Sue Ann Hong
               Computer Science Department, Carnegie Mellon University
                       5000 Forbes Ave., Pittsburgh, PA 15213
                                 (626) 840-4504
                                sahong@cs.cmu.edu

SKILLS
 Computer     - C, C++, Intel 8018x Assembly, Scheme, Ocaml, Matlab, Java, Python, 
                JSP, XML, XSLT, mySQL
              - Familiar with Windows, Linux, Unix
 Laboratory   - Transcranial Magnetic Stimulus (TMS), Electrooculography (EOG), 
                Real-time Processors by TDT
              - Basic knowledge of analog and digital electrical circuits and 
                instruments
 Languages    - Fluency in English and Korean; 
                semi-fluency in Japanese, French, Chinese

WORK EXPERIENCE
 Graduate Research advised by Tom Mitchell	           September, 2005 -
   Investigating the value of global text information about entities for relation 
   classification.
 Bell Labs, Lucent Technologies      Summer Intern        May, 2006 - Aug, 2006
   Prediction of Dropped connections in a cellular network.
 Summer Science Program      Teaching Assistant              Jun, 2005 - Aug, 2005
   A 6-week program for high school students involving astronomy, physics, math, 
   and programming (http://www.ssp.org).
 California Institute of Technology    Teaching Assistant    Jan, 2005 - Mar, 2005
   Introduction to Programming Methods
 Nippon Telegraph and Telephone Corporation, Atsugi, Japan         Summer, 2004
   Internship; Advisors: Dr. Shin˘ya Nishida, Dr. Waka Fujisaki
  .Designed and tested accuracy of a system for audio-visual synchrony perception 
   experiments, using real-time processor by TDT, Matlab, and Adobe Premiere Pro. 
   Programmed and performed preliminary experiments on the tested system.
  .Presented the project to the NTT Atsugi Research Center community.
 California Institute of Technology 	DARPA Grand Challenge Team Caltech
                                                             Mar, 2003 - Mar, 2005
  .DARPA Grand Challenge is a robotics competition of fully autonomous ground 
   vehicles to complete a course between Los Angeles and Las Vegas (225 to 250 miles)
   in the fastest time and in less than 10 hours.  (http://team.caltech.edu)
  .During the summer, 2003, worked on interfacing brake, throttle, transmission, and 
   steering actuators to computers, building electrical circuits and software.
  .During the school year 2003-2004, worked on various aspects of path planning 
   including the arbiter, waypoint following, and the elevation map class.
  .During the school year 2004-2005, researched and implemented algorithms for making
   path decisions and handling   emergency responses based on sensing and system 
   conditions to optimize speed and safety. 
 California Institute of Technology  Summer Undergraduate Research Fellowship (SURF)
                                                                    Summer, 2002
   Undergraduate Researcher, Howard Hughes Medical Institute Scholar
   Advisors:  Prof. Shinsuke Shimojo, Daw-an Wu		
  .Experimental research to analyze the timing of human vision processing, using TMS 
   which generates electromagnetic pulses that can be applied to human scalp to cause
   illusionary sensory perception or motor reaction. Observed and analyzed the 
   difference between the perception time of objects seen through the eyes and that 
   of TMS-induced images. 
  .Presented the project and the final paper to the Caltech community.

EDUCATION
  Carnegie Mellon University, Pittsburgh, Pennsylvania
     Bell Labs Graduate Research Fellowship recipient
     Ph.D. student in Computer Science
  California Institute of Technology, Pasadena, California          June, 2005
     B.S. in Computer Science, GPA: 3.8

RELEVANT COURSEWORK
(Graduate) Machine Learning; Machine Learning Theory; Optimizing Compilers; 
  Bootstrap Learning for Information Extraction; Intermediate Statistics;
  Probabilistic Graphical Models
(Undergraduate)	Learning Systems; Computer Algorithms; Information Theory;
  Computation, Computers, and Programs; Introduction to Computer Systems;
  Computing Systems; Compilers Laboratory, Project; Networking;
  Computer Vision: Learning in Recognition
  Distributed Systems Laboratory; Solid State Electronics for Integrated Circuits;
  Fundamentals of Computer Science and Economics; Discrete Mathematics
  Introduction to Control and Dynamic Systems; Introductory Number Theory;
  Principles of Microprocessor Systems; Microprocessor Laboratory;
  Introduction to Complex Analysis, Ordinary and Partial Differential Equations
 Core mathematics and physics classes:
  Multivariable Calculus; Linear Algebra; Probability and Statistics; 
  Differential Equations; Mechanics; Electricity and Magnetism; Waves; 
  Quantum Mechanics; Statistical Mechanics