BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250527T071732Z UID:0610CB3A-8E4D-480F-B39B-5F6E9B6494CA DTSTART;TZID=America/New_York:20250523T123000 DTEND;TZID=America/New_York:20250523T143000 DESCRIPTION:Talk Title 1: Self-Supervised Learning for Wi-Fi Sensing: Trend s\,\nChallenges\, and Outlook\n\nAbstract: Wi-Fi signals\, traditionally u sed for data transmissions\nin wireless local area networks (WLANs)\, are now being explored for\nsensing the environment. With Wi-Fi widely availab le in public and\nprivate spaces\, it presents advantages over other sensi ng methods\,\nsuch as preserving privacy and working in low-light conditio ns.\nWi-Fi sensing is cost-effective as it builds on the existing Wi-Fi\ni nfrastructure with a variety of applications including proximity\ndetectio n\, localization\, human activity recognition\, and health\nmonitoring. Th e talk will first highlight the evolution of Wi-Fi\nstandards alongside th e most recent IEEE 802.11bf which is under\nstudy to develop protocols acr oss all spectrum bands\,\nincluding sub-7 GHz (2.4 GHz\, 5 GHz\, 6 GHz) an d the 60 GHz mmWave\nband. Fundamental concepts related to Wi-Fi sensing\, such as channel\nstate information (CSI)\, CSI measurement and data colle ction\nprocedures\, and CSI pre-processing methods\, will then be covered. A\ncomparative analysis of existing Wi-Fi sensing datasets will be\nprese nted. Recent deep learning approaches in Wi-Fi sensing will be\ndiscussed\ , with particular emphasis on the role of self-supervised\nlearning (SSL). The mechanics of contrastive and non-contrastive SSL\nsolutions will be e xamined\, and a quantitative comparative analysis\nin terms of classificat ion accuracy will be provided. Lastly\,\nemerging technologies that can be leveraged to enhance Wi-Fi sensing\nperformance will be identified.\n\nBi ography\n\nHina Tabassum\, received the Ph.D. degree from the King Abdulla h University of Science and Technology (KAUST). She is currently an Associ ate Professor with the Lassonde School of Engineering\, York University\, Canada\, where she joined as an Assistant Professor\, in 2018. She is also appointed as a Visiting Faculty at University of Toronto in 2024 and the York Research Chair of 5G/6G-enabled mobility and sensing applications in 2023\, for five years. Prior to that\, she was a postdoctoral research ass ociate at University of Manitoba\, Canada. She has been selected as IEEE C omSoc Distinguished Lecturer (2025-2026). She is listed in the Stanford’ s list of the World’s Top Two-Percent Researchers in 2021-2024. She rece ived the Lassonde Innovation Early-Career Researcher Award in 2023 and the N2Women: Rising Stars in Computer Networking and Communications in 2022. She has been recognized as an Exemplary Editor by the IEEE Communications Letters (2020)\, IEEE Open Journal of the Communications Society (IEEE OJC OMS) (2023-2024)\, and IEEE Transactions on Green Communications and Netwo rking (2023). She was recognized as an Exemplary Reviewer (Top 2% of all r eviewers) by IEEE Transactions on Communications in 2015\, 2016\, 2017\, 2 019\, and 2020. She is the Founding Chair of the Special Interest Group on THz communications in IEEE Communications Society (ComSoc)-Radio Communic ations Committee (RCC). She served as an Associate Editor for IEEE Communi cations Letters (2019-2023)\, IEEE OJCOMS (2019-2023)\, and IEEE Transacti ons on Green Communications and Networking (2020-2023). Currently\, she is also serving as an Area Editor for IEEE OJCOMS and an Associate Editor fo r IEEE Transactions on Communications\, IEEE Transactions on Wireless Comm unications\, IEEE Transactions on Mobile Computing\, and IEEE Communicatio ns Surveys & Tutorials.