IEEE Orlando Section Speaker Series - February 2026
IEEE Orlando section in collaboration with WIE affinity group and Computer Society is hosting a technical lecture by Dr. Damla Turgut, Pegasus Professor and Chair of Computer Science at University of Central Florida.
Bio sketch: Damla Turgut is Pegasus Professor and Chair of Computer Science at the University of Central Florida (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, Sweden. Her research interests include wireless ad hoc, sensor, underwater, vehicular, and social networks, edge/cloud computing, smart cities, smart grids, IoT-enabled healthcare and augmented reality, as well as considerations of privacy in the Internet of Things. Dr. Turgut serves on several editorial boards and program committees of prestigious ACM and IEEE journals and conferences. Her most recent honors include Pegasus Professorship in 2024, NCWIT 2021 Mentoring Award for Undergraduate Research (MAUR), the UCF Research Incentive Award, and the UCF Women of Distinction Award. She served as the N2Women Board Co-Chair where she co-led the activities of the N2Women Board in supporting female researchers in the fields of networking and communications from 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).
Title of the Talk: Privacy in smart healthcare
Abstract of the Talk: The miniaturization of sensor technologies, the proliferation of mobile and wearable devices, as well as devices embedded in our living and working spaces, have created the technical possibility of acquiring extensive health-related data in a non-intrusive way. This can range from fever screening through thermal cameras to, in the near future, the detection of biomarkers for a range of illnesses by analyzing breath. The combination of these 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 this talk, I will explore the present and near-future landscape of privacy considerations in smart healthcare related sensing and consider some of the possible technological and societal responses.
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- Valenica College East Campus
- 701 N Econlockhatchee Trail
- Orlando, Florida
- United States 32825
- Building: 8
- Room Number: 101
- Starts 02 February 2026 05:00 AM UTC
- Ends 12 February 2026 05:00 AM UTC
- No Admission Charge
- Menu: Veg, Non-Veg