BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 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:20260213T014642Z UID:3093AE6D-A03A-4FEB-B6A8-A05D6F3A68E0 DTSTART;TZID=America/New_York:20260212T183000 DTEND;TZID=America/New_York:20260212T194500 DESCRIPTION:IEEE Orlando section in collaboration with WIE affinity group a nd Computer Society is hosting a technical lecture by Dr. Damla Turgut\, P egasus Professor and Chair of Computer Science at University of Central Fl orida.\n\nBio sketch: Damla Turgut is Pegasus Professor and Chair of Compu ter Science at the University of Central Florida (UCF). She is the co-dire ctor of the AI Things Laboratory. She held visiting researcher positions a t the University of Rome ``La Sapienza''\, Imperial College of London\, an d KTH Royal Institute of Technology\, Sweden. Her research interests inclu de wireless ad hoc\, sensor\, underwater\, vehicular\, and social networks \, edge/cloud computing\, smart cities\, smart grids\, IoT-enabled healthc are and augmented reality\, as well as considerations of privacy in the In ternet of Things. Dr. Turgut serves on several editorial boards and progra m committees of prestigious ACM and IEEE journals and conferences. Her mos t recent honors include Pegasus Professorship in 2024\, NCWIT 2021 Mentori ng Award for Undergraduate Research (MAUR)\, the UCF Research Incentive Aw ard\, and the UCF Women of Distinction Award. She served as the N2Women Bo ard Co-Chair where she co-led the activities of the N2Women Board in suppo rting female researchers in the fields of networking and communications fr om 2019 through 2024. Dr. Turgut is an IEEE ComSoc Distinguished Lecturer\ , IEEE ComSoC Women in Engineering (WIE) Distinguished Lecturer\, ACM and IEEE Senior Member\, IEEE CS Technical Activities Committee (TAC) Chair\, and IEEE Technical Community on Computer Communications (TCCC) Chair. She is also IEEE Computer Society Board of Governors Member (2025-2027).\n\nTi tle of the Talk: Privacy in smart healthcare\n\nAbstract of the Talk: The miniaturization of sensor technologies\, the proliferation of mobile and w earable devices\, as well as devices embedded in our living and working sp aces\, have created the technical possibility of acquiring extensive healt h-related data in a non-intrusive way. This can range from fever screening through thermal cameras to\, in the near future\, the detection of biomar kers for a range of illnesses by analyzing breath. The combination of thes e basic detection technologies with machine learning techniques allows us to make the sensors orders of magnitude more accurate. These technologies open up new possibilities for society to monitor and improve public health . However\, they will also lead to an unprecedented loss of privacy. In th is talk\, I will explore the present and near-future landscape of privacy considerations in smart healthcare related sensing and consider some of th e possible technological and societal responses.\n\nRoom: 101\, Bldg: 8\, Valenica College East Campus\, 701 N Econlockhatchee Trail\, Orlando\, Flo rida\, United States\, 32825 LOCATION:Room: 101\, Bldg: 8\, Valenica College East Campus\, 701 N Econloc khatchee Trail\, Orlando\, Florida\, United States\, 32825 ORGANIZER:sonali.das@ucf.edu SEQUENCE:37 SUMMARY:IEEE Orlando Section Speaker Series - February 2026 URL;VALUE=URI:https://events.vtools.ieee.org/m/536477 X-ALT-DESC:Description: <br /><p>IEEE Orlando section in collaboration with WIE affinity group and Computer Society is hosting a technical lecture by &nbsp\;<strong>Dr. Damla Turgut</strong><span data-olk-copy-source="Calend arCompose"><strong>\, Pegasus Professor and Chair of Computer Science at U niversity of Central Florida</strong>.</span></p>\n<p><strong><span data-o lk-copy-source="CalendarCompose">Bio sketch: </span></strong><span class=" markxc4qf0aa8" data-markjs="true" data-ogac="" data-ogab="" data-ogsc="" d ata-ogsb="" data-olk-copy-source="MessageBody">Dam</span>la Turgut is Pega sus Professor and Chair of Computer Science at the University of Central F lorida (UCF). She is the co-director of the AI Things Laboratory. She held visiting researcher positions at the University of Rome ``La Sapienza''\, Imperial College of London\, and KTH Royal Institute of Technology\, Swed en. Her research interests include wireless ad hoc\, sensor\, underwater\, vehicular\, and social networks\, edge/cloud computing\, smart cities\, s mart grids\, IoT-enabled healthcare and augmented reality\, as well as con siderations of privacy in the Internet of Things. Dr. Turgut serves on sev eral editorial boards and program committees of prestigious ACM and IEEE j ournals and conferences. Her most recent honors include Pegasus Professors hip in 2024\, NCWIT 2021 Mentoring Award for Undergraduate Research (MAUR) \, the UCF Research Incentive Award\, and the UCF Women of Distinction Awa rd. She served as the N2Women Board Co-Chair where she co-led the activiti es of the N2Women Board in supporting female researchers in the fields of networking and communications from 2019 through 2024. Dr. Turgut is an IEE E ComSoc Distinguished Lecturer\, IEEE ComSoC Women in Engineering (WIE) D istinguished Lecturer\, ACM and IEEE Senior Member\, IEEE CS Technical Act ivities Committee (TAC) Chair\, and IEEE Technical Community on Computer C ommunications (TCCC) Chair. She is also IEEE Computer Society Board of Gov ernors Member (2025-2027).</p>\n<p><img style="border-style: solid\;" src= "https://events.vtools.ieee.org/vtools_ui/media/display/c4f19543-6d4b-4bcf -b8a3-cdde3e5a07d4" width="301" height="450"></p>\n<p><strong>Title of the Talk:</strong> <span data-olk-copy-source="MessageBody">Privacy in smart healthcare</span></p>\n<p><span data-olk-copy-source="MessageBody"><strong >Abstract of the Talk:</strong> The miniaturization of sensor technologies \, the proliferation of mobile and wearable devices\, as well as devices e mbedded in our living and working spaces\, have created the technical poss ibility of acquiring extensive health-related data in a non-intrusive way. This can range from fever screening through thermal cameras to\, in the n ear future\, the detection of biomarkers for a range of illnesses by analy zing breath. The combination of these basic detection technologies with ma chine learning techniques allows us to make the sensors orders of magnitud e more accurate. These technologies open up new possibilities for society to monitor and improve public health. However\, they will also lead to an unprecedented loss of privacy. In this talk\, I will explore the present a nd near-future landscape of privacy considerations in smart healthcare rel ated sensing and consider some of the possible technological and societal responses.</span></p>\n<p><span data-olk-copy-source="CalendarCompose">&nb sp\;</span></p> END:VEVENT END:VCALENDAR