BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240208T184946Z UID:26DA0DBE-6975-49CA-B891-732FFF1A91C0 DTSTART;TZID=America/New_York:20240208T110000 DTEND;TZID=America/New_York:20240208T120500 DESCRIPTION:Wireless networks are now an essential and integral part of mod ern life\, seamlessly woven into the fabric of people’s daily routines. The traditional radio based wireless approach suffers from three major dra wbacks: (1) RF communication relies on limited spectrum resources\, leadin g to congestion and interference. (2) Traditional RF devices often consume significant energy\, especially on mobile devices. (3) RF communication h as security risks like eavesdropping and interference. In recent years\, t here has been a proliferation of low-cost and energy-efficient LEDs and ca meras deployed ubiquitously. This trend opens up the exciting possibility of leveraging light for next-generation wireless networks.\n\nIn this talk \, I will share three key findings from my research in optical wireless co mmunication\, highlighting its potential applications in localization and sensing through machine learning. Firstly\, I will introduce a novel frame work LiFOD that leverages side-channels to enhance indoor LiFi with smooth dimming. Secondly\, I will showcase U-Star\, a cost-effective self-served underwater navigation system featuring self-illuminating 3D tags. Lastly\ , I will demonstrate RoFin\, an optical camera communication-based digital health approach for human-computer interaction for individuals with Parki nson’s disorder. These findings contribute to the development of next-ge neration wireless networks\, emphasizing human-centered\, environmentally friendly and secure communication coupled with accurate location awareness . I will conclude by outlining my long-term vision for next-generation wir eless networks\, incorporating a multidimensional approach that integrates communication\, cognition/control\, and computation.\n\nSpeaker(s): Xiao Zhang\, \n\nAgenda: \n11:00 AM Start of talk\n12:00 PM Conclusions\n\nRoom : Room 135\, Bldg: Dodge Hall\, 118 Library Drive\, Rochester\, Michigan\, United States\, 48326\, Virtual: https://events.vtools.ieee.org/m/405501 LOCATION:Room: Room 135\, Bldg: Dodge Hall\, 118 Library Drive\, Rochester\ , Michigan\, United States\, 48326\, Virtual: https://events.vtools.ieee.o rg/m/405501 ORGANIZER:sharan.kalwani@ieee.org SEQUENCE:18 SUMMARY:Towards Next-Generation Wireless Networks: Light Perspective URL;VALUE=URI:https://events.vtools.ieee.org/m/405501 X-ALT-DESC:Description: <br /><p>Wireless networks are now an essential and integral part of modern life\, seamlessly woven into the fabric of people &rsquo\;s daily routines. The traditional radio based wireless approach su ffers from three major drawbacks: (1) RF communication relies on limited s pectrum resources\, leading to congestion and interference. (2) Traditiona l RF devices often consume significant energy\, especially on mobile devic es. (3) RF communication has security risks like eavesdropping and interfe rence. In recent years\, there has been a proliferation of low-cost and en ergy-efficient LEDs and cameras deployed ubiquitously. This trend opens up the exciting possibility of leveraging light for next-generation wireless networks.<br /><br />In this talk\, I will share three key findings from my research in optical wireless communication\, highlighting its potential applications in localization and sensing through machine learning. Firstl y\, I will introduce a novel framework LiFOD that leverages side-channels to enhance indoor LiFi with smooth dimming. Secondly\, I will showcase U-S tar\, a cost-effective self-served underwater navigation system featuring self-illuminating 3D tags. Lastly\, I will demonstrate RoFin\, an optical camera communication-based digital health approach for human-computer inte raction for individuals with Parkinson&rsquo\;s disorder. These findings c ontribute to the development of next-generation wireless networks\, emphas izing human-centered\, environmentally friendly and secure communication c oupled with accurate location awareness. I will conclude by outlining my l ong-term vision for next-generation wireless networks\, incorporating a mu ltidimensional approach that integrates communication\, cognition/control\ , and computation.</p><br /><br />Agenda: <br /><p>11:00 AM Start of talk< br />12:00 PM Conclusions</p> END:VEVENT END:VCALENDAR