SRC Grand Finalists 2010

GRADUATE CATEGORY

First Place:
Patrick Kelley - Carnegie Mellon University
SIGCHI 2009
    Title of Submission: A “Nutrition Label” for Privacy

Second Place:
Michal Tvarozek  - Slovak University of Technology
HYPERTEXT 2009
   Title of Submission: Personalized Exploratory Search in the Semantic Web

Third Place:
Tae-Joon Kim 
SIGGRAPH 2009
  Title of Submission: RACBVHs: Random-Accessible Compressed Bounding Volume Hierarchies

UNDERGRADUATE CATEGORY

First Place:
Manasi Vartak - Worcester Polytechnic Institute
Grace Hopper 2009
  Title of Submission: QueryOriented Relaxation for Cardinality Assurance

Second Place:
Diego Cavalcanti - Federal University of Campina Grande
OOPSLA 2009
  Title of Submission: Improving Safety When Refactoring AspectOriented Programs 

Third Place:
Eric Drewniak - Wheaton College
SIGCSE 2009
  Title of Submission: Unsupervised Discovery of Motifs Under Uniform Amplitude Scaling and Shifting in Time Series Databases

ACM Case Studies

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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. 

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