Tanvir Ahmed & Evan Dong
Cornell Tech
End-to-end Verifiable Privacy for Human-Centered Wireless Sensing
Abstract
The Digital Life Seminar series offers students and guests an opportunity to engage actively with leading scholars and practitioners researching and responding to the development and application of digital technologies.
About
Tanvir Ahmed is a PhD student in Information Science at Cornell Tech, advised by Professor Rajalakshmi Nandakumar. His research focuses on leveraging existing wireless sensors on smart devices to develop novel applications in sensing, healthcare, and AI. As a DLI Doctoral Fellow, he will explore the theoretical foundations and practical frameworks necessary for the responsible, secure, and ethical deployment of wireless sensing systems in everyday life.
Evan Dong is a PhD student in Computer Science at Cornell Tech advised by Nikhil Garg and Angelina Wang. Their research combines conceptual interests in identity and social construction with optimization and machine learning methods to interrogate the processes that translate algorithmic model outputs into real-world classifications and decisions. Their past work has touched on structural disparities in voter demographic data, formal limitations to school admission prediction systems, and ontological tensions in bias audit methodology. As a DLI Doctoral Fellow, Evan aims to build a rigorous foundation to make normative privacy and equity claims about how model outputs should be interpreted.