BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Faculty of Science and Technology | University of Macau - ECPv6.14.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
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:20210621T093000
DTEND;TZID=Asia/Macau:20210621T103000
DTSTAMP:20260611T060322
CREATED:20210621T033555Z
LAST-MODIFIED:20220927T034540Z
UID:17418-1624267800-1624271400@www.fst.um.edu.mo
SUMMARY:The ParaDiag Algorithm
DESCRIPTION:Instructors/Speakers\nProf. Shu-Lin WU\nProfessor\nSchool of Mathematics and Statistics\nNortheast Normal University\nChangchun\, Jilin\, China \nAbstract\nThe mainstream parallel-in-time (PinT) algorithms\, such as parareal and MGRiT\, cannot efficiently handle the wave propagation problems\, due to the poor convergence rate (or even divergence). New PinT algorithms are proposed in recent years and have shown promising advantages. These new PinT algorithms are called ParaDiag\, which was permitted in 2020 by the PinT scientific committee to show and popularize on the homepage of this filed (http://parallel-in-time.org/codes/paradiag.html). In this talk we will discuss some variants and introduce some basic theoretical results. \nBiography\nProf. Shulin WU obtained his Ph.D. degree in Huazhong University of Science and Technology in 2010. From 2010 to 2016\, he did post-doctoral research at University of Electronic Science and Technology of China\, University Of Geneva and The Hong Kong Polytechnic University. His research interests are Parallel-in-Time algorithms\, waveform relaxation\, numerical analysis of DLCP/DNCP problems and numerical wave propagation. Prof. Wu Shulin works as a Professor at Northeast Normal University now\, published more than 30 papers on many international famous SCI journals of computing\, such as J. Comp. Phys.\, J. Sci. Comp.\, SIAM J. Control and Optimization. \n 
URL:https://www.fst.um.edu.mo/event/the-paradiag-algorithm/
LOCATION:E11-1006
CATEGORIES:event_list,math_events,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210618T090000
DTEND;TZID=Asia/Macau:20210618T140000
DTSTAMP:20260611T060322
CREATED:20210617T051544Z
LAST-MODIFIED:20251125T032009Z
UID:17405-1624006800-1624024800@www.fst.um.edu.mo
SUMMARY:Celebrating the 40th Anniversary of the University of Macau: FST-Conference : 第二屆海洋科技創新與可持續發展戰略研討會
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/celebrating-the-40th-anniversary-of-the-university-of-macau-fst-conference-%e7%ac%ac%e4%ba%8c%e5%b1%86%e6%b5%b7%e6%b4%8b%e7%a7%91%e6%8a%80%e5%89%b5%e6%96%b0%e8%88%87%e5%8f%af%e6%8c%81%e7%ba%8c/
LOCATION:N21-G013 Lecture Hall
CATEGORIES:cee_events,ost_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210610T160000
DTEND;TZID=Asia/Macau:20210610T180000
DTSTAMP:20260611T060322
CREATED:20210609T035257Z
LAST-MODIFIED:20251125T032009Z
UID:17267-1623340800-1623348000@www.fst.um.edu.mo
SUMMARY:Celebrating the 40th Anniversary of the University of Macau: University Lecture Series: On ocean hydrodynamics\, eutrophication\, hypoxia\, trend and mitigation in the Greater Bay Area澳門大學40週年校慶 —— 大學講壇: 粵港澳大灣區海洋水動力、富營養化、缺氧及其變化趨勢和對策
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/celebrating-the-40th-anniversary-of-the-university-of-macau-university-lecture-series-on-ocean-hydrodynamics-eutrophication-hypoxia-trend-and-mitigation-in-the-greater-bay-area/
LOCATION:Mr. and Mrs. Lau Chor Tak Lecture Theatre\, Anthony Lau Building (E4-G078)\, University of Macau
CATEGORIES:activities,cee_events,event_list,ost_events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210529T083000
DTEND;TZID=Asia/Macau:20210529T180000
