Saranga Komanduri



Usable security; privacy; economics; machine learning.


Saranga received his PhD degree in Societal Computing from the School of Computer Science at Carnegie Mellon University. His research focus was usable security: the design of secure systems with a human-centric approach. Saranga's doctoral research on estimating password strength using machine learning contributed to the revision of NIST's guidelines for secure passwords (800-63b), which influence the password policies of thousands of organizations.

Saranga's research interests also include privacy, online advertising, and social networks. He has published and spoken at top academic conferences such as the IEEE Symposium on Security and Privacy, the ACM Conference on Computer and Communications Security, the Symposium on Usable Privacy and Security, and USENIX Security, among others.

Saranga has expertise in security engineering, site reliability, cloud applications, and data science. He lives in Colorado with his wife and two young boys.