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DTSTAMP:20261008T132805Z
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DTSTART;TZID=America/New_York:20261007T200000
DTEND;TZID=America/New_York:20261007T204000
DESCRIPTION:IEEE WIE STAR Program\n\nInvited Talk\n\nFrom Passive Reflectio
 n to Intelligent Wireless Environments: AI-Empowered Intelligent Reflectin
 g Surfaces for 6G\n\nYingying Wu\n\nNorthwestern Polytechnical University\
 , China\n\nAbout the Talk\n\nFuture wireless networks are expected to supp
 ort ubiquitous connectivity\, high reliability\, enhanced security\, and i
 ntelligent services across increasingly complex communication environments
 . However\, conventional wireless systems primarily adapt transmission and
  reception strategies to the propagation environment\, rather than activel
 y controlling the environment itself. Intelligent Reflecting Surfaces (IRS
 s) offer a new paradigm by enabling programmable control of wireless propa
 gation.\n\nAt the same time\, the large number of configurable IRS element
 s\, dynamic network conditions\, user mobility\, and complex optimization 
 objectives make real-time IRS control increasingly challenging. Artificial
  intelligence provides promising tools for enabling adaptive IRS configura
 tion\, resource allocation\, beamforming\, and intelligent decision-making
  under such dynamic environments.\n\nThis talk will introduce the fundamen
 tal concept of IRS-assisted wireless communications and discuss how AI can
  transform IRSs from programmable reflecting devices into intelligent comp
 onents of future wireless networks. Representative applications in secure 
 communications\, satellite and non-terrestrial networks\, and intelligent 
 resource optimization will be presented. The talk will also discuss curren
 t challenges\, including channel acquisition\, real-time control\, hardwar
 e constraints\, and AI-assisted autonomous optimization\, and conclude wit
 h perspectives on the evolution toward intelligent and programmable wirele
 ss environments for 6G.\n\nAbout the Speaker\n\nYingying Wu received the B
 .S. degree in Information Management and Information Systems from Tianjin 
 Foreign Studies University\, Tianjin\, China\, in 2022. She is currently p
 ursuing the Ph.D. degree with the School of Cybersecurity\, Northwestern P
 olytechnical University\, Xi’an\, China. Her research interests include 
 intelligent reflecting surfaces\, satellite and non-terrestrial communicat
 ions\, physical-layer security\, cybersecurity\, and AI-enabled wireless c
 ommunications. She received the Best Paper Award in the Symposium on Mobil
 e and Wireless Networks at IEEE ICC 2026. She also serves as a reviewer fo
 r several IEEE journals\, including IEEE Internet of Things Journal\, IEEE
  Wireless Communications\, IEEE Network\, and IEEE Transactions on Network
  and Service Management\, and served as a Session Chair at IEEE ICC 2026.\
 n\nSponsors: IEEE Princeton/Central Jersey Section\n\nIEEE Photonics Socie
 ty PCJ Chapter\n\nAll are welcome! You do not have to be a member of the I
 EEE to attend. The registration is free and required.\n\nEvent link:\nhttp
 s://events.vtools.ieee.org/m/579059\n\nTime: 8:00~8:40PM (Eastern Time)\, 
 Wednesday October 7th 2026\n\nZoom: https://futurewei.zoom.us/j/6135444997
 ?pwd=KKKo8mEq66bLONa0Egynb9hWaSZfzl.1&amp;omn=92362055880&amp;from=addon\n\nRegist
 ration Required (Please Click &quot;Register Now&quot; at the end of this page to fi
 nish your registration)\n\nCo-sponsored by: IEEE Princeton/Central Jersey 
 Section\, IEEE Photonics Society PCJS\n\nVirtual: https://events.vtools.ie
 ee.org/m/579059
LOCATION:Virtual: https://events.vtools.ieee.org/m/579059
ORGANIZER:yuanqiu.luo@futurewei.com
SEQUENCE:55
SUMMARY:From Passive Reflection to Intelligent Wireless Environments: AI-Em
 powered Intelligent Reflecting Surfaces for 6G
URL;VALUE=URI:https://events.vtools.ieee.org/m/579059