\n\nSpeaker(s): Hina\, \n\nRoom: Dupuis 215\, Bldg: Dupuis Hall\, Queen's University\, 19 Division St\, Kingston\, ON \, King ston\, Ontario\, Canada\, K7L 2N9 LOCATION:Room: Dupuis 215\, Bldg: Dupuis Hall\, Queen's University\, 19 Div ision St\, Kingston\, ON \, Kingston\, Ontario\, Canada\, K7L 2N9 ORGANIZER:chan-f@rmc.ca SEQUENCE:43 SUMMARY:IEEE DLT: Self-Supervised Learning for Wi-Fi Sensing: Trends\, Chal lenges\, and Outlook URL;VALUE=URI:https://events.vtools.ieee.org/m/485308 X-ALT-DESC:Description: <br /><div><span style="color: #212121\; font-famil y: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,seri f\,EmojiFont\; font-size: small\;">Talk Title 1: Self-Supervised Learning for Wi-Fi Sensing:&nbsp\; Trends\,&nbsp\;</span><br><span style="color: #2 12121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial \,sans-serif\,serif\,EmojiFont\; font-size: small\;">Challenges\, and Outl ook</span><br><br><span style="color: #212121\; font-family: wf_segoe-ui_n ormal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont\; f ont-size: small\;">&nbsp\;<strong>Abstract</strong>: Wi-Fi signals\, tradi tionally used for data transmissions&nbsp\;</span><br><span style="color: #212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Ari al\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;in wireless local area networks (WLANs)\, are now being explored for&nbsp\;</span><br> <span style="color: #212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,S egoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: small\;" >&nbsp\;sensing the environment. With Wi-Fi widely available in public and &nbsp\;</span><br><span style="color: #212121\; font-family: wf_segoe-ui_n ormal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont\; f ont-size: small\;">&nbsp\;private spaces\, it presents advantages over oth er sensing methods\,&nbsp\;</span><br><span style="color: #212121\; font-f amily: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\, serif\,EmojiFont\; font-size: small\;">&nbsp\;such as preserving privacy a nd working in low-light conditions.&nbsp\;</span><br><span style="color: # 212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Aria l\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;Wi-Fi sensing is cost-effective as it builds on the existing Wi-Fi&nbsp\;</span><br><sp an style="color: #212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Sego e WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&n bsp\;infrastructure with a variety of applications including proximity&nbs p\;</span><br><span style="color: #212121\; font-family: wf_segoe-ui_norma l\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont\; font- size: small\;">&nbsp\;detection\, localization\, human activity recognitio n\, and health&nbsp\;</span><br><span style="color: #212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\ ,EmojiFont\; font-size: small\;">&nbsp\;monitoring. The talk will first hi ghlight the evolution of Wi-Fi&nbsp\;</span><br><span style="color: #21212 1\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sa ns-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;standards alongsid e the most recent IEEE 802.11bf which is under&nbsp\;</span><br><span styl e="color: #212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,T ahoma\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;st udy to develop protocols across all spectrum bands\,</span><br><span style ="color: #212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Ta homa\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;inc luding sub-7 GHz (2.4 GHz\, 5 GHz\, 6 GHz) and the 60 GHz mmWave&nbsp\;</s pan><br><span style="color: #212121\; font-family: wf_segoe-ui_normal\,Seg oe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;band. Fundamental concepts related to Wi-Fi sensing\, such as channel&nbsp\;</span><br><span style="color: #212121\; font-family: wf _segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,Em ojiFont\; font-size: small\;">&nbsp\;state information (CSI)\, CSI measure ment and data collection&nbsp\;</span><br><span style="color: #212121\; fo nt-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-ser if\,serif\,EmojiFont\; font-size: small\;">&nbsp\;procedures\, and CSI pre -processing methods\, will then be covered. A&nbsp\;</span><br><span style ="color: #212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Ta homa\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;com parative analysis of existing Wi-Fi sensing datasets will