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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Shanghai
BEGIN:STANDARD
DTSTART:19910915T010000
TZOFFSETFROM:+0900
TZOFFSETTO:+0800
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP:20261023T161233Z
UID:2A89E770-29BC-4036-92AC-C24D7979F665
DTSTART;TZID=Asia/Shanghai:20261104T200000
DTEND;TZID=Asia/Shanghai:20261104T220000
DESCRIPTION:Speaker: Prof. Phone Lin\, IEEE Fellow，National Taiwan Univer
 sity\n\nTime: November 4\, 2026\, 20:00 (Beijing time)\n\nZoom: https://un
 sw.zoom.us/j/84840084069\n\nAbstract: Anomaly detection and prediction typ
 ically require extensive\ndomain knowledge to develop tools capable of aut
 omatically identifying or\nforecasting anomalous events or behaviors in Io
 T systems. These\nsystems-particularly those within Public Transportation 
 Networks-often\nconsist of devices with diverse capabilities\, functions\,
  and operational\nlifespans\, making the detection of rare anomalies espec
 ially challenging.\nMoreover\, establishing domain expertise and collectin
 g a sufficient number\nof data points for anomaly detection is frequently 
 timeconsuming and costly.\n\nBio: Phone Lin (Fellow\, IEEE) received the B
 .S. and Ph.D.\ndegrees in computer science and information engineering fro
 m National Chiao\nTung University\, Hsinchu\, Taiwan\, in 1996 and 2001\, 
 respectively. He is a\nProfessor with National Taiwan University\, Taipei\
 , Taiwan\, holding a\nprofessorship within the Department of Computer Scie
 nce and Information\nEngineering\, Graduate Institute of Biomedical Electr
 onics and\nBioinformatics\, and Internet of Things Research Center\, Colle
 ge of EECS\, and\nGraduate Institute of Medical Device and Imaging of Coll
 ege of Medicine. Dr.\nLin was a recipient of many prestigious research awa
 rds\, such as the\nOutstanding Research Award\, Ministry of Science and Te
 chnology\, Taiwan\, in\n2016\, and the Best Young Researcher of IEEE ComSo
 c Asia-Pacific Young\nResearcher Award in 2007. He was the Chair of IEEE V
 ehicular Technology\nSociety Taipei Chapter from 2014 to 2015. He serves o
 n the editorial boards\nof several journals\, such as IEEE TRANSACTIONS ON
  VEHICULAR TECHNOLOGY.\n\nVirtual: https://events.vtools.ieee.org/m/588476
LOCATION:Virtual: https://events.vtools.ieee.org/m/588476
ORGANIZER:socci@ieee.org
SEQUENCE:7
SUMMARY:Data-Driven Anomaly Detection and Prediction in Public Transportati
 on Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/588476
X-ALT-DESC:Description: <br /><div>Speaker: Prof. Phone Lin\, IEEE Fellow
 ，National Taiwan University</div>\n<div>&nbsp\;</div>\n<div>Time: Novemb
 er 4\, 2026\, 20:00 (Beijing time)</div>\n<div>&nbsp\;</div>\n<div>Zoom: <
 a href="https://unsw.zoom.us/j/84840084069" target="_blank" rel="noopener"
  data-saferedirecturl="https://www.google.com/url?q=https://unsw.zoom.us/j
 /84840084069&amp\;source=gmail&amp\;ust=1792811559622000&amp\;usg=AOvVaw2h
 CiKhzdX01oE41mVdHy7V">https://unsw.zoom.us/j/<wbr>84840084069</a></div>\n<
 div>&nbsp\;</div>\n<div>Abstract: Anomaly detection and prediction typical
 ly require extensive</div>\n<div>domain knowledge to develop tools capable
  of automatically identifying or</div>\n<div>forecasting anomalous events 
 or behaviors in IoT systems. These</div>\n<div>systems-particularly those 
 within Public Transportation Networks-often</div>\n<div>consist of devices
  with diverse capabilities\, functions\, and operational</div>\n<div>lifes
 pans\, making the detection of rare anomalies especially challenging.</div
 >\n<div>Moreover\, establishing domain expertise and collecting a sufficie
 nt number</div>\n<div>of data points for anomaly detection is frequently t
 imeconsuming and costly.</div>\n<div>&nbsp\;</div>\n<div>Bio: Phone Lin (F
 ellow\, IEEE) received the B.S. and Ph.D.</div>\n<div>degrees in computer 
 science and information engineering from National Chiao</div>\n<div>Tung U
 niversity\, Hsinchu\, Taiwan\, in 1996 and 2001\, respectively. He is a</d
 iv>\n<div>Professor with National Taiwan University\, Taipei\, Taiwan\, ho
 lding a</div>\n<div>professorship within the Department of Computer Scienc
 e and Information</div>\n<div>Engineering\, Graduate Institute of Biomedic
 al Electronics and</div>\n<div>Bioinformatics\, and Internet of Things Res
 earch Center\, College of EECS\, and</div>\n<div>Graduate Institute of Med
 ical Device and Imaging of College of Medicine. Dr.</div>\n<div>Lin was a 
 recipient of many prestigious research awards\, such as the</div>\n<div>Ou
 tstanding Research Award\, Ministry of Science and Technology\, Taiwan\, i
 n</div>\n<div>2016\, and the Best Young Researcher of IEEE ComSoc Asia-Pac
 ific Young</div>\n<div>Researcher Award in 2007. He was the Chair of IEEE 
 Vehicular Technology</div>\n<div>Society Taipei Chapter from 2014 to 2015.
  He serves on the editorial boards</div>\n<div>of several journals\, such 
 as IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY.</div>\n<div>&nbsp\;</div>
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