BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Central BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210704T191944Z UID:136B8E2E-3F6B-4657-A3A7-D262B71A6241 DTSTART;TZID=US/Central:20210519T090000 DTEND;TZID=US/Central:20210519T103000 DESCRIPTION:The IEEE Austin Joint Societies' Chapters of ComSoc\, Signal Pr ocessing\, Consumer Electronics and EMBS and Computer are pleased to bring a Virtual Distinguished Lecture event on\n\n“Digital Twin for 6G and In ternet of Things”\n\nDay:\n\nMay 19\, 2021\n\nTime:\n\n9:00 am Central T ime\n\nLocation:\n\nWebEx (Dial-in information will be provided shortly)\n \nSPEAKER:\n\nProf. Yan Zhang\, IEEE Fellow\n\nProfessor\, Department of I nformaticsUniversity of Oslo\, Norway\n\nAbstract\n\nIn this talk\, we mai nly introduce our recent studies on Digital Twin (DT) for 6G\, Edge Comput ing\, air-ground networks\, and IoT. We will first introduce the main conc epts and challenges related to Digital Twin. Then\, we present a new scena rio DITEN (Digital Twin Edge Networks) and the research challenges related to offloading\, edge association and resource optimization. Throughout th e talk\, we join DT and machine learning to add intelligence and present o ur ideas on utilizing machine learning (e.g.\, deep reinforcement learning \, federated learning) for low-latency\, privacy-preservation\, and energy -efficiency in 6G and IoT networks.\n\nBIO:\n\nYan Zhang is currently a Fu ll Professor with the Department of Informatics\, University of Oslo\, Nor way. He received the Ph.D. degree from the School of Electrical and Electr onics Engineering\, Nanyang Technological University\, Singapore. He recei ved M.S. and B.S from Beihang University and Nanjing University of Post an d Telecommunications\, respectively. His research interests include next-g eneration wireless networks leading to 6G\, green and secure cyber-physica l systems (e.g.\, smart grid and transport). Dr. Zhang is an Editor (or Ar ea Editor\, Senior Editor\, Associate Editor) for several IEEE transaction s/magazine\, including IEEE Network Magazine\, IEEE Transactions on Networ k Science and Engineering\, IEEE Transactions on Vehicular Technology\, IE EE Transactions on Industrial Informatics\, IEEE Transactions on Green Com munications and Networking\, IEEE Communications Survey and Tutorials\, IE EE Internet of Things Journal\, IEEE Systems Journal\, IEEE Vehicular Tech nology Magazine\, and IEEE Blockchain Technical Briefs. He is a symposium/ track chair in a number of conferences\, including IEEE ICC 2021\, IEEE Sm artGridComm 2021\, and IEEE Globecom 2017. He is the Chair of IEEE Communi cations Society Technical Committee on Green Communications and Computing (TCGCC). He is an IEEE Communications Society Distinguished Lecturer and I EEE Vehicular Technology Society Distinguished Speaker. He was an IEEE Veh icular Technology Society Distinguished Lecturer during 2016-2020. Since 2 018\, Prof. Zhang was a recipient of the global “Highly Cited Researcher ” Award (Web of Science top 1% most cited worldwide). He is Fellow of IE EE\, Fellow of IET\, elected member of Academia Europaea (MAE)\, elected m ember of the Royal Norwegian Society of Sciences and Letters (DKNVS)\, and elected member of Norwegian Academy of Technological Sciences (NTVA).\n\n -\n\nPLEASE RSVP.