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 18pt\; fon
 t-family: &#39;arial black&#39;\, sans-serif\;&quot;&gt;&lt;span style=&quot;font-family: arial\, 
 helvetica\, sans-serif\;&quot;&gt;IEEE WIE STAR Program&lt;/span&gt;&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;
 \n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 18pt\; font-family: &#39;
 arial black&#39;\, sans-serif\;&quot;&gt;&lt;span style=&quot;font-family: arial\, helvetica\,
  sans-serif\;&quot;&gt;Invited Talk&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&amp;
 nbsp\;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 10.0pt\; text-align
 : left\; line-height: normal\; page-break-after: avoid\;&quot; align=&quot;left&quot;&gt;&lt;sp
 an style=&quot;font-family: arial\, helvetica\, sans-serif\; font-size: 18pt\;&quot;
 &gt;&lt;strong&gt;From Passive Reflection to Intelligent Wireless Environments: AI-
 Empowered Intelligent Reflecting Surfaces for 6G&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;
 img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/e4b4c233-7
 0c2-4a27-ac0a-6f22e38b236f&quot;&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: arial\, hel
 vetica\, sans-serif\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;Yingying Wu
 &lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: arial\, helvetic
 a\, sans-serif\;&quot;&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&lt;strong&gt;Northwestern Pol
 ytechnical University\, China&lt;/strong&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n
 &lt;p&gt;&lt;span style=&quot;font-family: arial\, helvetica\, sans-serif\; font-size: 1
 4pt\;&quot;&gt;&lt;strong&gt;About the Talk&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;s
 pan style=&quot;font-size: 14pt\; line-height: 107%\; font-family: arial\, helv
 etica\, sans-serif\;&quot;&gt;Future wireless networks are expected to support ubi
 quitous connectivity\, high reliability\, enhanced security\, and intellig
 ent services across increasingly complex communication environments. Howev
 er\, conventional wireless systems primarily adapt transmission and recept
 ion strategies to the propagation environment\, rather than actively contr
 olling the environment itself. Intelligent Reflecting Surfaces (IRSs) offe
 r a new paradigm by enabling programmable control of wireless propagation.
 &lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;font-size: 14pt\; line-heig
 ht: 107%\; font-family: arial\, helvetica\, sans-serif\;&quot;&gt;At the same time
 \, the large number of configurable IRS elements\, dynamic network conditi
 ons\, user mobility\, and complex optimization objectives make real-time I
 RS control increasingly challenging. Artificial intelligence provides prom
 ising tools for enabling adaptive IRS configuration\, resource allocation\
 , beamforming\, and intelligent decision-making under such dynamic environ
 ments.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;font-size: 14pt\; lin
 e-height: 107%\; font-family: arial\, helvetica\, sans-serif\;&quot;&gt;This talk 
 will introduce the fundamental concept of IRS-assisted wireless communicat
 ions and discuss how AI can transform IRSs from programmable reflecting de
 vices into intelligent components of future wireless networks. Representat
 ive applications in secure communications\, satellite and non-terrestrial 
 networks\, and intelligent resource optimization will be presented. The ta
 lk will also discuss current challenges\, including channel acquisition\, 
 real-time control\, hardware constraints\, and AI-assisted autonomous opti
 mization\, and conclude with perspectives on the evolution toward intellig
 ent and programmable wireless environments for 6G.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;
 /p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: arial\, helvetica\, sans-serif\; font-si
 ze: 14pt\;&quot;&gt;&lt;strong&gt;About the Speaker&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNo
