Directory

Maverick Woo is a systems scientist at the CyLab Security and Privacy Institute at Carnegie Mellon University. He received his Ph.D. in Computer Science from Carnegie Mellon in 2009 and joined CyLab in 2011. Woo’s current research interests include software security and program analysis, with a focus on algorithm design and budget optimization.

Office
2120 Collaborative Innovation Center
Phone
412.268.4757
Email
pooh@cmu.edu
Google Scholar
Maverick Woo
Websites
Maverick Woo’s Website

Education

2009 Ph.D., Computer Science, Carnegie Mellon University

2000 BA, Engineering, Cornell University

Affiliations

Media mentions


CyLab Security and Privacy Institute

CMU hacking team defends title at MITRE cybersecurity competition

For the second year in a row, Carnegie Mellon’s competitive hacking team, the Plaid Parliament of Pwning, has taken home the top prize at the MITRE Embedded Capture-the-Flag (eCTF) cybersecurity competition.

CyLab Security and Privacy Institute

CMU hacking team wins MITRE cybersecurity competition

Carnegie Mellon’s competitive hacking team beat 31 other schools from around the world in designing a secure electronic device for aircrafts and attacking other teams’ designs.

CyLab Security and Privacy Institute

Second round of Secure and Private IoT Initiative funded projects announced

Carnegie Mellon CyLab’s Secure and Private IoT Initiative (IoT@CyLab) has announced its second round of funding, which will support ten IoT-related projects for one year.

CyLab

Gligor and Woo receive distinguished paper award at NDSS Symposium 2019

CyLab’s Virgil Gligor and Maverick Woo received the distinguished paper award at the Network and Distributed Systems Security (NDSS) Symposium in San Diego, California.

CyLab Security and Privacy Institute

CyLab’s Gligor and Woo receive Distinguished Paper Award for breakthrough result on establishing “root of trust”

In a breakthrough study, “Establishing Root of Trust Unconditionally,” CyLab researchers Virgil Gligor and Maverick Woo present a test that can be run on any computing device to show whether the device has been infected with malware or not.