An IEEE CS Türkiye Chapter Talk by Prof. Dr. Damla Turgut
Smart assistive environments support elderly and disabled users by adapting to their needs using machine learning. However, these systems often lack sufficient data, leading to a reliance on centralized learning—which raises serious privacy concerns.
This talk explores the trade-offs between privacy, computation, and benefit in data sharing across local, cloud, and federated learning settings. We highlight that data sharing should only occur when it benefits the user and must be periodically re-evaluated. We also discuss techniques to predict the value of sharing data before it happens, enabling more ethical and effective smart environments.
Prof. Dr. Damla Turgut is Pegasus Professor and Chair of Computer Science at the University of Central Florida (UCF), and Co-Director of the AI Things Lab. Her research spans wireless networks, smart cities, IoT-enabled healthcare, and privacy in machine learning. She has held visiting positions at top institutions including Imperial College London and KTH Sweden.
Dr. Turgut is an IEEE ComSoc and WIE Distinguished Lecturer, Chair of IEEE TCCC, and a Senior Member of IEEE and ACM. Her honors include the Pegasus Professorship (2024), NCWIT MAUR Award, and UCF Women of Distinction Award. She also serves on the IEEE Computer Society Board of Governors (2025–2027).
📆 Thursday, 26 June 2025
⏰ 11:00 AM
📍 AB1. E.F. 407, Özyeğin University, Çekmeköy Campus
English
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