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Dr. Sean Peisert is jointly appointed as a research scientist and lecturer at
the University of California, Davis, and a research scientist at Lawrence
Berkeley National Laboratory. He performs research in computer security and is
particularly interested in computer forensic analysis, intrusion detection,
vulnerability analysis, security policy modeling, electronic voting, the
insider threat, and empirical studies of security. Previously, he was an I3P
Fellow and postdoc at UC Davis, was a postdoc and lecturer at the University of
California, San Diego (UCSD), was a computer security researcher at the San
Diego Supercomputer Center (SDSC), and co-founded a software company. He
received his Ph.D., Masters and Bachelors degrees in Computer Science from
UCSD, where his dissertation focused on a developing a systematic approach to
forensic logging. He is also an occasional computer security and forensics
consultant.
Dr. Peisert has written many published, peer-reviewed papers and is actively
involved with and interested in both with the academic computer security
community and also broader, cross-disciplinary communities that have ties with
computer security and forensics including law and business. He gave the
keynote address at IEEE/SADFE'08, a multi-disciplinary conference on digital
forensic engineering, and was the Program Committee Co-Chair of IEEE/SADFE'09.
In late 2008, prior to the U.S. presidential election, he co-authored a
document on "Resolving the Unexpected in Elections: Election Officials'
Options," a guide to help election officials understanding how computer
forensic techniques can be applied to issues with electronic voting machines
and related systems. The document is currently also distributed via the
American Bar Association's voting resource page and the Center for Election
Excellence.
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