Norman Sadeh is a Professor in the School of Computer Science at Carnegie Mellon University. His research focuses on AI, ML, HCI and Language Technologies with applications to privacy, cybersecurity, mobile and the Internet of Things, including public policy issues.
His research has been credited for influencing the design of products at companies that include Apple, Google and Facebook. He is also well known for earlier research contributions in areas spanning scheduling, supply chain management, multi-agent systems, automated trading and semantic web technologies.
Norman is also a successful entrepreneur and served as founding CEO and, until its acquisition by Proofpoint, as chairman and chief scientist of Wombat Security Technologies. In the late nineties Norman served as Chief Scientist of the European Union's e-Commerce initiative, which included all pan-European research in cybersecurity and privacy as well as major related public policy initiatives.
Email: S***H at cs.cmu.edu
Lab Manager: Ms. Linda Moreci
Phone: (412) 268-9934
Email: Laf20 at cs.cmu.edu
October 2020 Presenting our work on the Design of a Privacy Infrastructure for the Internet of Things at 2020 USENIX Privacy Engineering Practice and Respect Conference (PEPR’20).
November 2020: Just announced two new options in our privacy engineering program Both options are designed for working professionals interested in getting privacy engineering training without having to leave their existing jobs.
November 2020 The Decision Sciences Institute announced that our 1998 article on Modeling Supply Chain Dynamics: A Multiagent Approach is one of the 15 most cited papers in the 50 year history of its Decision Sciences Journal.
December 2020: released new version of our IoT Privacy Infrastructure and IoT Assistant app. The infrastructure enables people to publicize the presence of IoT data collection processes at different locations and the IoT Assistant app enables people to discover them. Check it out!
December 2020: The California Office of the Attorney General (“Cal AG”) just announced they would rely on icons and text we designed andd evaluated for the new California Consumer Privacy Act (CCPA). Here’s the CyLab’s press release summarizing the work we conducted to inform and refine the design. And here’s the official March 2021 press release from the Cal AG acknowledging our contribution.
January 2021: Our group just released Opt-Out Easy, a browser extension for Chrome and Firefox that uses machine learning to automatically identify opt-out choices buried deep in the text of privacy policies. This should increase awareness of available opt-out choices and enable people to more readily exercise these choices. Here’s the CyLab press release (including a short video). This research was also published at the 2020 Web Conference