BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20201101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210227T234826Z UID:21EED804-3AE9-4959-B78C-010DB6C80131 DTSTART;TZID=US/Pacific:20210225T170000 DTEND;TZID=US/Pacific:20210225T183000 DESCRIPTION:Abstract:\nAs cars are now being connected to the Internet and the car platforms become like computers with hardware and software\, machi ne learning and AI become paramount for connected and autonomous driving a s well as predictive vehicle maintenance. Data mining plays an important p art in the evolutionary development of these systems. Connected and self-d riving vehicles generate amazing amounts of data\, including building inte rnal user profiles for building predictive models of preferences. Machine learning can help connected and autonomous vehicles find optimal patterns to create safe\, useful\, and enjoyable passenger experiences. In this tal k\, I will explain three applications for applying machine learning in jou rney management\, predictive vehicle maintenance\, and personal preference s.\n\nBio:\nDr. Alvin Chin is Chair of IEEE VTS Chicago\, but his full-tim e job is AI and Emerging Technology Researcher at BMW Technology Corporati on where his research involves exploring AI and emerging technologies for potential use cases in production at BMW. Previously\, he was Senior Machi ne Learning Researcher at BMW Technology Corporation in Chicago where he w orked on big data and machine learning for improving driving behavior. Pri or to BMW\, he was a Senior Researcher at Microsoft and Nokia in Beijing w orking on big data and analytics for browsing behavior in Xpress Browser\, and Senior Researcher at Nokia Research Center working on mobile social n etworking in particular proximity social networks for inferring social act ivity\, collaboration and recommendation in real physical environments. Dr . Chin has authored more than 30 publications and 15 patents including tho se pending. He has a Bachelors's and Masters's degrees in Computer Enginee ring from the University of Waterloo and a Ph.D. in Computer Science from the University of Toronto. Dr. Chin is a member of various program committ ees such as ACM KDD\, ACM Hypertext\, IEEE CPSCom\, ACM Ubicomp\, ACM CSCW \, and IEEE VTC. He is an ACM Senior Member and IEEE Senior Member. Dr. Ch in is also active in the Chicago community\, as Chair of ACM Chicago\, Cha ir of the IEEE VTS Chicago Chapter\, Chair of the IEEE Computer Society Ch icago Chapter\, and Treasurer of IEEE Chicago. He was the Publicity Co-Cha ir for IEEE Vehicular Technology Conference-Fall 2020 and is the Secretary of the IEEE VTS/Automated Vehicles Standards Committee. Alvin can be reac hed at alvin.chin@ieee.org and his website is http://www.alvinychin.com.\n \n[Register Now](https://simnet.zoom.us/meeting/register/tJEkdOqprDgrGNzmd C1ScbI7q0_XwiLJKnXJ)\n\nCo-sponsored by: Pradeep Kumar\n\nPortland\, Orego n\, United States\, Virtual: https://events.vtools.ieee.org/m/259489 LOCATION:Portland\, Oregon\, United States\, Virtual: https://events.vtools .ieee.org/m/259489 ORGANIZER:Pradeep@ieee.org SEQUENCE:5 SUMMARY:Oregon ComSoc: Machine Learning in Connected Cars URL;VALUE=URI:https://events.vtools.ieee.org/m/259489 X-ALT-DESC:Description: <br /><p><span style="font-size: 14pt\;"><strong>Ab stract:</strong></span><br /><span style="font-size: 14pt\;">As cars are n ow being connected to the Internet and the car platforms become like compu ters with hardware and software\, machine learning and AI become paramount for connected and autonomous driving as well as predictive vehicle mainte nance. Data mining plays an important part in the evolutionary development of these systems. Connected and self-driving vehicles generate amazing am ounts of data\, including building internal user profiles for building pre dictive models of preferences. Machine learning can help connected and aut onomous vehicles find optimal patterns to create safe\, useful\, and enjoy able passenger experiences. In this talk\, I will explain three applicatio ns for applying machine learning in journey management\, predictive vehicl e maintenance\, and personal preferences.</span></p>\n<p><span style="font -size: 14pt\;"><strong>Bio:</strong></span><br /><span style="font-size: 1 4pt\;">Dr. Alvin Chin is Chair of IEEE VTS Chicago\, but his full-time job is AI and Emerging Technology Researcher at BMW Technology Corporation wh ere his research involves exploring AI and emerging technologies for poten tial use cases in production at BMW. Previously\, he was Senior Machine Le arning Researcher at BMW Technology Corporation in Chicago where he worked on big data and machine learning for improving driving behavior. Prior to BMW\, he was a Senior Researcher at Microsoft and Nokia in Beijing workin g on big data and analytics for browsing behavior in Xpress Browser\, and Senior Researcher at Nokia Research Center working on mobile social networ king in particular proximity social networks for inferring social activity \, collaboration and recommendation in real physical environments. Dr. Chi n has authored more than 30 publications and 15 patents including those pe nding. He has a Bachelors's and Masters's degrees in Computer Engineering from the University of Waterloo and a Ph.D. in Computer Science from the U niversity of Toronto. Dr. Chin is a member of various program committees s uch as ACM KDD\, ACM Hypertext\, IEEE CPSCom\, ACM Ubicomp\, ACM CSCW\, an d IEEE VTC. He is an ACM Senior Member and IEEE Senior Member. Dr. Chin is also active in the Chicago community\, as Chair of ACM Chicago\, Chair of the IEEE VTS Chicago Chapter\, Chair of the IEEE Computer Society Chicago Chapter\, and Treasurer of IEEE Chicago. He was the Publicity Co-Chair fo r IEEE Vehicular Technology Conference-Fall 2020 and is the Secretary of t he IEEE VTS/Automated Vehicles Standards Committee. Alvin can be reached a t alvin.chin@ieee.org and his website is http://www.alvinychin.com.</span> </p>\n<p style="font-weight: 400\;"><span style="font-size: 14pt\;">&nbsp\ ;</span></p>\n<p style="font-weight: 400\;"><span style="font-size: 14pt\; "><a href="https://simnet.zoom.us/meeting/register/tJEkdOqprDgrGNzmdC1ScbI 7q0_XwiLJKnXJ"><strong>Register Now</strong></a></span></p>\n<p><span styl e="font-size: 14pt\;">&nbsp\;</span></p> END:VEVENT END:VCALENDAR