DTSTAMP:20260611T060322
CREATED:20210504T080824Z
LAST-MODIFIED:20220927T034541Z
UID:16845-1622277000-1622311200@www.fst.um.edu.mo
SUMMARY:The 2020 ICPC Asia Macau Regional Contest 2020年國際大學生程序設計競賽 (亞洲區域賽澳門站)
DESCRIPTION: \n\n\n\n\n2020年國際大學生程序設計競賽(亞洲區域賽澳門站)馬上展開! 本次比賽由澳門大學及香港城市大學負責主辦，並將於5月29日上午8:30在N1 聚賢樓多功能廳進行，歡迎有興趣人士於5月13日前到以下網站報名 \nThe 2020 ICPC Asia Macau Regional Contest is going to start soon! The contest is organised by UM and City University of Hong Kong which is on 29 May at 8:30am in N1 Multi-Function Room. You are welcome to register before 13 May via the link below: \nhttps://www.cis.um.edu.mo/icpc2021/ \n國際大學編程競賽(International Collegiate Programming Contest\, ICPC)是針對大學生的算法編程競賽。由多人組成的團隊代表大學致力解決最現實的編程問題。促進協作創造力、創新和在壓力下的表現能力。通過培訓、比賽和團隊互相挑戰以提高技術。這是目前世界上最大型及最遠負盛名的編程競賽。 \nThe International Collegiate Programming Contest (ICPC) is an algorithmic programming contest for college students. Teams of three\, representing their university\, work to solve the most real-world problems\, fostering collaboration\, creativity\, innovation\, and the ability to perform under pressure. Through training and competition\, teams challenge each other to raise the bar on the possible. It is the largest and most prestigious programming contest in the world. \n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n  \n 
URL:https://www.fst.um.edu.mo/event/the-2020-icpc-asia-macau-regional-contest/
LOCATION:N1 Multi-Function Room\, G014
CATEGORIES:activities,contest,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210526
DTEND;VALUE=DATE:20210621
DTSTAMP:20260611T060322
CREATED:20201125T044758Z
LAST-MODIFIED:20220927T034541Z
UID:13700-1621987200-1624233599@www.fst.um.edu.mo
SUMMARY:Paper Submission for 2021 7th International Conference on  Innovation and Industrial Logistics (Deadline: 20 June 2021)
DESCRIPTION: \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n  \n 
URL:https://www.fst.um.edu.mo/event/paper-submission-for-2021-7th-international-conference-on-innovation-and-industrial-logistics/
LOCATION:Online
CATEGORIES:ece_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210521T160000
DTEND;TZID=Asia/Macau:20210521T180000
DTSTAMP:20260611T060322
CREATED:20210520T034612Z
LAST-MODIFIED:20220927T034541Z
UID:16982-1621612800-1621620000@www.fst.um.edu.mo
SUMMARY:SKL-IOTSC Talk Series: Tunnel Engineering – From Physics to Big Data and Multi-scale Modelling of Flood Hazards 智慧城市物聯網系列講座: 隧道工程 － 從物理現象到大數據及多尺度洪澇災害數值模擬
DESCRIPTION:兩位科技學院教授獲邀在智慧城市物聯網系列講座上分享相關領域的專業知識\, 周萬歡副教授將分享隧道工程 － 從物理現象到大數據 及高亮助理教授將分享多尺度洪澇災害數值模擬\n日期Date: 2021.05.21 (Friday)\n時間Time: 16:00 – 18:00\n地點Venue: N21 5樓展覽廳 N21-5/F EXHIBITION HALL\n語言Language: 英語English \n\n人物簡介: 周萬歡教授於2002年及2005年獲浙江大學本科及碩士學位並於2008年獲香港理工大學博士學位。 曾於香港理工大學土木及結構工程系擔任講師。 2009年加入澳門大學，現擔任澳大土木與環境工程系主任、澳大區域海洋中心代主任及智慧城市物聯網國家重點實驗室成員之一。主要研究領域包括：岩土材料的本構模、岩土工程中的數值建模、地面改良（土釘，樁承路堤，土工合成材料等）、岩土工程中的概率分析等。Prof. Zhou Wanhuan received a bachelor’s degree and a master’s degree from Zhejiang University in 2002 and 2005\, and a doctorate degree from the Hong Kong Polytechnic University in 2008. She worked as a Lecturer in the Department of Civil and Structural Engineering of the Hong Kong Polytechnic University. She joined the University of Macau in 2009 and is currently the Department Head of the Department of Civil and Environmental Engineering of FST\, the intern director of the Centre for Regional Oceans\, she is also one of the member of the State Key Laboratory of Smart City Internet of Things. Her research areas are Constitutive Modeling of Geomaterials\, Numerical Modeling in Geotechnical Engineering and Ground Improvement (Soil nails\, pile-supported embankment\, geosynthetics\, etc) and Probabilistic Analysis in Geotechnical Engineering\, etc. \n\n\n\n高亮教授在2009及2011年獲清華大學本科及碩士學位，曾任職浙江省水利河口研究院\, 2016年在香港科技大學土木工程博士畢業，曾任香港科技大學博士後研究員及美國俄克拉荷馬大學國家氣象中心博士後研究員。