JRSS-B\, Biometrika\, JASA and so on. \n 
URL:https://www.fst.um.edu.mo/event/high-dimensional-vector-autoregressive-time-series-modeling-via-tensor-decomposition/
LOCATION:E11-1012
CATEGORIES:event_list,math_events,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191219T110000
DTEND;TZID=Asia/Macau:20191219T120000
DTSTAMP:20260611T155650
CREATED:20191219T030022Z
LAST-MODIFIED:20220927T035723Z
UID:2014-1576753200-1576756800@www.fst.um.edu.mo
SUMMARY:Sift Sand for Gold: Towards Research Challenges in Big Video Data Computing
DESCRIPTION:Instructors/Speakers\nProf. Wenbo HE\nMcMaster University\nCanada \nAbstract\nNowadays\, billions of videos are captured\, hosted and shared in the cloud\, and the world has stepped into a multimedia big data era. As an active and interdisciplinary research field\, multimedia big data presents great challenges and opportunities for multimedia big data computing. A vast amount of research work has been done in image processing\, targeting different aspects of big data analytics\, such as the capture\, storage\, indexing\, mining\, and retrieval. However\, when shifting the attention from images to videos\, we are facing several challenges (e.g. it is more challenging to generate video features with temporal correlation; it is more challenging to get correctly labeled video samples for machine learning algorithms; etc.). In this talk\, I will mention several of our recent and on-going projects addressing these challenges\, and discuss potential future directions in video big data analytics. \nBiography\nDr. Wenbo He is currently an Associate Professor in the Department of Computing and Software at McMaster University. Before that she was an Assistant Professor in School of Computer Science at McGill University from 2011 to 2015\, an Assistant Professor in the EE department at the University of Nebraska-Lincoln from 2010 to 2011\, and an Assistant Professor in the CS department at the University of New Mexico from 2008 to 2010. She had 5-year industry experience (2000-2005) working in Cisco Systems\, Inc. in the US. She got the Bachelor and Master Degree on Control Theory in 1995 and 1998 respectively. She got her Ph.D. in 2008 from the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC). She received the Mavis Memorial Fund Scholarship Award from the College of Engineering of UIUC in 2006 for “excellent academic performance\, research accomplishments\, and demonstrated leadership in engineering education”\, and the C. W. Gear Outstanding Graduate Award in 2007 for “being one of the best graduate students from the UIUC Department of Computer Science”. She was also a recipient of the prestigious Vodafone Fellowship from 2005 to 2008 for 3 consecutive years\, and NSF TRUST Fellowship in 2007& 2009 respectively. Her papers won the Best Paper Award from IEEE Transactions on Industrial Informatics in 2008\, and the Best Paper Award from ACM WiSec 2011 (ACM Conference on Security and Privacy in Wireless and Mobile Networks). Her research focuses include big data systems\, pervasive & mobile computing\, and information privacy and security.
URL:https://www.fst.um.edu.mo/event/sift-sand-for-gold-towards-research-challenges-in-big-video-data-computing/
LOCATION:E11-1006
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191216T093000
DTEND;TZID=Asia/Macau:20191216T103000
DTSTAMP:20260611T155650
CREATED:20191216T080109Z
LAST-MODIFIED:20201203T094028Z
UID:6446-1576488600-1576492200@www.fst.um.edu.mo
SUMMARY:Decellularized matrix composites for bone tissue regeneration
DESCRIPTION:Instructors/Speakers\nProf. Huaqiong LISchool of Biomedical EngineeringWenzhou Medical UniversityWengzhouChina \nAbstract\nProf. Huaqiong LI is an Associate Professor at School of Biomedical Engineering of Wenzhou Medical University (WMU) and Principal Investigator at Wenzhou Institute\, University of Chinese Academy of Science (Wenzhou Institute of Biomaterials and Engineering\, WIBE). Before he joined WMU and WIBE in 2015\, he worked in Singapore for two years after completing his PhD study in Nanyang Technological University. His current research interests are development of biomaterials using advanced technologies to guide cell behavior and then applied to the field of tissue engineering and regenerative medicine. In particular\, he and his research team have been developing materials\, mainly derived from natural extracellular matrix with attenuated immunogenicity\, for application of bone and cartilage reconstructions. \nBiography\nProf. Huaqiong