基本信息
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Career Trajectory
Bio
Currently, I am a professor in the Department of Computer Science at Georgetown University. My research interests include machine learning, data mining, on-line learning algorithms, concept drift, and applications of machine learning and data mining to computer security. I led the effort that established Georgetown's first graduate programs in computer science and served as their first director. In 2004, I shared with Zico Kolter the award for the best application paper at KDD for our work on detecting malicious executables. In 2007, I shared with Greg Stephens and Kate Arndt a Program Innovation Award from the MITRE Corporation for our work on detecting insider threats. I have served as a consultant to industry, government, and nonprofit organizations.
After high school, I spent about seven years in Athens at the University of Georgia and managed to get a Bachelor's in Computer Science in 1989 and a Master's in Artificial Intelligence in 1992. My thesis dealt with incorporating temporal reasoning mechanisms into a production system, under the direction of Krys Kochut.
In the fall of 1992, I began a doctoral program at George Mason University in Fairfax, Virginia. After spending a year teaching undergraduate computer science courses, I began working in the Machine Learning and Inference Laboratory with Ryszard Michalski on a grant funded by the now defunct DARPA Image Understanding Program. This was a joint grant with the Computer Vision Lab at the University of Maryland, and we investigated how machine learning can be applied to problems in vision. In the fall of 1994, I had the opportunity to teach the AI class at Georgetown University, which was great fun. In the fall of 1996, I defended my dissertation, which dealt with learning static and changing concepts using partial instance memory.
After graduating, until the summer of 1998, I did post-doctoral work as a Research Scientist at the Institute for the Study of Learning and Expertise and as a Visiting Scholar in the Computational Learning Laboratory, Center for the Study of Language and Information at Stanford University. I worked with Pat Langley, Tom Binford, and Ram Nevatia on a project to use machine learning techniques to detect rooftops in aerial imagery using a data set provided by the Institute for Robotics and Intelligent Systems at USC. This project was funded by the now defunct DARPA Image Understanding Program.
For fun, I play a little guitar and do a little sailing. I'm always in search of great sushi. Lately, the best has been at umi in San Francisco.
Research Interests
Papers共 41 篇Author StatisticsCo-AuthorSimilar Experts
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CIKM'12: 21st ACM International Conference on Information and Knowledge Management
Maui
Hawaii
USA
October, 2012pp.389-398, (2013)
NIPS'10: Proceedings of the 23rd International Conference on Neural Information Processing Systems - Volume 1pp.127-135, (2010)
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ADVANCES IN MACHINE LEARNING I: DEDICATED TO THE MEMORY OF PROFESSOR RYSZARD S. MICHALSKI (2010): 23-47
IEEE Security & Privacyno. 6 (2009): 14-21
Machine Learning in Cyber Trustpp.109-132, (2009)
user-60d14cd84c775e0497060202(2008)
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RAID'07: Proceedings of the 10th international conference on Recent advances in intrusion detection (2007): 146-+
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