BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Shanghai BEGIN:STANDARD DTSTART:19910915T010000 TZOFFSETFROM:+0900 TZOFFSETTO:+0800 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260511T081609Z UID:106AC932-9018-43E5-A1D6-7DF773E88539 DTSTART;TZID=Asia/Shanghai:20260509T100000 DTEND;TZID=Asia/Shanghai:20260509T120000 DESCRIPTION:IEEE MTT-S Frontiers Workshop on Microwave Technology is organi zed by IEEE MTT-S Shenzhen Chapter. Two distinguished talks will be delive red by Prof. Anding Zhu and Roberto Gómez-García\, respectively. Here ar e the information of the two talks.\n\nTitle: RF/Microwave Filters With Be yond-Transmission-Band Flat Group Delay for Advanced Digital Communication s\n\nSpeaker: Prof. Roberto Gómez-García\n\nAbstract: When designing RF/ microwave filters\, especial attention is commonly paid to the obtaining o f high-selectivity filtering responses with sharp-rejection characteristic s and high in-band amplitude flatness. Nevertheless\, this generally invol ves high in-band group-delay variations\, which may be prohibitive in some applications\, such as digital communication scenarios due to inter-symbo l interference issues. The purpose of this talk is to present recent advan ces in the development of RF/microwave filters featuring quasi-flat group- delay response beyond their 3-dB transmission bands and transmission zeros in their out-of-band regions. For all these RF filters with beyond-transm ission-band flat group delay\, experimental results of manufactured proof- of-concept prototypes are shown.\n\nTitle: From Physics to Intelligence: A I-Driven Design of Next-Generation RF Systems\n\nSpeaker: Prof. Anding Zhu \n\nAbstract:\n\nThe design of RF and microwave systems has traditionally been grounded in physics-based models\, analytical techniques\, and engine ering intuition. While this approach has enabled decades of innovation\, t he increasing complexity of modern wireless systems is pushing conventiona l design methodologies to their limits. With the emerging role of machine learning and artificial intelligence\, AI-driven approaches are enabling n ew ways to explore design spaces\, accelerate development\, and uncover so lutions beyond traditional intuition. By combining physics-based understan ding with data-driven intelligence\, a new generation of hybrid design met hodologies is emerging. These approaches open the door to AI-assisted and eventually self-optimizing RF systems\, where devices\, circuits\, and alg orithms are co-designed in a unified framework. This talk will discuss rec ent advances\, key challenges\, and future opportunities in this rapidly e volving field\, highlighting how AI may fundamentally reshape the way RF s ystems are designed and implemented.\n\nCo-sponsored by: Southern Universi ty of Science and Technology\n\nRoom: 4th floor\, Bldg: Conference Center\ , SUSTech\, Shenzhen\, Guangdong\, China LOCATION:Room: 4th floor\, Bldg: Conference Center\, SUSTech\, Shenzhen\, G uangdong\, China ORGANIZER:zhang.qf@sustech.edu.cn SEQUENCE:36 SUMMARY:IEEE MTT-S Frontiers Workshop on Microwave Technology URL;VALUE=URI:https://events.vtools.ieee.org/m/558707 X-ALT-DESC:Description: <br /><p>IEEE MTT-S Frontiers Workshop on Microwave Technology is organized by IEEE MTT-S Shenzhen Chapter. Two distinguished talks will be delivered by Prof. Anding Zhu and Roberto G&oacute\;mez-Gar c&iacute\;a\, respectively. Here are the information of the two talks.</p> \n<p>Title: <strong>RF/Microwave Filters With Beyond-Transmission-Band Fla t Group Delay for Advanced Digital Communications</strong></p>\n<p>Speaker : Prof. Roberto G&oacute\;mez-Garc&iacute\;a</p>\n<p>Abstract: When design ing RF/microwave filters\, especial attention is commonly paid to the obta ining of high-selectivity filtering responses with sharp-rejection charact eristics and high in-band amplitude flatness. Nevertheless\, this generall y involves high in-band group-delay variations\, which may be prohibitive in some applications\, such as digital communication scenarios due to inte r-symbol interference issues. The purpose of this talk is to present recen t advances in the development of RF/microwave filters featuring quasi-flat group-delay response beyond their 3-dB transmission bands and transmissio n zeros in their out-of-band regions. For all these RF filters with beyond -transmission-band flat group delay\, experimental results of manufactured proof-of-concept prototypes are shown.</p>\n<p>Title: <strong>From Physic s to Intelligence: AI-Driven Design of Next-Generation RF Systems</strong> </p>\n<p>Speaker: Prof. Anding Zhu</p>\n<p>Abstract:&nbsp\;</p>\n<p class= "MsoNormal">The design of RF and microwave systems has traditionally been grounded in physics-based models\, analytical techniques\, and engineering intuition. While this approach has enabled decades of innovation\, the in creasing complexity of modern wireless systems is pushing conventional des ign methodologies to their limits. &nbsp\;With the emerging role of machin e learning and artificial intelligence\, AI-driven approaches are enabling new ways to explore design spaces\, accelerate development\, and uncover solutions beyond traditional intuition. By combining physics-based underst anding with data-driven intelligence\, a new generation of hybrid design m ethodologies is emerging. These approaches open the door to AI-assisted an d eventually self-optimizing RF systems\, where devices\, circuits\, and a lgorithms are co-designed in a unified framework. This talk will discuss r ecent advances\, key challenges\, and future opportunities in this rapidly evolving field\, highlighting how AI may fundamentally reshape the way RF systems are designed and implemented.</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p> \n<p>&nbsp\;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR