Tank, I need an exit!

Steve Martin

443 Soda Hall
University of California, Berkeley
Berkeley, CA 94720-1776

s t e v e 0 (at) c s . b e r k e l e y . e d u


Note: Currently I am on leave from Berkeley to work at Amazon A9. As such, this page may be slightly out of date. However, you may still reach me at the above email address. Thanks!
[ About ]     [ Resume ]     [ Research ]     [ Teaching ]     [ Courses ]     [ Projects ]     [ Links ]     [ Pictures ]
     
  I once had a dog named Steve. Who are you?

I am a PhD student at the University of California at Berkeley. My interests are Systems, Security (particularly Computer Viruses), Networking, and Machine Learning. However, I have taken academic leave after recieving my MS. I hope to return in the near future.

Before I moved to Cali, I did my undergrad at the University of Washington up in Seattle. This involved spending five years of my life getting a B.S. in Computer Engineering with a minor in Mathematics. Why did it take me five years? I wandered quite a bit through school, starting out in Music Performance and making a long stop in Interdisciplinary Visual Art along the way. Then I ran out of time and money and was forced to graduate. But hey, five years is just long enough to make several lifelong friends, and being a college student in the Emerald City was an experience I'll never forget.

Right now I am working at Amazon A9, a search outfit that doesn't begin with a G and end with an oogle. I think a PhD will be in my future once I return.

 
     

     
  Research Publications and Presentations

Systems
  • Steve Martin. Analyzing Email Behavior for Novel Worm Detection. MS Thesis, UC Berkeley, 2005.

  • Steve Martin, Anil Sewani, Blaine Nelson, Karl Chen, and Anthony D. Joseph. Analyzing Behavioral Features for Email Classification. To appear in CEAS 2005.

  • Steven L. Martin, Anil Sewani, Blaine Nelson, and Karl Chen. Learning on User Behavior for Novel Worm Detection. Talk slides. Presented at the U.C. Berkeley Systems Lunch on 3/14/05.

  • Steven L. Martin and Anil Sewani. Semi-Supervised Learning on Email Characteristics for Novel Worm Detection. Poster, talk slides. Presented at the Winter 2005 OASIS Retreat and the Winter 2005 ROC Retreat, Tahoe CA.

  • Michael Swift, Steven L. Martin, Henry M. Levy, and Susan J. Eggers. Nooks: an architecture for reliable device drivers (pdf, 162k) in Proceedings of the Tenth ACM SIGOPS European Workshop, Saint-Emilion, France, Sept. 2002. Talk Slides ( ppt ).

  • Michael Swift, Steven L. Martin, Henry M. Levy, and Susan J. Eggers. Nooks: an architecture for reliable device drivers ( ppt ). UW Networking and Systems Retreat, June 2002
Graphics
  • Keith Grochow, Steven L. Martin, Zoran Popovic, and Aaron Hertzmann. Style-Based Inverse Kinematics (pdf, 1.41mb), in ACM Transactions on Graphics (SIGGRAPH 2004).
Machine Learning 		 
     

     
  Teaching
TAing is fun, but exhausting as hell. I have been a TA for the following courses:

University of Washington:
  • CSE 143: Introduction to Programming II (Summer 2001)
  • CSE 457: Graphics (Autumn 2002)
  • CSE 457: Graphics (Spring 2003)
  • CSE 326: Data Structures and Algorithms (Summer 2003)
University of California, Berkeley: 		 
     

     
  Resume
These resumes were last updated 10-09-2005. 		 
     
[ About ]     [ Resume ]     [ Research ]     [ Teaching ]     [ Courses ]     [ Projects ]     [ Links ]     [ Pictures ]
Last updated 11 Aug 2004