BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20231130T220343Z UID:4817C1FA-8391-4047-B686-15D5D1DA6D5A DTSTART;TZID=America/Los_Angeles:20231019T180000 DTEND;TZID=America/Los_Angeles:20231019T190000 DESCRIPTION:Title:\n\nMillimeter-wave Reconfigurable Intelligent Surfaces f or 5G and Future Wireless Communications\n\nAbstract:\n\nMillimeter-waves (mmWaves\, 30-300 GHz) cover much shorter distances than the sub-6GHz sign als due to absorption and/or strong scattering from most materials in a ty pical communication channel. As such\, it is very common for the user equi pment (UE) to receive unacceptably low signal-to-noise (SNR) signals or ex periencing no coverage at all. Densifying the base station (BS) network is an approach that will improve signal coverage\, this comes at a substanti al capital expenditure due to the costs associated with the hardware\, ins tallation\, and maintenance of such complicated systems. Alternatively\, p assive reconfigurable intelligent surfaces (RISs) are potential solutions to the mmWave coverage challenges and have attracted great interest in the recent years from both academia and industry. RISs are low cost\, low pro file planar devices capable of redirecting incident mmWaves to a desirable direction(s) without generating an RF power (passive) thus being potentia lly ultra-low power systems. In this presentation\, I will provide a brief background for the RIS circuits and systems\, review relevant prior work\ , and present our proposed and fabricated RIS designs. I will also discuss the deployment of RISs in real-world wireless communication scenarios. Th e talk will end with potential future RIS architectures and new sensing an d imaging applications.\n\nBiography:\n\nGeorgios Trichopoulos received th e Diploma degree in electrical and computer engineering from the Democritu s University of Thrace\, Xanthi\, Greece\, in 2004\, the M.S. degree in bi omedical engineering from the National Technical University of Athens and University of Patras\, Greece (under a joint program)\, in 2006\, and the Ph.D. degree in electrical and computer engineering from The Ohio State Un iversity\, Columbus\, OH\, USA\, in 2013.\n\nFrom 2013 to 2015\, he was a Postdoctoral Researcher with the ElectroScience Laboratory\, The Ohio Stat e University.\n\nHis research areas include electromagnetic theory\, terah ertz imaging\, antenna design for millimeter-wave and terahertz sensors\, and high-frequency reconfigurable metasurfaces.\n\nHe is currently an Asso ciate Professor with the School of Electrical\, Computer\, and Energy Engi neering\, Arizona State University\, Tempe\, AZ\, USA.\n\nDr. Trichopoulos has been the recipient of several awards\, including the Best Student Pap er Award of the 2013 IEEE Antennas and Propagation Symposium and 2019 NSF CAREER Award.\n\nVirtual: https://events.vtools.ieee.org/m/377668 LOCATION:Virtual: https://events.vtools.ieee.org/m/377668 ORGANIZER:geochen1@yahoo.com SEQUENCE:3 SUMMARY:Millimeter-wave Reconfigurable Intelligent Surfaces for 5G and Futu re Wireless Communications URL;VALUE=URI:https://events.vtools.ieee.org/m/377668 X-ALT-DESC:Description: <br /><p><strong>Title: </strong></p>\n<p>Millimete r-wave Reconfigurable Intelligent Surfaces for 5G and Future Wireless Comm unications</p>\n<p><strong>Abstract: </strong></p>\n<p>Millimeter-waves (m mWaves\, 30-300 GHz) cover much shorter distances than the sub-6GHz signal s due to absorption and/or strong scattering from most materials in a typi cal communication channel. As such\, it is very common for the user equipm ent (UE) to receive unacceptably low signal-to-noise (SNR) signals or expe riencing no coverage at all. Densifying the base station (BS) network is a n approach that will improve signal coverage\, this comes at a substantial capital expenditure due to the costs associated with the hardware\, insta llation\, and maintenance of such complicated systems. Alternatively\, pas sive reconfigurable intelligent surfaces &nbsp\;(RISs) are potential solut ions to the mmWave coverage challenges and have attracted great interest i n the recent years from both academia and industry. RISs are low cost\, lo w profile planar devices capable of redirecting incident mmWaves to a desi rable direction(s) without generating an RF power (passive) thus being pot entially ultra-low power systems. In this presentation\, I will provide a brief background for the RIS circuits and systems\, review relevant prior work\, and present our proposed and fabricated RIS designs. I will also di scuss the deployment of RISs in real-world wireless communication scenario s. The talk will end with potential future RIS architectures and new sensi ng and imaging applications.</p>\n<p><strong>Biography:&nbsp\;</strong></p >\n<p>Georgios Trichopoulos received the Diploma degree in electrical and computer engineering from the Democritus University of Thrace\, Xanthi\, G reece\, in 2004\, the M.S. degree in biomedical engineering from the Natio nal Technical University of Athens and University of Patras\, Greece (unde r a joint program)\, in 2006\, and the Ph.D. degree in electrical and comp uter engineering from The Ohio State University\, Columbus\, OH\, USA\, in 2013.</p>\n<p>From 2013 to 2015\, he was a Postdoctoral Researcher with t he ElectroScience Laboratory\, The Ohio State University.</p>\n<p>His rese arch areas include electromagnetic theory\, terahertz imaging\, antenna de sign for millimeter-wave and terahertz sensors\, and high-frequency reconf igurable metasurfaces.</p>\n<p>He is currently an Associate Professor with the School of Electrical\, Computer\, and Energy Engineering\, Arizona St ate University\, Tempe\, AZ\, USA.</p>\n<p>Dr. Trichopoulos has been the r ecipient of several awards\, including the Best Student Paper Award of the 2013 IEEE Antennas and Propagation Symposium and 2019 NSF CAREER Award.&n bsp\;</p> END:VEVENT END:VCALENDAR