LI is an Associate Professor at School of Biomedical Engineering of Wenzhou Medical University (WMU) and Principal Investigator at Wenzhou Institute\, University of Chinese Academy of Science (Wenzhou Institute of Biomaterials and Engineering\, WIBE). Before he joined in WMU and WIBE in 2015\, he worked in Singapore for two years after completing his PhD study in Nanyang Technological University. His current research interests are development of biomaterials using advanced technologies to guide cell behavior and then applied to the field of tissue engineering and regenerative medicine. In particular\, he and his research team have been developing materials\, mainly derived from natural extracellular matrix with attenuated immunogenicity\, for application of bone and cartilage reconstructions. \n 
URL:https://www.fst.um.edu.mo/event/decellularized-matrix-composites-for-bone-tissue-regeneration/
LOCATION:E12-G003
CATEGORIES:pc_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191213T113000
DTEND;TZID=Asia/Macau:20191213T123000
DTSTAMP:20260611T155650
CREATED:20191213T033059Z
LAST-MODIFIED:20220927T035723Z
UID:5732-1576236600-1576240200@www.fst.um.edu.mo
SUMMARY:Deep Feature Encoding for Age-invariant Face Recognition
DESCRIPTION:Instructors/Speakers\nProf. Kin-Man LAM\nThe Hong Kong Polytechnic University \nAbstract\nFacial aging variation is a major problem for face recognition systems\, due to large intra-personal variations caused by age progression. A major challenge is to develop an efficient\, discriminative feature representation and matching framework\, which is robust to facial aging variations. In this talk\, we will present a robust deep-feature encoding-based discriminative model for age-invariant face recognition. Our method learns high-level deep features using a pretrained deep-CNN model. These features are then encoded by learning a codebook with S codewords or atoms\, which converts each of the features into a discriminant S-dimensional codeword for image representation. By incorporating the locality information in the whole learning process\, a closed-form solution is obtained for both the codebook-updating and encoding stages. Furthermore\, as the features of the same person at different ages should have certain correlations\, canonical correlation analysis is utilized to fuse the pair of training features from the same person\, but at two different ages\, to make the codebook discriminative in terms of age progression. In the testing stage\, the gallery and query image’s features are encoded using the learned codebook. Then\, linear mapping based on linear regression is employed for face matching. We will present the performance of the method on three publicly available challenging facial aging datasets\, FGNET\, MORPH Album 2\, and Large Age-Gap. \nBiography\nProf. Kin-Man Lam received his Associateship in Electronic Engineering with distinction from the Hong Kong Polytechnic University (formerly called Hong Kong Polytechnic) in 1986. He won the S.L. Poa Education Foundation Scholarship for overseas studies and was awarded an M.Sc. degree in communication engineering from the Department of Electrical Engineering\, Imperial College of Science\, Technology and Medicine\, England\, in 1987. In August 1993\, he undertook a Ph.D. degree program in the Department of Electrical Engineering at the University of Sydney\, Australia\, and won an Australia Postgraduate Award for his studies. He completed his Ph.D. studies in August 1996\, and was awarded the IBM Australia Research Student Project Prize. \nProf. Lam joined the Department of Electronic and Information Engineering\, The Hong Kong Polytechnic University as an Assistant Professor in October 1996. He became an Associate Professor in 1999\, and has been a Professor since 2010. Currently\, he is also an Associate Dean of the Faculty of Engineering. He was actively involved in professional activities. He has been a member of the organizing committee or program committee of many international conferences. In particular\, he was the Technical Chair of the 2004 International Symposium on Intelligent Multimedia\, Video and Speech Processing (ISIMP 2004)\, a Technical Co-Chair of the 2005 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2005) and 2010 Pacific-Rim Conference on Multimedia (PCM 2010)\, and a General Co-Chair of the 2012 IEEE International Conference on Signal Processing\, Communications\, & Computing (ICSPCC 2012)\, the APSIPA Annual and Summit 2015 (APSIPA