\n\nIf you have any question\, please connect with Fawzi Behmann at f.behmann@ieee.org\, IEEE Chair of Joint Austin Chapters (ComSo c/SP/CESoc & Computer/EMBS)\n\nVirtual Event\, Austin\, Texas\, United Sta tes\, 78729 LOCATION:Virtual Event\, Austin\, Texas\, United States\, 78729 ORGANIZER:f.behmann@ieee.org SEQUENCE:8 SUMMARY:Austin-IEEE Joint Chapters bring VIRTUAL Distinguished Lecture even t on “Digital Twin for 6G and Internet of Things” URL;VALUE=URI:https://events.vtools.ieee.org/m/269961 X-ALT-DESC:Description: <br /><p><strong>The IEEE Austin Joint Societies' C hapters of ComSoc\, Signal Processing\, Consumer Electronics and EMBS and Computer are pleased to bring a Virtual Distinguished Lecture event on</st rong></p>\n<p>&nbsp\;</p>\n<p><span style="font-size: 14pt\;"><strong>&ldq uo\;Digital Twin for 6G and Internet of Things&rdquo\;</strong></span></p> \n<p>&nbsp\;</p>\n<p><strong>Day:</strong></p>\n<p><strong>May 19\, 2021</ strong></p>\n<p><strong>Time: &nbsp\;</strong> &nbsp\; &nbsp\;</p>\n<p>9:0 0 am Central Time&nbsp\; &nbsp\; &nbsp\; &nbsp\;&nbsp\;</p>\n<p>&nbsp\;</p >\n<p><strong>Location:&nbsp\;</strong></p>\n<p>WebEx (Dial-in information will be provided shortly)</p>\n<p>&nbsp\;</p>\n<p class="Default"><strong >SPEAKER:</strong></p>\n<p>Prof. Yan Zhang\, IEEE Fellow</p>\n<p class="De fault">Professor\, Department of InformaticsUniversity of Oslo\, Norway</p >\n<p><strong>Abstract</strong></p>\n<p>In this talk\, we mainly introduce our recent studies on Digital Twin (DT) for 6G\, Edge Computing\, air-gro und networks\, and IoT. We will first introduce the main concepts and chal lenges related to Digital Twin. Then\, we present a new scenario&nbsp\;<em >DITEN (Digital Twin Edge Networks)&nbsp\;</em>and the research challenges related to offloading\, edge association and resource optimization. Throu ghout the talk\, we join DT and machine learning to add intelligence and p resent our ideas on utilizing machine learning (e.g.\, deep reinforcement learning\, federated learning) for low-latency\, privacy-preservation\, an d energy-efficiency in 6G and IoT networks.</p>\n<p><strong>BIO:</strong>< /p>\n<p>Yan Zhang is currently a Full Professor with the Department of Inf ormatics\, University of Oslo\, Norway. He received the Ph.D. degree from the School of Electrical and Electronics Engineering\, Nanyang Technologic al University\, Singapore. He received M.S. and B.S from Beihang Universit y and Nanjing University of Post and Telecommunications\, respectively. Hi s research interests include next-generation wireless networks leading to 6G\, green and secure cyber-physical systems (e.g.\, smart grid and transp ort). Dr. Zhang is an Editor (or Area Editor\, Senior Editor\, Associate E ditor) for several IEEE transactions/magazine\, including IEEE Network Mag azine\, IEEE Transactions on Network Science and Engineering\, IEEE Transa ctions on Vehicular Technology\, IEEE Transactions on Industrial Informati cs\, IEEE Transactions on Green Communications and Networking\, IEEE Commu nications Survey and Tutorials\, IEEE Internet of Things Journal\, IEEE Sy stems Journal\, IEEE Vehicular Technology Magazine\, and IEEE Blockchain T echnical Briefs. He is a symposium/track chair in a number of conferences\ , including IEEE ICC 2021\, IEEE SmartGridComm 2021\, and IEEE Globecom 20 17. He is the Chair of IEEE Communications Society Technical Committee on Green Communications and Computing (TCGCC). He is an IEEE Communications S ociety Distinguished Lecturer and IEEE Vehicular Technology Society Distin guished Speaker. He was an IEEE Vehicular Technology Society Distinguished Lecturer during 2016-2020. Since 2018\, Prof. Zhang was a recipient of th e global &ldquo\;Highly Cited Researcher&rdquo\; Award (Web of Science top 1% most cited worldwide). He is Fellow of IEEE\, Fellow of IET\, elected member of Academia Europaea (MAE)\, elected member of the Royal Norwegian Society of Sciences and Letters (DKNVS)\, and elected member of Norwegian Academy of Technological Sciences (NTVA).</p>\n<ul>\n<li>&nbsp\;</li>\n</u l>\n<p>&nbsp\;</p>\n<p>PLEASE RSVP.&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>If you have any question\, please connect with Fawzi Behmann at f.behmann@ieee.or g\, IEEE Chair of Joint Austin Chapters (ComSoc/SP/CESoc &amp\; Computer/E MBS)</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR