BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=1SU;BYMONTH=11 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=2SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN="Gupta, Sumeet Kumar":mailto:guptask@purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=ecefacult y@ecn.purdue.edu:mailto:ecefaculty@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN='ecegrads tudent-list@ecn.purdue.edu':mailto:ecegradstudent-list@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=ecepostdo cs-list@ecn.purdue.edu:mailto:ecepostdocs-list@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=BNC-EngSt aff:mailto:BNC-EngStaff@groups.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=bnc-facul ty-all-list@ecn.purdue.edu:mailto:bnc-faculty-all-list@ecn.purdue.edu ATTACH:CID:C2661D9AE574524DB3BDEC155338887D@namprd22.prod.outlook.com DESCRIPTION;LANGUAGE=en-US:Hello\n\nIt is my great pleasure to invite you a ll to a webinar (a very relevant one\, especially in these times) by Prof. Prof. Philip E. Paré\, Purdue University in the ECE Seminar Series. The details are below and attached. Hope to see you in the seminar.\n\nThanks\ n\nSumeet\n\n\nWhen: August 26\, 2021 (Thursday)\, 10:00 AM – 11:00 AM ( ET)\n\n\nWhere: https://purdue-edu.zoom.us/j/3164232249\n\n\nTitle: Epidem ic Spread with Transportation: Modeling\, Inference\, and Control\n\n\n\nA bstract: In this talk\, we explore how networked compartmental models of e pidemic processes combined with transportation data can be used to model t he spread of COVID-19. We first employ a networked SEIR (susceptible-expos ed-infected-recovered) model and present necessary and sufficient conditio ns for identifying the model parameters from data. We illustrate several s hortcomings of traditional approaches by applying the identification resul ts to COVID-19 testing and travel data from the Northeastern United States and use these inaccuracies as motivation for the latter two parts of the talk. One typical error is assuming that testing data perfectly capture th e underlying epidemic states\, which is not accurate due to delays in test ing results\, testing inaccuracies\, and biased/partial population samplin g. We present an algorithm for inferring the underlying epidemic states of an SIR model from testing data that accounts for heterogeneous delays and a closed-form expression for the error of the algorithm. The last part of the talk focuses on the recent development of a networked SEIR model that incorporates population flow as the viral spread mechanism to capture inf ection transmission between sub-populations. We show\, under reasonable as sumptions\, that the dynamics have a consensus-type behavior where in stea dy-state each sub-population has the same amount of recovered individuals. Employing this model\, we present several approaches for using travel res trictions as a control mechanism. We conclude the talk with some prelimina ry results on validation with real data from the state of Minnesota.\n\n\n Speaker Bio: Philip E. Paré is an Assistant Professor in the School of El ectrical and Computer Engineering at Purdue University. He received his Ph .D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2018\, after which he went to KTH Royal Institute of Technology in Stockholm\, Sweden to be a Post-Doctoral Scholar from 201 9-2020. He received his B.S. in Mathematics with University Honors and his M.S. in Computer Science from Brigham Young University in 2012 and 2014\, respectively. At the University of Illinois\, he was the recipient of the Robert T. Chien Memorial Award for excellence in research and named a Mav is Fellow. His research focuses on networked control systems\, namely mode ling\, analysis\, and control of virus spread over networks.\n UID:040000008200E00074C5B7101A82E0080000000036DDF402EF8DD701000000000000000 010000000F37C29641C4A1949AF9153D15A8D67BE SUMMARY;LANGUAGE=en-US:Webinar by Prof. Philip E. Paré on "Epidemic Spread with Transportation: Modeling\, Inference\, and Control" DTSTART;TZID=Eastern Standard Time:20210826T100000 DTEND;TZID=Eastern Standard Time:20210826T110000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20210810T135640Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 LOCATION;LANGUAGE=en-US:https://purdue-edu.zoom.us/j/3164232249 X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:2119717430 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MICROSOFT-LOCATIONDISPLAYNAME:https://purdue-edu.zoom.us/j/3164232249 X-MICROSOFT-LOCATIONSOURCE:None X-MICROSOFT-LOCATIONS:[{"DisplayName":"https://purdue-edu.zoom.us/j/3164232 249 "\,"LocationAnnotation":""\,"LocationUri":""\,"LocationStreet":""\,"Lo cationCity":""\,"LocationState":""\,"LocationCountry":""\,"LocationPostalC ode":""\,"LocationFullAddress":""}] END:VEVENT END:VCALENDAR