ASC 2015)\, and the 2017 IEEE International Conference on Multimedia and Expo (ICME 2017)\, which were held in Hong Kong in August 2012\, December 2015\, and July 2017. Prof. Lam was the Chairman of the IEEE Hong Kong Chapter of Signal Processing between 2006 and 2008. He received an Honorable Mention of the Annual Pattern Recognition Society Award for an outstanding contribution to the Pattern Recognition Journal in 2004. \nProf. Lam was the Director-Student Services and the Director-Membership Services of the IEEE Signal Processing Society between 2012 and 2014\, and between 2015 and 2017\, respectively. He was an Associate Editor of IEEE Trans. on Image Processing between 2009 and 2014\, an Associate Editor of Digital Signal Processing between 2014 and 2018\, an Editor of HKIE Transactions between 2013 and 2018\, and an Area Editor of the IEEE Signal Processing Magazine between 2015 and 2017. Currently\, he is the VP-Publications of the Asia-Pacific Signal and Information Processing Association (APSIPA). Prof. Lam serves as an Associate Editor of APSIPA Trans. on Signal and Information Processing and EURASIP International Journal on Image and Video Processing. His current research interests include human face recognition\, image and video processing\, and computer vision. \n 
URL:https://www.fst.um.edu.mo/event/deep-feature-encoding-for-age-invariant-face-recognition/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191210T143000
DTEND;TZID=Asia/Macau:20191210T153000
DTSTAMP:20260611T155650
CREATED:20191210T081702Z
LAST-MODIFIED:20201203T094057Z
UID:6453-1575988200-1575991800@www.fst.um.edu.mo
SUMMARY:New Developments in Lithium Niobate Nanophotonics
DESCRIPTION:Instructors/Speakers\nDr. Maria-Pilar BERNAL\nResearch Director of FEMTO-ST (Franche-Comté Electronics Mechanics Thermal Science and Optics-Sciences and Technologies) Institute\nCNRS (National Scientific Research Center)\nFrance \nAbstract\nThe optics community has used since decades lithium niobate material for various application like optical modulation\, lasers\, acousto-optical devices etc. Due to its multi-physical nature (it possesses high electro-optic\, acousto-optical\, photorefractive\, pyroelectric\, and nonlinear coefficients)\, it is rather straightforward to imagine a lithium niobate chip in which thousands of optical functions could be incorporated. In this talk\, work that Dr. Bernal’s group at CNRS has been doing since the last 10 years in order to achieve this goal will be presented. Different active optical functions based on lithium niobate photonic crystals and plasmonic nanostructures combined with lithium niobate will be presented. The possibility of currently working with lithium niobate thin films on SiO2 has allowed us to radically improve the optical performances of these devices. Results of novel photonic nanostructures based on single crystal lithium niobate will be shown. \nBiography\nDr. Maria-Pilar Bernal received her Bachelor degree in physics at University of Zaragoza\, Spain in 1993. In the year of 1998\, she obtained her doctoral degree in physics through a joint study program between University of Zaragoza and IBM Research-Almaden in California USA. She then worked as a postdoctoral fellow in EPFL Switzerland on near-field and nano optics for about three years which began from September 1998. Since 2003\, she worked as a researcher in FEMTO-ST institute CNRS(法國國家科研中心). Currently she is the Directrice of FEMTO-ST institute in Besancon. Her research works include electro-optic exaltation and nonlinear effect enhancement in lithium niobate photonics. She also works on plasmonics such as utilizing annular aperture array structure for extraordinary optical transmission and other sensing applications. She had already been the responsible person for various projects such as ANR(法國科研署)\, DGA(法國國防部)\, ERC(歐盟研究中心) and DARPA etc. She had already been invited to give talks for ten more conferences\, published one book chapter and patented an USA patent on optical information storage system. She has been author or coauthors of over 100 papers. \n 
URL:https://www.fst.um.edu.mo/event/new-developments-in-lithium-niobate-nanophotonics/
LOCATION:E12-G003
CATEGORIES:pc_events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191201
DTEND;VALUE=DATE:20191205
DTSTAMP:20260611T155650
CREATED:20191201T071200Z
LAST-MODIFIED:20220927T035723Z
UID:5719-1575158400-1575503999@www.fst.um.edu.mo
SUMMARY:11th IEEE PES Asia-Pacific Power and Energy Engineering Conference (IEEE APPEEC 2019)
DESCRIPTION:
URL:https://www.ieee-appeec-2019.org/#new_tab
CATEGORIES:conferences,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191129T110000
DTEND;TZID=Asia/Macau:20191129T120000
DTSTAMP:20260611T155650
CREATED:20191129T083001Z
LAST-MODIFIED:20191129T083001Z
UID:6459-1575025200-1575028800@www.fst.um.edu.mo
SUMMARY:Novel Mg-based Amorphous Alloys and Nanocomposites Induced from Amorphous Alloys for Hydrogen Storage
DESCRIPTION:Instructors/Speakers\nProf. Huai-Jun LIN\nAssociate Professor of Institute of Advanced Wear & Corrosion Resistance and Functional Materials\nJinan University\nChina \nAbstract\nMgH2 has been widely considered as a promising candidate for hydrogen storage because it stores 7.6 wt% of hydrogen\, however thermodynamics and kinetics for hydrogen absorption and desorption are not well satisfied. Abundant efforts have been devoted to prepare nanostructured Mg-based materials with enhanced hydrogen storage. Although kinetics improvements could be well achieved\, thermodynamics issues are remained in Mg-based hydrogen storage materials. \nWe attempted to prepare novel Mg-based amorphous alloys for hydrogen storage applications. The results could be summarized as follows: (1) A hydrogen-induced glass-to-glass transition in Mg-Ce-Ni amorphous alloys with a storage capacity of 5 wt%-H is reported. The hydrogen storage capacity of amorphous hydrides is obviously higher than that of their crystalline counterparts owing to the free volume and disordered atomic structure associated with glasses. (2) The dehydrogenation temperature of the amorphous hydrides can be efficiently tuned as it shows a close relationship with the enthalpy of mixing between the alloying element and hydrogen. (3) Further study on the five-component Mg60Ce10Ni20Cu5X5 (X = Co\, Zn) amorphous alloys shows that addition of Co greatly improves the hydrogenation kinetics and capacity\, indicating that geometry issue is not a key factor on influencing the hydrogenation properties of the studied Mg-based amorphous alloys. (4) Similarly\, minor alloying addition of Ag improves the hydrogen storage capacity and reduces the dehydrogenation temperature of the amorphous Mg65Cu25Y10 alloy. (5)\, High-pressure torsion (HPT) is applied to reduce the hydrogenation temperature and improve the hydrogenation kinetics of Mg-based amorphous alloy\, which is due to the introduction of nanoglasses regions and interfaces among them providing abundant pathways for fast hydrogenation. \nMoreover\, hydrogenation treatment of the Mg-based amorphous alloys at temperature above the crystallization temperatures will lead to the formation of hydrides nanocomposites consisting of MgH2\, Mg2NiH4 and so on. Hydrogen storage properties of the nanocomposites could be well tuned by designing the chemical compositions and phase structures\, by controlling the hydrogen activation treatments\, and by designing subsequent oxidation treatment upon the nano-hydrides composites etc. \nBiography\nProf. Huai-Jun Lin serves as associate professor in Jinan University\, Guangzhou\, China from 2017. During his PhD study\, he obtained a CSC scholar and studied as a visiting student in Kyushu University\, Japan from 2013 to 2014. After completing his Ph.D. degree in Materials Science and Engineering from South China University of Technology\, China in 2014\, he worked in Kyushu University as a Postdoctoral fellow from 2015 to 2016. His research interests include hydrogen storage materials\, functional applications of amorphous alloys and battery etc. \n 
URL:https://www.fst.um.edu.mo/event/novel-mg-based-amorphous-alloys-and-nanocomposites-induced-from-amorphous-alloys-for-hydrogen-storage/
LOCATION:E12-G003
CATEGORIES:pc_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191129T110000
DTEND;TZID=Asia/Macau:20191129T120000
DTSTAMP:20260611T155650
CREATED:20191129T082019Z
LAST-MODIFIED:20191129T082019Z
UID:6455-1575025200-1575028800@www.fst.um.edu.mo
SUMMARY:Synthesis of Mg based Metal Hydrides for Hydrogen Storage
