SRC Grand Finalists 2008

GRADUATE CATEGORY

First Place:
Eugene Borodin - Stony Brook University
ASSETS 2006
    Title of Submission: HearSay: Context­Directed Non­Visual Web Browser

Second Place:
Emerson Murphy-Hill  - Portland State University
OOPSLA 2006
   Title of Submission: Improving Usability of Refactoring Tools

Third Place:
Bowen Hui - University of Toronto
Grace Hopper 2006
  Title of Submission: Automatic Software Customization: A Methodology for Learning Individual Preferences

UNDERGRADUATE CATEGORY

First Place:
Anselm Grundhoefer - Bauhaus-University Weimar
SIGGRAPH 2006
  Title of Submission: Real­Time Adaptive Radiometric Compensation

Second Place:
Maria A. Kazandjieva - Mt. Holyoke College
SIGCSE 2007
  Title of Submission: Lightweight Economic Models for Resource Sharing in Wireless Networks

Third Place:
Yuan-Ting E. Huang - University of British Columbia
Grace Hopper 2006
  Title of Submission: Mobile Phone Keypad Design for Fast Chinese Text Entry by Phonetic Spelling

ACM Case Studies

Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.

Why I Belong to ACM

Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.

Prediction-Serving Systems

ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.