BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260912T044111Z UID:44F9D332-A71D-4E70-A017-AF378D95DE82 DTSTART;TZID=Asia/Kolkata:20260911T100000 DTEND;TZID=Asia/Kolkata:20260911T110000 DESCRIPTION:Dear All\,\n\nGreetings from the IEEE ComSoc Student Branch Cha pter (SBC) and IEEE ComSoc\, IIT Guwahati.\nWe are pleased to have Dr. Dee pak Mishra\, Senior Lecturer at the University of New South Wales (UNSW)\, Sydney\, Australia\, deliver a technical talk as per the details given be low.\n\nTopic: Next-Generation Wireless Sensing for Non-intrusive Autonomo us Environment Monitoring\nDate: 11 September 2026 (Friday)\nTime: 10:00 A M to 11:00 AM IST\nVenue: EEE Seminar Room\, Second Floor\, Dept. of EEE\n \nThe abstract of the talk and a brief bio of the speaker is given below:\ n\nAbstract: The ability to monitor environments using futuristic\, non-in trusive autonomous technologies was once a mere science fiction dream. How ever\, recent developments in wireless sensing have demonstrated that this future is now a reality. It has been established that changes in the phys ical environment influence wireless transmissions\, and these changes in r eceived signal power have been leveraged for precise sensing of these envi ronments. Specifically\, the underlying channel state information (CSI) is fed to artificial intelligence (AI) algorithms after data and signal proc essing\, which can be utilised for desired prediction and classification. This technology has\nfound multiple applications in the field of Informati on and Communications Technology (ICT)\, including behaviour monitoring\, object detection\, occupancy counting\, gesture detection\, heartbeat or h ealthcare monitoring\, temperature sensing\, fire detection\, network traf fic classification\, and even simultaneous localisation and mapping in rob otics. WiFi applications for these sensing problems are fascinating due to the widespread penetration of IoT signals in commercial and domestic envi ronments. A further benefit of WiFi as a wireless sensing medium is its no n-intrusive nature compared to other sensing technologies\, such as camera s\, wearable tags\, and smartphone apps. This research talk will focus on the next-generation wireless sensing-based ICT\, highlighting opportunitie s and challenges and discussing how backscattering capability can enable a utonomous and sustainable sensing. The underlying privacy implications and some defence strategies to safeguard critical activities will also be dis cussed. The objective is to disseminate recent findings and our experiment ally validated research outcomes on WiFi sensing for ICT and environmental monitoring applications\, while discussing the robustness\, resilience\, and autonomous attributes\, as well as the way forward for this AI-enabled wireless sensing technology.\n\nAbout the Speaker: Deepak Mishra is a Sen ior Lecturer and Deputy Director of Postgraduate Academic Studies at the S chool of Electrical Engineering and Telecommunications\, UNSW\, Sydney\, A ustralia. He is also the co-founder and CTO of GinigAI Pty Ltd. He receive d his PhD in electrical engineering from IIT Delhi in 2017 and subsequentl y worked as a Postdoctoral Researcher at Linköping University\, Sweden. H e has received several prestigious research awards\, including the IBM PhD . Fellowship Award\, Raman Charpak Fellowship\, Endeavour Research Fellows hip\, and the Australian Research Council (ARC) Discovery Early Career Res earcher Award (DECRA). His research interests include AI-enabled wireless sensing\, energy harvesting cooperative communication networks\, massive M IMO\, privacy-aware backscattering\, physical layer security\, as well as signal processing and energy optimisation schemes for the uninterrupted op eration of wireless networks. He serves as an Associate Editor of several IEEE journals and was recognised as a Best Editor for IEEE Wireless Commun ications Letters in 2023.\nWe look forward to your gracious presence.\n\nR egards\,\n\nIEEE ComSoc Student Branch Chapter (SBC) Team\n\nIIT Guwahati\ n\nBldg: EEE Department\, Seminar Room\, IIT Guwahati\, Guwahati\, Assam\, India LOCATION:Bldg: EEE Department\, Seminar Room\, IIT Guwahati\, Guwahati\, As sam\, India ORGANIZER:n.nabajyoti@iitg.ac.in SEQUENCE:53 SUMMARY:Technical Talk on "Next-Generation Wireless Sensing for Non-intrusi ve Autonomous Environment Monitoring" URL;VALUE=URI:https://events.vtools.ieee.org/m/576148 X-ALT-DESC:Description: <br /><div class="x_elementToProof" data-olk-copy-s ource="MessageBody">Dear All\,</div>\n<div class="x_elementToProof">&nbsp\ ;</div>\n<div class="x_elementToProof">Greetings from the IEEE ComSoc Stud ent Branch Chapter (SBC) and IEEE ComSoc\, IIT Guwahati.