DESCRIPTION:Instructors/Speakers\nDr. Kohta ASANO\nSenior Researcher of Senior Researcher of Research Institute of Energy Frontier\nNational Institute of Advanced Industrial Science and Technology (AIST)\nJapan \nAbstract\nMetal hydrides have a number of properties that may be utilized to promote the use of hydrogen as an energy carrier. Those with a high hydrogen permeability can be applied as membranes for hydrogen separation\, while the optical changes occurring in metal thin films upon hydrogenation can be used for hydrogen sensing. Even better known is the fact that the high volumetric density of hydrogen makes metal hydrides an attractive option to store energy. The applicability of metal hydrides for storage applications depends on its affinity to hydrogen which determines the equilibrium pressure for (de-)hydrogenation. One of the most attractive hydride forming metals is Mg because of its light weight and low material costs. However\, the Mg-H system has thermodynamic and kinetic limitations associated with hydrogen absorption and desorption processes: the high stability of the MgH2 phase and the slow diffusion of hydrogen in Mg and MgH2 at moderate temperatures and pressures. \nA possible way to destabilize MgH2 and enhance the reaction kinetics is to reduce the size of Mg. It has been calculated that MgH2 is destabilized by decreasing the size on a nanometer scale. We have successfully synthesized nanometer-sized MgH2 clusters\, which form in a self-organized way by the hydrogenation of non-equilibrium Mg-TM (TM: Ti\, Mn\, Cr\, Fe etc.) alloys. Here MgH2 is destabilized by the interface energy between the two metal hydrides. Our results suggest that we can tune the thermodynamics and kinetics of hydrogen absorption and desorption in Mg-H. This concept paves the way for the development of lightweight and cheap Mg-based functional materials in the metal-hydrogen system. \nBiography\nDr. Kohta Asano\, (Ph.D. Eng.)\, now is a Senior Researcher\, Hydrogen Industrial Use and Storage Group\, Research Institute of Energy Frontier\, National Institute of Advanced Industrial Science and Technology (AIST) in Tsukuba. He got his B. Eng.\, M. Eng. and Ph.D. Eng. in Materials Science at Tohoku University in Sendai. He has studied metal hydrides for hydrogen storage applications at AIST from 2005. His main research topics are diffusion of hydrogen studied by solid state NMR and synthesis of novel Mg based alloys and hydrides. He has studied them also at Delft University of Technology in the Netherlands from 2013 to 2014. \n 
URL:https://www.fst.um.edu.mo/event/synthesis-of-mg-based-metal-hydrides-for-hydrogen-storage/
LOCATION:E12-G003
CATEGORIES:pc_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191128T160000
DTEND;TZID=Asia/Macau:20191128T170000
DTSTAMP:20260611T155650
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191125T113000
DTEND;TZID=Asia/Macau:20191125T123000
DTSTAMP:20260611T155650
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:20191108T110000
DTEND;TZID=Asia/Macau:20191108T120000
DTSTAMP:20260611T155650
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:20191108T103000
DTEND;TZID=Asia/Macau:20191108T113000
DTSTAMP:20260611T155650
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:20191106T103000
DTEND;TZID=Asia/Macau:20191106T113000
DTSTAMP:20260611T155650
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:20191101T153000
DTEND;TZID=Asia/Macau:20191101T163000
DTSTAMP:20260611T155650
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:20191029T150000
DTEND;TZID=Asia/Macau:20191029T160000
DTSTAMP:20260611T155650
CREATED:20191029T033654Z
LAST-MODIFIED:20191029T033654Z
UID:6496-1572361200-1572364800@www.fst.um.edu.mo
SUMMARY:Couplings and Wasserstein-type distances for SDEs with Lévy noises
DESCRIPTION:Instructors/Speakers\nProf. Jian WANG\nProfessor\nCollege of Mathematics and Informatics\nFujian Normal University\nChina \nAbstract\nIn this talk we review some recent works on couplings of SDEs with Levy noises. As applications\, we consider the corresponding ergodic properties in term of the total variation and the $W_1$-distance. \nBiography\nProf. Jian WANG received his PhD from Beijing Normal University\, and is now a full professor at Fujian Normal University. His main research fields are stochastic process and stochastic analysis. Prof. Wang has published more than 80 papers in top journals such as Journal of European Mathematical Society\, Memoir of American Mathematical Society\, Communication in Mathematical Physics\, Journal of Functional Analysis and so on. \n 
URL:https://www.fst.um.edu.mo/event/couplings-and-wasserstein-type-distances-for-sdes-with-levy-noises/
LOCATION:E11-1009
CATEGORIES:math_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191029T083000
DTEND;TZID=Asia/Macau:20191029T093000
DTSTAMP:20260611T155650
CREATED:20191029T033840Z
LAST-MODIFIED:20191029T033840Z
UID:6498-1572337800-1572341400@www.fst.um.edu.mo
SUMMARY:Will artificial intelligence save the Mathematics?