現擔任澳大科技學院土木及環境工程系的助理教授，同時也是智慧城市物聯網國家重點實驗室及海洋區域研究中心的研究成員之一。Prof. Gao Liang received her bachelor and master degree from Tsinghua University in 2009 and 2011. In 2016\, she graduated from Hong Kong University of Science and Technology with a Ph.D. degree in civil engineering. After that\, she worked as a post-doctoral researcher at Hong Kong University of Science and Technology and Oklahoma\, USA Postdoctoral researcher at the University’s National Meteorological Center. She is currently an Assistant professor in the Department of Civil and Environmental Engineering of the Faculty of Science and Technology and also one of the research members of the State Key Laboratory of Smart City Internet of Things and the Centre for Regional Oceans. \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 
URL:https://www.fst.um.edu.mo/event/skl-iotsc-talk-series-tunnel-engineering-from-physics-to-big-data-and-multi-scale-modelling-of-flood-hazards/
LOCATION:N21- 5/F Exhibition Hall
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210517T090000
DTEND;TZID=Asia/Macau:20210608T160000
DTSTAMP:20260611T060322
CREATED:20210525T020048Z
LAST-MODIFIED:20220927T034542Z
UID:17017-1621242000-1623168000@www.fst.um.edu.mo
SUMMARY:2021 UM FST Summer Study Tour for High School Students from Mainland China 2021 澳大科技學院『內地中學生暑期研習營』現正接受報名
DESCRIPTION:科技學院為促進本地和國內科研人才更多元化之交流，現邀請國內中學生參加暑期研習營。活動將由學院相關教授帶領，內容包括教授專題講座、專題研習活動、澳門歷史文化體驗等。 \n中學生暑期研習營(2021/7/1 -2021/7/14) 更新為：2021年7月15 日至28日:  \n目的: 學生透過此計劃在澳大校內參與由不同學術單位舉辦的主題課程學習及活動，加深對澳大的認識，同時更瞭解澳門的歷史及發展 \n報名截止日期為2021年6月8日下午4時 \n \n  \n  \n 
URL:https://www.fst.um.edu.mo/event/2021-um-fst-summer-study-tour-for-high-school-students-from-mainland-china/
LOCATION:University of Macau
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210517T090000
DTEND;TZID=Asia/Macau:20210528T180000
DTSTAMP:20260611T060322
CREATED:20210518T042056Z
LAST-MODIFIED:20220927T034542Z
UID:16971-1621242000-1622224800@www.fst.um.edu.mo
SUMMARY:Admission to Bachelor’s Degree Programmes 2021/2022 by Direct Admission for Non-Gaokao Mainland China potential secondary school graduates 2021/2022學年學士學位課程招生報名: 非高考內地應屆高中畢業生直接入學
DESCRIPTION:2021/2022學年學士學位課程招生報名：非高考內地應屆高中畢業生直接入學 \n主辦單位: 澳門大學註冊處 \n日期: 2021年5月17-28日 \n辦公時間: 星期一至四：09:00-13:00\, 14:00-17:45；星期五：09:00-13:00\, 14:00-17:30；週六、日及公眾假期休息。 \n網上報名：https://reg.um.edu.mo/admissions/macao-students/direct-admission/rules/?lang=zh-hant \n報名期間請登入網頁:  https://reg.um.edu.mo/admissions/macao-students/direct-admission/rules/?lang=zh-hant 填寫網上申請表，下載及查閱有關入學規條。 \n對象: 持內地居民身分證之申請人必須為應屆高中畢業生及現正就讀內地或海外學校國際課程資格或持公開考試成績。 \n查詢: https://reg.um.edu.mo/admissions/macao-students/enquiry/ \n聯絡人 \n澳門大學註冊處 \n電話: (853)8822 4007 \n 
URL:https://www.fst.um.edu.mo/event/admission-to-bachelors-degree-programmes-2021-2022-by-direct-admission-for-non-gaokao-mainland-china-potential-secondary-school-graduates/
LOCATION:University of Macau
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210430T160000
DTEND;TZID=Asia/Macau:20210430T180000
DTSTAMP:20260611T060322
CREATED:20210429T065732Z
LAST-MODIFIED:20220927T034543Z
UID:16819-1619798400-1619805600@www.fst.um.edu.mo
SUMMARY:SKL-IOTSC Talk Series: Social Media Mining and Representation Learning from High-Dimensional\, Dynamic and Complex Data 智慧城市物聯網系列講座: 社交媒體挖掘及複雜數據表示學習