be&nbsp\;</span> <br><span style="color: #212121\; font-family: wf_segoe-ui_normal\,Segoe U I\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: smal l\;">&nbsp\;presented. Recent deep learning approaches in Wi-Fi sensing wi ll be&nbsp\;</span><br><span style="color: #212121\; font-family: wf_segoe -ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFon t\; font-size: small\;">&nbsp\;discussed\, with particular emphasis on the role of self-supervised&nbsp\;</span><br><span style="color: #212121\; fo nt-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-ser if\,serif\,EmojiFont\; font-size: small\;">&nbsp\;learning (SSL). The mech anics of contrastive and non-contrastive SSL&nbsp\;</span><br><span style= "color: #212121\; font-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tah oma\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;solu tions will be examined\, and a quantitative comparative analysis&nbsp\;</s pan><br><span style="color: #212121\; font-family: wf_segoe-ui_normal\,Seg oe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont\; font-size: small\;">&nbsp\;in terms of classification accuracy will be provided. Last ly\,&nbsp\;</span><br><span style="color: #212121\; font-family: wf_segoe- ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-serif\,serif\,EmojiFont \; font-size: small\;">&nbsp\;emerging technologies that can be leveraged to enhance Wi-Fi sensing&nbsp\;</span><br><span style="color: #212121\; fo nt-family: wf_segoe-ui_normal\,Segoe UI\,Segoe WP\,Tahoma\,Arial\,sans-ser if\,serif\,EmojiFont\; font-size: small\;">&nbsp\; performance will be ide ntified.</span></div>\n<div>&nbsp\;</div>\n<div>\n<div><span style="font-f amily: Aptos\,Aptos_EmbeddedFont\,Aptos_MSFontService\,Calibri\,Helvetica\ ,sans-serif\,serif\,EmojiFont\; font-size: medium\;"><strong>Biography</st rong></span></div>\n<div><span style="font-family: Aptos\,Aptos_EmbeddedFo nt\,Aptos_MSFontService\,Calibri\,Helvetica\,sans-serif\,serif\,EmojiFont\ ; font-size: medium\;">&nbsp\;</span></div>\n<div><span style="font-family : Aptos\,Aptos_EmbeddedFont\,Aptos_MSFontService\,Calibri\,Helvetica\,sans -serif\,serif\,EmojiFont\; font-size: medium\;">Hina Tabassum\, received t he Ph.D. degree from the King Abdullah University of Science and Technolog y (KAUST). She is currently an Associate Professor with the Lassonde Schoo l of Engineering\, York University\, Canada\, where she joined as an Assis tant Professor\, in 2018. She is also appointed as a Visiting Faculty at U niversity of Toronto in 2024 and the York Research Chair of 5G/6G-enabled mobility and sensing applications in 2023\, for five years. Prior to that\ , she was a postdoctoral research associate at University of Manitoba\, Ca nada. She has been selected as IEEE ComSoc Distinguished Lecturer (2025-20 26). She is listed in the Stanford&rsquo\;s list of the World&rsquo\;s Top Two-Percent Researchers in 2021-2024. She received the Lassonde Innovatio n Early-Career Researcher Award in 2023 and the N2Women: Rising Stars in C omputer Networking and Communications in 2022. She has been recognized as an Exemplary Editor by the IEEE Communications Letters (2020)\, IEEE Open Journal of the Communications Society (IEEE OJCOMS) (2023-2024)\, and IEEE Transactions on Green Communications and Networking (2023). She was recog nized as an Exemplary Reviewer (Top 2% of all reviewers) by IEEE Transacti ons on Communications in 2015\, 2016\, 2017\, 2019\, and 2020. She is the Founding Chair of the Special Interest Group on THz communications in IEEE Communications Society (ComSoc)-Radio Communications Committee (RCC). She served as an Associate Editor for IEEE Communications Letters (2019-2023) \, IEEE OJCOMS (2019-2023)\, and IEEE Transactions on Green Communications and Networking (2020-2023). Currently\, she is also serving as an Area Ed itor for IEEE OJCOMS and an Associate Editor for IEEE Transactions on Comm unications\, IEEE Transactions on Wireless Communications\, IEEE Transacti ons on Mobile Computing\, and IEEE Communications Surveys &amp\; Tutorials .</span></div>\n</div> END:VEVENT END:VCALENDAR