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/will-artificial-intelligence-save-the-mathematics/
LOCATION:E22-G013
CATEGORIES:math_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191028T110000
DTEND;TZID=Asia/Macau:20191028T120000
DTSTAMP:20260611T155650
CREATED:20191028T034021Z
LAST-MODIFIED:20191028T034021Z
UID:6501-1572260400-1572264000@www.fst.um.edu.mo
SUMMARY:Periodic homogenization of non-symmetric Levy-type processes
DESCRIPTION:Instructors/Speakers\nProf. Xin CHEN\nSpecial Research Fellow\nSchool of Mathematical Sciences\nShanghai Jiao Tong University\nChina \nAbstract\nIn this paper\, we consider the homogenization problem for a non-symmetric L´evy-type operator in a medium with a periodic structure. Under a proper scaling of this operator\, we establish the limit behavior of the rescaled operator as the scaling parameter tends to zero. This talk is based on a joint work with Zhen-qing Chen\, Takashi Kumagai and Jian Wang. \nBiography\nProf. Chen received his PhD at Warwick University\, and is now a special research fellow (equal to associate professor) at Shanghai Jiao Tong University. His main research fields are stochastic process and stochastic analysis. Prof. Chen has published nearly 20 papers in top journals such as Probability Theory and Related Fields\, Communication in Mathematical Physics\, Journal of Functional Analysis and so on. \n 
URL:https://www.fst.um.edu.mo/event/periodic-homogenization-of-non-symmetric-levy-type-processes/
LOCATION:E11-1006
CATEGORIES:math_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20191025T120000
DTEND;TZID=Asia/Macau:20191025T130000
DTSTAMP:20260611T155650
CREATED:20191025T034226Z
LAST-MODIFIED:20191025T034226Z
UID:6503-1572004800-1572008400@www.fst.um.edu.mo
SUMMARY:Recurrence coefficients for discrete orthogonal polynomials with hypergeometric weight and discrete Painlevé equations
DESCRIPTION:Instructors/Speakers\nProf. Anton DZHAMAY\nProfessor\nSchool of Mathematical Sciences\nCollege of Natural and Health Sciences\nUniversity of Northern Colorado\nU.S.A. \nAbstract\nOver the last decade it became clear that the role of discrete Painlevé equations in applications has been steadily growing. Thus\, the question of recognizing a certain non-autonomous recurrence as a discrete Painlevé equation and understanding its position in Sakai’s classification scheme\, recognizing whether it is equivalent to some known (model) example\, and especially finding an explicit change of coordinates transforming it to such example\, becomes one of the central ones. Fortunately\, Sakai’s geometric theory provides an almost algorithmic procedure of answering this question. In this work we illustrate this procedure by studying an example coming from the theory of discrete orthogonal polynomials. There are many connections between orthogonal polynomials and Painlevé equations\, both differential and discrete. In particular\, often the coefficients of three-term recurrence relations for orthogonal polynomials can be expressed in terms of solutions of some discrete Painlevé equation. In this work we study orthogonal polynomials with general hypergeometric weight and show that their recurrence coefficients satisfy\, after some change of variables\, the standard discrete Painlevé-V equation. We also provide an explicit change of variables transforming this equation to the standard form. This is joint work with Galina Filipuk (University of Warsaw\, Poland) and Alexander Stokes (University College\, London\, UK) \nBiography\nProf. Anton Dzhamay got his undergraduate degree from Moscow Institute of Electronics and Mathematics and his PhD degree from Columbia University under the direction of Professor Igor Krichever. After a postdoc position at the University of Michigan in Ann Arbor\, where he worked with Professor Igor Dolgachev\, Anton moved to the University of Northern Colorado in 2005\, where he is currently a Full Professor. Anton is interested in applications of algebro-geometric techniques to the study of various problems related to the theory of integrable systems and soliton equations\, such as theory of Frobenius manifolds and WDVV equations\, Whitham hierarchies\, isospectral and isomonodromic transformations\, and so on. Over the last 10 years his research has been on the geometric theory of discrete Painlevé equations (Sakai’s Theory) and its various applications. \n 
URL:https://www.fst.um.edu.mo/event/recurrence-coefficients-for-discrete-orthogonal-polynomials-with-hypergeometric-weight-and-discrete-painleve-equations/
LOCATION:E11-1009
CATEGORIES:math_events
END:VEVENT
END:VCALENDAR