DESCRIPTION:兩位科技學院教授獲邀在智慧城市物聯網系列講座上分享社交媒體及數據表示學習的知識\, 包括鞏志國教授(社交媒體挖掘) 及楊丁奇副教授 (複雜數據表示學習)\n\n\n日期Date: 2021.04.30 (Friday)\n時間Time: 16:00 – 18:00\n地點Venue: N21 5樓展覽廳 N21-5/F EXHIBITION HALL\n語言Language: 英語English\n\n\nRemark: maximum capacity: 50 pax; first come first serve\n\n \n人物簡介:\n鞏志國教授是電腦及資訊科學系的學系主任，1998年於中國科學院大學畢業，1999年加入澳大並擔任助理教授，現己是正教授的鞏志國教授研究領域包括機器學習\, 數據挖掘\, 數據庫\, 信息檢索等。\nProf. Gong Zhiguo is the Department head of the department of Computer and Information Science. He graduated from Chinese Academy of Sciences in 1998 and joined UM in 1999 as an Assistant Professor. Prof. Gong Zhiguo is now a full professor and his research interest are  machine learning\, data mining\, databases and Information retrieval.\n \n\n楊丁奇教授2015年於 Telecom SudParis／Pierre and Marie Curie University (Paris 6) 取得計算機科學博 士 學 位。他 的 研 究 領 域 是 設 計 新 穎 的 數 據 挖 掘 和 機 器 學 習 技 術，並 為 現 實 世 界 的 智 能 城 市 應 用程 序 構 建 實 用 系 統。\nProf. Yang Dingqi graduated from the Telecom SudParis／Pierre and Marie Curie University (Paris 6)\, France in 2015 wtih a PhD degree in Computer Science. His research interests are design novel data mining and machine learning techniques for urban big data analytics and build up practical systems for real-world smart city applications.
URL:https://www.fst.um.edu.mo/event/skl-iotsc-talk-series-social-media-mining-and-representation-learning-from-high-dimensional-dynamic-and-complex-data/
LOCATION:N21- 5/F Exhibition Hall
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210416T161500
DTEND;TZID=Asia/Macau:20210416T171500
DTSTAMP:20260611T060322
CREATED:20210413T101357Z
LAST-MODIFIED:20220927T034543Z
UID:16638-1618589700-1618593300@www.fst.um.edu.mo
SUMMARY:SKL-IOTSC Talk Series: Computational Social Choice: Algorithms for Fair Allocation Problems智慧城市物聯網系列講座: 計算社會選擇理論: 多智能體均分問題
DESCRIPTION:是次講座在4月16日舉行，並由電腦及資訊科學系吳曉偉教授主講\nSKL-IoTSC Talk series: Computational Social Choice: Algorithms for Fair Allocation Problems\n智慧城市物聯網系列講座: 計算社會選擇理論: 多智能體均分問題\n· 日期 Date : 2021.04.16 (Friday)\n· 時間 Time : 16:15 – 17:15\n· 語言 Language : 英語 English\n· 地點 Venue : N21 5樓展覽廳N21-5/F EXHIBITION HALL\nRemark: maximum capacity: 50 pax; first come first serve\n \n\n\n吳曉偉教授於2020年3月加入澳大，成為科技學院電腦及資訊科學系助理教授及智慧城市物聯網國家重點實驗室成員。吳曉偉教授的論文《全面線上配對》獲發表在最新一期的ACM期刊上 (Journal of ACM)。ACM期刊被公認是理論計算機科學領域最頂尖的期刊，此期刊只登載那些對計算機科學有深遠影響的論文，此期刊過去十年總收錄文章不足400篇，其中僅有15篇來自中國（包括港澳台）地區。吳教授的論文也是過去十年澳門地區發表於該期刊的第一篇文章\n \n\n\nProf. Xiaowei Wu joined UM in 2020. He is an assistant professor in the Department of Computer and Information Science\, and the research member of the State Key Laboratory of Smart City Internet of Things. Prof. Wu’s article “Fully online matching” was published in the latest issue of the Journal of ACM (JACM)\, which is considered a top journal in the field of theoretical computer science that only publishes papers with a profound impact on the field. In the past decade\, Journal of ACM has published less than 400 articles\, of which only 15 come from China (including Hong Kong\, Macao\, and Taiwan). It is also the first paper from Macao that has been published in this journal in the past decade\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n  \n 
URL:https://www.fst.um.edu.mo/event/skl-iotsc-talk-series-computational-social-choice-algorithms-for-fair-allocation-problems/
LOCATION:N21- 5/F Exhibition Hall
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20210408T140000
DTEND;TZID=Asia/Macau:20210409T150000
DTSTAMP:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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:20260611T060322
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
END:VCALENDAR