Winners, SRC 2005 - 2006

OOPSLA 2005 Winners

GRADUATE CATEGORY

First Place:

Danny Dig

    Title of Submission: Using Refractorings to Automatically Update Component-Based Applications

Second Place:

Uri Dekel

    Title of Submission: Supporting Distributed Software Design Meetings: What Can We Learn from Co-located Meetings?

Third Place (Tie):

David Janzen- University of Kansas

    Title of Submission: Software Architecture Improvement through Test-Driven Development

Third Place (Tie):

Ruth Lennon

    Title of Submission: Optimization of Service Provision for Composite Website Services (CWS)

 

SIGGRAPH 2005 Winners

UNDERGRADUATE CATEGORY

First Place:

Yuki Mori - University of Tokyo

Second Place:

Toshiya Hachisuka

GRADUATE CATEGORY

First Place:

Tiberiu Popa

Second Place:

Daniel Keefe

Third Place:

Masanori Kakimoto

 

MobiCom 2005 Winners

GRADUATE CATEGORY

First Place:

Joel Koshy

Second Place:

Albert F. Harris, III

Third Place:

Yaling Yang

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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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