 rmal&quot; style=&quot;margin-bottom: 0in\;&quot;&gt;&lt;span style=&quot;font-size: 14pt\; line-hei
 ght: 107%\; font-family: arial\, helvetica\, sans-serif\;&quot;&gt;Yingying Wu rec
 eived the B.S. degree in Information Management and Information Systems fr
 om Tianjin Foreign Studies University\, Tianjin\, China\, in 2022. She is 
 currently pursuing the Ph.D. degree with the School of Cybersecurity\, Nor
 thwestern Polytechnical University\, Xi&amp;rsquo\;an\, China. Her research in
 terests include intelligent reflecting surfaces\, satellite and non-terres
 trial communications\, physical-layer security\, cybersecurity\, and AI-en
 abled wireless communications. She received the Best Paper Award in the Sy
 mposium on Mobile and Wireless Networks at IEEE ICC 2026. She also serves 
 as a reviewer for several IEEE journals\, including&amp;nbsp\;&lt;em style=&quot;mso-b
 idi-font-style: normal\;&quot;&gt;IEEE Internet of Things Journal&lt;/em&gt;\, &lt;em style
 =&quot;mso-bidi-font-style: normal\;&quot;&gt;IEEE Wireless Communications&lt;/em&gt;\, &lt;em s
 tyle=&quot;mso-bidi-font-style: normal\;&quot;&gt;IEEE Network&lt;/em&gt;\, and &lt;em style=&quot;ms
 o-bidi-font-style: normal\;&quot;&gt;IEEE Transactions on Network and Service Mana
 gement&lt;/em&gt;\, and served as a Session Chair at IEEE ICC 2026.&lt;/span&gt;&lt;/p&gt;\n
 &lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: arial\, helvetica\, sans-seri
 f\; font-size: 14pt\;&quot;&gt;&lt;strong&gt;Sponsors:&lt;/strong&gt;&amp;nbsp\;&amp;nbsp\;IEEE Prince
 ton/Central Jersey Section&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: arial\
 , helvetica\, sans-serif\; font-size: 14pt\;&quot;&gt;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;
 &amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbs
 p\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; IEEE Photonics Society PCJ Chapter&lt;/span&gt;&lt;/p&gt;\n&lt;p
 &gt;&lt;span style=&quot;font-family: arial\, helvetica\, sans-serif\; font-size: 14p
 t\;&quot;&gt;All are welcome!&amp;nbsp\;You do not have to be a member of the IEEE to 
 attend. The registration is free and required.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=
 &quot;font-family: arial\, helvetica\, sans-serif\; font-size: 14pt\;&quot;&gt;&lt;strong&gt;
 Event link:&lt;br&gt;&lt;/strong&gt;&lt;/span&gt;&lt;span style=&quot;font-family: arial\, helvetica
 \, sans-serif\; font-size: 14pt\;&quot;&gt;&lt;a href=&quot;https://events.vtools.ieee.org
 /m/579059&quot;&gt;https://events.vtools.ieee.org/m/579059&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;spa
 n style=&quot;font-family: arial\, helvetica\, sans-serif\; font-size: 14pt\;&quot;&gt;
 &lt;strong&gt;Time&lt;/strong&gt;:&amp;nbsp\;&amp;nbsp\;8:00~8:40PM (Eastern Time)\, Wednesday
  October 7&lt;sup&gt;th&lt;/sup&gt; 2026&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: aria
 l\, helvetica\, sans-serif\; font-size: 14pt\;&quot;&gt;&lt;strong&gt;Zoom:&lt;/strong&gt; &lt;sp
 an style=&quot;font-size: 12.0pt\; font-family: &#39;Aptos&#39;\,sans-serif\; mso-farea
 st-font-family: DengXian\; mso-fareast-theme-font: minor-fareast\; mso-bid
 i-font-family: Aptos\; mso-ansi-language: EN-US\; mso-fareast-language: ZH
 -CN\; mso-bidi-language: AR-SA\;&quot;&gt;&lt;a href=&quot;https://futurewei.zoom.us/j/613
 5444997?pwd=KKKo8mEq66bLONa0Egynb9hWaSZfzl.1&amp;amp\;omn=92362055880&amp;amp\;fro
 m=addon&quot;&gt;https://futurewei.zoom.us/j/6135444997?pwd=KKKo8mEq66bLONa0Egynb9
 hWaSZfzl.1&amp;amp\;omn=92362055880&amp;amp\;from=addon&lt;/a&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;
 &lt;span style=&quot;font-family: arial\, helvetica\, sans-serif\; font-size: 14pt
 \;&quot;&gt;&lt;strong&gt;Registration Required&amp;nbsp\;&lt;/strong&gt;(Please Click &quot;Register N
 ow&quot; at the end of this page to finish your registration)&lt;/span&gt;&lt;/p&gt;
END:VEVENT
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