Responsible DS + AI Speaker Series: Pardis Emami-Naeini, University of Washington
Pardis Emami-Naeini, postdoctoral scholar in the School of Computer Science at the University of Washington, will give the talk, "Designing an Informative and Usable Security and Privacy Label for IoT Devices."
Pardis Emami-Naeini is a postdoctoral scholar in the Security and Privacy Research Lab at the University of Washington. Her research is broadly at the intersection of security and privacy, usability, and human-computer interaction. Her work has been published at top venues in security (IEEE S&P, SOUPS) and human-computer interaction and social sciences (CHI, CSCW) and covered by multiple outlets, including Wired and the Wall Street Journal. Pardis received her B.Sc. degree in computer engineering from Sharif University of Technology in 2015 and the M.Sc. and Ph.D. degrees in computer science from Carnegie Mellon University in 2018 and 2020, respectively. She was selected as a Rising Star in electrical engineering and computer science in October 2019 and was awarded the 2019-2020 CMU CyLab Presidential Fellowship.is a postdoctoral scholar in the School of Computer Science at the University of Washington.
Selected publications:
Pardis Emami-Naeini, Janarth Dheenadhayalan, Lorrie Cranor, and Yuvraj Agarwal. Which Privacy and Security Attributes Most Impact Consumers' Risk Perception and Willingness to Purchase IoT Devices?. In Proceedings of the 42nd IEEE Symposium on Security and Privacy (S&P ’21).
Pardis Emami-Naeini, Yuvraj Agarwal, Lorrie Cranor, and Hanan Hibshi. Ask the Experts: What Should Be on an IoT Privacy and Security Label?. In Proceedings of the 41st IEEE Symposium on Security and Privacy (S&P ’20).
Pardis Emami-Naeini, Yuvraj Agarwal, Lorrie Cranor, and Henry Dixon. Exploring How Privacy and Security Factor into IoT Device Purchase Behavior. In Proceedings of the 37th ACM Conference on Human Factors in Computing Systems (CHI '19).
Meeting ID: 892 2049 3449
Password: 771370
Questions? Contact Janet Eke
The Responsible Data Science and AI Speaker Series discusses topics such as explainability, reproducibility, biases, data curation and governance, and privacy. The series is co-organized by Associate Professor Jana Diesner and Assistant Professor Nigel Bosch at the iSchool at Illinois and hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS).
This event is sponsored by Center for Informatics Research in Science and Scholarship