</div>\n<div class ="x_elementToProof">We are pleased to have Dr. Deepak Mishra\, Senior Lect urer at the University of New South Wales (UNSW)\, Sydney\, Australia\, de liver a technical talk as per the details given below.</div>\n<div class=" x_elementToProof">&nbsp\;</div>\n<div class="x_elementToProof"><strong>Top ic:</strong>&nbsp\;Next-Generation Wireless Sensing for Non-intrusive Auto nomous Environment Monitoring</div>\n<div class="x_elementToProof"><strong >Date:</strong>&nbsp\;11 September 2026 (Friday)</div>\n<div class="x_elem entToProof"><strong>Time:</strong> 10:00 AM to 11:00 AM IST</div>\n<div cl ass="x_elementToProof"><strong>Venue:</strong>&nbsp\;EEE Seminar Room\, Se cond Floor\, Dept. of EEE</div>\n<div class="x_elementToProof">&nbsp\;</di v>\n<p class="x_elementToProof">The abstract of the talk and a brief bio o f the speaker is given below:</p>\n<p class="x_elementToProof"><strong>Abs tract: </strong>The ability to monitor environments using futuristic\, non -intrusive autonomous&nbsp\; technologies was once a mere science fiction dream. However\, recent developments in wireless&nbsp\; sensing have demon strated that this future is now a reality. It has been established that ch anges in&nbsp\;the physical environment influence wireless transmissions\, and these changes in received signal power have been leveraged for precis e sensing of these environments. Specifically\, the underlying&nbsp\;chann el state information (CSI) is fed to artificial intelligence (AI) algorith ms after data and signal processing\, which can be utilised for desired pr ediction and classification. This technology has&nbsp\;<br>found multiple applications in the field of Information and Communications Technology (IC T)\,&nbsp\;including behaviour monitoring\, object detection\, occupancy c ounting\, gesture detection\, heartbeat or healthcare monitoring\, tempera ture sensing\, fire detection\, network traffic classification\, and even simultaneous localisation and mapping in robotics. WiFi applications for t hese sensing problems are fascinating due to the widespread penetration of IoT signals in commercial and domestic environments. A further benefit of WiFi as a wireless sensing medium is its non-intrusive nature compared to other sensing technologies\, such as cameras\, wearable tags\, and smartp hone apps. This research talk will focus on the next-generation wireless s ensing-based ICT\, highlighting opportunities and challenges and discussin g how backscattering capability can enable autonomous and sustainable sens ing. The underlying privacy implications and some defence strategies to sa feguard critical activities will also be discussed. The objective is to di sseminate recent findings and our experimentally validated research outcom es on WiFi sensing for ICT and environmental monitoring&nbsp\;applications \, while discussing the robustness\, resilience\, and autonomous attribute s\, as well as the way forward for this AI-enabled wireless sensing techno logy.</p>\n<p class="x_elementToProof"><strong>About the Speaker:</strong> &nbsp\;Deepak Mishra is a Senior Lecturer and Deputy Director of Postgradu ate Academic Studies at the School of Electrical Engineering and Telecommu nications\, UNSW\, Sydney\, Australia. He is also the co-founder and CTO o f GinigAI Pty Ltd. He received his PhD in electrical engineering from IIT Delhi in 2017 and subsequently worked as a Postdoctoral Researcher at Link &ouml\;ping University\, Sweden. He has received several prestigious resea rch awards\, including the IBM PhD. Fellowship Award\, Raman Charpak Fello wship\, Endeavour Research Fellowship\, and the Australian Research Counci l (ARC) Discovery Early Career Researcher Award (DECRA). His research inte rests include AI-enabled wireless sensing\, energy harvesting cooperative communication networks\, massive MIMO\, privacy-aware backscattering\, phy sical layer security\, as well as signal processing and energy optimisatio n schemes for the uninterrupted operation of wireless networks. He serves as an Associate Editor of several IEEE journals and was recognised as a Be st Editor for IEEE Wireless Communications Letters in 2023.</p>\n<div clas s="x_elementToProof">We look forward to your gracious presence.</div>\n<di v class="x_elementToProof">&nbsp\;</div>\n<div class="x_elementToProof">Re gards\,</div>\n<p class="x_elementToProof"><strong>IEEE ComSoc Student Bra nch Chapter (SBC) Team</strong></p>\n<p class="x_elementToProof">IIT Guwah ati</p>\n<div class="x_elementToProof">&nbsp\;</div> END:VEVENT END:VCALENDAR